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1739 Total Publications

Visual rating and volumetric measurement of medial temporal atrophy in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort: baseline diagnosis and the prediction of MCI outcome
Varon, D., Barker, W., Loewenstein, D., Greig, M., Bohorquez, A., Santos, I., … Duara, R.
PMID: 24816477 ; 2014; Journal International Journal of Geriatric Psychiatry; pp. 192-200; doi:10.1002/gps.4126
Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure
Warstadt NM1, Dennis EL1, Jahanshad N1, Kohannim O2, Nir TM1, McMahon KL3, de Zubicaray GI4, Montgomery GW5, Henders AK5, Martin NG5, Whitfield JB5, Jack CR Jr6, Bernstein MA6, Weiner MW7, Toga AW8, Wright MJ9, Thompson PM10; Alzheimer's Disease Neuroimaging Initiative (ADNI).
PMID: 24997672 ; PMCID:4198330 ; 2014; Journal Neurobiol Aging; vol. 35; no. 11; pp. 2504-2513; doi:10.1016/j.neurobiolaging.2014.05.024
Genome-wide association study of monoamine metabolite levels in human cerebrospinal fluid
Kauwe JS1, Bailey MH1, Ridge PG1, Perry R1, Wadsworth ME1, Hoyt KL1, Staley LA1, Karch CM2, Harari O3, Cruchaga C2, Ainscough BJ4, Bales K5, Pickering EH5, Bertelsen S3; Alzheimer's Disease Neuroimaging Initiative, Fagan AM6, Holtzman DM7, Morris JC8, Goate AM9
PMID: 25340798 ; PMCID:4207667 ; 2014; Journal PLoS Genet.; vol. 10; no. 10; pp. e1004758; doi:10.1371/journal.pgen.1004758
Extension and refinement of the predictive value of different classes of markers in ADNI: four-year follow-up data
Gomar, J. J., Conejero-Goldberg, C., Davies, P., & Goldberg, T. E.
PMID: 24613706 ; PMCID:4416649 ; 2014; Journal Alzheimer's and Dementia; vol. 10; no. 6; pp. 704-12; doi:10.1016/j.jalz.2013.11.009
Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO
Guerrero, R., Wolz, R., Rao, a W., & Rueckert, D.
PMID: 24657351 ; 2014; Journal Neuroimage; vol. 94; pp. 275-86; doi:10.1016/j.neuroimage.2014.03.036
Defining Multivariate Normative Rules for Healthy Aging using Neuroimaging and Machine Learning: An Application to Alzheimer’s Disease
Andrade de Oliveira, A., Carthery-Goulart, M. T., Oliveira Júnior, P. P. D. M., Carrettiero, D. C., Sato, J. R., & Alzheimer’s Disease Neuroimaging Initative.
PMID: 25079801 ; 2014; Journal Journal of Alzheimer's Disease; vol. 43; no. 1; pp. 201-12; doi:10.3233/JAD-140189
Altered Amplitude of Low-Frequency Fluctuations in Early and Late Mild Cognitive Impariment and Alzheimer's Disease
P., L., J., X., H., L., Z., Q., K., L., Liang, P., … Li, K.
PMID: 24720892 ; 2014; Journal Current Alzheimer's Research; vol. 11; no. 4; pp. 389-98;
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis
Li, R., Zhang, W., Suk, H.-I., Wang, L., Li, J., Shen, D., & Ji, S.
PMID: 25320813 ; PMCID:4464771 ; 2014; Journal Medical Image Computing and Computer-Assisted Intervention; vol. 17; no. 3; pp. 305-12; doi:10.1007/978-3-319-10443-0
Functional Mixed Effects Models for Candidate Genetic Mapping in Imaging Genetic Studies
Lin, J.-A., Zhu, H., Mihye, A., Sun, W., & Ibrahim, J. G.
PMID: 25270690 ; PMCID:4187257 ; 2014; Journal Genetics Epidemiology; vol. 38; no. 8; pp. 680-91; doi:10.1002/gepi.21854