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1800 Total Publications

Emerging β-Amyloid Pathology and Accelerated Cortical Atrophy
Mattsson, N., Insel, P. S., Nosheny, R., Tosun, D., Trojanowski, J. Q., Shaw, L. M., … Weiner, M. W.
PMID: 24781145 ; PMCID:4410966 ; 2014; Journal JAMA Neurology; vol. 94121; pp. 1-10; AWTYNIDFwAl_G9zjEvba doi:10.1001/jamaneurol.2014.446
Cerebrospinal Fluid b-Amyloid and Phospho-Tau Biomarker Interactions Affecting Brain Structure in Preclinical Alzheimer Disease
Fortea, J., Vilaplana, E., Alcolea, D., Carmona-Iragui, M., Sánchez-Saudinos, M. B., Sala, I., … Lleó, A.
PMID: 24852682 ; 2014; Journal Annals of Neurology; vol. 76; no. 2; pp. 223-30; AWTYGAtkMOwVf_qbJr4q doi:10.1002/ana.24186
Association between NME8 Locus Polymorphism and Cognitive Decline, Cerebrospinal Fluid and Neuroimaging Biomarkers in Alzheimer’s Disease
Liu, Y., Yu, J.-T., Wang, H.-F., Hao, X.-K., Yang, Y.-F., Jiang, T., … Tan, L.
PMID: 25486118 ; PMCID:4259473 ; 2014; Journal PloS One; vol. 9; pp. e114777; AWTYL1dIdzjauPDbjhnB doi:10.1371/journal.pone.0114777
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; AWTYIuKfwAl_G9zjEvY_ 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; AWTYkYsdwAl_G9zjEvdE 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; AWTYk_61wAl_G9zjEvdX 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; AWTYnnPpwAl_G9zjEve3 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; AWUVKtlhdzjauPDbjhra 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; AWUVKtlhdzjauPDbjhrc 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; AWUVKtlhdzjauPDbjhrg doi:10.1016/j.neurobiolaging.2014.07.023