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Publications

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4453 Total Publications

Multimodal Discrimination of Alzheimer's Disease Based on Regional Cortical Atrophy and Hypometabolism
Yun, HJ, Kwak, K and Lee, JM
2015; Journal PLoS One; vol. 10; no. 6; pp. 0129250;

Resting-State Whole-Brain Functional Connectivity Networks for MCI Classification Using L2-Regularized Logistic Regression
Zhang, XW, Hu, B, Ma, X and Xu, LX
PMID: 25700453 ; 2015; Journal Ieee Transactions on Nanobioscience; vol. 14; no. 2; pp. 237-247;

Alzheimer‚Äôs Disease Neuroimaging Initiative 2 Clinical Core: Progress and plans.
Aisen, P. S., Petersen, R. C., Donohue, M., & Weiner, M. W.
PMID: 26194309 ; PMCID:4643840 ; 2015; Journal Alzheimer's and Dementia; vol. 11; no. 7; pp. 734-9;

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 and Apostolova, LG
2015; Journal AJNR Am J Neuroradiol; vol. 36; no. 4; pp. 653-60;

Single time point high-dimensional morphometry in Alzheimer‚Äôs disease: group statistics on longitudinally acquired data.
Duchesne S, Valdivia F, Mouiha A, Robitaille N.
PMID: 25444598 ; 2015; Journal Neurobiology of Aging; vol. 36; no. 1; pp. 11-22;

Genetic overlap between Alzheimer‚Äôs disease and Parkinson's disease at the MAPT locus.
Desikan, R. S., Schork, a J., Wang, Y., Witoelar, a, Sharma, M., McEvoy, L. K., ‚Ä¶ Dale, a M.
PMID: 25687773 ; PMCID:4539304 ; 2015; Journal Molecular Psychiatry; vol. 14; pp. 8;

Alzheimer'sdisease Neuroimaging Initiative1. Amygdalar atrophy in early Alzheimer's disease.
Klein-Koerkamp Y, Heckemann RA, Ramdeen KT, Moreaud O, Keignart S, Krainik A, Hammers A, Baciu M, Hot P;
2014; Journal Current Alzheimer's Research; vol. 11; no. 3; pp. 239-52;

Integration and relative value of biomarkers for prediction of MCI to AD progression: Spatial patterns of brain atrophy, cognitive scores, APOE genotype and CSF biomarkers.
Da, X., Toledo, J. B., Zee, J., Wolk, D. a., Xie, S. X., Ou, Y., … Davatzikos, C.
2014; Journal Neuroimage: Clinical; vol. 4; pp. 164-173; doi:10.1016/j.nicl.2013.11.010

Genetic variation modifies risk for neurodegeneration based on biomarker status.
Hohman, T. J., Koran, M. E. I., & Thornton-Wells, T. A
2014; Journal Frontiers in Aging Neuroscience; vol. 6; pp. 183; doi:10.3389/fnagi.2014.00183

Longitudinal analysis is more powerful than cross-sectional analysis in detecting genetic association with neuroimaging phenotypes.
Xu, Z., Shen, X., & Pan, W.
2014; Journal PloS One; vol. 9; no. 8; pp. e102312; doi:10.1371/journal.pone.0102312