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Publications

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1736 Total Publications

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; 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; doi:10.1007/s11682-012-9177-0

Structural brain alterations before mild cognitive impairment in ADNI: validation of volume loss in a predefined antero-temporal region.
Smith, C. D., Andersen, A. H., & Gold, B. T.
2012; Journal Journal of Alzheimer's Disease; vol. 3; no. 3; pp. S49-58; doi:10.3233/JAD-2012-120157

Risk classification in mild cognitive impairment patients for developing Alzheimer’s disease.
Zhou, B., Nakatani, E., Teramukai, S., Nagai, Y., & Fukushima, M.
2012; Journal Journal of Alzheimer's Disease; vol. 30; no. 2; pp. 367-75; doi:10.3233/JAD-2012-112117

Identification of gene pathways implicated in Alzheimer’s disease using longitudinal imaging phenotypes with sparse regression.
Silver, M., Janousova, E., Hua, X., Thompson, P. M., & Montana, G.
2012; Journal Neuroimage; vol. 63; no. 3; pp. 1681-1694; doi:10.1016/j.neuroimage.2012.08.002

Resting state FDG-PET functional connectivity as an early biomarker of Alzheimer’s disease using conjoint univariate and independent component analyses.
Toussaint, P. J., Perlbarg, V., Bellec, P., Desarnaud, S., Lacomblez, L., Doyon, J., … Benali, H.
2012; Journal Neuroimage; vol. 63; no. 2; pp. 936-946; doi:10.1016/j.neuroimage.2012.03.091

Practical management of heterogeneous neuroimaging metadata by global neuroimaging data repositories.
Neu, S. C., Crawford, K. L., & Toga, A. W.
2012; Journal Frontiers in Neuroinformatics; vol. 6; pp. 8; doi:10.3389/fninf.2012.00008

Plasma proteomics for the identification of Alzheimer disease.
Guo, L.-H., Alexopoulos, P., Wagenpfeil, S., Kurz, A., & Perneczky, R.
2012; Journal Alzheimer's Disease and Associated Disorders; vol. 27; no. 4; pp. 337-42; doi:10.1097/WAD.0b013e31827b60d2

Metabolic brain covariant networks as revealed by FDG-PET with reference to resting-state fMRI networks.
Di, X., Biswal, B. B., & Alzheimer’s Disease Neuroimaging, I.
2012; Journal Brain Connect; vol. 2; no. 5; pp. 275-283; doi:10.1089/brain.2012.0086

A coding variant in CR1 interacts with APOE-ε4 to influence cognitive decline.
Keenan, B. T., Shulman, J. M., Chibnik, L. B., Raj, T., Tran, D., Sabuncu, M. R., … De Jager, P. L.
2012; Journal Human Molecular Genetics; vol. 21; no. 10; pp. 2377-2388; doi:10.1093/hmg/dds054