ADNI Publications

The following table lists peer-reviewed articles that cite the use of North American ADNI Data.


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Displaying 771 publication(s).
 

 
Title Author(s) Year Journal PMCID/PMID/DOI
"Missed" MCI: High false-negative error rate based on conventional diagnostic criteria Edmonds EC, Delano-Wood L, Jak AJ, Galasko DR, Salmon DP, Bondi MW 2016 J Alzheimers Dis, 52:685-691 PMCID: 4879874
A genetics-based biomarker risk algorithm for predicting risk of Alzheimer's disease Lutz MW, Sundseth SS, Burns DK, Saunders AM, Hayden KM, Burke JR, Welsh-Bohmer KA, Roses AD 2016 Alzheimers Dement (N Y), 2(1):30-44 PMCID: 4817110
A spherical brain mapping of MR images for the detection of Alzheimer's disease Martinez-Murcia FJ, Górriz JM, Ramírez J, Ortiz A 2016 Curr Alzheimer Res, 13(5):575-588
Adaptive multivariate testing for multi-trait and multi-SNP associations with GWAS and sequencing data Kim J, Zhang Y, Pan W 2016 Genetics, 203(2):715-731 PMCID: 4896189
ADAS-cog variants in MCI and mild AD: Change over time and the effect of enrichment strategies Podhorna J, Krahnke T, Shear M, Harrison JE 2016 Alzheimers Res Ther, 8:8 PMCID: 4751673
Amyloid negativity in clinically diagnosed Alzheimer's disease and MCI patients Landau SM, Horng A, Fero A, Jagust WJ 2016 Neurology, 86(15):1377-1385 PMCID: 4831042
Amyloid status imputed from structural MRI distinguishes progressors from non-progressors in a mild Alzheimer's disease clinical trial cohort Tosun D, Chen YF, Yu P, Sundell KL, Suhy J, Siemers E, Schwarz AJ, Weiner MW 2016 Alzheimers Dement, Epub ahead of p
Amyloid-independent functional neural correlates of episodic memory in amnestic mild cognitive impairment Seo EH, Choo IL 2016 Eur J Nucl Med Mol Imaging, 43(6):1088-1095
Association between smoking and cholinergic basal forebrain volume in healthy aging and prodromal and dementia stages of Alzheimer's disease Teipel S, Grothe MJ 2016 J Alzheimers Dis, 52(4):1443-1451
Better verbal memory in women than men in MCI despite similar levels of hippocampal atrophy Sundermann EE, Biegon A, Rubin LH, Lipton RB, Mowrey W, Landau S, Maki PM 2016 Neurology, 86(15):1368-1376 PMCID: 4831033
Blood metabolite markers of neocortical amyloid-B burden: Discovery and enrichment using candidate proteins Voyle N, Kim M, Proitsi P, Ashton NJ, Baird AL, Bazenet C, Hye A, Westwood S, Chung R, Ward M, Rabinovici GD, Lovestone S, Breen G, Legido-Quigley C, Dobson RJ, Kiddle SJ 2016 Transl Psychiatry, 6:e719
Common genetic variant in VIT is associated with human brain asymmetry Tadayon SH, Vaziri-Pashkam M, Kahali P, Ansari Dezfouli M, Abbassian A 2016 Front Hum Neurosci, 10:236 PMCID: 4877381
Comparing the reproducibility of hippocampal atrophy rates measured with FreeSurfer, manual, AdaBoost, FSL/FIRST and the MAPS-HBI methods using the ADNI data set
Cover KS, van Schijndel RA, Versteeg A, Leung KK, Mulder ER, Jong RA, Visser PJ, Redolfi A, Revillard J, Grenier B, Manset D, Damangir S, Bosco P, Vrenken H, van Dijk BW, Frisoni GB, Barkhof F
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Cover KS, van Schijndel RA, Versteeg A, Leung KK, Mulder ER, Jong RA, Visser PJ, Redolfi A, Revillard J, Grenier B, Manset D, Damangir S, Bosco P, Vrenken H, van Dijk BW, Frisoni GB, Ba...
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2016 Psychiatry Res, 252:26-35
Complement 3 and factor H are staging biomarkers for Alzheimer's disease Hu WT, Watts KD, Tailor P, Nguyen TP, Howell JC, Lee RC, Seyfried NT, Gearing M, Hales CM, Levey AI, Lah JJ, Lee EK 2016 Acta Neuropathol Commun, 4:14 PMCID: 4758165
Correlation between subjective and objective assessment of magnetic resonance (MR) images Chow LS, Rajagopal H, Paramesran R 2016 Magn Reson Imaging, 34(6):820-831
Cortical amyloid burden in empirically-derived mild cognitive impairment subtypes Bangen KJ, Clark AL, Werhane M, Edmonds EC, Nation DA, Evangelista N, Libon DJ, Bondi MW, Delano-Wood L 2016 J Alzheimers Dis, 52(3):849-861 PMCID: 4884141
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
Allen GI, Amoroso N, Anghel C, Balagurusamy V, Bare CJ, Beaton D, Bellotti R, Bennett DA, Boehme KL, Boutros PC, Caberlotto L, Caloian C, Campbell F, Chaibub Neto E, Chang YC, Chen B, Chen CY, Chien TY, Clark T, Das S, Davatzikos C, Deng J, Dillenberger D, Dobson RJ, Dong Q, Doshi J, Duma D, Errico R, Erus G, Everett E, Fardo DW, Friend SH, Fröhlich H, Gan J, St George-Hyslop P, Ghosh SS, Glaab E, Green RC, Guan Y, Hong MY, Huang C, Hwang J, Ibrahim J, Inglese P, Iyappan A, Jiang Q, Katsumata Y, Kauwe JS, Klein A, Kong D, Krause R, Lalonde E, Lauria M, Lee E, Lin X, Liu Z, Livingstone J, Logsdon BA, Lovestone S, Ma TW, Malhotra A, Mangravite LM, Maxwell TJ, Merrill E, Nagorski J, Namasivayam A, Narayan M, Naz M, Newhouse SJ, Norman TC, Nurtdinov RN, Oyang YJ, Pawitan Y, Peng S, Peters MA, Piccolo SR, Praveen P, Priami C, Sabelnykova VY, Senger P, Shen X, Simmons A, Sotiras A, Stolovitzky G, Tangaro S, Tateo A, Tung YA, Tustison NJ, Varol E, Vradenburg G, Weiner MW, Xiao G, Xie L, Xie Y, Xu J, Yang H, Zhan X, Zhou Y, Zhu F, Zhu H, Zhu S
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Allen GI, Amoroso N, Anghel C, Balagurusamy V, Bare CJ, Beaton D, Bellotti R, Bennett DA, Boehme KL, Boutros PC, Caberlotto L, Caloian C, Campbell F, Chaibub Neto E, Chang YC, Chen B, C...
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2016 Alzheimer's Disease Neuroimaging Initiative: Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. Alzheimers Demet., 12(6):645-653
Disrupted network topology in patients with stable and progressive mild cognitive impairment and Alzheimer's disease Pereira JB, Mijalkov M, Kakaei E, Mecocci P, Vellas B, Tsolaki M, Koszewska I, Soininen H, Spenger C, Lovestone S, Simmons A, Wahlund LO, Volpe G, Westman E 2016 AddNeuroMed consortium, for the Alzheimer's Disease Neuroimaging Initiative: Epub ahead of print
Does posterior cingulate hypometabolism result from disconnection or local pathology across preclinical and clinical stages of Alzheimer's disease? Teipel S, Grothe MJ 2016 Eur J Nucl Med Mol Imaging, 43(3):526-36
Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer's disease cohorts Tan L, Wang HF, Tan MS, Tan CC, Zhu XC, Miao D, Yu WJ, Jiang T, Tan L, Yu JT 2016 Sci Rep, 6:26027 PMCID: 4882617
Effects of change in FreeSurfer version on classification accuracy of patients with Alzheimer's disease and mild cognitive impairment Chepkoech JL, Walhovd KB, Grydeland H, Fjell AM 2016 Hum Brain Mapp, 37(5):1831-1841
Evaluation of cerebrospinal fluid assay variability in Alzheimer's disease White MT, Shaw LM, Xie SX 2016 J Alzheimers Dis, 51(2):463-470
Examining the reliability of ADAS-Cog change scores for the Alzheimer's Disease Neuroimaging Initiative Grochowalski JH, Liu Y, Siedlecki KL 2016 Neuropsychol Dev Cogn B Aging Neuropsychol Cogn, 23(5):513-529
False positive error rates for reliable digit span and auditory verbal learning test performance validity measures in amnestic mild cognitive impairment and early Alzheimer disease Loring DW, Goldstein FC, Chen C, Drane DL, Lah JJ, Zhao L, Larrabee GJ 2016 Arch Clin Neuropsychol, 31:3 PMCID: 4876935
Gene prioritization for imaging genetics studies using Gene Ontology Patel S, Park MT 2016 Front Neuroinform, 10:14 PMCID: 4823264
Genetic overlap between immune-mediated diseases and Alzheimer's disease
Yokoyama JS, Wang Y, Schork AJ, Thompson WK, Karch CM, Cruchaga C, McEvoy LK, Witoelar A, Chen CH, Holland D, Brewer JB, Franke A, Dillon WP, Wilson DM, Mukherjee P, Hess CP, Miller Z, Bonham LW, Shen J, Rabinovici GD, Rosen HJ, Miller BL, Hyman BT, Schellenberg GD, Karlsen TH, Andreassen OA, Dale AM, Desikan RS
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Yokoyama JS, Wang Y, Schork AJ, Thompson WK, Karch CM, Cruchaga C, McEvoy LK, Witoelar A, Chen CH, Holland D, Brewer JB, Franke A, Dillon WP, Wilson DM, Mukherjee P, Hess CP, Miller Z, ...
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2016 JAMA Neurol, 73(6):691-697 PMCID: 4905783
Genome-wide interaction study of brain beta-amyloid burden and cognitive impairment in Alzheimer's disease Roostaei T, Nazeri A, Felsky D, De Jager PL, Schneider JA, Pollock BG, Bennett DA, Voineskos AN 2016 Mol Psychiatry, Epub ahead of print
Heritability and reliability of automatically segmented human hippocampal formation subregions
Whelan CD, Hibar DP, van Velzen LS, Zannas AS, Carrillo-Roa T, McMahon K, Prasad G, Kelly S, Faskowitz J, deZubiracay G, Iglesias JE, van Erp TG, Frodl T, Martin NG, Wright MJ, Jahanshad N, Schmaal L, Sämann PG, Thompson PM
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Whelan CD, Hibar DP, van Velzen LS, Zannas AS, Carrillo-Roa T, McMahon K, Prasad G, Kelly S, Faskowitz J, deZubiracay G, Iglesias JE, van Erp TG, Frodl T, Martin NG, Wright MJ, Jahansha...
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2016 Neuroimage, 128:125-137 PMCID: 4883013
High-dimensional morphometry longitudinal analysis in Alzheimer's disease Duchesne S, Valdivia F, Mouiha A, Robitaille N 2016 Neurobiol Aging, 36 Suppl 1:S11-22
Hypometabolism in brain of cognitively normal late-life depressed patients is accompanied by atrophy-related partial volume effects Brendel M, Reinisch V, Kalinowski E, Levin J, Delker A, Därr S, Pogarell O, Förster S, Bartenstein P, Rominger A 2016 Curr Alzheimer Res 13(5):475-486
Independent and interactive influences of the APOE genotype and beta-amyloid burden on cognitive function in mild cognitive impairment Seo EH, Kim SH, Park SH, Kang SH, Choo IH 2016 J Korean Med Sci, 31(2):286-295 PMCID: 4729511
Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease Chincarini A, Sensi F, Rei L, Gemme G, Squarcia S, Longo R, Brun F, Tangaro S, Bellotti R, Amoroso N, Bocchetta M, Redolfi A, Bosco P, Boccardi M, Frisoni GB, Nobili F 2016 Neuroimage, 125:834-847
Is there an asymmetric distribution of in vivo amyloid in primary progressive aphasia? Martersteck A, Murphy C, Rademaker A, Wieneke C, Weintraub S, Chen K, Mesulam MM, Rogalski E 2016 Ann Neurol, 79(3):496-501 PMCID: 4789129
Linear and curvillinear trajectories of cortical loss with advancing age and disease duration in Parkinson's disease Claassen DO, Dobolyi DG, Isaacs DA, Roman OC, Herb J, Wylie SA, Neimat JS, Donahue MJ, Hedera P, Zald DH, Landman BA, Bowman AB, Dawant BM, Rane S 2016 Aging Dis, 7(3):220-229
Longitudinal positron emission tomography in preventive Alzheimer's disease drug trials, critical barriers from imaging science perspective Shokouhi S, Campbell D, Brill AB, Gewirtsman HE 2016 Epub ahead of print
Longitudinal study of the impaired network architecture in early MCI and late MCI Zhan Y, Ma J, Alexander-Bloch AF, Xu K, Cui Y, Feng Q, Jiang T, Liu Y 2016 J Alzheimers Dis, 52(3):913-927
Measuring global brain atrophy with the BV/CSF index: Normative values, cut-offs and clinical associations Orellana C, Ferreira D, Muehlboeck JS, Mecocci P, Vellas B, Tsolaki M, K?oszewska I, Soininen H, Lovestone S, Simmons A, Wahlund LO, Westman E 2016 Neurodegener Dis, 16(1-2):77-86
Metabolic connectomics targeting brain pathology in dementia with Lewy bodies Caminiti SP, Tettamanti M, Sala A, Presotto L, Iannaccone S, Cappa SF, Magnani G, Perani D 2016 Epub ahead of print
Modulation of glucose metabolism and connectivity by B-amyloid Carbonell F, Zijdenbos AP, McLaren DG, Iturria-Medina Y, Bedell BJ 2016 Epub ahead of print
Multimodal image analysis in Alzheimer's disease via statistical modelling of non-local intensity correlations Lorenzi M, Simpson IJ, Mendelson AF, Vos SB, Cardoso MJ, Modat M, Schott JM, Ourselin S 2016 Sci Rep, 6:22161 PMCID: 4827392
Multivariate statistical analysis of diffusion imaging parameters using partial least squares: Application to white matter variations in Alzheimer's disease Konukoglu E, Coutu JP, Salat DH, Fischl B 2016 Neuroimage, 134:573-586 PMCID: 4912936
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: A study of ADNI cohorts Song A, Yan J, Kim S, Risacher SL, Wong AK, Saykin AJ, Shen L, Greene CS 2016 BioData Min, 9:3 PMCID: 4717572
Neurocognitive variability aids in the identification of individuals with mild cognitive impairment Palmqvist S, Mattsson N, Hansson O 2016 Brain, 139(Pt 4):1226-1236 PMCID: 4806222
No association between schizophrenia susceptibility variants and macroscopic structural brain volume variation in healthy subjects Li M, Huang L, Wang J, Su B, Luo XJ 2016 Am J Med Genet B Neuropsychiatr Genet, 171B(2):160-168
Normative data for subcortical regional volumes over the lifetime of the adult human brain Potvin O, Mouiha A, Dieumegarde L, Duchesne S 2016 Neuroimage, 137:9-20
Optimizing effect size with imaging enrichment and outcomes in Alzheimer's disease clinical trials Chang TS, Teng E, Elashoff D, Grill JD 2016 Alzheimer Dis Assoc Disord, Epub ahead of print
Potential clinical value of multiparametric PET in the prediction of Alzheimer's disease progression Chen X1,2, Zhou Y1,2, Wang R1, Cao H3, Reid S2, Gao R2,4, Han D5 2016 PLoS One, 11(5):e0154406 PMCID: 4868310
Powerful and adaptive testing for multi-trait and multi-SNP associations with GWAS and sequencing data Kim J1, Zhang Y1, Pan W 2016 Genetics, 203:715-731 PMCID: 4896189
Predicting progression from mild cognitive impairment to Alzheimer's dementia using probabilistic pattern classification Korolev IO, Symonds LL, Bozoki AC 2016 PLoS One, 11(2):e0138866 PMCID: 4762666
Prediction of conversion from mild cognitive impairment to Alzheimer's disease based upon combination of MRI and structural network features Wei R, Li C, Fogelson N, Li L 2016 Front Aging Neurosci, 8:76 PMCID: 4836149
Removing inter-subject technical variability in magnetic resonance imaging studies Fortin JP, Sweeney EM, Muschelli J, Crainiceanu CM, Shinohara RT 2016 Neuroimage, 15;132-212
Sex differences in the association between AD biomarkers and cognitive decline Koran ME, Wagener M, Hohman TJ 2016 Epub ahead of print
Sex differences in the relationship between hippocampal volume and verbal memory across stages of Alzheimer's disease Sundermann EE, Biegon A, Rubin LH, Lipton RB, Mowrey W, Landau S, Maki PM 2016 Neurology, 86(15):1368-1376 PMCID: 4831033
Shared genetic contribution to Ischaemic stroke and Alzheimer's disease Traylor M, Adib-Samii P, Harold D 2016 International Genomics of Alzheimer's Project (IGAP), investigator
Single-index varying coefficient model for functional responses Luo X, Zhu L, Zhu H 2016 Biometrics, Epub ahead of print
Smooth-threshold multivariate genetic prediction with unbiased model selection "Ueki M1, Tamiya G2 2016 Genet Epidemiol, 40(3):233-243
Statistical shape analysis of subcortical structures using spectral matching Shakeri M, Lombaert H, Datta AN, Oser N, Létourneau-Guillon L, Lapointe LV, Martin F, Malfait D, Tucholka A, Lippé S, Kadoury S 2016 Epub ahead of print
Structured sparse canonical correlation analysis for brain imaging genetics: An improved graphnet method Du L, Huang H, Yan J, Kim S, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L 2016 Bioinformatics, 32(10):1544-1551 PMCID: 4907375
The neural correlates of anomia in the conversion from mild cognitive impairment to Alzheimer's disease Pravatà E1,2, Tavernier J3, Parker R4, Vavro H5, Mintzer JE6, Spampinato MV3 2016 Neuroradiology, 58(1):59-67
The performance of FSL-FIRST for prediction of conversion to probable Alzheimer's disease in amnestic mild cognitively impaired subjects Suppa P, Hampel H, Kepp T, Lange C, Spies L, Fiebach JB, Dubois B, Buchert R 2016 J Alzheimers Dis, 51(3):867-873
?-secretase and YKL-40 in CSF across the preclinical stages of Alzheimer?s disease
Alcolea D, Martínez-Lage P, Sánchez-Juan P, Olazarán J, Antúnez C, Izagirre A, Ecay-Torres M, Estanga A, Clerigué M, Guisasola MC, Sánchez Ruiz D, Marín Muñoz J1, Calero M, Blesa R, Clarimón J, Carmona-Iragui M, Morenas-Rodríguez E, Rodríguez-Rodríguez E, Vázquez Higuera JL, Fortea J, Lleó A
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Alcolea D, Martínez-Lage P, Sánchez-Juan P, Olazarán J, Antúnez C, Izagirre A, Ecay-Torres M, Estanga A, Clerigué M, Guisasola MC, Sánchez Ruiz D, Marín Muñoz J1, Calero M, Bles...
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2015 Neurology, 85:626-633
A cautionary note on using secondary phenotypes in neuroimaging genetic studies Kim J, Pan W 2015 Neuroimage, 121:136145 PMCID: 4604049
A cognitive psychometric model for the psychodiagnostic assessment of memory related deficits Alexander GE, Satalich TA, Shankle WR, Batchelder WH 2015 Psychol Assess, Epub ahead of print
A computational method for computing an Alzheimer's disease progression score; Experiments, and validation with the ADNI dataset Jedynak BM, Liu B, Lang A, Gel Y, Prince JL 2015 Neurobiol Aging, 36 Suppl 1: S178-S184 PMCID: 4267989
A concise multi-scale heat kernel based grey matter morphology signature Wang G, Wang Y 2015 MICCAI, 9351:751-759 PMCID: 4633017
A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer's disease Dai P, Gwadry-Sridhar F, Bauer M, Borrie M 2015 AMIA Annu Symp Proc, 2015:475-483 PMCID: 4765614
A novel cortical thickness estimation method based on voumetric laplace-beltrami operator and heat kernel Wang G, Zhang X, Su Q, Shi J, Caselli RJ, Wang Y 2015 Med Image Anal, 22(1):1-20 PMCID: 4405465
A robust MR image intensity standardization De Nunzio G, Cataldo R, Carlà A 2015 J Digit Imaging, 28(6):727-737 PMCID: 4636718
A simulation system for biomarker evolution in neurodegenerative disease Young AL, Oxtoby NP, Ourselin S, Schott JM, Alexander DC 2015 Med Image Anal, 26:47-56
Accelerated vs. unaccelerated serial MRI based TBM-SyN measurements for Clinical Trials in Alzheimer's disease Vemuri P, Senjem ML, Gunter JL, Lundt ES, Tosakulwong N, Weigand SD, Borowski BJ, Bernstein MA, Zuk SM, Lowe VJ, Knopman DS, Petersen RC, Fox NC, Thompson PM, Weiner MW, Jack CR Jr 2015 Neuroimage, 113:61-69 PMCID: 4456670
Accurate prediction of conversion to Alzheimer's disease using imaging, genetic and neuropsychological biomarkers Dukart J, Sambataro F, Bertolino A 2015 J Alzheimers Dis, 49(4):1143-1159
Alterations in brain leptin signalling in spite of unchanged CSF leptin levels in Alzheimer's disease Maioli S, Lodeiro M, Merino-Serrais P, Falahati F, Khan W, Puerta E, Codita A, Rimondini R, Ramirez MJ, Simmons A, Gil-Bea F, Westman E, Cedazo-Minguez A 2015 Aging Cell, 14(1):122-129 PMCID: 4326905
Altered gray matter structural covariance networks in early stages of Alzheimer's disease Montembeault M, Rouleau I, Provost JS, Brambati SM 2015 Cereb Cortex, Epub ahead of print
Altered regional brain volumes in elderly carriers of a risk variant for drug abuse in the dopamine D2 receptor gene (DRD2) Roussotte FF, Jahanshad N, Hibar DP, Thompson PM 2015 Brain Imaging Behav, 9(2):213-222 PMCID: 4276548
Altered whole-brain white matter networks in preclinical Alzheimer's disease Fischer FU, Wolf D, Scheurich A, Fellgiebel A 2015 Neuroimage Clin, 8:660-666 PMCID: 4536470
Alzheimer's disease diagnosis on structural MR images using local features on hippocampus and posterior cingulate cortex Ben Ahmed O, Mizotin M, Benois-Pineau J, Allard M, Catheline G, Ben Amar C 2015 Comput Med Imaging Graph, 44:13-25
Amyloid beta-weighted cortical thickness: A new imaging biomarker in Alzheimer's disease Kim CM, Hwang J, Lee JM, Roh JH, Lee JH, Koh JY 2015 Current Alzheimer Research, 12:563-571
Amyloid PET in European and North American cohorts; and exploring age as a limit to clinical use of amyloid imaging Chiotis K, Carter SF, Farid K, Savitcheva I, Nordberg A 2015 Eur J Nucl Med Mol Imaging, 42:1492-14506 PMCID: 4521094
An integrated bioinformatics approach for identifying genetic markers that predict CSF biomarker in APOE4-negative MCI patients Sun Y, Bresell A, Rantalainen M, Höglund K, Lebouvier T, Salter H 2015 J Alzheimers Dis. 45:1061-1076
Apathy as a feature of prodromal Alzheimer's disease: A FDG-PET ADNI Study Delrieu J, Desmidt T, Camus V, Sourdet S, Boutoleau-Bretonnière C, Mullin E, Vellas B, Payoux P, Lebouvier T 2015 Int J Geriatr Psychiatry, 30(5):470-477
APOE effect on Alzheimer's disease biomarkers in older adults with significant memory concern Risacher SL, Kim S, Nho K, Foroud T, Shen L, Petersen RC, Jack CR Jr, Beckett LA, Aisen PS, Koeppe RA, Jagust WJ, Shaw LM, Trojanowski JQ, Weiner MW, Saykin AJ 2015 Alzheimers Dement, S!552-5260: 00124-00127
APOE-by-sex interactions on brain structure and metabolism in healthy elderly controls
Sampedro F, Vilaplana E, de Leon MJ, Alcolea D, Pegueroles J, Montal V, Carmona-Iragui M, Sala I, Sánchez-Saudinos MB, Antón-Aguirre S, Morenas-Rodríguez E, Camacho V, Falcón C, Pavía J, Ros D, Clarimón J, Blesa R, Lleó A, Fortea J
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Sampedro F, Vilaplana E, de Leon MJ, Alcolea D, Pegueroles J, Montal V, Carmona-Iragui M, Sala I, Sánchez-Saudinos MB, Antón-Aguirre S, Morenas-Rodríguez E, Camacho V, Falcón C, Pav...
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2015 Oncotarget, 6(29):26663-26674 PMCID: 4694943
Approximate score-based testing with application to multivariate trait association analysis Xu Z, Pan W 2015 Genetic Epidemiology, 39: 469-479
Assessing treatment effects with surrogate surival outcomes using an internal validation subsample Zee J, Xie SX 2015 Clin Trials, 12:333-341 PMCID: 4450363
Association of fish oil supplement use with preservation of brain volume and cognitive function Daiello LA, Gongvatana A, Dunsiger S, Cohen RA, Ott BR 2015 Alzheimers Dement, 11(2):226-235 PMCID: 4829435
Associations between neuropsychiatric symptoms and cerebral amyloid deposition in cognitively impaired elderly people Bensamoun D, Guignard R, Furst AJ, Derreumaux A, Manera V, Darcourt J, Benoit M, Robert PH, David R 2015 J Alzheimers Dis, 49(2): 387-398
Associations between verbal learning slope and neuroimaging markers across the cognitive aging spectrum Gifford KA, Phillips JS, Samuels LR, Lane EM, Bell SP, Liu D, Hohman TJ, Romano RR, Fritzsche LR, Lu Z, Jefferson AL 2015 J Int Neuropsychol Soc, 21:455-467 PMCID: 4657447
Automated hippocampal subfield measures as predictors of conversion from mild cognitive impairment to Alzheimer's disease Khan W, Westman E, Jones N, Wahlund LO, Mecocci P, Vellas B, Tsolaki M, Koszewska I, Soininen H, Spenger C, Lovestone S, Muehlboeck JS, Simmons A 2015 Brain Topogr, 28 PMCID: 4529880
Boosting brain connectome classification accuracy in Alzheimer's disease using higher-order singular value decomposition Zhan L, Liu Y, Wang Y, Zhou J, Jahanshad N, Ye J, Thompson PM 2015 Front Neurosci, 9:257 PMCID: 4513242
Brain amyloidosis ascertainment from cognitive, imaging, and peripheral blood protein measures Apostolova LG, Hwang KS, Avila D, Elashoff D, Kohannim O, Teng E, Sokolow S, Jack CR, Jagust WJ, Shaw L, Trojanowski JQ, Weiner MW, Thompson PM 2015 Neurobiology, 4(7):729-737 PMCID: 4336101
Brain structure and function as mediators of the effects of amyloid on memory Mattsson N, Insel PS, Aisen PS, Jagust W, Mackin S, Weiner M 2015 Neurology, 84:1136-1144 PMCID: 4371407
BrainPrint: A discriminiative characterization of brain morphology Wachinger C, Golland P, Kremen W, Fischl B, Reuter M 2015 Neuroimage. 2015 Apr 1;109:232-48. PMCID: 4340729
Carriers of a common variant in the dopamine transporter gene have greater dementia risk, cognitive decline, and faster ventricular expansion Roussotte FF, Gutman BA, Hibar DP, Madsen SK, Narr KL, Thompson PM 2015 Alzheimer's & Dementia, 11(10):1153-1162 PMCID: 4465053
Cerebral microbleeds, CSF p-tau, and cognitive decline: significance of anatomical distribution Chiang GC, Cruz Hernandez JC, Kantarci K, Jack CR Jr, Weiner MW 2015 AJNR Am J Neuroadial, 36:1635-1641
CFH variants affect structural and functional brain changes and confer Alzheimer's susceptibility Zhang DF, Li J, Wu H, Cui Y, Bi R, Zhou HJ, Wang HZ, Zhang C, Wang D 2015 Neuropsychopharmacology, Epub ahead of print
Changes in thalamus connectivity in the early and late stages of amnestic mild cognitive impairment: A resting-state functional magnetic resonance study from ADNI Cai S, Huang L, Zou J, Jing L, Zhai B, Ji G, von Deneen KM, Ren J, Ren A 2015 PLoS One, 10(2):e0115573 PMCID: 4332494
Characteristics of Alzheimer's disease biomarkers in the reversion from mild cognitive impairment to cognitively normal Park MH, Han C 2015 Int Psychogeriatr. 2015 Mar;27(3):429-37
Cognitive correlates of basal forebrain atrophy and associated cortical hypometabolism in mild cognitive impairment Grothe MJ, Heinsen H, Amaro E Jr, Grinberg LT, Teipel SJ 2015 Cereb Cortex 26(6):2411-26; Epub ahead of print
Combination of plasma and cerebrospinal fluid makers predicts mid-term progression from Mild Cognitive Impairment to Alzheimer's disease Lehallier B, Essioux L, Gayan J, Alexandridis R, Nikolcheva T, Wyss-Coray T, Britschgi M 2015 JAMA Neurol, 14:1-10
Common genetic variants influence human subcortical brain structures Hibar DP, Stein JL, Renteria ME, Arias-Vasquez A 2015 Nature, 520(7546):224-229 PMCID: 4393366
Comparing 3T and 1.5T MRI for mapping hippocampal atrophy in the Alzheimer's Disease Neuroimaging Initiative Chow N, Hwang KS, Hurtz S, Green AE, Somme JH, Thompson PM, Elashoff DA, Jack CR,Weiner M, Apostolova LG 2015 AJNR Am J Neuroradiol, 36(4):653-660, 2015
Comparison of APOE-related brain connectivity differences in EMCI and normal aging populations: An fMRI Study McKenna F, Koo BB, Killiany R 2015 Brain Imaging Behav, Epub ahead of print
Comparison of automated brain segment volume measures obtained with NeuroQuant and FreeSurfer Ochs AL, Ross DE, Zannoni MD, Abildskov TJ, Bigler ED 2015 J Neuroimaging, 25(5):721-727
Comparison of visual and quantitative florbetapir PET analysis in predicting MCI outcomes Schreiber S, Landau SM, Fero A, Schreiber F, Jagust WJ 2015 JAMA Neurology, 72(10):1183-1190
Corpus callosum atrophy rate in mild cognitive impairment and prodromal Alzheimer's Disease Elahi S, Bachman AH, Lee SH, Sidtis JJ, Ardekani BA 2015 J Alzheimers Dis, 45:921-931 PMCID: 4451933
Defining normative rules for healthy aging using neuroimaging and machine learning: An application to Alzheimer's disease Andrade de Oliveira A, Carthery-Goulart MT, Oliveira Júnior PP, Carrettiero DC, Sato JR 2015 J Alzheimers Dis, 43:201-212
Depressive symptoms and small hippocampal volume accelerate the progression to dementia from mild cognitive impairment Chung JK, Plitman E, Nakajima S, Chakravarty MM, Caravaggio F, Takeuchi H, Gerretsen P, Iwata Y, Patel R, Mulsant BH, Graff-Guerrero A 2015 J Alzheimers Dis, 49(3):743-754
Development and evaluation of a multiplexed mass spectrometry-based assay for measuring candidate peptide biomarkers in Alzheimer's Disease Neuroimaging Initiative (ADNI) CSF Spellman DS, Wildsmith KR, Honigberg LA, Tuefferd M, Baker D, Raghavan N, Naim AC, Croteau P, Schirm M, Allard R, Lamontagne J, Chelsky D, Hoffman S, Potter WZ 2015 Proteomics Clin Appl, 9:715-731 PMCID: 4739636
Diffusion tensor imaging reveals visual pathway damage in patients with Alzheimer's disease and mild cognitive impairment Nishioka C, Poh C, Sun SW 2015 J Alzheimers Dis. 2015 Jan 1;45(1):97-107 PMCID: 4500052
Directed network motifs from MRI cortical thickness as markers in Alzheimer's disease and mild cognitive impairment Friedman EJ, Young K, Tremper G, Liang J, Landsberg AS, Schuff N 2015 PLoS One, 10(4):e0124453 PMCID: 4400037
Discovering Alzheimer genetic biomarkers using Bayesian networks Sherif FF, Zayed N, Fakhr M 2015 Adv Bioinformatics, 2015:639367 PMCID: 4561111
Diurnal fluctuations in brain volume: Statistical analyses of MRI from large populations Nakamura K, Brown RA, Narayanan S, Collins DL, Arnold DL 2015 Neuroimage. 118:126-132
Effect of REST on brain metabolism in the Alzheimer's disease continuum Dols-Icardo O, Vilaplana E, Sampedro F, Alcolea D, Belbin O, Camacho V, Blesa R, Lleó A, Clarimón J, Fortea J 2015 Ann Neurol, 78:661-662
Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer's disease Ota K, Oishi N, Ito K, Fukuyama H; SEAD-J Study Group 2015 J Neurosci Methods, 256:168-183
Efficient continuous-time hidden markov model for disease modeling Liu YY, Li S, Li F, Song L, Rehg JM 2015 Adv Neural Inf Process Syst., 28:3599-3607 PMCID: 4804157
Ensemble merit merge feature selection for enhanced multinomial classification in Alzheimer's dementia Sivapriya TR, Kamal AR, Thangaiah PR 2015 Comput Math Methods Med, 2015:676129 PMCID: 4632180
Equivalence of kernel machine regression and kernel distance covariance for multidimensional trait association studies Hua WY, Ghosh D 2015 Biometrics, 71(3):812-20
Estimating anatomical trajectories with bayesian mixed-effects modeling Ziegler G, Penny WD, Ridgway GR, Ourselin S, Friston KJ 2015 Neuroimage, 121:51-68
Feature selection based on the SVM weight vector for classification of dementia Bron EE, Smits M, Niessen WJ, Klein S 2015 Feature selection based on the SVM weight vector for classification of dementia. IEE J Biomed Health Inform, 19:1617-1626
Florbetapir positron emission tomography and cerebrospinal fluid biomarkers Hake A, Trzepacz PT, Wang S, Yu P, Case M, Hochstetler H, Witte MM, Degenhardt EK, Dean RA 2015 Alzheimers Dement, 11(8):986-993 PMCID: 4544658
Fully automated atlas-based hippocampus volumetry for clinical routine: Validation in subjects with mild cognitive impairment from the ADNI cohort Suppa P, Hampel H, Spies L, Fiebach JB, Dubois B, Buchert R 2015 Fully automated atlas-based hippocampus volumetry for clinical routine: Validation in subjects with mild cognitive impairment from the ADNI cohort. Epub ahead of print, 2015.
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data Huang M, Nichols T, Huang C, Yu Y, Lu Z, Knickermeyer RC, Feng Q, Zhu H 2015 Neuroimage, 118:613-627, 2015. PMCID: 4554832
Gene interactions and structural brain change in early-onset Alzheimer's disease subjects using the Pipeline Environment Moon SW, Dinov ID, Zamanyan A, Shi R, Genco A, Hobel S, Thompson PM, Toga AW 2015 Psychiatry Investig, 12(1):125-135 PMCID: 4310910
Genetics studies of quantiative MCI and AD phenotypes in ADNI: Progress, opportunities and plans
Saykin AJ, Shen L, Yao X, Kim S, Nho K, Risacher SL, Ramanan VK, Foroud TM, Faber KM, Sarwar N, Munsie LM, Hu X, Soares HD, Potkin SG, Thompson PM, Kauwe JS, Kaddurah-Daouk R, Green RC, Toga AW, Weiner MW
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Saykin AJ, Shen L, Yao X, Kim S, Nho K, Risacher SL, Ramanan VK, Foroud TM, Faber KM, Sarwar N, Munsie LM, Hu X, Soares HD, Potkin SG, Thompson PM, Kauwe JS, Kaddurah-Daouk R, Green RC,...
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2015 Alzheimer's & Dementia, 11:792-814 PMCID: 4510473
Graph theoretic analysis of structural connectivity across the spectrum of Alzheimer's disease Phillips DJ, McGlaughlin A, Ruth 1, Jager LR, Soldan A 2015 Neuroimage Clin, 7:377-390 PMCID: 4429220
Gray and white matter tissue contrast differentiates MCI converters from non-converters Jefferson AL, Gifford KA, Damon S, Chapman GW 4th, Liu D, Sparling J, Dobromyslin V, Salat D 2015 Brain Imaging Behav, 9(2):141-148 PMCID: 4146750
GWAS of longitudinal amyloid accumulation on 18F-florbetapir PET in Alzheimer's disease implicates microglial activiation gene IL1RAP
Ramanan VK, Risacher SL, Nho K, Kim S, Shen L, McDonald BC, Yoder KK, Hutchins GD, West JD, Tallman EF, Gao S, Foroud TM, Farlow MR, De Jager PL, Bennett DA, Aisen PS, Petersen RC, Jack CR Jr, Toga AW, Green RC, Jagust WJ, Weiner MW, Saykin AJ
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Ramanan VK, Risacher SL, Nho K, Kim S, Shen L, McDonald BC, Yoder KK, Hutchins GD, West JD, Tallman EF, Gao S, Foroud TM, Farlow MR, De Jager PL, Bennett DA, Aisen PS, Petersen RC, Jack...
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2015 Brain, 138(Pt 10):3076-3088 PMCID: 4671479
Harmonized benchmark labels of the hippocampus on MR: The EADC-ADNI project Bocchetta M, Boccardi M, Ganzola R, Apostolova LG, Preboske G, Wolf D, Ferrari C, Pasqualetti P, Robitaille N, Duchesne S, Jack CR Jr, Frisoni GB 2015 EADC-ADNI Working Group on The Harmonized Protocol for Manual Hippocampal Segmentation and the Alzheimer's Disease Neuroimaging Initiative; Alzheimer's & Dementia, 11(2):151-160.e5
Head-to-head comparison of two popular cortical thickness extraction algorithms: A cross sectional and longitudinal study Redolfi A, Manset D, Barkhof F, Wahlund LO, Glatard T, Mangin JF, Frisoni GB 2015 PLoS One. 10(3):e0117692 PMCID: 4364123
Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in AD Yan J, Kim S, Nho K, Chen R, Risacher SL, Moore JH, Saykin AJ, Shen L 2015 Front Genet, 6:117 PMCID: 4374536
Hippocampal unified multi-atlas network (HUMAN): Protocol and scale validation of a novel segmentation tool Amoroso N, Errico R, Bruno S, Chincarini A, Garuccio E, Sensi F, Tangaro S, Tateo A, Bellotti R 2015 Phys Med Biol, 60(22):8851-8867
HMG CoA reductase is a genetic modifier for risk, age of onset and conversion in Alzheimer's disease: A triple-cohorts study Leduc V, De Beaumont L, Théroux L, Dea D, Aisen P, Petersen RC; the Alzheimer's Disease Neuroimaging Initiative, Dufour R, Poirier 2015 J. Mol Psychiatry, 20(7):867-873 PMCID: 4318698
Independent evidence for an association between general cognitive ability and a genetic locus for educational attainment
Trampush JW, Lenca T, Knowles E, Davies G, Guha S, Pe'er I, Liewald DC, Starr JM, Djurovic S, Melle I, Sundet K, Christoforou A, Reinvang I, Mukherjee S, DeRosse P, Lundervold A, Steen VM, John M, Espeseth T, Raikkonen K, Widen E, P:alotie A, Eriksson JG, Giegling I, Konte B, Ikeda M, Roussos P, Giakoumaki S, Burdick KE, Payton A, Ollier W, Horan M, Scult M, Dickinson D, Straub RE, Donohoe G, Morris D, Corvin A, Gill M, Hariri A, Weinberger DR, Pendleton N, Iwata N, Darvasi A, Bitsios P, Rujescu D, Lahti J, Le Hellard S, Keller MC, Andreassen OA, Deary IJ, Glahn DH, Malhotra AK
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Trampush JW, Lenca T, Knowles E, Davies G, Guha S, Pe'er I, Liewald DC, Starr JM, Djurovic S, Melle I, Sundet K, Christoforou A, Reinvang I, Mukherjee S, DeRosse P, Lundervold A, Steen ...
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2015 Am J Med Genet B Neuropsychiatr Genet, 168B:363-373 PMCID: 4500051
Lack of an association of BDNF Val66Met polymorphism and plasma BDNF with hippocampal volume and memory Kim 1, Fagan AM, Goate AM, Benzinger TL, Morris JC, Head D 2015 Cogn Affect Behav Neurosci, 15:625-643 PMCID: 4529376
Large-scale genomics unveil polygenic architecture of human cortical area expansion
Chen CH, Peng Q, Schork AJ, Lo MT, Fan CC, Wang Y, Desikan RS, Bettella F, Hagler DJ; Pediatric Imaging, Neurocognition and Genetics Study; Alzheimer?s Disease Neuroimaging Initiative, Westlye LT, Kremen WS, Jernigan TL, Hellard SL, Steen VM, Espeseth T, Huentelman M, Håberg AK, Agartz I, Djurovic S, Andreassen OA, Schork N, Dale AM
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Chen CH, Peng Q, Schork AJ, Lo MT, Fan CC, Wang Y, Desikan RS, Bettella F, Hagler DJ; Pediatric Imaging, Neurocognition and Genetics Study; Alzheimer?s Disease Neuroimaging Initiative, ...
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2015 Nat Commun, 6:7549 PMCID: 4518289
Lifetime history of depression predicts increased beta-amyloid accumulation in patients with mild cognitive impairment Chung JK, Plitman E, Nakajima S, Chow TW, Chakravarty MM, Caravaggio F, Gerretsen P, Brown EE, Iwata Y, Mulsant BH, Graff-Guerrero A 2015 J Alzheimers Dis, 45:907-919
Linking genetics of brain changes to Alzheimer's disease: Sparse whole genome association scan of regional MRI volumes in the ADNI and AddNeuroMed cohorts
Khondoker M, Newhouse 1, Westman E, Muehlboeck JS, Mecocci P, Vellas B, Tsolaki M, K?oszewska I, Soininen H, Lovestone S, Dobson R, Simmons A; AddNeuroMed consortium; Alzheimer's Disease Neuroimaging Initiative
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Khondoker M, Newhouse 1, Westman E, Muehlboeck JS, Mecocci P, Vellas B, Tsolaki M, K?oszewska I, Soininen H, Lovestone S, Dobson R, Simmons A; AddNeuroMed consortium; Alzheimer's Diseas...
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2015 J Alzheimers Dis, 45:851-864
Measuring brain atrophy with a generalized formulation of the boundary shift integral Prados F, Cardoso MJ, Leung KK, Cash DM, Modat M, Fox NC, Wheeler-Kingshott CA, Ourselin S; Alzheimer's Disease Neuroimaging Initiative 2015 Neurobiol Aging, 36 Suppl 1, S81-S90 PMCID: 4288791
Memory, executive and multi-domain subtle cognitive impairment: clinical and biomarker findings Toledo JB, Bjerke M, Chen K, Rozycki M, Jack CR Jr, Weiner MW, Arnold SE, Reiman EM, Davatzikos C, Shaw LM, Trojanowski JQ 2015 Neurology, 85:144-153 PMCID: 4515043
Mild cognitive impairment with suspected non AD pathology (SNAP): Prediction of progression to dementia
Caroli A, Prestia A, Galluzzi S, Ferrari C, van der Flier WM, Ossenkoppele R, Van Berckel B,Barkhof F, Teunissen C, Wall AE, Carter SF, Schöll M, Choo IH, Grimmer T, Redolfi A, Nordberg A, Scheltens P, Drzezga A, Frisoni GB
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Caroli A, Prestia A, Galluzzi S, Ferrari C, van der Flier WM, Ossenkoppele R, Van Berckel B,Barkhof F, Teunissen C, Wall AE, Carter SF, Schöll M, Choo IH, Grimmer T, Redolfi A, Nordber...
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2015 Neurology 84(5):508-15 PMCID: 4336071
Modeling clustered activity increase in amyloid-B PET images with statistical descriptors Shokouhi S, Rogers BP, Kang H, Ding Z, Claassen DO, Mckay JW, Riddle WR 2015 Clin Interv Aging, 10:759-770 PMCID: 4408970
Multiple comparison procedures for neuroimaging genomewide association studies Hua WY, Nichols TE, Ghosh D 2015 Biostatistics, 16:17-30 PMCID: 4263222
Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration Chen T, Zeng D, Wang Y 2015 Biometrics, Epub ahead of print
Multiple RF classifier for the EADC-ADNI harmonized hippocampal protocol Inglese P, Amoroso N, Boccardi M, Bocchetta M, Bruno S, Chincarini A, Errico R, Frisoni GB, Maglietta R, Redolfi A, Sensi F, Tangaro S, Tateo A, Bellotti R 2015 Phys Med, 31(8):1085-1091
Network diffusion model of progression predicts longitudinal patterns of atrophy and metabolism in Alzheimer's Disease Raj A, LoCastro E, Kuceyeski A, Tosun D, Relkin N, Weiner M; for the Alzheimer's DiseaseNeuroimaging Initiative (ADNI) 2015 Cell Rep. 2015 Jan 14
New scoring methodology improves the sensitivity of the Alzheimer's disease assessment scale-cognitive subscale (ADAS-Cog) in clinical trials Verma N, Beretvas SN, Pascual B, Masdeu JC, Markey MK 2015 Alzheimers Res Ther, 7(1):64 PMCID: 4642693
Nonlinear association between cerebrospinal fluid and florbetapir F-18 AB measures across the spectrum of Alheimer disease Toledo JB, Bjerke M, Da X, Landau SM, Foster NL, Jagust W, Jack C Jr, Weiner M, Davatzikos C, Shaw LM, Trojanowski JQ; Alzheimer?s Disease Neuroimaging Initiative Investigators 2015 JAMA Neurol, 72:571-581
Nonparametric discrete survival function estimation with uncertain endpoints using an internal validation subsample Zee J, Xie SX 2015 Biometrics, 71(3):772-781 PMCID: 4575242
Operationalizing protocol differences for EADC-ADNI manual hippocampal segmentation
Boccardi M, Bocchetta M, Ganzola R, Robitaille N, Redolfi A, Duchesne S, Jack CR Jr, Frisoni GB, EADC-ADNI Working Group on the Harmonized Protocol for Hippocampal Volumetry and for the Alzheimer's Disease Neuroimaging Initiative
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Boccardi M, Bocchetta M, Ganzola R, Robitaille N, Redolfi A, Duchesne S, Jack CR Jr, Frisoni GB, EADC-ADNI Working Group on the Harmonized Protocol for Hippocampal Volumetry and for the...
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2015 Alzheimer's & Dementia, 11(2):184-194
Optimal target region for subject classification based on amyloid PET images Carbonell F, Zjdenbos AP, Charil A, Grand'Maison M, Bedell BJ, Alzheimer's Disease Neuroimaging Initiative 2015 J Nucl Med, 56: 1351-1358
Optimization of statistial single subject analysis of brain FDG PET for prognosis of MCI-to-AD conversion Lange C, Suppa P, Frings L, Brenner W, Spies L, Buchert R 2015 J Alzheimers Dis, 49(4):945-959
Optimizing regions-of-interest composites for capturing treatment effects on brain amyloid in clinical trials Tryputsen V, DiBernardo A, Samtani M, Novak GP, Narayan VA, Raghavan N; Alzheimer's Disease Neuroimaging Initiative 2015 J Alzheimers Dis. 2015;43(3):809-21
Plasma BDNF levels associate with Pittsburgh compound B binding in the brain Hwang KS, Lazaris AS, Eastman JA, Teng E, Thompson PM, Gylys KH, Cole GM, Apostolova LG; Alzheimer's Disease Neuroimaging Initiative 2015 Alzheimers Dement, 1;187-193 PMCID: 4507280
Plasma leptin levels are not predictive of dementia in patients with mild cognitive impairment Oania R, McEvoy LK 2015 Age Ageing, 44(1):53-58 PMCID: 4255616
Practical cut-offs for visual rating scales of medial temporal, frontal, and posterior atrophy in Alzheimer's disease and Mild Cognitive Impairment
Ferreira D, Cavallin L, Larsson EM, Muehlboeck JS, Mecocci P, Vellas B, Tsolaki M, K?oszewska I, Soininen H, Lovestone S, Simmons A, Wahlund LO, Westman E; AddNeuroMed consortium and the Alzheimer's Disease Neuroimaging Initiative
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Ferreira D, Cavallin L, Larsson EM, Muehlboeck JS, Mecocci P, Vellas B, Tsolaki M, K?oszewska I, Soininen H, Lovestone S, Simmons A, Wahlund LO, Westman E; AddNeuroMed consortium and th...
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2015 J Intern Med, 278: 277-290
Predicting Alzheimer's disease development: A comparison of cognitive criteria and associated neuroimaging biomarkers Callahan BL, Ramirez J, Berezuk C, Duchesne S, Black SE; Alzheimer's Disease Neuroimaging Initiative 2015 Alzheimers Res Ther, 7(1):68 PMCID: 4634913
Predicting Alzheimer's disease using combined imaging-whole genome SNP data Kong D, Giovanello KS, Wang Y, Lin W, Lee E, Fan Y, Murali Doraiswamy P, Zhu H 2015 J Alzheimers Dis, 46(3):695-702 PMCID: 4583331
Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages Cabral C, Morgado PM, Campos Costa D, Silveira M; Alzheimer?s Disease Neuroimaging Initiative 2015 Comput Biol Med, 58:101-109
Prediction of AD pathophysiology based on cortical thickness patterns Hwang J, Kim CM, Jeon S, Lee JM, Hong YJ, Roh JH, Lee JH, Koh JY, Na DL; Alzheimer's Disease Neuroimaging Initiative 2015 Alzheimers Dement (Amst) 2:58-67 PMCID: 4879518
Protective variant for hippocampal atrophy identified by whole exome sequencing
Nho K, Kim S, Risacher SL, Shen L, Corneveaux JJ, Swaminathan S, Lin H, Ramanan VK, Liu Y, Foroud TM, Inlow MH, Siniard AL, Reiman RA, Aisen PS, Petersen RC, Green RC, Jack CR Jr, Weiner MW,Baldwin CT, Lunetta KL, Farrer LA; MIRAGE (Multi-Institutional Research on Alzheimer Genetic Epidemiology) Study, Furney SJ, Lovestone S, Simmons A, Mecocci P, Vellas B, Tsolaki M, Kloszewska I,Soininen H; AddNeuroMed Consortium, McDonald BC, Farlow MR, Ghetti B; Indiana Memory and Aging Study, Huentelman MJ, Saykin AJ; Alzheimer's Disease Neuroimaging Initiative
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Nho K, Kim S, Risacher SL, Shen L, Corneveaux JJ, Swaminathan S, Lin H, Ramanan VK, Liu Y, Foroud TM, Inlow MH, Siniard AL, Reiman RA, Aisen PS, Petersen RC, Green RC, Jack CR Jr, Weine...
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2015 Ann Neurol. 2015 Mar;77(3):547-52 PMCID: 4387567
Quantification of florbetapir F18 PET: Comparison of two analysis methods Hutton C, Declerck J, Mintun MA, Pontecorvo MJ, Devous MD Sr, Joshi AD; Alzheimer?s Disease Neuroimaging Initiative 2015 Eur J Nucl Med Mol Imaging, 42:725-732
Quantitative assessment of corpus callosum morphology in periventricular nodular heterotopia Pardoe HR, Mandelstam SA, Hiess RK, Kuzniecky RI, Jackson GD; Alzheimer's Disease Neuroimaging Initiative; Epilepsy Phenome/Genome Project Investigators 2015 Epilepsy Res. 2015 Jan;109:40-7 PMCID: 4272571
Redox-reactive antiphospholipid autoantibodies: Early Alzheimer's disease blood biomarkers McIntyre JA, Ramsey CJ, Gitter BD, Saykin AJ, Wagenknecht DR, Hyslop PA; Alzheimer's Disease Neuroimaging Initiative 2015 published online PMCID: 4490126
Regional brain metabolism is unrelated to regional amyloid plaque burden Altmann A, Ng B, Landau SM, Jagust WJ, Greicius MD; Alzheimer's Disease Neuroimaging Initiative 2015 Brain, 138(Pt 12):3734-3746 PMCID: 4806718
Regional flux analysis for discovering and quantifying anatomical changes: an application to the brain morphometry in Alzheimer's Disease Lorenzi M, Ayache N, Pennec X; Alzheimer's Disease Neuroimaging Initiative (ADNI) 2015 Neuroimage, 115:224-234
Relevant feature set estimation with knock-out strategy and random forests Ganz M, Greve DN, Fischi B, Konukoglu E, Alzheimer's Disease Neuroimaging Initiative 2015 Neuroimage. 122: 131-148
Role of ABCA7 loss-of-function variant in Alzheimer's disease- a replicaiton study of European Americans Del-Aguila JL, Fernández MV, Jimenez J, Black K, Ma S, Deming Y, Carrell D, Saef B; Alzheimer's Disease Neuroimaging Initiative, Howells B, Budde J, Cruchaga C 2015 Alzheimers Res Ther, 7(1):73 PMCID: 4675010
Self-rated and informant-rated everyday function in comparison to objective markers of Alzheimer's disease Rueda AD, Lau KM, Saito N, Harvey D, Risacher SL, Aisen PS, Petersen RC, Saykin AJ,Tomaszewski Farias S; Alzheimer's Disease Neuroimaging Initiative 2015 Alzheimers Dement, 11(9):1080-1089 PMCID: 4433437
Simultaneous changes in gray matter volume and white matter fractional anisotropy in Alzheimer's disease revealed by multimodal CCA and joint ICA Ouyang X, Chen K, Yao L, Hu B, Wu X, Ye Q, Guo X; Alzheimer's Disease Neuroimaging Initiative 2015 Neuroscience, 301:553-562 PMCID: 4522191
Soluble BACE-1 activity and sAPPB concentrations in AD and age-matched healthy control CSF from the Alzheimer's Disease Neuroimaging Initiative-1 baseline cohort Savage MJ, Holder DJ, Wu G, Kaplow J, Siuciak JA, Potte WZ 2015 46(2):431-440
Standardized evaluation of methods for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
Bron EE, Smits M, van der Flier WM, Vrenken H, Barkhof F, Scheltens P, Papma JM, Steketee RM, Méndez Orellana C, Meijboom R, Pinto M, Meireles JR, Garrett C, Bastos-Leite AJ, Abdulkadir A, Ronneberger O, Amoroso N, Bellotti R, Cárdenas-Peña D, Álvarez-Meza AM, Dolph CV, Iftekharuddin KM, Eskildsen SF, Coupé P, Fonov VS, Franke K, Gaser C19, Ledig C, Guerrero R, Tong T, Gray KR, Moradi E, Tohka J, Routier A, Durrleman S, Sarica A, Di Fatta G, Sensi F, Chincarini A, Smith GM, Stoyanov ZV, Sørensen L, Nielsen M, Tangaro S, Inglese P, Wachinger C, Reuter M, van Swieten JC, Niessen WJ, Klein S; Alzheimer's Disease Neuroimaging Initiative
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Bron EE, Smits M, van der Flier WM, Vrenken H, Barkhof F, Scheltens P, Papma JM, Steketee RM, Méndez Orellana C, Meijboom R, Pinto M, Meireles JR, Garrett C, Bastos-Leite AJ, Abdulkadi...
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2015 Neuroimage, 111:562-579
Stroke Risk Interacts with Alzheimer's Disease Biomarkers on Brain Aging Outcomes Hohman TJ, Samuels LR, Liu D, Gifford KA, Mukherjee S, Benson EM, Abel T, Ruberg FL, Jefferson AL, Alzheimer's Disease Neuroimaging Initiative 2015 Neurobiol Aging, 36:2501-2508 PMCID: 4523400
Structural brain network and rich club disruptions in mild cognitive impairment and Alzheimer's disease Daianu M, Jahanshad N, Nir TM, Jack CR Jr, Weiner MW, Bernstein MA, Thompson PM; Alzheimer's Disease Neuroimaging Initiative 2015 Hum Brain Mapp, 36(8):3087-3103 PMCID: 4504816
Study of amyloid-B peptide functional brain networks in AD, MCI and HC Jiang J, Duan H, Huang Z, Yu Z; Alzheimer's Disease Neuroimaging Initiative 2015 Biomed Mater Eng, 26 Suppl 1:S2197-205
Subjective cognitive decline in older adults: An overview of self-report measures used across 19 international research studies
Rabin LA, Smart CM, Crane PK, Amariglio RE, Berman LM, Boada M, Buckley RF, Chételat G, Dubois B, Ellis KA, Gifford KA, Jefferson AL, Jessen F, Katz MJ, Lipton RB, Luck T, Maruff P, Mielke MM, Molinuevo JL, Naeem F, Perrotin A, Petersen RC, Rami L, Reisberg B, Rentz DM, Riedel-Heller SG, Risacher SL, Rodriguez O, Sachdev PS, Saykin AJ, Slavin MJ, Snitz BE, Sperling RA, Tandetnik C, van der Flier WM, Wagner M, Wolfsgruber S, Sikkes SA
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Rabin LA, Smart CM, Crane PK, Amariglio RE, Berman LM, Boada M, Buckley RF, Chételat G, Dubois B, Ellis KA, Gifford KA, Jefferson AL, Jessen F, Katz MJ, Lipton RB, Luck T, Maruff P, Mi...
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2015 J Alzheimers Dis, 48 Suppl 1:S63-86 PMCID: 4617342
Subjective memory compaint relates to verbal epidsodic memory performance but not neuroimaging markers of atrophy in mild cognitive impairment Gifford KA, Liu D, Damon SM, Chapman Iv WG, Romano Iii RR, Samuels LR, Lu Z, Jefferson AL 2015 J Alzheimers Dis, 44:309-318 PMCID: 4351870
Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease Cong S, Rizkalla M, Salama P, West J, Risacher S, Saykin A, Shen L 2015 Conf Proc (Midwest Symp Circuits Syst.), 2015. PMCID: 4713037
Temporal evolution of biomarkers and cognitive markers in the asymptomatic MCI and dementia stage of Alzheimer's disease Bertens D, Knol DL, Scheltens P, Visser PJ; Alzheimer's Disease Neuroimaging Initiative 2015 Alzheimers & Dementia, 11(5):511-522 PMCID: 4336230
The ADNI 2 Biomarker Core: A review of progress and plans
Kang JH, Korecka M, Figurski MJ, Toledo JB, Blennow K, Zetterberg H, Waligorska T, Brylska M, Fields L, Shah N, Soares H, Dean RA, Vanderstichele H, Petersen RC, Aisen PS, Saykin AJ, Weiner MW, Trojanowski JQ, Shaw LM; Alzheimer's Disease Neuroimaging Initiative
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Kang JH, Korecka M, Figurski MJ, Toledo JB, Blennow K, Zetterberg H, Waligorska T, Brylska M, Fields L, Shah N, Soares H, Dean RA, Vanderstichele H, Petersen RC, Aisen PS, Saykin AJ, We...
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2015 Alzheimer's & Dementia, 11: 772-791
The Alzheimer?s Disease Neuroimaging Initiative Phase 2: Increasing the Length, Breadth, and Depth of our Understanding Beckett LA, Donohue MC, Wang C, Aisen P, Harvey DJ, Saito N, Alzheimer's Disease Neuroimaging Initiative 2015 Alzheimer's & Dementia, 11:823-831 PMCID: 4510463
The course of preclinical Alzheimer's disease: Cognitive/clinical progression and implications for treatment Nation DA, Ho J, Yew B; Alzheimer's Disease Neuroimaging Initiative 2015 J Alzheimers Dis, 50(3):779-789
The EADC-ADNI harmonized protocol for hippocampal segmentation on magnetic resonance: Evidence of validity
Frisoni GB, Jack CR, Bocchetta M, Bauer C, Frederiksen KS, Liu Y, Preboske G, Swihart T, Blair M, Cavedo E, Grothe MJ, Lanfredi M, Martinez O, Nishikawa M, Portegies M, Stoub T, Ward C, Apostolova LG, Ganzola R, Wolf D, Barkhof F, Bartzokis G, DeCarli C, Csernansky JG, deToledo-Morrell L, Geerlings MI, Kaye J, Killiany RJ, Lehéricy S, Matsuda H, O'Brien J, Silbert LC, Scheltens P, Soininen H, Teipel S, Waldemar G, Fellgiebel A, Barnes J, Firbank M, Gerritsen L, Henneman W, Malykhin N, Pruessner JC, Wang L, Watson C, Wolf H, deLeon M, Pantel J, Ferrari C, Bosco P, Pasqualetti P, Duchesne S, Duvernoy H, Boccardi M; EADC -European Alzheimer's Disease Consortium and the ADNI - Alzheimer's Disease Neuroimaging Initiative
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Frisoni GB, Jack CR, Bocchetta M, Bauer C, Frederiksen KS, Liu Y, Preboske G, Swihart T, Blair M, Cavedo E, Grothe MJ, Lanfredi M, Martinez O, Nishikawa M, Portegies M, Stoub T, Ward C,...
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2015 Alzheimer's & Dementia, 111(2):111-125 PMCID: 4422168
The future is now: Model-based clinical trial design for Alzheimer's disease
Romero K, Ito K, Rogers JA, Polhamus D, Qiu R, Stephenson D, Mohs R, Lalonde R, Sinha V, Wang Y, Brown D, Isaac M, Vamvakas S, Hemmings R, Pani L, Bain LJ, Corrigan B; Alzheimer's Disease Neuroimaging Initiative; Coalition Against Major Diseases
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Romero K, Ito K, Rogers JA, Polhamus D, Qiu R, Stephenson D, Mohs R, Lalonde R, Sinha V, Wang Y, Brown D, Isaac M, Vamvakas S, Hemmings R, Pani L, Bain LJ, Corrigan B; Alzheimer's Disea...
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2015 Clin Pharmacol Ther, 97(3):210-214
The influence of genetic variants in SORL1 gene on the manifestation of Alzheimer's disease
Louwersheimer E, Ramirez A, Cruchaga C, Becker T, Kornhuber J, Peters O, Heilmann S, Wiltfang J, Jessen F, Visser PJ, Scheltens P, Pijnenburg YA, Teunissen CE, Barkhof F, van Swieten JC, Holstege H, Van der Flier WM; Alzheimer's Disease Neuroimaging Initiative and Dementia Competence Network
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Louwersheimer E, Ramirez A, Cruchaga C, Becker T, Kornhuber J, Peters O, Heilmann S, Wiltfang J, Jessen F, Visser PJ, Scheltens P, Pijnenburg YA, Teunissen CE, Barkhof F, van Swieten JC...
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2015 Neurobiol Aging 36:1605e13-20
The mediational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function Dowling NM, Johnson SC, Gleason CE, Jagust WJ; Alzheimer's Disease Neuroimaging Initiative 2015 Neuroimage. 2015 Jan 15;105:357-68 PMCID: 4262609
The relative importance of imaging markers for the prediction of Alzheimer?s disease dementia in mild cognitive impairment ? beyond classical regression Teipel SJ, Kurth J, Krause B, Grothe MJ; Alzheimer's Disease Neuroimaging Initiative 2015 Neuroimage Clin, 8:583-593 PMCID: 4506984
The roots of Alzheimer's disease: Are high-expanding cortical areas preferentially targed? Fjell AM, Amlien IK, Sneve MH, Grydeland H, Tamnes CK, Chaplin TA, Rosa MG, Walhovd KB 2015 Cereb Cortex, 25(9):2556-2565
Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol
Boccardi M1, Bocchetta M2, Morency FC3, Collins DL4, Nishikawa M5, Ganzola R6, Grothe MJ7, Wolf D8, Redolfi A9, Pievani M9, Antelmi L10, Fellgiebel A8, Matsuda H11, Teipel S12, Duchesne S6, Jack CR Jr13, Frisoni GB14; EADC-ADNI Working Group on The Harmonized Protocol for Manual Hippocampal Segmentation and for the Alzheimer's Disease Neuroimaging Initiative
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Boccardi M1, Bocchetta M2, Morency FC3, Collins DL4, Nishikawa M5, Ganzola R6, Grothe MJ7, Wolf D8, Redolfi A9, Pievani M9, Antelmi L10, Fellgiebel A8, Matsuda H11, Teipel S12, Duchesne...
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2015 Alzheimers Dement, 11(2):175-183
Two-dimensional enrichment analysis for mining high-level imaging genetic associations Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L 2015 Brain Inform Health, 9250:115-124 PMCID: 4640356
Type 2 diabetes mellitus and biomarkers of neurodegeneration Moran C, Beare R, Phan TG, Bruce DG, Callisaya ML, Srikanth V 2015 Neurology, Epub ahead of print
Variations in the FRA10AC1 Fragile Site and 15q21 are Associated with Cerebrospinal Fluid Ab1-42 Level Li QS, Parrado AR, Samtani MN, Narayan VA 2015 PLoS One, 10:e0134000 PMCID: 4529186
Vascular risk factors are associated with cognitive decline in the Alzheimer's disease spectrum Lorius N, Locascio JJ, Rentz DM, Johnson KA, Sperling RA, Viswanathan A, Marshall GA 2015 Alzheimer Dis Assoc Disord, 29(1):18-25 PMCID: 4366000
Verbal learning slope is associated with parahippocampal gyrus cortical thickness in mild cognitive impairment Gifford KA, Phillips JS, Samuels LR, Lane EM, Bell SP, Liu D, Hohman TJ, Romano RR 3rd, Fritzsche LR, Lu Z, Jefferson AL; Alzheimer's Disease Neuroimaging Initiative 2015 J Int Neuropsychol Soc, 21(6):455-467 PMCID: 4657447
Visual rating and volumetric measurement of medial temporal atrophy in the Alzheimer's Disease Neuroimaging Intiative (ADNI) cohort: Baseline diagnosis and the prediction of MCI outcome Varon D, Barker W, Loewenstein D, Greig M, Bohorquez A, Santos I, Shen Q, Harper M, Vallejo-Luces T, Duara R 2015 Int J Geriatr Psychiatry 30(2):192-200
White matter lesion load is associated with resting state fMRI activity and amyloid load in mild cognitive impairment and early Alzheimer's disease patients Zhou Y, Yu F, Duong TQ 2015 J Magn Reson Imaging, epub PMCID: 4097981
White matter lesion progression differentiates MCI that convert to Alzheimer's Disease from non-converters Lindemer ER, Salat DH, Smith EE, Nguyen K, Fischl B, Greve DN 2015 Neurobiol Aging, 36:2447-2457 PMCID: 4523418
A blood based predictor for neocortical amyloid burden in Alzheimer's disease: Results from the AIBL Study
Burnham SC, Faux NG, Wilson W, Laws SM, Ames D, Bedo J, Bush AI, Doecke JD, Ellis KA, Head R, Jones G, Kiiveri H, Martins RN, Rembach A, Rowe CC,Salvado O, Macaulay SL, Masters CL, Villemagne VL; Alzheimer’s Disease Neuroimaging Initiative; Australian Imaging, Biomarkers and Lifestyle StudyResearch Group
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Burnham SC, Faux NG, Wilson W, Laws SM, Ames D, Bedo J, Bush AI, Doecke JD, Ellis KA, Head R, Jones G, Kiiveri H, Martins RN, Rembach A, Rowe CC,Salvado O, Macaulay SL, ...
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2014 Molecular Psychiatry, 19:519-526, 2014 PMID: 23628985
A commonly carried genetic variant in the delta opioid receptor gene, OPRD1, is associated with smaller regional brain volumes: Replication in elderly and young populations.
Roussotte FF, Jahanshad N, Hibar DP, Sowell ER, Kohannim O, Barysheva M, Hansell NK, McMahon KL, de Zubicaray GI, Montgomery GW, Martin NG, Wright MJ, Toga AW, Jack CR Jr, Weiner MW, Thompson PM; and the ADNI
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Roussotte FF, Jahanshad N, Hibar DP, Sowell ER, Kohannim O, Barysheva M, Hansell NK, McMahon KL, de Zubicaray GI, Montgomery GW, Martin NG, Wright MJ, Toga AW, Jack CR Jr, Weiner MW, Th...
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2014 Hum Brain Mapp, 35:1226-1236, 2014 PMID: 23427138
PMCID: PMC4046708
A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI Iglesias JE, Augustinack JC, Nguyen K, et al. 2014 Neuroimage 2015;115:117?37 PMCID: PMC4461537
A data driven model of biomarker changes in sporadic Alzheimer's disease
Young AL, Oxtoby NP, Daga P, Cash DM, Fox NC, Ourselin S, Schott JM, Alexander DC; Alzheimer?s Disease Neuroimaging Initiative. A data-driven model of biomarker changes in sporadic Alzheimer's disease. Young AL, Oxtoby NP, Daga P, Cash DM, Fox NC, Ourselin S, Schott JM, Alexander DC; on behalf of the Alzheimer's Disease Neuroimaging Initiative.
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Young AL, Oxtoby NP, Daga P, Cash DM, Fox NC, Ourselin S, Schott JM, Alexander DC; Alzheimer?s Disease Neuroimaging Initiative. A data-driven model of biomarker changes in sporadic Alzh...
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2014 Brain, 137:2564-2577 PMCID: PMC4132648
A genome-wide association meta-analysis of plasma AB peptides concentrations in the elderly.
Chouraki V, De Brujin RF, Cahpuis J, Bis JC, Reitz C, Schraen S, Ibrahim-Verbaas CA, Grenier-Boley B, Delay C, Rogers R, Demiautte F, Mounier A, Fitzpatrick AL, the Alzheimer's Disease Neuroimaging Initiative, Berr C, Dartigues JF, Uitterlinden AG, Hofman A, Breteler M, Becker JT, Schupf N, Alperovitch A, Mayeux R, van Duijn CM, Buee L, Amouyel P, Lopez OL, Ikram MA, Tzourio C, Labmert JC
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Chouraki V, De Brujin RF, Cahpuis J, Bis JC, Reitz C, Schraen S, Ibrahim-Verbaas CA, Grenier-Boley B, Delay C, Rogers R, Demiautte F, Mounier A, Fitzpatrick AL, the Alzheimer's Disease ...
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2014 Mol Psychiatry, epub ahead of print PMID: 24535457
A point-based tool to predict conversion from MCI to probably Alzheimer's disease BarnesDE, Cenzer IS, Ritchie CS, Lee SJ, and ADNI 2014 Alzheimers Dement. PMID: 24495339
A reevaluation of Alzheimer's disease biomarkers accepting the lack of a gold standard Coart E, Barrado LG, Duits FH, et al. 2014 J Alzheimers Dis [Internet] 2015 [cited 2015 Sep 15] PMCID: 25869788
A versatile omnibus test for detecting mean and variance heterogeneity Cao Y, Wei P, Bailey M, Kauwe JS, Maxwell TJ, Alzheimer's Disease Neuroimaging Initiative 2014 Genet Epidemiol, 38:51-59, 2014. PMID: 24482837
PMCID: PMC4019404
Abnormal resting-state functional connectivity of fusiform gyrus in mild cognitive impairment and Alzheimer's disease: A fMRI study from ADNI Cai S, Huang L, Zou J, et al. 2014 PLoS One [Internet] 2015 [cited 2015 Sep 15];10(2):e0115573 PMCID: PMC4332494
Accuracy of imputation to infer unobserved APOE epsilon alleles in genome-wide genotyping data Radmanesh F, Devan WJ, Anderson CD, Rosand J, Falcone GJ 2014 Eur J Hum Genet,22:1239-1242 PMCID: PMC4169533
Altered regional brain volumes in elderly carriers of a risk variant for drug abuse in the dopamine D2 receptor gene (DRD2) Roussotte FF, Jahanshad N, Hibar DP, Thompson PM, for the Alzheimer's Disease Nueroimaging Initiative 2014 Brain Imaging Behav, epub ahead of print, 2014 PMID: 24634060
Alzheimer's disease biomarkers as outcome measures for clinical trials in MCI Caroli A1, Prestia A, Wade S, Chen K, Ayutyanont N, Landau SM, Madison CM, Haense C, Herholz K, Reiman EM, Jagust WJ, Frisoni GB 2014 Alzheimer Dis Assoc Disord. epub ahead of print
Amyloid PET comparison across three radiotracers Landau SM, Thomas BA, Thurfjell L, Schmidt M, Margolin R, Mintun M, Pontecorvo M, Baker SL, Jagust WJ, the Alzheimer's Disease Neuroimaging Initiative 2014 Nucl Med Mol Imaging, epub ahead of print PMID: 24647577
An efficient approach for differentiating Alzheimer's disease from normal elderly based on multicenter MRI using gray-level invariant features Li M, Oishi K, He X, Qin Y, Gao F, Mori S 2014 PLoS One [Internet] 2014 [cited 2015 Sep 15];9(8):e105563 PMCID: PMC4139346
Analysis of spatio-temporal brain imaging patterns by hidden markov models and serial MRI images
Wang Y, Resnick SM, Davatzikos C, the Baltimore Longitudinal Study of Aging and the Alzheimer's Disease Neuroimaging Initiative: Analysis of spatio-temporal brain imaging patterns by hidden markov models and serial MRI images.
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2014 Human Brain Mapping, epub ahead of print PMID: 24706564
APOE and BCHE as modulators of cerebral amyloid deposition: A florbetapir PET genome-wide association study Ramanan VK, Risacher SL, Nho K, Kim S, Swaminathan S, Shen L, Foroud TM, Hakonarson H, Huentelman MJ, Aisen PS, Petersen RC, Green RC, Jack CR, Koeppe RA, Jagust WJ, Weiner MW, Saykin A 2014 Mol Psychiatry, 19:351-357 PMCID: 3661739
APOE genotype and the diagnostic accuracy of CSF biomarkers for Alzheimer disease
Lautner R, Palmqvist S, Mattsson N, Andreasson U, Wallin A, Pålsson E, Jakobsson J, Herukka SK, Owenius R, Olsson B, Hampel H, Rujescu D, Ewers M, Landén M, Minthon L, Blennow K, Zetterberg H, Hansson O; Alzheimer?s Disease Neuroimaging Initiative
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Lautner R, Palmqvist S, Mattsson N, Andreasson U, Wallin A, Pålsson E, Jakobsson J, Herukka SK, Owenius R, Olsson B, Hampel H, Rujescu D, Ewers M, Landén M, Minthon L, Blennow K, Zett...
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2014 JAMA Psychiatry, 71:1183-1191
APOE4 effects on automated diagnostic classifiers for mild cognitive impairment and Alzheimer's disease Apostolova LG, Hwang KS, Kohannim O, Avila D, Elashoff D, Jack CR Jr, Shaw L, Trojanowski JQ, Weiner MW, Thompson PM, Alzheimer's Disease Neuroimaging Initiative 2014 Neuroimage Clin, 4:461-472, 2014 PMID: 24634832
Automated algorithm to measure changes in medial temporal lobe volume in Alzheimer disease Kazemifar S, Drozd JJ, Rajakumar N, Borrie MJ, Bartha R, Alzheimer's Disease Neuroimaging Initiative 2014 J Neurosci Methods, 227:35-46, 2014 PMID: 24518149
Automated voxel-by-voxel tissue classification for hippocampal segmentation: Methods and validation Tangaro S, Amoroso N, Boccardi M, Bruno S, Chincarini A, Ferraro G, Frisoni GB, Maglietta R, Redolfi A, Rei L, Tateo A, Bellotti R; for the Alzheimers Disease Neuroimaging Initiative 2014 Phys Med, epub ahead of print
Automatic ROI selection in structural brain MRI using SOM 3D projection Ortiz A, Gorriz JM, Ramirez J, Martinez-Murcia FJ, Alzheimer's Disease Neuroimaging Initiative 2014 PLoS One, 9:e93851 PMCID: 3984096
B-amyloid is associated with aberrant metabolic connectivity in subjects with mild cognitive impairment. Carbonell F, Charil A, Zijdenbos AP, Evans AC, Bedell BJ 2014 J Cereb Blood Flow Metab, epub ahead of print PMID: 24736891
Basal forebrain atrophy correlates with amyloid B burden in Alzheimer's disease Kerbler GM, Fripp J, Rowe CC, Villemagne VL, Salvado O, Rose S, Coulson EJ; Alzheimer's Disease Neuroimaging Initiative 2014 Neuroimage Clin, 7:105-113 PMCID: PMC4299972
Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers Zhu H, Khondker Z, Lu Z, Ibrahim JG; Alzheimer's Disease Neuroimaging Initiative 2014 J Am Stat Assoc. 2014;109(507):997-990 PMCID: PMC4208701
Biological heterogeneity in ADNI amnestic MCI Nettiksimmons J, Decarli C, Landau S, Beckett L, Alzheimer's Disease Neuroimaging Initiative: Biological heterogeneity in ADNI amnestic mild cognitive impairment 2014 Alzheimers Dement, epub ahead of print PMID: 2441806
Biomarker progressions predict stage-specific cognitive decline in Alzheimer disease Dodge HH, Zhu J, Harvey D, Saito N, Silbert LC, Kaye JA, Koeppe RA, Albin RL; Alzheimer's Disease Neuroimaging Initiative 2014 Alzheimers Dement, 10:690-703 PMCID: PMC4253728
Brain atrophy rates in first degree relatives at risk for Alzheimer's Lampert EJ, Roy Choudhury K, Hostage CA, Rathakrishnan B, Weiner M, Petrella JR, Doraiswamy PM; Alzheimer's Disease Neuroimaging Initiative 2014 Neuroimage Clin. 2014 Sep 4;6:340-6 PMCID: PMC4215425
Brain changes in Alzheimer patients with implanted encapsulated cells releasing Nerve Growth Factor Ferreira D, Westman E, Eyjolfsdottir H, Almqvist P, Lind G, Linderoth B, Seiger A, Blennow K, Karami A, Darreh-Shori T, Wiberg M, Simmons A,Wahlund LO, Wahlberg L, Eriksdotter M 2014 J Alzheimers Dis. 2015;43(3):1059-72. doi: 10.3233/JAD-141068
Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI Lillemark L, Sørensen L, Pai A, Dam EB, Nielsen M, Alzheimer's Disease Neuroimaging Initiative 2014 BMC Med Imaging, 14(1) PMCID: PMC4048460
Callibrating longitudinal cognitive performance in Alzheimer's disease across diverse neuropsychological batteries and datasets
Gross AL, Sherva R, Mukherjee S, Newhouse S, Kauwe JS, Munsie LM, Waterston LB, Bennett DA, Jones RN, Green RC, Crane PK; Alzheimer's DiseaseNeuroimaging Initiative; GENAROAD Consortium; AD Genetics Consortium
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Gross AL, Sherva R, Mukherjee S, Newhouse S, Kauwe JS, Munsie LM, Waterston LB, Bennett DA, Jones RN, Green RC, Crane PK; Alzheimer's DiseaseNeuroimaging Initiative; GENAROAD Consortium...
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2014 Neuroepidemiology. 2014;43(3-4):194-205. Epub 2014 Nov 13 PMCID: PMC4297570
DOI: 10.1159/000367970
Cerebrospinal fluid BACE1 activity and markers of amyloid precursor protein metabolism and axonal degeneration in Alzheimer's disease Perneczky R, Alexopoulos P; for the; Alzheimer's Disease euroimaging Initiative 2014 Alzheimer's & dementia, 10 (5 Suppl):S425-S429 PMCID: PMC4038661
Cerebrospinal fluid markers including trefoil factor 3 are associated with neurodegeneration in amyloid-positive individuals Paterson RW, Bartlett JW, Blennow K, Fox NC; Alzheimer's Disease Neuroimaging Initiative, Shaw LM, Trojanowski JQ, Zetterberg H, Schott JM 2014 Transl Psychiatry, 4:e419 PMCID: PMC4119225
Classification of Alzheimer's disease subjects with MRI scans through hippocampal visual features Olfa Ben Ahmed, Jenny Benois-Pineau, Michèle Allard, Chokri Ben Amar, Gwénaëlle Catheline, for the Alzheimer?s Disease Neuroimaging Initiative 2014 Multimedia Tools and Applications, February 2015, Volume 74, Issue 4, pp 1249-1266
Comparison of 6 tractography methods for detecting structural brain network abnormalities in Alzheimer's disease Sun Q, Zhu H, Liu Y, Ibrahim JG. SPReM 2014 J Am Stat Assoc [Internet] 2015 [cited 2015 Sep 15];110(509):289?302 PMCID: PMC4396191
Comparison of classification methods for diagnosis of early-stage presenile dementia on the basis of arterials spin labeling and structural MRI. Bron EE, Steketee RM, Houston GC, Oliver RA, Achterberg HC, Loog M, van Swieten JC, Hammers A, Niessen WJ, Smits M, Klein S, for the Alzheimer's Disease Neuroimaging Initiative 2014 Hum Brain Mapp, epub ahead of print PMID: 24700485
Comparison of multi-sample variant calling methods for whole genome sequencing Nho K, West JD, Li H, et al. 2014 IEEE Int Conf Syst Biol [proceedings] IEEE Int Conf Syst Biol [Internet] 2014 [cited 2015 Sep 15];2014:59?62. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4496949&tool=pmcentrez&rendertype=abstract PMCID: PMC4496949
Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia. Trzepacz PT, Yu P, Sun J, Schuh K, Case M, Witte MM, Hochstetler H, Hake A, and the Alzheimer’s Disease Neuroimaging Initiative 2014 Neurobiology of aging, 35(1):143-51 PMID: 23954175
CSF B-amyloid and phospho-tau interactions on brain structure in preclinical AD
Fortea J, Vilaplana E, Alcolea D, Carmona-Iragui M, Sánchez-Saudinós MB, Sala I, Anton-Aguirre S, González S, Medrano S, Pegueroles J, Morenas E, Clarimón J, Blesa R, Lleó A, Alzheimer's Disease Neuroimaging Initiative
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Fortea J, Vilaplana E, Alcolea D, Carmona-Iragui M, Sánchez-Saudinós MB, Sala I, Anton-Aguirre S, González S, Medrano S, Pegueroles J, Morenas E, Clarimón J, Blesa R, Lleó A, Alzhe...
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2014 Ann Neurol 76:223-230
Data synthesis and method evaluation for brain imaging genetics Sheng J, Kim S, Yan J, Moore J, Saykin A, Shen L 2014 Proc IEEE Conf, epub ahead of print PMCID: PMC4232947
Depression accelerates cognitive decline in amyloid-positive MCI patients Brendel M, Pogarell O, Xiong G, Delker A, Bartenstein P, Rominger A 2014 Eur J Nucl Med Mol Imaging [Internet] 2015 [cited 2015 Jun 10];42(5):716?24 PMID: 25631614
Destruction of white matter integrity in patients with mild cognitive impairment and Alzheimer's disease Sun X, Salat D, Upchurch K, Deason R, Kowall N, Budson A; for the Alzheimer?s Disease Neuroimaging Initiative 2014 J Investigating Med, epub ahead of print
Diagnostic classification of arterial spin labeling and structural MRI in presenile early stage dementia. Bron EE, Steketee RM, Houston GC, Oliver RA, Achterberg HC, Loog M, van Swieten JC, Hammers A, Niessen WJ, Smits M, Klein S, for the Alzheimer's Disease Neuroimaging Initiative 2014 Hum Brain Mapp, 35:4916-4931
Disease progression model for clinical dementia rating sum of boxes in mild cognitive impairment and Alzheimer's subjects from Alzheimer's Disease Neuroimaging Initiative Samtani MN, Raghavan N, Novak G, Nandy P, Narayan VA 2014 Neuropsychiatr Dis Treat. 2014 May 24;10:929-52. PMCID: PMC4049432
Dual-retrieval processes in Alzheimer's dementia and mild cognitive impairment Brainerd CJ, Reyna VF, Gomes CF, Kenney AE, Gross CJ, Taub ES, Spreng RN; Alzheimer’s Disease Neuroimaging Initiative 2014 J Exp Psychol Learn Mem Cogn., 40:41-65, 2014 PMID: 23978235
Early detection of Alzheimer's disease from MRI hippocampal texture Sørensen L, Igel C, Hansen NL, et al. 2014 Alzheimer's Dement [Internet] 2014 [cited 2015 Sep 15];10(4):P39
Educational attainment and hippocampal atrophy in Alzheimer's disease neuroimaging initiative cohord. Shpanskaya KS, Choudhyry KR, Hostage C JR, Murphy KR, Petrella JR, Doraiswamy PM, for the Alzheimer's Disease Neuroimaging Initiative 2014 J Neuroradiol, epub ahead of print PMID: 24485897
Effects of changing from non-accelerated to accelerated MRI for follow-up in bain atrophy measurement Leung KK, Malone IM, Ourselin S, Gunter JL, Bernstein MA, Thompson PM, Jack CR Jr, Weiner MW, Fox NC; Alzheimer's Disease Neuroimaging Initiative 2014 Neuroimage. 2015 Feb 15;107:46-53. doi: 10.1016/j.neuroimage.2014.11.049. Epub 2014 Dec 4 PMCID: PMC4300278
DOI: 10.1016
Epidemic spreading behaviour of amyloid-B proteins as a key factor controlling Alzheimer's disease progression Whittington, A., Iturria-Medina, Y., Evans, A., Sharp, D., & Gunn, R. (2015) 2014 Journal of Nuclear Medicine, 56(supplement 3), 28-28
Establishing magnetic resonance images orientation for the EADC-ADNI manual hippocampal segmentation protocol
Boccardi M, Bocchetta M, Apostolova LG, Preboske G, Robitaille N, Pasqualetti P, Collins LD, Duchesne S, Jack CR Jr, Frisoni GB, EADC-ADNI, Working Group on the Harmonized Protocol for Hippocampal Volumentry, Alzheimer's Disease Neuroimaging Initiative
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Boccardi M, Bocchetta M, Apostolova LG, Preboske G, Robitaille N, Pasqualetti P, Collins LD, Duchesne S, Jack CR Jr, Frisoni GB, EADC-ADNI, Working Group on the Harmonized Protocol for ...
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2014 J Neuroimaging, 24:509-514
Estimating long-term multivariate progression from short-term data. Donohue MC, Jacqumin-Gadda H, Le Goff M, Thomas RG, Raman R, Gamst AC, Beckett LA, Jack CR Jr, Weiner MW, Dartigues JF, Aisen PS, Alzheimer's Disease Neuroimaging Initiative 2014 Alzheimer's Dement, epub ahead of print PMID: 24656849
Evaluation of common structural brain changes in aging and Alzheimer's disease using an MRI based brain atrophy and lesion index: A comparison between T1WI and T2WI at 1.5T and 3.0T Guo H, Song X, Vandorpe R, Zhang Y, Chen W, Zhang N, Schmidt MH, Rockwood K; for the Alzheimer’s Disease Neuroimaging Initiative 2014 AJNR Am J Neuroradiol., 35:504-512, 2014 PMID: 23988753
Evaluation of whole brain health in aging and Alzheimer's disease: a standard procedure for scoring an MRI-based brain atrophy and lesion index. Guo H, Song X, Schmidt MH, Vandorpe R, Yang Z, LeBlanc E, Zhang J, Beyea S, Zhang Y, Rockwood K. 2014 J Alzheimer's Dis, 42:691-703
Everyday cognition scale items that best discriminate between and predict progression from clinically normal to mild cognitive impairment Marshall GA, Zoller AS, Kelly KE, Amariglio RE, Locascio JJ, Johnson KA, Sperling RA, Rentz DM, For The Alzheimer's Disease Neuroimaging Initiative 2014 Curr Alzheimer Res. 2014;11(9):853-61 PMCID: PMC4247808
Fast and accurate modelling of longitudinal and repeated measures neuroimaging data Guillaume B, Hua X, Thompson PM, Waldorp L, Nichols TE, Alzheimer's Disease Neuroimaging Initiative 2014 Neuroimage, 94C: 287-302 PMID: 24650594
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease Shamonin jjDJP, Bron EE, Lelieveldt BP, Smits M, Klein S, Staring M, Alzheimer's Disease Neuroimaging Initiative 2014 Front Neuroimform, 7:50, 2014. PMID: 24474917
Feed-forward hierarchical model of the ventral visual stream applied to functional brain image classification Keator DB, Fallon JH, Lakatos A, Fowlkes CC, Potkin SG, Ihler A, for the Alzheimer's Disease Neuroimaging Initiative 2014 Human Brain Mapping, 35:35-52, 2014 PMID: 22847891
Fine mapping of GWAS-identified Alzheimer's disease loci identifies variants associated with cerebrospinal fluid amyloid-beta levels. Available from: http://openscholarship.wustl.edu/etd/1311 Jin SC 2014 All Theses Diss. 2014 [cited 2015 Sep 15]
Functional activities questionnaire items that best predict progression to MCI Marshall GA, Zoller AS, Lorius N, et al. 2014 Curr Alzheimer Res [Internet] 2015 [cited 2015 Sep 15];12(5):493?502 PMCID: PMC4448081
Functional mixed effects models for imaging genetic data Lin JA, Zhu H, Mihye A, Sun W, Ibrahim JG; Alzheimer's Neuroimaging Initiative 2014 Functional-mixed effects models for candidate genetic mapping in imaging genetic studies. Genet Epidemiol, 38:680-691 PMCID: PMC4236266
Gene-based GWAS and gene set enrichment based pathway analysis of the resilience of executive functioning Mukherjee S, Kim S, Ramanan VK, Gibbons LE, Nho K, Glymour MM, Ertekin-Taner N, Montine TJ, Saykin AJ, Crane PK; for the Alzheimer’s Disease Neuroimaging Initiative 2014 Brain imagine and behavior, 8:110-118, 2014 PMCID: 3944472
Gene-based rare allele analysis identified a risk gene of Alzheimer's disease Kim JH, Song P, Lim H, Lee JH, Lee JH, Park SA; Alzheimer?s Disease Neuroimaging Initiative 2014 PLoS One, 9:e107983 PMCID: PMC4203677
Gene-wide analysis detects two new susceptibility genes for Alzheimer's disease
Escott-Price V, Bellenguez C, Wang LS, Choi SH, Harold D, Jones L, Holmans P, Gerrish A, Vedernikov A, Richards A, DeStefano AL, Lambert JC, Ibrahim-Verbaas CA, Naj AC, Sims R, Jun G, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thornton-Wells TA, Denning N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Schmidt H, Kunkle B, Dunstan ML, Vronskaya M; United Kingdom Brain Expression Consortium, Johnson AD, Ruiz A, Bihoreau MT, Reitz C, Pasquier F, Hollingworth P, Hanon O, Fitzpatrick AL, Buxbaum JD, Campion D, Crane PK, Baldwin C, Becker T, Gudnason V, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Hern?ndez I, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fi?vet N, Huentelman MJ, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuinness B, Larson EB, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, George-Hyslop PS, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Boss? P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Garcia FS, Fox NC, Hardy J, Naranjo MC, Bosco P, Clarke R, Brayne C, Galimberti D, Scarpini E, Bonuccelli U, Mancuso M, Siciliano G, Moebus S, Mecocci P, Zompo MD, Maier W, Hampel H, Pilotto A, Frank-Garc?a A, Panza F, Solfrizzi V, Caffarra P, Nacmias B, Perry W, Mayhaus M, Lannfelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH Jr, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RF, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JS, Boerwinkle E, Riemenschneider M, Boada M, Hiltunen M, Martin ER, Schmidt R, Rujescu D, Dartigues JF, Mayeux R, Tzourio C, Hofman A, N?then MM, Graff C, Psaty BM, Haines JL, Lathrop M, Pericak-Vance MA, Launer LJ, Van Broeckhoven C, Farrer LA, van Duijn CM, Ramirez A, Seshadri S, Schellenberg GD, Amouyel P, Williams J
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Escott-Price V, Bellenguez C, Wang LS, Choi SH, Harold D, Jones L, Holmans P, Gerrish A, Vedernikov A, Richards A, DeStefano AL, Lambert JC, Ibrahim-Verbaas CA, Naj AC, Sims R, Jun G, B...
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2014 PLoS One, 6(9) PMCID: PMC4055488
Generalizability of the disease state index prediction model for identifying patients progressing from mild cognitive impairment to Alzheimer's disease
Hall A, Muñoz-Ruiz M, Mattila J, Koikkalainen J, Tsolaki M, Mecocci P, Kloszewska I, Vellas B, Lovestone S, Visser PJ, Lötjonen J, Soininen H;Alzheimer Disease Neuroimaging Initiative; AddNeuroMed consortium; DESCRIPA and Kuopio L-MCI
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Hall A, Muñoz-Ruiz M, Mattila J, Koikkalainen J, Tsolaki M, Mecocci P, Kloszewska I, Vellas B, Lovestone S, Visser PJ, Lötjonen J, Soininen H;Alzheimer Disease Neuroimaging Initiative...
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2014 J Alzheimers Dis. 2015;44(1):79-92. doi: 10.3233/JAD-140942 DOI: 10.3233
Genetic associations with amyloid processing and inflammatory proteins in the cerebrospinal fluid
Kauwe JS, Bailey MH, Ridge PG, Perry R, Wadsworth ME, Hoyt KL, Staley LA, Karch CM, Harari O, Cruchaga C, Ainscough BJ, Bales K, Pickering EH, Bertelsen S; Alzheimer's Disease Neuroimaging Initiative, Fagan AM, Holtzman DM, Morris JC, Goate AM
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Kauwe JS, Bailey MH, Ridge PG, Perry R, Wadsworth ME, Hoyt KL, Staley LA, Karch CM, Harari O, Cruchaga C, Ainscough BJ, Bales K, Pickering EH, Bertelsen S; Alzheimer's Disease Neuroimag...
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2014 PLoS Genet. 2014 Oct 23;10(10):e1004758. doi: 10.1371/journal.pgen.1004758 PMCID: PMC4207667
DOI: 10.1371
Genetic interactions found between calcium channel genes modulate amyloid load measured by positron emission tomography Koran ME, Hohman TJ, Thornton-Wells TA, for ADNI 2014 Human Genetics, 133:85-93 PMID: 24026422
Genetic modification of the relationship between phosphorylated tau and neurodegeneration Hohman TJ, Koran ME, Thornton-Wells TA, Alzheimer's Disease Neuroimaging Initiative 2014 Alzheimers Dement, 10:637-645 PMCID: PMC4169762
Genetic variation modifies risk for neurodegeneration in biomarker positive individuals Hohman TJ, Koran ME, Thornton-Wells TA; Alzheimer's Neuroimaging Initiative 2014 Front Aging Neurosci. 2014 Aug 4;6:183. doi: 10.3389/fnagi.2014.00183. eCollection PMCID: PMC4121544
DOI: 10.3389
Genetic variation of oxidative phosphorylation genes in stroke and Alzheimer's disease Biffi A, Sabuncu MR, Desikan RS, Schmansky N, Salat DH, Rosand J, Anderson CD, Alzheimer's Disease Neuroimaging Initiative 2014 Neurobiol Aging, epub ahead of print, 2014 PMID: 24650791
Genome Wide Association Study of rate of cognitive decline in Alzheimer's disease
Sherva R, Tripodis Y, Bennett DA, Chibnik LB, Crane PK, de Jager PL, Farrer LA, Saykin AJ, Shulman JM, Green RC; The GENAROADS Consortium, and The Alzheimer's Disease Neuroimaging Initiative
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Sherva R, Tripodis Y, Bennett DA, Chibnik LB, Crane PK, de Jager PL, Farrer LA, Saykin AJ, Shulman JM, Green RC; The GENAROADS Consortium, and The Alzheimer's Disease Neuroim...
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2014 Alzheimer's and Dementia, 10:45-52, 2014. PMCID: 3760995
Gray and white matter tissue contrast differentiates MCI converters from non-converters Jefferson AL, Gifford KA, Damon S, Chapman GW 4th, Liu D, Sparling J, Dobromyslin V, Salat D, for the Alzheimer's Disease Neuroimaging Initiative 2014 Brain Imaging Behav, epub ahead of print PMID: 24493370
Grey matter atrophy asymmetry in delusional mild cognitive impairment/early Alzheimer disease Ting WK-C, Fischer CE, Millikin CP, Ismail Z, Chow TW, Schweizer TA 2014 Curr Alzheimer Res [Internet] 2015 [cited 2015 Sep 9];12(2):165?72
Hierarchical multivariate covariance analysis of metabolic connectivity Carbonell F, Charil A, Zijdenbos AP, Evans AC, Bedell BJ 2014 J Cereb Blood Flow Metab. 2014 Dec;34(12):1936-43. doi: 10.1038/jcbfm.2014.165. Epub 2014 Oct 8 PMCID: PMC4269748
DOI: 10.1038
High-dimensional medial lobe morphometry: An automated MRI biomarker for the new AD diagnostic criteria Duchesne S, Valdivia F, Mouiha A, Robitaille N 2014 Int J of Alzheimers Dis, 2014:278096 PMCID: PMC4164123
Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation- and nonlinearity-aware sparse bayesian learning. Wan J, Zhang Z, Rao B, Fang S, Yan J, Saykin A, Shen L 2014 IEEE Trans Med Imaging, epub ahead of print DOI: 24710828
Imaging proteomics for diagnosis, monitoring and prediction of Alzheimer's disease Nazeri A, Ganjgahi H, Roostaei T, Nichols T, Zarei M; Alzheimer's Disease Neuroimaging Initiative 2014 Neuroimage, 102 Pt 2:657-665
Impaired glycemia increases disease progression in mild cognitive impairm Morris JK, Vidoni ED, Honea RA, Burns JM, Alzheimer's Disease Neuroimaing Initiative 2014 Neurobiology of Aging, 35:585-589, 2014 PMCID: 3894574
Improved discriminatory power of 18F-AV45 amyloid PET by brainstem reference and VOI-based partial volume effect correction Brendel M, Högenauer M, Delker A, Sauerbeck J, Bartenstein P, Seibyl J, Rominger A; Alzheimer's Disease Neuroimaging Initiative 2014 Neuroimage. 2015 Mar;108:450-9
Improved DTI registration allows voxel-based analysis that outperforms tract-based spatial statistics
Schwarz CG, Reid RI, Gunter JL, Senjem ML, Przybelski SA, Zuk SM,Whitwell JL, Vemuri P, Josephs KA, Kantarci K, Thompson PM, Petersen RC, Jack CR Jr, for the Alzheimer's Diseasea Neuroimaging Initiative
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Schwarz CG, Reid RI, Gunter JL, Senjem ML, Przybelski SA, Zuk SM,Whitwell JL, Vemuri P, Josephs KA, Kantarci K, Thompson PM, Petersen RC, Jack CR Jr, for the Alzheimer's Diseasea Neuroi...
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2014 Neuroimage, 94C: 65-78 PMID: 24650605
Independent component analysis for identification of white matter microstructural damages in Alzheimer's disease Ouyang X, Chen K, Yao L, et al. 2014 PLoS One [Internet] 2015 [cited 2015 Sep 15];10(3):e0119714 PMCID: PMC4361402
Individualized Gaussian process-based detection of local grey matter abnormalities in elderly subjects
Ziegler G, Ridgway GR, Dahnke R, Gaser C; Alzheimer's Disease Neuroimaging Initiative. Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects. Neuroimage, 97:333-348, 2014.
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Ziegler G, Ridgway GR, Dahnke R, Gaser C; Alzheimer's Disease Neuroimaging Initiative. Individualized Gaussian process-based prediction and detection of local and global gray matter abn...
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2014 PMCID: PMC4077633
Insulin resistance predicts glucose uptake in mild cognitive impairment conversion and Alzheimer's disease
Willette A, Kapogiannis D. INSULIN RESISTANCE PREDICTS GLUCOSE UPTAKE IN MILD COGNITIVE IMPAIRMENT AND ALZHEIMER?S DISEASE. Alzheimer?s Dement [Internet] 2014 [cited 2015 Sep 15];10(4):P75. Available from: http://aanddjournal.net/article/S1552526014007833/fulltext
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Willette A, Kapogiannis D. INSULIN RESISTANCE PREDICTS GLUCOSE UPTAKE IN MILD COGNITIVE IMPAIRMENT AND ALZHEIMER?S DISEASE. Alzheimer?s Dement [Internet] 2014 [cited 2015 Sep 15];10(4):...
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2014
Intracranial volume adjustment of MRI-derived regional brain volumes in large-scale cross-sectional volumetric studies
Voevodskaya O, Simmons A, Nordenskjöld R, et al. The effects of intracranial volume adjustment approaches on multiple regional MRI volumes in healthy aging and Alzheimer?s disease. Front Aging Neurosci [Internet] 2014 [cited 2015 Sep 15];6:264
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Voevodskaya O, Simmons A, Nordenskjöld R, et al. The effects of intracranial volume adjustment approaches on multiple regional MRI volumes in healthy aging and Alzheimer?s disease. Fro...
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2014 PMCID: PMC4188138
Intrinsic functional component analysis via sparse representation on ADNI database Jiang X, Zhang X, Zhu D: Intrinsic functional component analysis via sparse representation on ADNI database. Brain Connect, 4:575-586, 2014. 2014 PMCID: PMC4203117
It is unclear if adjusting cortical thickness for changes in gray/white matter intensity ratio improves dicrimination between normal aging, MCI, and AD. Brain Imaging and Behavior Bauer C, Cabral HJ, Killiany RJ, for the Alzheimer's Disease Neuroimaging Initiative 2014 Brain Imaging and Behavior. 8:133-140, 2014 PMID: 24535034
Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning
Yan J, Huang H, Kim S, Moore J, Saykin A, Shen L. JOINT IDENTIFICATION OF IMAGING AND PROTEOMICS BIOMARKERS OF ALZHEIMER'S DISEASE USING NETWORK-GUIDED SPARSE LEARNING. Proc IEEE Int Symp Biomed Imaging, 2014:665-668, 2014.
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Yan J, Huang H, Kim S, Moore J, Saykin A, Shen L. JOINT IDENTIFICATION OF IMAGING AND PROTEOMICS BIOMARKERS OF ALZHEIMER'S DISEASE USING NETWORK-GUIDED SPARSE LEARNING. Proc IEEE Int Sy...
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2014 PMCID: PMC4232946
Limited agreement between biomarkers of neuronal injury in Alzheimer's Disease Neuroimaging Initiative data
Alexopoulos P, Kriett L, Haller B, Klupp E, Gray K, Grimmer T, Laskaris N, Förster S, Perneczky R, Kurz A, Drzezga A, Fellgiebel A, Yakushev I, Alzheimer's Disease Neuroimaging Initiative: Limited agreement between biomarkers of neuronal injury at different stages of Alzheimer's disease. Alzheimers Dement, 10:684-689, 2014.
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Alexopoulos P, Kriett L, Haller B, Klupp E, Gray K, Grimmer T, Laskaris N, Förster S, Perneczky R, Kurz A, Drzezga A, Fellgiebel A, Yakushev I, Alzheimer's Disease Neuroimaging Initiat...
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2014
Longitudinal analysis is more powerful than cross sectional analysis in detecting genetic association with neuroimaging phenotypes
Xu Z, Shen X, Pan W; Alzheimer's Disease Neuroimaging Initiative. Longitudinal analysis is more powerful than cross-sectional analysis in detecting genetic association withneuroimaging phenotypes. PLoS One. 2014 Aug 6;9(8):e102312.
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Xu Z, Shen X, Pan W; Alzheimer's Disease Neuroimaging Initiative. Longitudinal analysis is more powerful than cross-sectional analysis in detecting genetic association withneuroimaging ...
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2014 PMCID: PMC4123854
Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression
Fiot JB, Raguet H, Risser L, Cohen LD, Fripp J, Vialard FX; Alzheimer's Disease Neuroimaging Initiative: Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression. Neuroimage Clin, 4:718-29, 2014.
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Fiot JB, Raguet H, Risser L, Cohen LD, Fripp J, Vialard FX; Alzheimer's Disease Neuroimaging Initiative: Longitudinal deformation models, spatial regularizations and learning strategies...
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2014 PMCID: PMC4053641
Longitudinal effects of metabolic syndrome on Alzheimer and vascular-related brain pathology Lin F, Lo RY, Cole D, Ducharme S, Chen DG, Mapstone M, Porsteinsson A 2014 Dement Geratr Cogn Dis Extra, 4:184-194 PMCID: PMC4187257
Low levels of CSF complement 3 and factor H predict faster cognitive decline in MCI
Toledo JB, Korff A, Shaw LM, Trojanowski JQ, Zhang J. Low levels of cerebrospinal fluid complement 3 and factor H predict faster cognitive decline in mild cognitive impairment. Alzheimers Res Ther, 6:36, 2014.
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Toledo JB, Korff A, Shaw LM, Trojanowski JQ, Zhang J. Low levels of cerebrospinal fluid complement 3 and factor H predict faster cognitive decline in mild cognitive impairment. Alzheime...
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2014 PMCID: PMC4255518
Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
Moradi E, Pepe A, Gaser C, Huttunen H, Tohka J; Alzheimer's Disease Neuroimaging Initiative. Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. Neuroimage. 2015 Jan 1;104:398-412. doi: 10.1016/j.neuroimage.2014.10.002. Epub 2014 Oct 12.
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Moradi E, Pepe A, Gaser C, Huttunen H, Tohka J; Alzheimer's Disease Neuroimaging Initiative. Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subj...
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2014
Medication for Alzheimer's disease and associated fall hazard: A retrospective cohort study from the Alzheimer's Disease Neuroimaing Initiative Epstein NJ, Guo R, Farlow MR, Singh JP, Fisher M:Medication for Alzheimer's disease and associated fall hazard 2014 Drugs Aging, 31:125-129, 2014 PMID: 24357133
Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer's disease
Morgado PM, Silveira M. Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer?s disease. Neurocomputing [Internet] 2015 [cited 2015 Sep 15];155:295?308.
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Morgado PM, Silveira M. Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer?s disease. Neurocomputing [Internet] 2015 [cited 2015 Sep 15];155:29...
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2014
Morphometric and histologic substrates of cingulate integrity in elderly individuals with exceptional memory capacity
Gefen T, Peterson M, Papastefan ST, et al. Morphometric and Histologic Substrates of Cingulate Integrity in Elders with Exceptional Memory Capacity. J Neurosci [Internet] 2015 [cited 2015 Jan 28];35(4):1781?91.
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Gefen T, Peterson M, Papastefan ST, et al. Morphometric and Histologic Substrates of Cingulate Integrity in Elders with Exceptional Memory Capacity. J Neurosci [Internet] 2015 [cited 20...
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2014 PMCID: PMC4308613
MRI based dementia classification using semi-supervised learning and domain adaptation
Moradi E, Pepe A, Gaser C, Huttunen H, Tohka J. Machine learning framework for early MRI-based Alzheimer?s conversion prediction in MCI subjects. Neuroimage [Internet] 2015 [cited 2015 Sep 15];104:398?412.
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Moradi E, Pepe A, Gaser C, Huttunen H, Tohka J. Machine learning framework for early MRI-based Alzheimer?s conversion prediction in MCI subjects. Neuroimage [Internet] 2015 [cited 2015 ...
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2014
Multi-channel neurodegenerative pattern analysis and its application in neuroimaging retrieval for Alzheimer's disease and mild cognitive impairment
Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization. Liu S, Cai W, Wen L, Feng DD, Pujol S, Kikinis R, Fulham MJ, Eberl S; ADNI. Comput Med Imaging Graph., 38:436-444, 2014.
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Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization. Liu S, Cai W, Wen L, Feng DD, Pujol S, Kikinis R, Fulham MJ, Eberl S; ADNI....
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2014 PMCID: PMC4135007
Multi-resolutional shape features via non-euclidean wavelets: Applications to statistical analysis of cortical thickness Kim WH, Singh V, Chung MK, Hinricks C, Pachauri D, Okonkwo OC, Johnson SC, Alzheimer's Disease Neuroimaging Initiative 2014 Neuroimage, 93 Pt 1: 107-123 PMID: 24614060
Neuropsychiatric symptoms and regional neocortical atrophy in mild cognitive impairment and Alzheimer's disease Rafii MS, Taylor CS, Kim HT, Desikan RS, Fleisher AS, Katibian D, Brewer JB, Dale AM, Aisen PS 2014 Am J Alzheimers Dis Other Demen. 29:159-165, 2014 PMID: 24164929
New representation of information extracted from MRI volumes for content-based retrieval applied to Alzheimer's disease
Trojacanec, K., Kitanovski, I., Dimitrovski, I., & Loshkovska, S. (2015). New Representation of Information Extracted from MRI Volumes Applied to Alzheimer?s Disease. In ICT Innovations 2014 (pp. 249-258). Springer International Publishing.
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Trojacanec, K., Kitanovski, I., Dimitrovski, I., & Loshkovska, S. (2015). New Representation of Information Extracted from MRI Volumes Applied to Alzheimer?s Disease. In ICT Innovations...
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2014
Operationalizing hippocampal volume as an enrichment biomarker for amnestic MCI trials: Effect of algorithm, test-retest variability and cut-point on trial cost, duration and sample size Yu P, Wolz R, Stephenson D, Brewer J, Fox NC, Cole PE, Jack CR, Hill DLG, Schwarz AJ, for the Coalition Against Major Diseases and the Alzheimer's Disease Neuroimaging Initiative 2014 Neurobiology of Aging,35: 808-818, 2014 PMID: 24211008
Optimal selection of regularizatoin parameter in total variation method of reducing noise in magnetic resonance images of the brain
Osadebey M, Bouguila N, Arnold D. Optimal selection of regularization parameter in total variation method for reducing noise in magnetic resonance images of the brain. Biomed Eng Lett [Internet] 2014 [cited 2015 Sep 15];4(1):80?92.
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Osadebey M, Bouguila N, Arnold D. Optimal selection of regularization parameter in total variation method for reducing noise in magnetic resonance images of the brain. Biomed Eng Lett [...
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2014
Predicting aggressive decline in mild cognitive impairment: The importance of white matter hyperintensities
Tosto G, Zimmerman ME, Carmichael OT, Brickman AM, Alzheimer's Disease Neuroimaging Initiative: Predicting aggressive decline in mild cognitive impairment: The importance of white matter hyperintensities. JAMA Neurol, 71(7):872-7, 2014.
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Tosto G, Zimmerman ME, Carmichael OT, Brickman AM, Alzheimer's Disease Neuroimaging Initiative: Predicting aggressive decline in mild cognitive impairment: The importance of white matte...
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2014 PMCID: PMC4107926
Predicting progression of Alzheimer's disease using ordinal regressin
Doyle OM, Westman E, Marquand AF, Mecocci P, Vellas B, Tsolaki M, K?oszewska I, Soininen H, Lovestone S, Williams SC, Simmons A. Predicting progression of Alzheimer's disease using ordinal regression. PLoS One, 9:e105542, 2014.
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Doyle OM, Westman E, Marquand AF, Mecocci P, Vellas B, Tsolaki M, K?oszewska I, Soininen H, Lovestone S, Williams SC, Simmons A. Predicting progression of Alzheimer's disease using ordi...
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2014 PMCID: PMC4139338
Predicting the time to clinically worsening in mild cognitive impairment patients and its utility in clinical trail design by modeling a longitudinal clinical dementia rating sum of boxes from the ADNI database. Ito K, Hutmacher MM 2014 J Alzheimers Dis, epub ahead of print PMID: 24531162
Prevalance of amyloid in demented subjects Ossenkoppele R, Jansen WJ, Scheltens P, van Berckel B, Visser PJ. PREVELANCE OF AMYLOID IN DEMENTED SUBJECTS. Alzheimer?s Dement [Internet] 2014 [cited 2015 Sep 15];10(4):P542?3. 2014
Prevalence and prognosis of prodromal Alzheimer's disease: A pooled analysis of longitudinal cohort studies Vos, S. J., Verhey, F. R., Scheltens, P., & Visser, P. J. 2014 Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 10(4), P193
Prevalence of amyloid pathology in non-demented subjects: A multicenter study Visser PJ, Jansen WJ, Ossenkoppele R, Knol D, Verhey 2014 Alzheimer's Dement [Internet] 2014 [cited 2015 Sep 15];10(4):P220. Available from: http://www.alzheimersanddementia.com/article/S1552526014004300/fulltext
Prognostic utility of MRI atrophy measures in aMCI patients with globally normal cognitive function Bodryzlova Y, Potvin O, Duchesne S 2014 Alzheimer?s Dement [Internet] 2014 [cited 2015 Sep 15];10(4):P112
Projecting MRI brain images for the detection of Alzheimer's disease Martínez-Murcia FJ, Górriz JM, Ramírez J, Alvarez Illán I, Salas-González D, Segovia F; Alzheimer's Disease Neuroimaging Initiative 2014 Stud Health Technol Inform. 2014;207:225-33
Ptau-AB42 ratio as a continuous trait for biomarker discovery for early stage Alzheiemer's disease in multiplex immunoassay panels of cerebrospinal fluid Harari O, Cruchaga C, Kauwe JS, Ainscough BJ, Bales K, Pickering EH, Bertelsen S, Fagan AM, Holtzman DM, Morris JC, Goate AM, Alzheimer's Disease Neuroimaging Initiative 2014 Biol Psychoatry, 75:723-731, 2014 PMID: 24548642
Reducing post lumbar puncture headaches with small bore atraumatic needles Vidoni ED, Morris JK, Raider K, Burns JM; Alzheimer’s Disease Neuroimaging Initiative 2014 Journal of Clinical Neuroscience, 21:536-537, 2014 PMID: 24156907
Regional cortical thinning and cerebrospinal biomarkers predict worsening daily functioning across the Alzheimer disease spectrum. Marshall GA, Lorius N, Locascio JJ, Hyman BT, Rentz DM, Johnson KA, Sperling RA 2014 J Alzheimers Dis, epub ahead of print PMID: 24685624
Regional fluorodeoxyglucose metabolism and instrumental activities of daily living across the Alzheimer disease spectrum Roy K, Pepin LC, Philiossaint M, Lorius N, Becker JA, Locascio JJ, Rentz DM, Sperling RA, Johnson KA, Marshall GA 2014 J Alzheimers Dis, 42:291-300 PMCID: PMC4133312
Regions of interest computed by SVM wrapped method for Alzheimer's disease examination from segmented MRI Hidalgo-Munoz AR, Ramirez J, Gorriz JM, Padilla P 2014 Front Aging Neurosci, epub ahead of print, 2014 PMID: PMC3929832
Regularized 3D functional regression for brain imaging via haar wavelets Wang X, Nan B, Zhu J, Koeppe R 2014 Ann Appl Stat, 8(2):1045-1064 PMCID: PMC4465522
Semi-supervised learning in MCI-to-AD conversion predictdion - When is unlabeled data useful? Moradi, E., Tohka, J., & Gaser, C. (2014, June) 2014 In Pattern Recognition in Neuroimaging, 2014 International Workshop on (pp. 1-4). IEEE.
Serum cholesterol and variant cholesterol-related gene CETP predict white matter integrity
Warstadt NM, Dennis EL, Jahanshad N, Kohannim O, Nir TM, McMahon KL, de Zubicaray GI, Montgomery GW, Henders AK, Martin NG, Whitfield JB, Jack CR Jr, Bernstein MA, Weiner MW, Toga AW, Wright MJ, Thompson PM; Alzheimer's Disease Neuroimaging Initiative (ADNI)
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Warstadt NM, Dennis EL, Jahanshad N, Kohannim O, Nir TM, McMahon KL, de Zubicaray GI, Montgomery GW, Henders AK, Martin NG, Whitfield JB, Jack CR Jr, Bernstein MA, Weiner MW, Toga AW, W...
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2014 Neurobiol Aging, 35:2504-2513 PMCID: PMC4198330
Sleep disordered breathing accelerates cognitiive decline to mild cognitive impairment and Alzheimer's disease in elderly from the ADNI cohort Osorio RS, Gumb T, Pirraglia E, et al 2014 Neurology [Internet] 2015 [cited 2015 Aug 25];84(19):1964?71 PMCID: PMC4433459
Spatiallty weighted principal component analysis for imaging classification Guo R, Ahn M, Zhu H 2014 J Comput Graph Stat [Internet] 2015 [cited 2015 Sep 15];24(1):274?96 PMCID: PMC4467033
Spectral Laplace-Beltrami Wavelets with Applications in Medical Images Tan M, Qiu A 2014 IEEE Trans Med Imaging. 2014 Oct 17
SPReM: Sparse projection regression model for high-dimensional linear regression Sun Q, Zhu H, Liu Y, Ibrahim JG. SPReM 2014 J Am Stat Assoc [Internet] 2015 [cited 2015 Sep 15];110(509):289?302 PMCID: PMC4627720
Structural brain changes associated with depressive symptoms in the elderly with Alzheimer's disease Lebedeva A, Westman E, Lebedev AV, Li X, Winblad B, Simmons A, Wahlund LO, Aarsland D, for the Alzheimer's Disease Neuroimaging Initiative 2014 J Neurol Neurosug Psychiatry, epub ahead of print, 2014 PMID: 24421287
Studying ventricular abnormalities in mild cognitive impairment with hyperbolic ricci flow and tensor-based morphometry Shi J, Stonnington CM, Thompson PM, Chen K, Gutman B, Reschke C, Baxter LC, Reiman EM, Caselli RJ, Wang Y; Alzheimer's Disease Neuroimaging Initiative 2014 Neuroimage. 2015 Jan 1;104:1-20. doi: 10.1016/j.neuroimage.2014.09.062. Epub 2014 Oct 5 PMCID: PMC4252650
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Subgroups of Alzheimer's disease - Stability of empirical clusters over time Peter J, Abdulkadir A, Kaller C, Kümmerer D, Hüll M, Vach W, Klöppel S 2014 J Altzheimers Disease, 42:651-661
Survival analysis for [18F] fluorodeoxyglucose positron emission tomography in mild cognitive impairment progression Li R, Perneczky R, Yakushev I, et al. 2014 PLoS One [Internet] 2014 [cited 2015 Sep 15];10(4):e0122731 PMCID: PMC4412726
Susceptibility of the conventional criteria for mild cognitive impairment to false positive diagnostic errors: Evidence from the Alzheimer's Disease Neuroimaging Initiative Edmonds EC, Delano-Wood L, Clark LR, Jak AJ, Nation DA, McDonald CR, Libon DJ, Au R, Galasko D, Salmon DP, Bondi MW, Alzheimer's Disease Neuroimaging Initiative 2014 Alzheimers Dement, epub ahead of print PMCID: PMC4241187
Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data Zhang Y, Xu Z, Shen X, Pan W, for the Alzheimer's Disease Neuroimaging Initiative 2014 Neuroimage, epub ahead of print, 2014 PMID: 24704269
The apolipoprotein E epsilon 4 allele is associated with ventricular expansion rate and surface morphology, independently of dementia status in the elderly Roussotte FF, Gutman BA, Madsen SK, Colby JB, Narr KL, Thompson PM, Alzheimer's Disease Neuroimaging Initiative 2014 Neurobiol Aging, 35:1309-1317 PMCID: 3961511
The ENIGMA Consortium: Large-scale collaborative analysis of neuroimaging and genetic data Thompson PM, et al: The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data. 2014 Brain Imaging Behav, epub ahead of print PMID: 24399358
The impact of chronic depressive symptoms on gray matter atrophy rates over three years of follow-up in mild cognitive impairment Sacuiu S, Insel PS, Mueller S, et al. 2014 Am J Geriatr Psychiatry [Internet] 2015 [cited 2015 Jul 22] PMCID: 26238228
The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data
Schmidt ME, Chiao P, Klein G, Matthews D, Thurfjell L, Cole PE, Margolin R, Landau S, Foster NL, Mason NS, De Santi S, Suhy J, Koeppe RA, Jagust W; Alzheimer's Disease Neuroimaging Initiative
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Schmidt ME, Chiao P, Klein G, Matthews D, Thurfjell L, Cole PE, Margolin R, Landau S, Foster NL, Mason NS, De Santi S, Suhy J, Koeppe RA, Jagust W; Alzheimer's Disease Neuroimaging Init...
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2014 Alzheimers Dement. 2014 Nov 24. pii: S1552-5260(14)02826-X
The Italian Alzheimer's Disease Neuroimaging Initiative (I-ADNI): Validation of structural MR imaging
Cavedo E, Redolfi A, Angeloni F, Babiloni C Lizio R, Chiapparini L, Bruzzone MG, Aquino D, Sabatini U, Alesiani M, Cherubini A, Salvatore E, Soricelli A, Vernieri F, Scrascia F, Sinforiani E, Chiarati P, Bastianello S, Montella P, Corbo D, Tedeschi G, Marino S, Baglieri A, De Salvo S, Carducci F, Quattrocchi CC, Cobelli M, Frisoni GB: The Italian Alzheimer's Disease Neuroimaging Initiative (I-ADNI)
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Cavedo E, Redolfi A, Angeloni F, Babiloni C Lizio R, Chiapparini L, Bruzzone MG, Aquino D, Sabatini U, Alesiani M, Cherubini A, Salvatore E, Soricelli A, Vernieri F, Scrascia F, Sinfori...
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2014 J Alzheimers Dis, epub ahead of print, 2014 PMID: 24577455
The preclinical Alzheimer cognitive composite: Measuring amyloid-related decline
Donohue MC, Sperling RA, Salmon DP, Rentz DM, Raman R, Thomas RG, Weiner M, Aisen PS, for the Australian Imaging, Biomarkers, and Lifestyle Flagship Study of Ageing, the Alzheimer's Disease Neuroimaging Initiative, and the Alzheimer's Disease Cooperative Study
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Donohue MC, Sperling RA, Salmon DP, Rentz DM, Raman R, Thomas RG, Weiner M, Aisen PS, for the Australian Imaging, Biomarkers, and Lifestyle Flagship Study of Ageing, the Alzheimer's Dis...
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2014 JAMA Neurol,71:961-970 PMCID: PMC4439182
The roots of Alzheimer's disease: Are high-expanding cortical areas preferentially targed? Fjell AM, Amlien IK, Sneve MH, Grydeland H, Tamnes CK, Chaplin TA, Rosa MG, Walhovd KB: The roots of Alzhiemer's disease 2014 Cereb Cortex, epub ahead of print, 2014 PMID: 24658616
Trajectories of brain atrophy and cognitive impairment in Alzheimer's disease - the role of APOE Susanto TAK, Pua EPK, Zhou J 2014 J Alzheimers Dis [Internet] 2015 [cited 2015 Sep 15];45(1):253?68. PMCID: PMC25524955
Unsupervised segmentation, clustering and groupwise registration of heterogeneous populations of brain MR images Ribbens A, Hermans J, Maes F, Vandermeulen D, Suetens 2014 PIEEE Trans Med Imaging, 33:201-224, 2014 PMID: 23797244
Utility of combination of the RAVLT delayed recall and the recognition discrimbinability index to predict conversion from mild cognitive impairment to Alzheimer disease in patients in the Alzheimer's Disease Neuroimaging Initiative 2014
A blood-based predictor for neocortical A? burden in Alzheimer's disease: results from the AIBL study.
Burnham SC, Faux NG, Wilson W, Laws SM, Ames D, Bedo J, Bush AI, Doecke JD, Ellis KA, Head R, Jones G, Kiiveri H, Martins RN, Rembach A, Rowe CC,Salvado O, Macaulay SL, Masters CL, Villemagne VL; Alzheimer’s Disease Neuroimaging Initiative; Australian Imaging, Biomarkers and Lifestyle StudyResearch Group
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Burnham SC, Faux NG, Wilson W, Laws SM, Ames D, Bedo J, Bush AI, Doecke JD, Ellis KA, Head R, Jones G, Kiiveri H, Martins RN, Rembach A, Rowe CC,Salvado O, Macaulay SL, ...
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2013 Molecular Psychiatry, epub ahead of print PMID: 23628985
A commonly carried genetic variant in the delta opioid receptor gene, OPRD1, is associated with smaller regional brain volumes: Replication in elderly and young populations.
Roussotte FF, Jahanshad N, Hibar DP, Sowell ER, Kohannim O, Barysheva M, Hansell NK, McMahon KL, de Zubicaray GI, Montgomery GW, Martin NG, Wright MJ, Toga AW, Jack CR Jr, Weiner MW, Thompson PM; and the ADNI
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Roussotte FF, Jahanshad N, Hibar DP, Sowell ER, Kohannim O, Barysheva M, Hansell NK, McMahon KL, de Zubicaray GI, Montgomery GW, Martin NG, Wright MJ, Toga AW, Jack CR Jr, Weiner MW, Th...
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2013 Human Brain Mapping, epub ahead of print PMID: 23427138
A method for processing multivariate data in medical studies. Coubard OA, for the Alzheimer's Disease Neuroimaging Initiative 2013 Statistics in Medicine, PMID: 23553725
Amyloid-B imaging with Pittsburgh compound B and florbetapir: Comparing radiotracers and quantification methods. Landau SM, Breault C, Joshi AD, Pontecorvo M, Mathis CA, Jagust WF, Mintun MA 2013 Nuclear Medicine, 54:70-77 PMID: 23166389
Association of plasma and cortical amyloid beta is modulated by APOE status.
Swaminathan S, Risacher SL, Yoder KK, West JD, Shen L, Kim S, Inlow M, Foroud T, Jagust WJ, Koeppe RA, Mathis CA, Shaw LM, Trojanowski JQ, Soares H, Aisen PS, Petersen RC, Weiner MW, Saykin AJ, for the Alzheimer's Disease Neuroimaging Initiative
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Swaminathan S, Risacher SL, Yoder KK, West JD, Shen L, Kim S, Inlow M, Foroud T, Jagust WJ, Koeppe RA, Mathis CA, Shaw LM, Trojanowski JQ, Soares H, Aisen PS, Petersen RC, Weiner MW, Sa...
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2013 Alzheimer's & Dementia, epub ahead of print PMID: 23541187
Brain development and aging: Overlapping and unique patterns of change.
Tamnes CK, Walhovd KB, Dale AM, Ostby Y, Grydeland H, Richardson G, Westlye LT, Roddey JC, Hagler DJ, Due-Tonnessen P, Holland D, Fjell AM, for the Alzheimer's Disease Neuroimaging Initiative
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Tamnes CK, Walhovd KB, Dale AM, Ostby Y, Grydeland H, Richardson G, Westlye LT, Roddey JC, Hagler DJ, Due-Tonnessen P, Holland D, Fjell AM, for the Alzheimer's Disease Neuroimaging Init...
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2013 Neuroimage, 68:63-74 PMID: 23246860
Brain development and aging: Overlapping and unique patterns of change.
Tamnes CK, Walhovd KB, Dale AM, Ostby Y, Grydeland H, Richardson G, Westlye LT, Roddey JC, Hagler DJ, Due-Tonnessen P, Holland D, Fjell AM, for the Alzheimer's Disease Neuroimaging Initiative
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Tamnes CK, Walhovd KB, Dale AM, Ostby Y, Grydeland H, Richardson G, Westlye LT, Roddey JC, Hagler DJ, Due-Tonnessen P, Holland D, Fjell AM, for the Alzheimer's Disease Neuroimaging Init...
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2013 Neuroimage, 68:63-74 PMID: 23246860
Breakdown of Brain Connectivity between Normal Aging and Alzheimer's Disease: A Structural k-Core Network Analysis. Daianu M, Jahanshad N, Nir TM, Toga A, Jack CR, Weiner MW, Thompson P 2013 Brain Connect, epub ahead of print PMID: 23701292
CD33 Alzheimer's disease locus: altered monocyte function and amyloid biology.
Bradshaw EM, Chibnik LB, Keenan BT, Ottoboni L, Raj T, Tang A, Rosenkrantz LL, Imboywa S, Lee M, Von Korff A; The Alzheimer Disease Neuroimaging Initiative, Morris MC, Evans DA, Johnson K, Sperling RA, Schneider JA, Bennett DA, De Jager PL
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Bradshaw EM, Chibnik LB, Keenan BT, Ottoboni L, Raj T, Tang A, Rosenkrantz LL, Imboywa S, Lee M, Von Korff A; The Alzheimer Disease Neuroimaging Initiative, Morris MC, Eva...
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2013 Nature Neuroscience, May 2013 PMID: 23708142
Cortical Surface Reconstruction via Unified Reeb Analysis of Geometric and Topological Outliers in Magnetic Resonance Images. Shi Y, Lai R, Toga A 2013 IEEE Trans Med Imaging, 32(3):511-30 PMID: 23086519
Criteria for mild cognitive impairment due to alzheimer's disease in the community. Petersen RC, Aisen P, Boeve BF, Geda YE, Ivnik RJ, Knopman DS, Mielke M, Pankratz VS, Roberts R, Rocca WA, Weigand S, Weiner M, Wiste H, Jack CR Jr 2013 Annals of Neurology, May 2013 PMID: 23686697
Critical ages in the life course of the adult brain: nonlinear subcortical aging. Fjell AM, Westlye LT, Grydeland H, Amlien I, Espeseth T, Reinvang I, Raz N, Holland D, Dale AM, Walhovd KB; Alzheimer Disease Neuroimaging Initiative 2013 Neurobiology of Aging, epub ahead of print PMID: 23643484
Diagnostic accuracy of markers for prodromal Alzheimer's disease in independent clinical series. Prestia A, Caroli A, Herholz K, Reiman E, Chen K, Jagust WJ, Frisoni GB; Translational Outpatient Memory Clinic Working Group; for the Alzheimer's Disease Neuroimaging Initiative 2013 Alzheimer's & Dementia, epub ahead of print PMID: 23375562
Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypes. Samtani MN, Raghavan N, Shi Y, Novak G, Farnum M, Lobanov V, Schultz T, Yang E, Dibernardo A, Narayan VA; Alzheimer's Disease Neuroimaging Initiative 2013 British Journal of Clinical Pharmacology, 75(1):146-161
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DOI: 10.1111/j.1365-2125.2012.04308.x
Dissecting the Gene Dose-Effects of the APOE ?4 and ?2 Alleles on Hippocampal Volumes in Aging and Alzheimer's Disease. Hostage CA, Roy Choudhury K, Doraiswamy PM, Petrella JR, for the Alzheimer's Disease Neuroimaging Initiative 2013 PlosOne Epub PMID: 23405083
Dynamics of brain structure and cognitive function in the Alzheimer's disease neuroimaging initiative. Song X, Mitnitski A, Zhang N, Chen W, Rockwood K, for the Alzheimer's Disease Neuroimaging Initiative 2013 Journal of neurology, neurosurgery, and psychiatry, 84:71-78 PMID: 23123510
PMCID: PMC3500581
Effect of Cognitive Reserve Markers on Alzheimer Pathologic Progression. Lo RY, Jagust WJ; for the Alzheimer’s Disease Neuroimaging Initiative 2013 Alzheimer Disease and Associated Disorder, epub ahead of print PMID: 23552443
Establishing the psychometric underpinning of cognition measures for clinical trials of Alzheimer's disease and its precursors: A new approach. Posner HB, Cano S, Carrillo MC, Selnes O, Stern Y, Thomas RG, Zajicek J, Hobart J; for the Alzheimer's Disease Neuroimaging Initiative 2013 Alzheimer's and Dementia, 9:S56-60 PMID: 23391006
Fat-mass-related hormone, plasma leptin, predicts brain volumes in the elderly. Rajagopalan P, Toga AW, Jack CR, Weiner MW, Thompson PM, for the Alzheimer's Disease Neuroimaging Initiative 2013 Neuroreport, 24:58-62 PMID: 23238164
Genetic interactions associated with 12-month atrophy in hippocampus and entorhinal cortex in Alzheimer's Disease Neuroimaging Initiative. Meda SA, Koran ME, Pryweller JR, Vega JN, Thornton-Wells TA; Alzheimer's Disease Neuroimaging Initiative 2013 Nuerobiology of aging, 34(5):1518.e9-18 PMID: 23107432
Genome-wide association study of the rate of cognitive decline in Alzheimer's disease.
Sherva R, Tripodis Y, Bennett DA, Chibnik LB, Crane PK, de Jager PL, Farrer LA, Saykin AJ, Shulman JM, Green RC; The GENAROADS Consortium, and TheAlzheimer's Disease Neuroimaging Initiative
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Sherva R, Tripodis Y, Bennett DA, Chibnik LB, Crane PK, de Jager PL, Farrer LA, Saykin AJ, Shulman JM, Green RC; The GENAROADS Consortium, and TheAlzheimer's Disease Neuroima...
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2013 Alzheimer's and Dementia, epub ahead of print PMID: 23535033
Genome-wide scan for copy number variation association with age at onset of Alzheimer's disease. Szigeti K, Lal D, Li Y, Doody RS, Wilhelmsen K, Yan L, Liu S, Ma C; Texas Alzheimer Research and Care Consortium 2013 Journal of Alzheimer's Disease,33(2):517-23 PMID: 23202439
GWAS of cerebrospinal fluid tau levels identifies risk variants for Alzheimer's disease.
Cruchaga C, Kauwe JS, Harari O, Jin SC, Cai Y, Karch CM, Benitez BA, Jeng AT, Skorupa T, Carrell D, Bertelsen S, Bailey M, McKean D, Shulman JM, De Jager PL, Chibnik L, Bennett DA, Arnold SE, Harold D, Sims R, Gerrish A, Williams J, Van Deerlin VM, Lee VM, Shaw LM, Trojanowski JQ, Haines JL, Mayeux R, Pericak-Vance MA, Farrer LA, Schellenberg GD, Peskind ER, Galasko D, Fagan AM, Holtzman DM, Morris JC; GERAD Consortium; Alzheimer’s Disease Neuroimaging Initiative (ADNI); Alzheimer Disease Genetic Consortium (ADGC), Goate AM
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Cruchaga C, Kauwe JS, Harari O, Jin SC, Cai Y, Karch CM, Benitez BA, Jeng AT, Skorupa T, Carrell D, Bertelsen S, Bailey M, McKean D, Shulman JM, De Jager PL, Chibnik L, ...
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2013 Neuron, 78(2):256-68 PMID: 23562540
Heart-type fatty acid binding protein and vascular endothelial growth factor: cerebrospinal fluid biomarker candidates for Alzheimer's disease. Guo LH, Alexopoulos P, Perneczky R 2013 European Archives of Psychiatry and Clinical Neuroscience, epub ahead of print PMID: 23591828
LCC-Demons: A robust and accurate diffeomorphic registration algorithm. Lorenzi M, Ayache N, Frisoni GB, Pennec X; for the Alzheimer's Disease Neuroimaging Initiative (ADNI) 2013 Neuroimage, epub ahead of print PMID: 23685032
Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features. Gutman BA, Hua X, Rajagopalan P, Chou YY, Wang Y, Yanovsky I, Toga AW, Jack CR Jr, Weiner MW, Thompson PM, for the Alzhiemer's Disease Neuroimaging Initiative 2013 Neuroimage, 70:386-401 PMID: 23296188
Meta-analysis based SVM classification enables accurate detection of Alzheimer's disease across different clinical centers using FDG-PET and MRI. Dukart J, Mueller K, Barthel H, Villringer A, Sabri O, Schroeter ML, for the Alheimer's Disease Neuroimaging Initiative 2013 Psychiatry Research, 212(3):230-6 PMID: 23149027
Mixed-effects beta regression for modeling continuous bounded outcome scores using NONMEM when data are not on the boundaries. Xu XS, Samtani MN, Dunne A, Nandy P, Vermeulen A, De Ridder F; The Alzheimer’s Disease Neuroimaging Initiative 2013 Journal of Pharmacokinetics and Pharmacodynamics, epub ahead of print PMID: 23645382
Modeling disease progression via multi-task learning. Zhou J, Liu J, Narayan VA, Ye J, the Alzheimer's Disease Neuroimaging Initiative 2013 Neuroimage, 78:233-48 PMID: 23583359
MRI and cerebrospinal fluid biomarkers for predicting progression to Alzheimer’s disease in patients with mild cognitive impairment: a diagnostic accuracy study. Edo Richard, Ben A Schmand, Piet Eikelenboom, Willem A Van Gool, The Alzheimer's Disease Neuroimaging Initiative 2013 BMJ Open, 20:3(6) PMID: 23794572
Operationalizing protocol differences for EADC-ADNI manual hippocampal segmentation.
Boccardi M, Bocchetta M, Ganzola R, Robitaille N, Redolfi A, Duchesne S, Jack CR Jr, Frisoni GB; EADC-ADNI Working Group on The Harmonized Protocol for Hippocampal Volumetry and for the Alzheimer's Disease Neuroimaging Initiative
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Boccardi M, Bocchetta M, Ganzola R, Robitaille N, Redolfi A, Duchesne S, Jack CR Jr, Frisoni GB; EADC-ADNI Working Group on The Harmonized Protocol for Hippocampal Volumetry and...
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2013 Alzheimer's & Dementia, epub ahead of print PMID: 23706515
Plasma proteomics for the identification of Alzheimer’s disease. Guo LH, Alexopoulos P, Wagenpfeil S, Kurz A, Perneczky R. 2013 Alzheimer's Disease Assoc Disord, epub ahead of print PMID: 23314060
Predicting AD Conversion: Comparison between Prodromal AD Guidelines and Computer Assisted PredictAD Tool. Liu Y, Mattila J, Ruiz MÁ, Paajanen T, Koikkalainen J, van Gils M, Herukka SK, Waldemar G, Lötjönen J, Soininen H; for the Alzheimer’s Disease Neuroimaging Initiative 2013 PLoS One 8:e55246 PMCID: PMC3570420
Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI. Augustinack JC, Huber KE, Stevens AA, Roy M, Frosch MP, van der Kouwe AJ, Wald LL, Van Leemput K, McKee A, Fischl B, For the Alzheimer's Disease Neuroimaging Initiative 2013 Neuroimage. 2013 Jan 1;64:32-42
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DOI: 10.1016/j.neuroimage.2012.08.071
Psychosis in Alzheimer's Disease Is Associated With Frontal Metabolic Impairment and Accelerated Decline in Working Memory: Findings From the Alzheimer's Disease Neuroimaging Initiative. Koppel J, Sunday S, Goldberg TE, Davies P, Christen E, Greenwald BS; Alzheimer's Disease Neuroimaging  Initiative 2013 The American Journal of Geriatric Psychiatry, epub ahead of print. PMID: 23672944
Standardization of analysis sets for reporting results from ADNI MRI data.
Wyman BT, Harvey DJ, Crawford K, Bernstein MA, Carmichael O, Cole PE, Crane PK, Decarli C, Fox NC, Gunter JL, Hill D, Killiany RJ, Pachai C, Schwarz AJ, Schuff N, Senjem ML, Suhy J, Thompson PM, Weiner M, Jack CR Jr, Alzheimer’s Disease Neuroimaging Initiative
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Wyman BT, Harvey DJ, Crawford K, Bernstein MA, Carmichael O, Cole PE, Crane PK, Decarli C, Fox NC, Gunter JL, Hill D, Killiany RJ, Pachai C, Schwarz AJ, Schuff N, Senjem ML, Suhy J, Tho...
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2013 Alzheimer's & Dementia, 9(3):332-7 PMID: 23110865
STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation. Jorge Cardoso M, Leung K, Modat M, Keihaninejad S, Cash D, Barnes J, Fox NC, Ourselin S; for the Alzheimer’s Disease Neuroimaging Initiative 2013 Medical Image Analysis, 17(6):671-84 PMID: 23510558
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions. Wang D, Nie F, Huang H, Yan J, Risacher SL, Saykin AJ, Shen L, and for the Alzheimer’s Disease Neuroimaging Initiative 2013 nternational Conference on Information Processing in Medical Imaging 2013, LNCS 7917, pp. 536-547
Subgroup of ADNI normal controls characterized by atrophy and cognitive decline associated with vascular damage. Nettiksimmons J, Beckett L, Schwarz C, Carmichael O, Fletcher E, DeCarli C, for the Alzheimer's Disease Neuroimaging Initiative 2013 Psychology and Aging, 28:191-201 PMID: 23527743
Subscale Validation of the Neuropsychiatric Inventory Questionnaire: Comparison of Alzheimer's Disease Neuroimaging Initiative and National Alzheimer's Coordinating Center Cohorts. Trzepacz PT, Saykin A, Yu P, Bhamditipati P, Sun J, Dennehy EB, Willis B, Cummings JL, Alzheimer's Disease Neuroimaging Intiative 2013 The American Journal of Geriatric Psychiatry, 21(7):607-22 PMID: 23602309
Surface fluid registration of conformal representation: Application to detect disease effects and genetic influence on hippocampus. Shi J, Thompson PM, Gutman B, Wang Y, for the Alzheimer's Disease Neuroimaging Initiative 2013 Neuroimage, 78:111-34 PMID: 23587689
The role of apolipoprotein E (APOE) genotype in early mild cognitive impairment (E-MCI).
Risacher SL, Kim S, Shen L, Nho K, Foroud T, Green RC, Petersen TC, Jack CR Jr, Aisen PS, Koeppe RA, Jagust WJ, Shaw LM, Trojanowski JQ, Weiner MW, and Saykin AJ, for the Alzheimer's Disease Neuroimaging Initiative
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Risacher SL, Kim S, Shen L, Nho K, Foroud T, Green RC, Petersen TC, Jack CR Jr, Aisen PS, Koeppe RA, Jagust WJ, Shaw LM, Trojanowski JQ, Weiner MW, and Saykin AJ, for the Alzheimer's Di...
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2013 Frontiers in Aging Neuroscience, 5:1-12 PMID: 23554593
White matter hyperintensities and amyloid are independently associated with entorhinal cortex volume among individuals with mild cognitive impairment. Guzman VA, Carmichael OT, Schwarz C, Tosto G, Zimmerman ME, Brickman AM; Alzheimer's Disease Neuroimaging Initiative 2013 Alzheimer's & Dementia, epub ahead of print PMID: 23375566
White Matter Hyperintensities and Cerebral Amyloidosis: Necessary and Sufficient for Clinical Expression of Alzheimer Disease? Provenzano FA, Muraskin J, Tosto G, Narkhede A, Wasserman BT, Griffith EY, Guzman VA, Meier IB, Zimmerman ME, Brickman AM 2013 JAMA Neurology 70(4):455-61 PMID: 23420027
Whole-exome sequencing and imaging genetics identify functional variants for rate of change in hippocampal volume in mild cognitive impairment.
Nho K, Corneveaux JJ, Kim S, Lin H, Risacher SL, Shen L, Swaminathan S, Ramanan VK, Liu Y, Foroud T, Inlow MH, Siniard AL, Reiman RA, Aisen PS,Petersen RC, Green RC, Jack CR, Weiner MW, Baldwin CT, Lunetta K, Farrer LA; for the Multi-Institutional Research on Alzheimer Genetic Epidemiology (MIRAGE) Study, Furney SJ, Lovestone S, Simmons A, Mecocci P, Vellas B, Tsolaki M, Kloszewska I, Soininen H; for the AddNeuroMed Consortium, McDonald BC, Farlow MR, Ghetti B; for the Indiana Memory and Aging Study, Huentelman MJ, Saykin AJ
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Nho K, Corneveaux JJ, Kim S, Lin H, Risacher SL, Shen L, Swaminathan S, Ramanan VK, Liu Y, Foroud T, Inlow MH, Siniard AL, Reiman RA, Aisen PS,Petersen RC, Green RC, Jack...
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2013 Molecular Psychiatry, 18(7):781-7 PMID: 23608917
A computational neurodegenerative disease progression score: Method and results with the Alzheimer's Disease Neuroimaging Initiative cohort. Jedynak BM, Lang A, Liu B, Katz E, Zhang Y, Wyman BT, Raunig D, Jedynak CP, Caffo B, Prince JL, for the Alzheimer's Disease Neuroimaging Initiative 2012 Neuroimage, 63(3):1478-1486
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DOI: 10.1016/j.neuroimage.2012.07.059
A Direct Morphometric Comparison of Five Labeling Protocols for Multi-Atlas Driven Automatic Segmentation of the Hippocampus in Alzheimer's Disease. Nestor SM, Gibson E, Gao FQ, Kiss A, Black SE, for the Alzheimer's Disease Neuroimaging Initiative 2012 NeuroImage, 66C:50-70 PMID: 23142652
A genome-wide scan for common variants affecting the rate of age-related cognitive decline.
De Jager PL, Shulman JM, Chibnik LB, Keenan BT, Raj T, Wilson RS, Yu L, Leurgans SE, Tran D, Aubin C, Anderson CD, Biffi A, Corneveaux JJ, Huentelman MJ; Alzheimer's Disease Neuroimaging Initiative, Rosand J, Daly MJ, Myers AJ, Reiman EM, Bennett DA, Evans DA
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De Jager PL, Shulman JM, Chibnik LB, Keenan BT, Raj T, Wilson RS, Yu L, Leurgans SE, Tran D, Aubin C, Anderson CD, Biffi A, Corneveaux JJ, Huentelman MJ; Alzheimer's Disease Neuroimagin...
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2012 Neurobiology of Aging, 33(5):1017.e1-1017.e15
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DOI: 10.1016/j.neurobiolaging.2011.09.033
A novel MRI-compatible brain ventricle phantom for validation of segmentation and volumetry methods Khan AF, Drozd JJ, Moreland RK, Ta RM, Borrie MJ, Bartha R, and the Alzheimer's Disease Neuroimaging Initiative 2012 Journal of Magnetic Resonance Imaging, 36(2):476-82 PMID: 22396226
DOI: 10.1002/jmri.23612
A two-study comparison of clinical and MRI markers of transition from mild cognitive impairment to Alzheimer's disease. Devanand DP, Liu X, Brown PJ, Huey ED, Stern Y, Pelton GH 2012 International Journal of Alzheimer's Disease, 2012:483469 PMID: 22482070
PMCID: PMC3296186
DOI: 10.1155/2012/483469
Amyloid deposition, hypometabolism, and longitudinal cognitive decline. Landau SM, Mintun MA, Joshi AD, Koeppe RA, Petersen RC, Aisen PS, Weiner MW, Jagust WJ, for the Alzheimer's Disease Neuroimaging Initiative 2012 Annals of Neurology, 72:578-586 PMID: 23109153
Amyloid pathway-based candidate gene analysis of [(11)C]PiB-PET in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort.
Swaminathan S, Shen L, Risacher SL, Yoker KK, West JD, Kim Sungeun, Nho K, Foroud T, Inlow M, Potkin SG, Huentelman MJ, Craig DW, Jagust WJ, Koeppe RA, Mathis CA, Jack CR Jr, Weiner MW, Sayking AJ, the Alzheimer's Disease Neuroimaging Initative (ADNI)
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Swaminathan S, Shen L, Risacher SL, Yoker KK, West JD, Kim Sungeun, Nho K, Foroud T, Inlow M, Potkin SG, Huentelman MJ, Craig DW, Jagust WJ, Koeppe RA, Mathis CA, Jack CR Jr, Weiner MW,...
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2012 Brain Imaging and Behavior, 6(1):1-15
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DOI: 10.1007/s11682-011-9136-1
Amyloid-beta--associated clinical decline occurs only in the presence of elevated P-tau Desikan RS, McEvoy LK, Thompson WK, Holland D, Brewer JB, Aisen PS, Sperling RA, Dale AM, for the Alzheimer's Disease Neuroimaging Initiative: 2012 Archives of Neurology, 69(6):709-713
Cited by 10
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DOI: 10.1001/archneurol.2011.3354
Analysis of copy number variation in Alzheimer's disease in a cohort of clinically characterized and neuropathologically verified individuals.
Swaminathan S, Huentelman MJ, Corneveaux JJ, Myers AJ, Faber KM, Foroud T, Mayeux R, Shen L, Kim S, Turk M, Hardy J, Reiman EM, Saykin AJ, for the Alzheimer's Disease Neuroimaging Initiative and the NIA-LOAD/NCRAD Family Study Group
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Swaminathan S, Huentelman MJ, Corneveaux JJ, Myers AJ, Faber KM, Foroud T, Mayeux R, Shen L, Kim S, Turk M, Hardy J, Reiman EM, Saykin AJ, for the Alzheimer's Disease Neuroimaging Initi...
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2012 PLOS One, 7(12): e50640 PMCID: PMC3515604
Anxiety is related to Alzheimer’s disease markers in cerebrospinal fluid of subjects with mild cognitive impairment.
Ramakers IH, Verhey FR, Scheltens P, Hampel H, Soininen H, Aalten P, Rikkert MO, Verbeek MM, Spiru L, Blennow K, Trojanowski JQ, Shaw LM, Visser PJ, The Alzheimer’s Disease Neuroimaging Initiative and DESCRIPA Investigators
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Ramakers IH, Verhey FR, Scheltens P, Hampel H, Soininen H, Aalten P, Rikkert MO, Verbeek MM, Spiru L, Blennow K, Trojanowski JQ, Shaw LM, Visser PJ, The Alzheimer’s Disease Neuroimagi...
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2012 Psychological Medicince, Epub ahead of print PMID: 22954311
DOI: 10.1017/S0033291712001870
Apolipoprotein E ?2 and functional decline in amnestic mild cognitive impairment and Alzheimer disease. Bonner-Jackson A, Okonkwo O, Tremont G, and the Alzheimer's Disease Neuroimaging Initiative American 2012 American Journal of Geriatric Psychiatry, 20(7):584-593
Cited by 2
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DOI: 10.1097/JGP.0b013e3182203c32
Application of the PredictAD software tool to predict progression in patients with mild cognitive impairment. Simonsen AH, Mattila J, Hejl AM, Frederiksen KS, Herukka SK, Hallikainen M, van Gils M, Lotjonen J, Soininen H, Waldemar G 2012 Dementia and Geriatric Cognitive Disordorders, 34:344-350 PMID: 23222123
Beta amyloid, tau, neuroimaging, and cognition: sequence modeling of biomarkers for Alzheimer's Disease. Han SD, Gruhl J, Beckett L, Dodge HH, Stricker NH, Farias S, Mungas D, for the Alzheimer’s Disease Neuroimaging Initiative 2012 Brain Imaging and Behavior, 6(4):610-620. PMID: 22648764
DOI: 10.1007/s11682-012-9177-0
Bioprofile analysis: a new approach for the analysis of biomedical data in Alzheimer's disease. Escudero J, Ifeachor E, Zajicek JP, Alzheimer’s Disease Neuroimaging Initiative. 2012 Journal of Alzheimer’s Disease, 32(4):997-1010 PMID: 22886027
DOI: 10.3233/JAD-2012-121024
Blood-based Protein Biomarkers for Diagnosis of Alzheimer's Disease.
Doecke JD, Laws SM, Faux NG, Wilson W, Burnham SC, Lam CP, Mondal A, Bedo J, Bush AI, Brown B, De Ruyck K, Ellis KA, Fowler C, Gupta VB, Head R, Macaulay SL,Pertile K, Rowe CC, Rembach A, Rodrigues M, Rumble R, Szoeke C, Taddei T, Trounson B, Ames D, Masters CL, Martins RN, for the Alzheimer's Disease Neuroimaging Initiative and Australian Imaging Biomarker and Lifestyle Research Group
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Doecke JD, Laws SM, Faux NG, Wilson W, Burnham SC, Lam CP, Mondal A, Bedo J, Bush AI, Brown B, De Ruyck K, Ellis KA, Fowler C, Gupta VB, Head R, Macaulay SL,Pertile K, Rowe CC, Rembach ...
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2012 Archives of Neurology, epub ahead of print
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DOI: 10.1001/archneurol.2012.1282
Body mass index is associated with biological CSF markers of core brain pathology of Alzheimer's disease.
Ewers M, Schmits S, Hansson O, Walsh C, Fitzpatrick A, Bennett D, Monthon L, Trojanowski JQ, Shaw LM, Faluyi YO, Vellas B, Dubois B, Blennow K, Buerger K, Tiepel SJ, Weiner M, Hampel H, Alzheimer's Disease Neuroimaging Initiative
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Ewers M, Schmits S, Hansson O, Walsh C, Fitzpatrick A, Bennett D, Monthon L, Trojanowski JQ, Shaw LM, Faluyi YO, Vellas B, Dubois B, Blennow K, Buerger K, Tiepel SJ, Weiner M, Hampel H,...
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2012 Neurobiology of Aging, 33(8):1599-608
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Brain size and the compensation of Alzheimer's disease symptoms: A longitudinal cohort study. Guo LH, Alexopoulos P, Wagenpfeil S, Kurz A, Perneczky R, Alzheimer's Disease Neuroimaging Initiative 2012 Alzheimer's & Dementia, epub ahead of print PMID: 23232272
Cerebrospinal fluid APOE levels: an endophenotype for genetic studies for Alzheimer's disease. Cruchaga C, Kauwe JS, Nowotny P, Bales K, Pickering EH, Mayo K, Bertelsen S, Hinrichs A; the Alzheimer's Disease Neuroimaging Initiative, Fagan AM, Holtzman DM, Morris JC, Goate AM. 2012 Human Molecular Genetics, 21(20):4558-4571
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DOI: 10.1093/hmg/dds296
CETP polymorphisms associate with brain structure, atrophy rate, and Alzheimer's disease risk in an APOE-dependent manner. Murphy EA, Roddey JC, McEvoy LK, Holland D, Hagler DJ Jr, Dale AM, Brewer JB 2012 Alzheimer's Disease Neuroimaging Initiative Brain Imaging Behavior, 6(1):16-26
Cited by 2
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Classification of structural MRI images in Alzheimer's disease from the perspective of ill-posed problems. Casanova R, Hsu FC; Mark A. Espeland, for the Alzheimer's Disease Neuroimaging Initiative 2012 PLoS One, 7(10):e44877 PMCID: PMC3468621
Coevoluation of brain structures in amnestic mild cognitive impairment. Carmichael O, McLaren DG, Tommet D, Mungas D, Jones RN, for the Alzheimer's Disease Neuroimaging Initiative 2012 NeuroImage, 66C:449-456 PMID: 23103689
Combining patient-level and summary-level data for Alzheimer's disease modeling and simulation: a beta regression meta-analysis. Rogers JA, Polhamus D, Gillespie WR, Ito K, Romero K, Qiu R, Stephenson D, Gastonguay MR, Corrigan B. 2012 Journal of Pharmacokinetics & Pharmacodynamics,39(5):479-98.
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DOI: 10.1007/s10928-012-9263-3
Combining structural brain changes improves the prediction of Alzheimer's disease and mild cognitive impairment. Zhang N, Song X, Zhang Y, Alzheimer's Disease Neuroimaging Initiative 2012 Dementia and Geriatric Cognitive Disorders, 33(5):318-326 PMID: 22759808
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Comparison of imaging biomarkers in the Alzheimer Disease Neuroimaging Initiative and the Mayo Clinic Study of Aging. Whitwell JL, Wiste HJ, Weigand SD, Rocca WA, Knopman DS, Roberts RO, Boeve BF, Petersen RC, Jack CR; Alzheimer Disease Neuroimaging Initiative. 2012 Archives of Neurology, 69 (5):614-622
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Comparison of imaging biomarkers in the Alzheimer disease neuroimaging initiative and the mayo clinic study of aging. Whitwell JL, Wiste HJ, Weigand SD, Rocca WA, Knopman DS, Roberts RO, Boeve BF, Petersen RC, Jack CR, Alzheimer Disease Neuroimaging Initiative 2012 Archives of Neurology, 69:614-622 PMID: 22782510
Consistent multi-time-point brain atrophy estimation from the boundary shift integral. Leung KK, Ridgway GR, Ourselin S, Fox NC; The Alzheimer's Disease Neuroimaging Initiative 2012 Neuroimage, 59(4):3995-4005
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Cortical signatures of cognition and their relationship to Alzheimer's disease. Gross AL, Manly JJ, Pa J, Johnson JK, Park LQ, Mitchell MB, Melrose RJ, Inouye SK, McLaren DG, for the Alzheimer’s Disease Neuroimaging Initiative 2012 Brain Imaging and Behavior, 6(4):584-598. PMID: 22718430
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CSF and brain structural imaging markers of the Alzheimer's pathological cascade. Yang X, Tan MZ, Qiu A, the Alzheimer's Disease Neuroimaging Initiative 2012 PLoS One, 7(12):e47406 PMCID: PMC3526616
CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer's pathological cascade. Stricker NH, Dodge HH, Dowling NM, Han SD, Erosheva EA, Jagust WJ; for the Alzheimer’s Disease Neuroimaging Initiative 2012 Brain imaging and behavior, 6(4):599-609. PMID: 22614327
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Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models. Shen KK, Fripp J, Mériaudeau F, Chételat G, Salvado O, Bourgeat P, The Alzheimer's Disease Neuroimaging Initiative 2012 Neuroimage, 59(3):2155-66
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Development and assessment of a composite score for memory in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Crane PK, Carle A, Gibbons LE, Insel P, Mackin RS, Gross A, Jones RN, Mukherjee S, Curtis SM, Harvey D, Weiner M, Mungas D, for the Alzheimer’s Disease Neuroimaging Initiative 2012 Brain Imaging and Behavior, 6(4):502-516.
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Discovery and replication of gene influences on brain structure using LASSO regression.
Kohannim O, Hibar DP, Stein JL, Jahanshad N, Hua X, Rajagopalan P, Toga AW, Jack CR Jr, Weiner MW, de Zubicaray GI, McMahon KL, Hansell NK, Martin NG, Wright MJ, Thompson PM, Alzheimer's Disease Neuroimaging Initiative
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Kohannim O, Hibar DP, Stein JL, Jahanshad N, Hua X, Rajagopalan P, Toga AW, Jack CR Jr, Weiner MW, de Zubicaray GI, McMahon KL, Hansell NK, Martin NG, Wright MJ, Thompson PM, Alzheimer'...
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2012 Frontiers in Neuroscience, 6:115 PMCID: PMC3412288
Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features Li Y, Wang Y, Wu G, Shi F, Zhou L, Lin W, Shen D; Alzheimer's Disease Neuroimaging Initiative 2012 Neurobiology of Aging, 33(2): 427, e15-30
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Dissociation between Brain Amyloid Deposition and Metabolism in Early Mild Cognitive Impairment. Wu L, Rowley J, Mohades S, Leuzy A, Dauar MT, Shin M, Fonov V, Jia J, Gauthier S, Rosa-Neto P, the Alzheimer’s Disease Neuroimaging Initiative 2012 PLoS One, 7(10):e47905 PMCID: PMC3480449
Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images. Chu C, Hsu AL, Chou KH, Bandettini P, Lin CP; for the Alzheimer's Disease Neuroimaging Initiative 2012 Neuroimage, 60(1):59-70
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Effect of Complement CR1 on Brain Amyloid Burden During Aging and Its Modification byAPOEGenotype.
Thambisetty M, An Y, Nalls M, Sojkova J, Swaminathan S, Zhou Y, Singleton AB, Wong DF, Ferrucci L, Saykin AJ, Resnick SM, for the Baltimore Longitudinal Study of Aging and the Alzheimer's Disease Neuroimaging Initiative
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Thambisetty M, An Y, Nalls M, Sojkova J, Swaminathan S, Zhou Y, Singleton AB, Wong DF, Ferrucci L, Saykin AJ, Resnick SM, for the Baltimore Longitudinal Study of Aging and the Alzheimer...
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2012 Biological Psychiatry, 73(5):422-8 PMID: 23022416
Effects of ApoE4 and maternal history of dementia on hippocampal atrophy. Andrawis JP, Hwang KS, Green AE, Kotlerman J, Elashoff D, Morra JH, Cummings JL, Toga AW, Thompson PM, Apostolova LG 2012 Neurobiology of Aging, 33(5):856-66
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Empirical derivation of the reference region for computing diagnostic sensitive ¹?fluorodeoxyglucose ratios in Alzheimer's disease based on the ADNI sample. Rasmussen JM, Lakatos A, van Erp TG, Kruggel F, Keator DB, Fallon JT, Macciardi F, Potkin SG, Alzheimer's Disease Neuroimaging Initiative. 2012 Biochimica et Biophysica acta, 1822(3):457-66
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Enriching Amnestic Mild Cognitive Impairment Populations for Clinical Trials: Optimal Combinatination of Biomarkers to Predict Conversion to Dementia. Peng Yu, Robert A.Dean, Stephen D.Hall, Yuan Qi, Gopalan Sethuraman, Brian A.Willis, Eric R.Siemers, Ferenc Martenyi, Johannes T.Tauscher, Adam J.Schwarz 2012 Journal of Alzheimer's Disease 32, 373-385 PMID: 22796873
Enrichment and stratification for predementia Alzheimer disease clinical trials. Holland D, McEvoy LK, Desikan RS, Dale AM, for the Alzheimer's Diseaes Neuroimaging Initiative 2012 PLoS One, 7(10):e47739 PMID: 23082203
Estimating sample sizes for predementia Alzheimer's trials based on the Alzheimer's Disease Neuroimaging Initiative. Grill JD, Di L, Lu PH, Lee C, Ringman J, Apostolova LG, Chow N, Kohannim O,Cummings JL, Thompson PL, Elashoff D, Alzheimer's Disease Neuroimaging Initiative 2012 Neurobiology of Aging, 34(1):62-72
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Evaluation of Plasma Proteomic Data for Alzheimer Disease State Classification and for the Prediction of Progression From Mild Cognitive Impairment to Alzheimer Disease. Llano DA, Devanarayan V, Simon AJ, The Alzheimer’s Disease Neuroimaging Initiative (ADNI) 2012 Alzheimer Disease and Associated Disorders, Epub ahead of print PMID: 23023094
DOI: 10.1097/WAD.0b013e31826d597a
Fast identification of biological pathways associated with a quantitative trait using group lasso with overlaps Silver M, Montana G, the Alzheiemer's Disease Neuroimaging Initiative 2012 Stat Appl Genet Mol Biol. 11(1):Article 7
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Feed-forward hierarchical model of the ventral visual stream applied to functional brain image classification Keator DB, Fallon JH, Lakatos A, Fowlkes CC, Potkin SG, Ihler A, for the Alzheimer's Disease Neuroimaging Initiative 2012 Human Brain Mapping, Epub ahead of print
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From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs. Wang H, Nie F, Huang H, Yan J, Kim S, Nho K, Risacher SL, Saykin AJ, Shen L, For the Alzheimer's Disease Neuroimaging Initiative 2012 Bioinformatics, 28(18):619-625. PMID: 22962490
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Frontolimbic atrophy is associated with agitation and aggression in mild cognitive impairment and Alzheimer's disease. Trzepacz PT, Yu P, Bhamidipati PK, Willis B, Forrester T, Tabas L, Schwarz AJ, Sayking AJ, for the Alzheimer's Disease Neuroimaging Initiative 2012 Alzheimer's and Dementia, epub ahead of print PMID: 23253778
Gender modulates the APOE ?4 effect in healthy older adults: convergent evidence from functional brain connectivity and spinal fluid tau levels Damoiseaux JS, Seeley WW, Zhou J, Shirer WR, Coppola G, Karydas A, Rosen HJ, Miller BL, Kramer JH, Greicius MD, Alzheimer's Disease Neuroimaging Initiative: 2012 The Journal of Neuroscience, 32:8254-8262 PMID: 22699906
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DOI: 10.1523/JNEUROSCI.0305-12.2012
Generating a Minimal Set of Templates for the Hippocampal Region in MR Neuroimages. Cataldo R, Agrusti A, De Nunzio G, Carlà A, De Mitri I, Favetta M, Quarta M, Monno L, Rei L, Fiorina E; the Alzheimer’s Disease Neuroimaging Initiative 2012 Journal of Neuroimaging, epub ahead of print PMID: 23157565
Genetic architecture of resilience of executive functioning.
Mukherjee S, Kim S, Gibbons LE, Nho K, Risacher SL, Glymour MM, Habeck C, Lee GL, Mormino E, Ertekin-Taner N, Montine TJ, Decarli C, Saykin AJ, Crane PK, for the Alzheimer's Disease Neuroimaging Initiative
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Mukherjee S, Kim S, Gibbons LE, Nho K, Risacher SL, Glymour MM, Habeck C, Lee GL, Mormino E, Ertekin-Taner N, Montine TJ, Decarli C, Saykin AJ, Crane PK, for the Alzheimer's Disease Neu...
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2012 Brain Imaging Behavior, 6:621-633 PMID: 22711244
Genetic variants in the fat and obesity associated (FTO) gene and risk of Alzheimer's disease. Reitz C, Tosto G, Mayeux R, Luchsinger JA, the NIA-LOAD/NCRAD Family Study Group and the Alzheimer's Disease Neuroimaging Initiative 2012 PLoS One, 7:e50354 PMCID: PMC3520931
Genetic, structural and functional imaging biomarkers for early detection of conversion from MCI to AD. Singh N, Wang AY, Sankaranarayanan P, Fletcher PT, Joshi S, Alzheimer's Disease Neuroimaging Initiative 2012 Medical Imaging Computing and Computer-Assisted Intervention, 15:132-140 PMID: 23285544
Genome-wide association analysis of age-at-onset in Alzheimer's disease.
Kamboh MI, Barmada MM, Demirci FY, Minster RL, Carrasquillo MM, Pankratz VS, Younkin SG, Saykin AJ; The Alzheimer's Disease Neuroimaging Initiative, Sweet RA, Feingold E, Dekosky ST, Lopez OL
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Kamboh MI, Barmada MM, Demirci FY, Minster RL, Carrasquillo MM, Pankratz VS, Younkin SG, Saykin AJ; The Alzheimer's Disease Neuroimaging Initiative, Sweet RA, Feingold E, Dekosky ST, Lo...
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2012 Molecular Psychiatry, 17(12):1340-6
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Genome-wide association identifies genetic variants associated with lentiform nucleus volume in N=1345 young and elderly subjects.
Hibar DP, Stein JL, Ryles AB, Kohannim O, Jahanshad N, Medland SE, Hansell NK, McMahon KL, deZubicaray GI, Montgomery GW, Martin NG, Wright MJ, Saykin AJ, Jack CR Jr, Weiner MW, Toga AW, Thompson PM, the Alzheimer's Disease Neuroimaging Initiative
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Hibar DP, Stein JL, Ryles AB, Kohannim O, Jahanshad N, Medland SE, Hansell NK, McMahon KL, deZubicaray GI, Montgomery GW, Martin NG, Wright MJ, Saykin AJ, Jack CR Jr, Weiner MW, Toga AW...
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2012 Brain Imaging and Behavior, 7(2):102-15 PMID: 22903471
Genome-wide association study of Alzheimer's disease.
Kamboh MI, Demirci FY, Wang X, Minster RL, Carrasquillo MM, Pankratz VS, Younkin SG, Saykin AJ; Alzheimer's Disease Neuroimaging Initiative, Jun G, Baldwin C, Logue MW, Buros J, Farrer L, Pericak-Vance MA, Haines JL, Sweet RA, Ganguli M, Feingold E, Dekosky ST, Lopez OL, Barmada MM
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2012 Translational Psychiatry, 2:e117
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Higher education is not associated with greater cortical thickness in brain areas related to literacy or intelligence in normal aging or mild cognitive impairment. Pillai JA, McEvoy LK, Hagler DJ Jr, Holland D, Dale AM, Salmon DP, Galasko D, Fennema-Notestine C, Alzheimer's Disease Neuroimaging Initiative 2012 Journal of Clinical and Experimental Neuropsychology, 34:925-935 PMCID: PMC3488147
Hippocampal Subregions are Differentially Affected in the Progression to Alzheimer's Disease. Greene SJ, Killiany RJ; The Alzheimer's Disease Neuroimaging Initiative 2012 Anatomical Record, 295(1):132-140
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Identification of cis- regulatory variation influencing protein abundance levels in human plasma.
Lourdusamy A, Newhouse S, Lunnon K, Proitsi P, Powell J, Hodges A, Nelson SK, Stewart A, Williams S, Kloszewska I, Mecocci P, Soininen H, Tsolaki M, Vellas B, Lovestone S; on behalf of the AddNeuroMed Consortium, Dobson R; the Alzheimer’s Disease Neuroimaging Initiative
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Lourdusamy A, Newhouse S, Lunnon K, Proitsi P, Powell J, Hodges A, Nelson SK, Stewart A, Williams S, Kloszewska I, Mecocci P, Soininen H, Tsolaki M, Vellas B, Lovestone S; on behalf of ...
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2012 Human molecular genetics, 21(16):3719-26 PMID: 22595970
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Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression. Silver M, Janousova E, Hua X, Thompson PM, Montana G, The Alzheimer's Disease Neuroimaging Initiative 2012 Neuroimage, 63(3):1681-1694 PMID: 22982105
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DOI: 10.1016/j.neuroimage.2012.08.002
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning. Wang H, Nie F, Huang H, Risacher SL, Saykin AJ, Shen L, the Alzheimer's Disease Neuroimaging Initiative 2012 Bioinformatics, 28(12):127-36
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Identifying quantitative trait loci via group-sparse multi-task regression and feature selection: An imaging genetics study of the ADNI cohort. Wang H, Nie F, Huang H, Kim S, Nho K, Risacher SL, Saykin AJ, Shen L, for the Alzheimer's Disease Neuroimaigng Initiative 2012 Bioinformatics, 28:229-237
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Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort. Wang H, Nie F, Huang H, Kim S, Nho K, Risacher SL, Sayking AJ, Shen L, for the Alzheimer's Disease Neuroimaigng Initiative 2012 Bioinformatics, 28(2):229-37
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Inclusion criteria provide heterogeneity in baseline profiles of patients with mild cognitive impairment: comparison of two prospective cohort studies. Kawashima S, Ito K, Kato T; the SEAD-J Study Group 2012 BMJ Open, 2(2):e000773 PMID: 22535791
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DOI: 10.1136/bmjopen-2011-000773
Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data. Cho Y, Seong JK, Jeong Y, Shin SY; for the Alzheimer's Disease Neuroimaging Initiative 2012 Neuroimage, 59(3):2217-2230
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ISOMAP induced manifold embedding and its application to Alzheimer's disease and mild cognitive impairment. Park H; the ADNI 2012 Neuroscience letters, 513(2):141-5 PMID: 22366258
DOI: 10.1016/j.neulet.2012.02.016
Localized hippocampus measures are associated with Alzheimer pathology and cognition independent of total hippocampal volume Carmichael O, Xie J, Fletcher E, Singh B, DeCarli C, Alzheimer's Disease Neuroimaging Initiative 2012 Neurobiology of Aging, 33(6):1124.e31-e41
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Longitudinal change in neuropsychological performance using latent growth models: a study of mild cognitive impairment. Johnson JK, Gross AL, Pa J, McLaren DG, Park LQ, Manly JJ, the Alzheimer's Disease Neuroimaging Initiative. 2012 Brain Imaging and Behavior, 6(4):540-550.
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Maternal Family History is Associated with Alzheimer's Disease Biomarkers. Honea RA, Vidoni ED, Swerdlow RH, Burns JM, ADNI 2012 Journal of Alzheimer’s Disease, 31(3):659-68
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Modeling of Functional Assessment Questionnaire (FAQ) as continuous bounded data from the ADNI database. Ito K, Hutmacher MM, Corrigan BW 2012 Journal of Pharmacokinetics and Pharmacodynamics, 39(6):601-18. PMID: 22990808
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Models of the aging brain structure and individual decline. Ziegler G, Dahnke R, Gaser C; The Alzheimer’s Disease Neuroimaging Initiative 2012 Fronteirs in Neuroinformatics, 6:3
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MRI cortical thickness biomarker predicts AD-like CSF and cognitive decline in normal adults. Dickerson BC, Wolk DA, the Alzheimer's Disease Neuroimaging Initiative 2012 Neurology, 78(2):84-90
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Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease. Gray KR, Wolz R, Heckemann RA, Aljabara P, Hammers A, Rueckert D; for the Alzheimer's Disease Neuroimaging Initiative 2012 Neuroimage, 60(1):221-229
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Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data. Yuan L, Wang Y, Thompson PM, Narayan VA, YeJ, for the Alzheimer's Disease Neuroimaging Initiative 2012 Neuroimage, 61(3):622-32 PMID: 22498655
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Multiple imputation of missing covariates with non-linear effects and interactions: An evaluation of statistical methods. Seaman SR, Bartlett JW, White IR 2012 BMC Medical Research Methodology, 12:46
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Multiple loci influencing hippocampal degeneration identified by genome scan.
Melville SA, Buros J, Parrado AR, Vardarajan B, Logue MW, Shen L, Risacher SL, Kim S, Jun G, DeCarli C, Lunetta KL, Baldwin CT, Saykin AJ, Farrer LA, Alzheimer's Disease Neuroimaging Initiative
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Melville SA, Buros J, Parrado AR, Vardarajan B, Logue MW, Shen L, Risacher SL, Kim S, Jun G, DeCarli C, Lunetta KL, Baldwin CT, Saykin AJ, Farrer LA, Alzheimer's Disease Neuroimaging In...
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2012 Annals of Neurology, 72:65-75 PMCID: PMC3405172
Multivariate protein signatures of pre-clinical Alzheimer's disease in the Alzheimer's disease neuroimaging initiative (ADNI) plasma proteome dataset. Johnstone D, Milward EA, Berretta R, Moscato P, the Alzheimer's Disease Neuroimaging Iniative 2012 PLoS One, 7(4):e34341
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Naming impairment in Alzheimer's disease is associated with left anterior temporal lobe atrophy. Domoto-Reilly K, Sapolsky D, Brickhouse M, Dickerson BC, for the Alzheimer's Disease Neuroimaging Initiative 2012 NeuroImage, 63:348-355 PMID: 22728617
DOI: 10.1016/j.neuroimage.2012.06.018
Neuropsychiatric symptoms and global functional impairment along the Alzheimer's continuum. Wadsworth LP, Lorius N, Donovan NJ, Locascio JJ, Rentz DM, Johnson KA, Sperling RA, Marshall GA, for the Alzheimer's Disease Neuroimaging Initiative 2012 Dementia and Geriatric Cognitive Disorders, 34:96-111
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NMF-SVM based CAD tool applied to functional brain images for the diagnosis of Alzheimer's disease. Padilla P, López M, Górriz JM, Ramírez J, Salas-González D, Álvarez I; Alzheimer’s Disease Neuroimaging Initiative. 2012 IEEE Trans Med Imaging, 31(2):207-16
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Nonlinear dimensionality reduction combining MR imaging with non-imaging information. Wolz R, Aljabar P, Hajnal JV, Lotjonen J, Rueckert D, The Alzheimer's Disease Neuroimaging Initiative. 2012 Medical Image Analysis, 16(4):819-30 PMID: 22244037
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Nonlinear time course of brain volume loss in cognitively normal and impaired elders Schuff N, Tosun D, Insel PS, Chiang GC, Truran D, Aisen PS, Jack CR, Weiner MW, the ADNI 2012 Neurobiology of Aging
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Parallel but not equivalent: challenges and solutions for repeated assessment of cognition over time. Gross AL, Inouye SK, Rehok GW, Brandt J, Crane PK, Parisi JM, Tommet D, Bandeen-Roche K, Carlson MC, Jones RN. 2012 Journal of Clinical and Experimental Neuropsychology, 34(7):758-772
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Pediatric Imaging, Neurocognition, and Genetics Study: Association of common genetic variants in GPCPD1 with scaling of visual cortical surface area in humans.
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