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Publications

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3740 Total Publications

Staging Alzheimer’s Disease Risk by Sequencing Brain Function and Structure, Cerebrospinal Fluid, and Cognition Biomarkers
G. Chen, H. Shu, G. Chen, D. B. Ward, P. G. Antuono, Z. Zhang and S. Li
2016; Journal Journal of Alzheimer's Disease; vol. 54; no. 3; pp. 983-993; doi:10.3233/JAD-160537

Standardized Uptake Value Ratio-Independent Evaluation of Brain Amyloidosis
A. Chincarini, F. Sensi, L. Rei, I. Bossert, S. Morbelli, U. P. Guerra, G. Frisoni, A. Padovani, F. Nobili and I. Alzheimer's Disease Neuroimaging
2016; Journal J Alzheimers Dis; vol. 54; no. 4; pp. 1437-1457; doi:10.3233/JAD-160232

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits
Y. Deming, J. Xia, Y. Cai, J. Lord, J. L. Del-Aguila, M. V. Fernandez, D. Carrell, K. Black, J. Budde and S. M. Ma
2016; Journal Scientific reports; vol. 6; pp. 18092;

Topographical APOE ɛ4 Genotype Influence on Cerebral Metabolism in the Continuum of Alzheimer’s Disease: Amyloid Burden Adjusted Analysis
H. Seo, S. H. Kim, H. Park, S.-H. Kang and I. L. Choo
2016; Journal Journal of Alzheimer's Disease; vol. 54; no. 2; pp. 559-568; doi:10.3233/JAD-160395

Statistical shape analysis of subcortical structures using spectral matching
M. Shakeri, H. Lombaert, A. N. Datta, N. Oser, L. Letourneau-Guillon, L. V. Lapointe, F. Martin, D. Malfait, A. Tucholka, S. Lippe, S. Kadoury and I. Alzheimer's Disease Neuroimaging
2016; Journal Comput Med Imaging Graph; vol. 52; pp. 58-71; doi:10.1016/j.compmedimag.2016.03.001

White matter hyperintensities are more highly associated with preclinical Alzheimer's disease than imaging and cognitive markers of neurodegeneration
B. M. Kandel, B. B. Avants, J. C. Gee, C. T. McMillan, G. Erus, J. Doshi, C. Davatzikos and D. A. Wolk
PMID: 27489875 ; PMCID:4950175 ; 2016; Journal Alzheimers Dement (Amst); vol. 4; pp. 18-27; doi:10.1016/j.dadm.2016.03.001

Inverse probability weighting estimation of the volume under the ROC surface in the presence of verification bias.
Y. Zhang, T. A. Alonzo and I. Alzheimer's Disease Neuroimaging
PMID: 27338713 ; 2016; Journal Biom J; vol. 58; no. 6; pp. 1338-1356; doi:10.1002/bimj.201500225

The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism
E. Stage, T. Duran, S. L. Risacher, N. Goukasian, T. M. Do, J. D. West, H. Wilhalme, K. Nho, M. Phillips, D. Elashoff, A. J. Saykin and L. G. Apostolova
PMID: 28054028 ; PMCID:28054028 ; 2016; Journal Alzheimers Dement (Amst); vol. 5; pp. 53-66; doi:10.1016/j.dadm.2016.12.003

Apolipoprotein E (APOE) genotype has dissociable effects on memory and attentional–executive network function in Alzheimer’s disease
Wolk DA1, Das SR2, Mueller SG3, Weiner MW3, Yushkevich PA4; Alzheimer's Disease Neuroimaging Initiative.
PMID: 27836336 ; PMCID:5154888 ; 2016; Journal Neurobiol Aging; vol. 49; pp. 204-213; doi:10.1016/j.neurobiolaging.2016.09.011

COMPASS: A computational model to predict changes in MMSE scores 24-months after initial assessment of Alzheimer’s disease
F. Zhu, B. Panwar, H. H. Dodge, H. Li, B. M. Hampstead, R. L. Albin, H. L. Paulson and Y. Guan
PMID: 27703197 ; PMCID:5050516 ; 2016; Journal Sci Rep; vol. 6; pp. 34567; doi:10.1038/srep34567