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Publications

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4453 Total Publications

Multimodal classification of Alzheimer's disease and mild cognitive impairment
Zhang, D., Wang, Y., Zhou, L., Yuan, H., & Shen, D.
PMID: 21236349 ; PMCID:3057360 ; 2011; Journal Neuroimage; vol. 55; no. 3; pp. 856-67; doi:10.1016/j.neuroimage.2011.01.008

Canonical feature selection for joint regression and multi-class identification in Alzheimer’s disease diagnosis
Zhu, X., Suk, H. I., Lee, S. W., & Shen, D.
PMID: 26254746 ; PMCID:4747862 ; 2011; Journal Brain Imaging and Behaviour; vol. 10; no. 3; pp. 818-28; doi:10.1007/s11682-015-9430-4

Statistical analysis of relative pose information of subcortical nuclei: Application on ADNI data
Bossa M1, Zacur E, Olmos S; Alzheimer's Disease Neuroimaging Initiative.
PMID: 21216295 ; PMCID:3554790 ; 2011; Journal Neuroimage; vol. 55; no. 3; pp. 999-1008; doi:10.1016/j.neuroimage.2010.12.078

Design Considerations for Characterizing Psychiatric Trajectories Across the Lifespan: Application to effects of APoe-ε4 on Cerebral Cortical Thickness in Alzheimer’s disease
Thompson, W. K., Hallmayer, J., & O’Hara, R.
PMID: 21724665 ; PMCID:5493321 ; 2011; Journal American Journal of Psychiatry; vol. 168; no. 9; pp. 894-903; doi:10.1176/appi.ajp.2011.10111690

Bias in tensor based morphometry Stat-ROI measures may result in unrealistic power estimates
hompson, W. K., & Holland, D.
PMID: 21349340 ; PMCID:3471806 ; 2011; Journal Neuroimage; vol. 57; no. 1; pp. 1-4; doi:10.1016/j.neuroimage.2010.11.092

Application of multidimensional scaling to quantify shape in Alzheimer’s disease and its correlation with Mini Mental State Examination: A feasibility study
Park, H., & Seo, J.
PMID: 21074558 ; 2011; Journal Journal of Neuroscience Methods; vol. 194; pp. 380-385; doi:10.1016/j.jneumeth.2010.10.019

A Blood-Based Screening Tool for Alzheimer's Disease That Spans Serum and Plasma: Findings from TARC and ADNI
O’Bryant, S. E., Xiao, G., Barber, R., Huebinger, R., Wilhelmsen, K., Edwards, M., … Diaz-Arrastia, R.
PMID: 22163278 ; PMCID:3233542 ; 2011; Journal PloS One; vol. 6; no. 12; pp. e28092; doi:10.1371/journal.pone.0028092

Longitudinal Change of Biomarkers in Cognitive Decline
Lo, R. Y., Hubbard, A. E., Shaw, L. M., Trojanowski, J. Q., Petersen, R. C., Aisen, P. S., … Jagust, W. J.
PMID: 21670386 ; PMCID:21670386 ; 2011; Journal JAMA Neurology; vol. 68; no. 10; pp. 1257-1266; doi:10.1001/archneurol.2011.123

Predicting MCI outcome with clinically available MRI and CSF biomarkers
Heister, D., Brewer, J. B., Magda, S., Blennow, K., & McEvoy, L. K.
PMID: 21998317 ; PMCID:3198979 ; 2011; Journal Neurology; vol. 77; no. 17; pp. 1913-1920; doi:10.1212/WNL.0b013e3182343314

Meta-analysis of genome-wide association studies for height and body mass index in ~700,000 individuals of European ancestry
Hu X1, Pickering E, Liu YC, Hall S, Fournier H, Katz E, Dechairo B, John S, Van Eerdewegh P, Soares H; Alzheimer's Disease Neuroimaging Initiative
PMID: 21390209 ; PMCID:3044719 ; 2011; Journal PLoS One; vol. 6; no. 2; doi:10.1371/journal.pone.0016616