3911 Total Publications
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
Genetic Variation and Neuroimaging Measures in Alzheimer Disease
Biffi, A., Anderson, C. D., Desikan, R. S., Sabuncu, M., Cortellini, L., Schmansky, N., … Rosand, J.
PMID: 20558387
;
PMCID:2956757
; 2010; Journal JAMA Neurology; vol. 67; no. 6; pp. 677-385;
doi:10.1001/archneurol.2010.108
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
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