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1800 Total Publications

Boosting brain connectome classification accuracy in Alzheimer’s disease using higher-order singular value decomposition
Zhan, L., Liu, Y., Wang, Y., Zhou, J., Jahanshad, N., Ye, J., & Thompson, P. M.
PMID: 26257601 ; PMCID:4513242 ; 2015; Journal Frontiers in Neuroscience; vol. 9; pp. 257; AWTYs7amwAl_G9zjEvfb doi:10.3389/fnins.2015.00257
Evaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool
Liang, Z., He, X., Ceritoglu, C., Tang, X., Li, Y., Kutten, K. S., … Faria, A. V.
PMID: 26208327 ; PMCID:4514626 ; 2015; Journal PloS One; vol. 10; no. 7; pp. e0133533; AWTYMRBqMOwVf_qbJr6E doi:10.1371/journal.pone.0133533
White matter signal abnormality quality differentiates mild cognitive impairment that converts to Alzheimer’s disease from nonconverters
Lindemer, E. R., Salat, D. H., Smith, E. E., Nguyen, K., Fischl, B., & Greve, D. N.
PMID: 26095760 ; PMCID:4523418 ; 2015; Journal Neurobiology of Aging; vol. 36; no. 9; pp. 2447-57; AWTYMRBqMOwVf_qbJr6L doi:10.1016/j.neurobiolaging.2015.05.011
Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer's Disease
Raj, A., LoCastro, E., Kuceyeski, A., Tosun, D., Relkin, N., & Weiner, M.
PMID: 25600871 ; PMCID:5747552 ; 2015; Journal Cell Reports; vol. 10; no. 3; pp. 359-369; AWTYkwj3dzjauPDbjhnb doi:10.1016/j.celrep.2014.12.034
Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans
Saykin, A. J., Shen, L., Yao, X., Kim, S., Nho, K., Risacher, S. L., … Weiner, M. W.
PMID: 26194313 ; PMCID:4510473 ; 2015; Journal Alzheimer's and Dementia; vol. 11; no. 7; pp. 792-814; AWTYlga6dzjauPDbjhn7 doi:10.1016/j.jalz.2015.05.009
The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data
Schmidt, M. E., Chiao, P., Klein, G., Matthews, D., Thurfjell, L., Cole, P. E., … Jagust, W.
PMID: 25457431 ; 2015; Journal Alzheimer's and Dementia; vol. 11; no. 9; pp. 1050-68; AWTYlga6dzjauPDbjhn- doi:10.1016/j.jalz.2014.09.004
The Alzheimer’s Disease Neuroimaging Initiative informatics core: A decade in review
Toga AW1, Crawford KL2.
PMID: 26194316 ; PMCID:4510464 ; 2015; Journal Alzheimers Dement; vol. 11; no. 7; pp. 832-9; AWTYmoe0dzjauPDbjhof doi:10.1016/j.jalz.2015.04.004
BrainPrint: A discriminative characterization of brain morphology
Wachinger, C., Golland, P., Kremen, W., Fischl, B., & Reuter, M.
PMID: 25613439 ; PMCID:4340729 ; 2015; Journal Neuroimage; vol. 109; pp. 232-248; AWTYnnPpwAl_G9zjEveo doi:10.1016/j.neuroimage.2015.01.032
Rich Club Analysis in the Alzheimer’s Disease Connectome Reveals a Relatively Undisturbed Structural Core Network
Daianu, M., Jahanshad, N., Nir, T. M., Jack, C. R., Weiner, M. W., Bernstein, M. a., & Thompson, P. M.
PMID: 26037224 ; PMCID:4504816 ; 2015; Journal Human Brain Mapping; vol. 36; no. 8; pp. 3087-103; AWTYEk81dzjauPDbjhj9 doi:10.1002/hbm.22830
Morphometric and Histologic Substrates of Cingulate Integrity in Elders with Exceptional Memory Capacity
Gefen, T., Peterson, M., Papastefan, S. T., Martersteck, A., Whitney, K., Rademaker, A., … Geula, C.
PMID: 25632151 ; PMCID:4308613 ; 2015; Journal Journal of Neuroscience; vol. 35; no. 4; pp. 1781-1791; AWTYG0yudzjauPDbjhlB doi:10.1523/JNEUROSCI.2998-14.2015