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1800 Total Publications

Summary Metrics to Assess Alzheimer Disease–Related Hypometabolic Pattern with 18F-FDG PET: Head-to-Head Comparison
Caroli, a., Prestia, a., Chen, K., Ayutyanont, N., Landau, S. M., Madison, C. M., … Frisoni, G. B.
PMID: 22343502 ; PMCID:3640308 ; 2012; Journal Journal of Nuclear Medicine; vol. 53; no. 4; pp. 592-600; AWTX7-JeMOwVf_qbJr3V doi:10.2967/jnumed.111.094946
CETP polymorphisms associate with brain structure, atrophy rate, and Alzheimer’s disease risk in an APOE-dependent manner
Murphy, E. A., Roddey, J. C., McEvoy, L. K., Holland, D., Hagler, D. J., Dale, A. M., … Initiative, A. D. N.
PMID: 21892657 ; PMCID:4305449 ; 2012; Journal Brain Imaging and Behaviour; vol. 6; no. 1; pp. 16-26; AWTX7-JeMOwVf_qbJr3j doi:10.1007/s11682-011-9137-0
Superior Memory and Higher Cortical Volumes in Unusually Successful Cognitive Aging
Harrison, T. M., Weintraub, S., Mesulam, M.-M., & Rogalski, E.
PMID: 23158231 ; PMCID:3547607 ; 2012; Journal Journal of the International Neuropsychological Society; vol. 18; no. 6; pp. 1081-5; AWTYH9GudzjauPDbjhmV doi:10.1017/S1355617712000847
A large scale multivariate parallel ICA method reveals novel imaging–genetic relationships for Alzheimer's disease in the ADNI cohort
Meda, S. A., Narayanan, B., Liu, J., Perrone-Bizzozero, N. I., Stevens, M. C., Calhoun, V. D., … Pearlson, G. D.
PMID: 22245343 ; PMCID:3312985 ; 2012; Journal Neuroimage; vol. 60; no. 3; pp. 1608-1621; AWTYOJQNwAl_G9zjEvcE doi:10.1016/j.neuroimage.2011.12.076
Nonlinear dimensionality reduction combining MR imaging with non-imaging information.
Wolz, R., Aljabar, P., Hajnal, J. V., Lötjönen, J., & Rueckert, D.
PMID: 22244037 ; 2012; Journal Medical Image Analysis; vol. 16; no. 4; pp. 819-830; AWTYjQFywAl_G9zjEvcu doi:10.1016/j.media.2011.12.003
Multiple loci influencing hippocampal degeneration identified by genome scan.
Melville, S. A., Buros, J., Parrado, A. R., Vardarajan, B., Logue, M. W., Shen, L., … Alzheimer’s Disease Neuroimaging, I.
2012; Journal Annals of Neurology; vol. 72; no. 1; pp. 65-75; AWUROQifdzjauPDbjhpv doi:10.1002/ana.23644
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning.
Wang, H., Nie, F., Huang, H., Risacher, S. L., Saykin, A. J., & Shen, L.
2012; Journal Bioinformatics; vol. 28; no. 12; pp. 127-136; AWUROQifdzjauPDbjhpw doi:10.1093/bioinformatics/bts228
Beta amyloid, tau, neuroimaging, and cognition: sequence modeling of biomarkers for Alzheimer’s Disease.
Han, S. D., Gruhl, J., Beckett, L., Dodge, H. H., Stricker, N. H., Farias, S., & Mungas, D.
2012; Journal Brain Imaging and Behaviour; vol. 6; no. 4; pp. 610-20; AWUROQifdzjauPDbjhpy doi:10.1007/s11682-012-9177-0
Fast identification of biological pathways associated with a quantitative trait using group lasso with overlaps
Silver, M., Montana, G., & Alzheimer’s Disease Neuroimaging, I.
2012; Journal Stat Appl Genet Mol Biol; vol. 11; no. 1; pp. Article 7; AWURO74rdzjauPDbjhqA doi:10.2202/1544-6115.1755