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4453 Total Publications

Alzheimer’s Disease Risk Assessment Using Large-Scale Machine Learning Methods
Casanova, R., Hsu, F.-C., Sink, K. M., Rapp, S. R., Williamson, J. D., Resnick, S. M., & Espeland, M. a.
PMID: 24250789 ; PMCID:3826736 ; 2013; Journal PloS One; vol. 8; pp. e77949; doi:10.1371/journal.pone.0077949

GWAS of Cerebrospinal Fluid Tau Levels Identifies Risk Variants for Alzheimer’s Disease
Cruchaga, C., Kauwe, J. S. K., Harari, O., Jin, S. C., Cai, Y., Karch, C. M., … Goate, A. M.
PMID: 23562540 ; PMCID:3664945 ; 2013; Journal Neuron; vol. 78; no. 2; pp. 256-68; doi:10.1016/j.neuron.2013.02.026

Consistent 4D Brain Extraction of Serial Brain MR Images
Wang Y1, Li G2, Nie J2, Yap PT2, Guo L3, Shen D2.
PMID: 25089172 ; PMCID:4116794 ; 2013; Journal Proc SPIE Int Soc Opt Eng; doi:10.1117/12.2006651

Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus
Shi, J., Thompson, P. M., Gutman, B., & Wang, Y.
2013; Journal Neuroimage; vol. 78; pp. 111-134; doi:10.1016/j.neuroimage.2013.04.018

Brain development and aging: Overlapping and unique patterns of change.
Tamnes, C. K., Walhovd, K. B., Dale, A. M., Østby, Y., Grydeland, H., Richardson, G., … Fjell, A. M.
2013; Journal Neuroimage; vol. 68; no. 2013; pp. 63-74; doi:10.1016/j.neuroimage.2012.11.039

Glucose metabolism during resting state reveals abnormal brain networks organization in the Alzheimer’s disease and mild cognitive impairment.
Sanabria-Diaz, G., Martinez-Montes, E., Melie-Garcia, L., & Alzheimer’s Disease Neuroimaging, I.
2013; Journal PloS One; vol. 8; no. 7; pp. e68860; doi:10.1371/journal.pone.0068860

White matter hyperintensities and cerebral amyloidosis: Necessary and sufficient for clinical expression of Alzheimer’s disease?
Provenzano, F. A., Muraskin, J., Tosto, G., Narkhede, A., Wasserman, B. T., Griffith, E. Y., … Brickman, A. M.
PMID: 23420027 ; PMCID:4124641 ; 2013; Journal JAMA Neurology; vol. 70; no. 4; pp. 455-461; doi:10.1001/jamaneurol.2013.1321

Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth.
Murphy, K. R., Landau, S. M., Choudhury, K. R., Hostage, C. A., Shpanskaya, K. S., Sair, H. I., … Doraiswamy, P. M.
PMID: 23624169 ; PMCID:3749874 ; 2013; Journal Neuroimage; vol. 78; pp. 474-480; doi:10.1016/j.neuroimage.2013.04.048

Unbiased Tensor-Based Morphometry: Improved Robustness and Sample Size Estimates for Alzheimer's Disease Clinical Trials.
Hua, X., Hibar, D. P., Ching, C. R. K., Boyle, C. P., Rajagopalan, P., Gutman, B. A., … Thompson, P. M.
PMID: 23153970 ; PMCID:3785376 ; 2013; Journal Neuroimage; vol. 66; pp. 648-61; doi:10.1016/j.neuroimage.2012.10.086

Dissecting the Gene Dose-Effects of the APOE ε4 and ε2 Alleles on Hippocampal Volumes in Aging and Alzheimer’s Disease
Hostage, C. a, Roy Choudhury, K., Doraiswamy, P. M., & Petrella, J. R.
PMID: 23405083 ; PMCID:3566140 ; 2013; Journal PloS One; vol. 8; no. 2; pp. e54483; doi:10.1371/journal.pone.0054483