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3740 Total Publications

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
Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer’s disease dementia
Arbizu, J., Prieto, E., Martínez-Lage, P., Martí-Climent, J. M., García-Granero, M., Lamet, I., … Weiner, M. W.
PMID: 23715905 ; 2013; Journal European Journal of Nuclear Medicine and Molecular Imaging; vol. 40; no. 9; pp. 1394-1405; doi:10.1007/s00259-013-2458-z
Generative FDG-PET and MRI model of aging and disease progression in Alzheimer’s disease.
Dukart, J., Kherif, F., Mueller, K., Adaszewski, S., Schroeter, M. L., Frackowiak, R. S. J., & Draganski, B.
2013; Journal PLoS Computational Biology; vol. 9; no. 4; pp. e1002987; doi:10.1371/journal.pcbi.1002987
Advanced Psychometric Analysis and the Alzheimer’s Disease Neuroimaging Initiative:Reports from the 2011 Friday Harbor Conference
Mungas D1, Crane PK, Gibbons LE, Manly JJ, Glymour MM, Jones RN
PMID: 23232798 ; PMCID:3532555 ; 2012; Journal Brain Imaging Behav; vol. 6; no. 4; pp. 485-8; doi:10.1007/s11682-012-9211-2
Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images
Chu, C., Hsu, A. L., Chou, K. H., Bandettini, P., & Lin, C.
PMID: 22166797 ; 2012; Journal Neuroimage; vol. 60; no. 1; pp. 59-70; doi:10.1016/j.neuroimage.2011.11.066
CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade
Yang, X., Tan, M. Z., & Qiu, A.
PMID: 23284610 ; PMCID:3526616 ; 2012; Journal PloS One; vol. 7; no. 12; pp. e47406; doi:10.1371/journal.pone.0047406
Comparison of Imaging Biomarkers in the Alzheimer Disease Neuroimaging Initiative and the Mayo Clinic Study of Aging
Whitwell, J. L., Wiste, H. J., Weigand, S. D., Rocca, W. A., Knopman, D. S., Roberts, R. O., … Jack, C. R.
PMID: 22782510 ; PMCID:3569033 ; 2012; Journal JAMA Neurology; vol. 69; no. 5; pp. 614-22; doi:10.1001/archneurol.2011.3029