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Publications

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1736 Total Publications

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis
X. Zhu, H. I. Suk, L. Wang, S. W. Lee, D. Shen and I. Alzheimer's Disease Neuroimaging
PMID: 26674971 ; PMCID:4862945 ; 2015; Journal Med Image Anal; vol. 38; pp. 205-214; doi:10.1016/j.media.2015.10.008
APOE-by-sex interactions on brain structure and metabolism in healthy elderly controls
Sampedro F, Vilaplana E, Leon MJ de, et al.
PMID: 26397226 ; PMCID:4694943 ; 2015; Journal Oncotarget; vol. 6; no. 29; pp. 26663-74; doi:10.18632/oncotarget.5185
Soluble BACE-1 Activity and sAβPPβ Concentrations in Alzheimer's Disease and Age-Matched Healthy Control Cerebrospinal Fluid from the Alzheimer's Disease Neuroimaging Initiative-1 Baseline Cohort
Savage, M. J., Holder, D. J., Wu, G. X., Kaplow, J., Siuciak, J. A., & Potter, W. Z.
PMID: 25790831 ; 2015; Journal Journal of Alzheimer's Disease; vol. 46; no. 2; pp. 431-440; doi:10.3233/JAD-142778
Impact of the Alzheimer’s Disease Neuroimaging Initiative, 2004 to 2014
Weiner MW1, Veitch DP2, Aisen PS3, Beckett LA4, Cairns NJ5, Cedarbaum J6, Donohue MC7, Green RC8, Harvey D4, Jack CR Jr9, Jagust W10, Morris JC11, Petersen RC12, Saykin AJ13, Shaw L14, Thompson PM15, Toga AW16, Trojanowski JQ17; Alzheimer's Disease Neuroimaging Initiative.
PMID: 26194320 ; PMCID:4659407 ; 2015; Journal Alzheimers Dement; vol. 11; no. 7; pp. 865-84; doi:10.1016/j.jalz.2015.04.005
Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE
Ayton, S., Faux, N. G., & Bush, A. I.
PMID: 25988319 ; PMCID:4479012 ; 2015; Journal Nature Communications; vol. 6; pp. 6760; doi:10.1038/ncomms7760
A potential endophenotype for Alzheimer’s disease: cerebrospinal fluid clusterin
Y. Deming, J. Xia, Y. Cai, J. Lord, P. Holmans, S. Bertelsen, D. Holtzman, J. C. Morris, K. Bales, E. H. Pickering, J. Kauwe, A. Goate, C. Cruchaga and I. Alzheimer's Disease Neuroimaging
PMID: 26545630 ; PMCID:5118651 ; 2015; Journal Neurobiol Aging; vol. 37; pp. 208 e1-208 e9; doi:10.1016/j.neurobiolaging.2015.09.009
Depressive symptoms accelerate cognitive decline in amyloid-positive MCI patients
Brendel, M., Pogarell, O., Xiong, G., Delker, A., Bartenstein, P., & Rominger, A.
PMID: 25631614 ; PMCID:5849231 ; 2015; Journal European Journal of Nuclear Medicine and Molecular Imaging; vol. 42; no. 5; pp. 716-24; doi:10.1007/s00259-014-2975-4
Alzheimer's disease biomarkers as outcome measures for clinical trials in MCI
Caroli, A., Prestia, A., Wade, S., Kewei, C., Ayutyanont, N., Landau, S., … Initiative, for the A. D. N.
PMID: 25437302 ; PMCID:4437812 ; 2015; Journal Alzheimer's Disease and Associated Disorders; vol. 29; no. 2; pp. 101-109; doi:10.1097/WAD.0000000000000071
Improved Power for Characterizing Longitudinal Amyloid-b PET Changes and Evaluating Amyloid-Modifying Treatments with a Cerebral White Matter Reference Region
Chen K1, Roontiva A2, Thiyyagura P2, Lee W2, Liu X2, Ayutyanont N2, Protas H2, Luo JL2, Bauer R2, Reschke C2, Bandy D2, Koeppe RA3, Fleisher AS4, Caselli RJ5, Landau S6, Jagust WJ6, Weiner MW7, Reiman EM8; Alzheimer’s Disease Neuroimaging Initiative.
PMID: 25745091 ; 2015; Journal J Nucl Med; vol. 56; no. 4; pp. 560-6; doi:10.2967/jnumed.114.149732
Amyloid PET in European and North American cohorts; and exploring age as a limit to clinical use of amyloid imaging
Chiotis, K., Carter, S. F., Farid, K., Savitcheva, I., & Nordberg, A.
PMID: 26130168 ; PMCID:4521094 ; 2015; Journal European Journal of Nuclear Medicine and Molecular Imaging; vol. 42; no. 10; pp. 1492-506; doi:10.1007/s00259-015-3115-5