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1739 Total Publications

Brain beta-amyloid measures and magnetic resonance imaging atrophy both predict time-to-progression from mild cognitive impairment to Alzheimer’s disease
Jack, C. R., Wiste, H. J., Vemuri, P., Weigand, S. D., Senjem, M. L., Zeng, G., … Knopman, D. S.
PMID: 20935035 ; PMCID:2965425 ; 2010; Journal Brain; vol. 133; no. 11; pp. 3336-3348; doi:10.1093/brain/awq277
Meta-Analysis confirms CR1, CLU, and PICALM as Alzheimer’s disease risk loci and reveals interactions with APOE genotypes
un, G., Naj, A. C., Beecham, G. W., Wang, L.-S., Buros, J., Gallins, P. J., … Schellenberg, G. D.
PMID: 20697030 ; PMCID:3048805 ; 2010; Journal JAMA Neurology; vol. 67; no. 12; pp. 1473-84; doi:10.1001/archneurol.2010.201
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation
Huang, S., Li, J., Sun, L., Ye, J., Fleisher, A., Wu, T., … Reiman, E.
PMID: 20079441 ; PMCID:3068623 ; 2010; Journal Neuroimage; vol. 50; no. 3; pp. 935-949; doi:10.1016/j.neuroimage.2009.12.120
Executive function and instrumental activities of daily living in MCI and AD
Marshall GA1, Rentz DM, Frey MT, Locascio JJ, Johnson KA, Sperling RA; Alzheimer's Disease Neuroimaging Initiative
PMID: 21575871 ; PMCID:3096844 ; 2010; Journal Alzheimers Dementia; vol. 7; no. 3; pp. 300-8; doi:10.1016/j.jalz.2010.04.005
Neuroimaging to assess safety and efficacy of AD therapies
Hill D1
PMID: 19947893 ; 2010; Journal Expert Opin Investig Drugs; vol. 19; no. 1; pp. 23-6.; doi: 10.1517/13543780903381320
Voxelwise genome-wide association study (vGWAS)
Stein, J. L., Hua, X., Lee, S., Ho, A. J., Leow, A. D., Toga, A. W., … Thompson, P. M.
PMID: 20171287 ; PMCID:2900429 ; 2010; Journal Neuroimage; vol. 53; no. 3; pp. 1160-1174; doi:10.1016/j.neuroimage.2010.02.032
Genome-Wide Analysis Reveals Novel Genes Influencing Temporal Lobe Structure with Relevance to Neurodegeneration in Alzheimer’s Disease
Stein, J. L., Hua, X., Morra, J. H., Lee, S., Hibar, D. P., Ho, A. J., … Thompson, P. M.
PMID: 20197096 ; PMCID:2856746 ; 2010; Journal Neuroimage; vol. 51; no. 2; pp. 542-54; doi:10.1016/j.neuroimage.2010.02.068
Subtypes based on cerebrospinal fluid and magnetic resonance imaging markers in normal elderly predict cognitive decline
Nettiksimmons, J., Harvey, D., Brewer, J., Carmichael, O., DeCarli, C., Jack, C. R., … Beckett, L.
PMID: 20542598 ; PMCID:2902683 ; 2010; Journal Neurobiology of Aging; vol. 31; no. 8; pp. 1419-28; doi:10.1016/j.neurobiolaging.2010.04.025