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1739 Total Publications

CSF beta-amyloid 1–42 – what are we measuring in Alzheimer’s disease?
Hu WT1, Watts KD2, Shaw LM3, Howell JC1, Trojanowski JQ3, Basra S2, Glass JD1, Lah JJ1, Levey AI1
PMID: 25750918 ; PMCID:4338954 ; 2014; Journal Ann Clin Transl Neurol. ; vol. 2; no. 2; pp. 131-9; doi:10.1002/acn3.160
Optimizing Brain Connectivity Networks for Disease Classification Using Epic
Prasad G1, Joshi SH2, Thompson PM1
PMID: 25405000 ; PMCID:4232940 ; 2014; Journal Proc IEEE Int Symp Biomed Imaging; vol. 2014; pp. 834-837; doi:10.1109/ISBI.2014.6868000
A commonly carried genetic variant in the delta opioid receptor gene, OPRD1, is associated with smaller regional brain volumes: replication in elderly and young populations
Roussotte, F. F., Jahanshad, N., Hibar, D. P., Sowell, E. R., Kohannim, O., Barysheva, M., … Thompson, P. M.
PMID: 23427138 ; PMCID:4046708 ; 2014; Journal Human Brain Mapping; vol. 35; no. 4; pp. 1226-36; doi:10.1002/hbm.22247
Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure
Warstadt NM1, Dennis EL1, Jahanshad N1, Kohannim O2, Nir TM1, McMahon KL3, de Zubicaray GI4, Montgomery GW5, Henders AK5, Martin NG5, Whitfield JB5, Jack CR Jr6, Bernstein MA6, Weiner MW7, Toga AW8, Wright MJ9, Thompson PM10; Alzheimer's Disease Neuroimaging Initiative (ADNI).
PMID: 24997672 ; PMCID:4198330 ; 2014; Journal Neurobiol Aging; vol. 35; no. 11; pp. 2504-2513; doi:10.1016/j.neurobiolaging.2014.05.024
Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification.
Wee, C.-Y., Yap, P.-T., Zhang, D., Wang, L., & Shen, D.
2014; Journal Brain Structure and Function; vol. 219; no. 2; pp. 641-56; doi:10.1007/s00429-013-0524-8
Shape abnormalities of subcortical and ventricular structures in mild cognitive impairment and Alzheimer’s disease: Detecting, quantifying, and predicting.
Tang, X., Holland, D., Dale, A. M., Younes, L., & Miller, M. I.
2014; Journal Human Brain Mapping; vol. 35; no. 8; pp. 3701-3725; doi:10.1002/hbm.22431
Alleles that increase risk for type 2 diabetes mellitus are not associated with increased risk for Alzheimer’s disease.
Proitsi, P., Lupton, M. K., Velayudhan, L., Hunter, G., Newhouse, S., Lin, K., … Powell, J. F.
2014; Journal Neurobiology of Aging; vol. 35; no. 12; pp. 2883.e3-2883.e10; doi:10.1016/j.neurobiolaging.2014.07.023
Tractography of the uncinate fasciculus and the posterior cingulate fasciculus in patients with mild cognitive impairment and Alzheimer disease.
Larroza, A., Moratal, D., D’Ocon Alcaniz, V., Arana, E., & por la Alzheimer’s Disease Neuroimaging, I.
2014; Journal Neurologia; vol. 29; no. 1; pp. 11-20; doi:10.1016/j.nrl.2013.02.002
Statistical normalization techniques for magnetic resonance imaging.
Shinohara, R. T., Sweeney, E. M., Goldsmith, J., Shiee, N., Mateen, F. J., Calabresi, P. a, … Crainiceanu, C. M.
2014; Journal Neuroimage: Clinical; vol. 6; pp. 9-19; doi:10.1016/j.nicl.2014.08.008
Regularized 3D functional regression for brain image data via Haar wavelets.
Wang, X., Nan, B., Zhu, J., & Koeppe, R.
2014; Journal Annals of Applied Statistics; vol. 8; no. 2; pp. 1045-1064; doi:10.1214/14-AOAS736