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2110 Total Publications

Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling
M. Deng, R. Yu, L. Wang, F. Shi, P. T. Yap, D. Shen and I. Alzheimer's Disease Neuroimaging
2016; Journal Med Phys; vol. 43; no. 12; pp. 6588-6597; doi:10.1118/1.4967487
The executive prominent/memory prominent spectrum in Alzheimer’s disease is highly heritable
J. Mez, S. Mukherjee, T. Thornton, D. W. Fardo, E. Trittschuh, S. Sutti, R. Sherva, J. S. Kauwe, A. C. Naj, G. W. Beecham, A. Gross, A. J. Saykin, R. C. Green, P. K. Crane, G. Executive Prominent Alzheimer's Disease, F. Risk, I. Alzheimer's Disease Neuroimaging and C. Alzheimer's Disease Genetics
PMID: 27103524 ; PMCID:4843522 ; 2016; Journal Neurobiol Aging; vol. 41; pp. 115-121; doi:10.1016/j.neurobiolaging.2016.02.015
Identify the Atrophy of Alzheimer’s Disease, Mild Cognitive Impairment and Normal Aging Using Morphometric MRI Analysis
X. Ma, Z. Li, B. Jing, H. Liu, D. Li, H. Li and I. Alzheimer's Disease Neuroimaging
PMID: 27803665 ; PMCID:5067377 ; 2016; Journal Front Aging Neurosci; vol. 8; pp. 243; doi:10.3389/fnagi.2016.00243
Synergistic interaction between amyloid and tau predicts the progression to dementia
T. A. Pascoal, S. Mathotaarachchi, M. Shin, A. L. Benedet, S. Mohades, S. Wang, T. Beaudry, M. S. Kang, J. P. Soucy, A. Labbe, S. Gauthier, P. Rosa-Neto and I. Alzheimer's Disease Neuroimaging
PMID: 28024995 ; 2016; Journal Alzheimers Dement; vol. 13; no. 6; pp. 644-653; doi:10.1016/j.jalz.2016.11.005
The C677T variant in MTHFR modulates associations between blood-based and cerebrospinal fluid biomarkers of neurodegeneration.
F. F. Roussotte, X. Hua, K. L. Narr, G. W. Small, P. M. Thompson and I. Alzheimer's Disease Neuroimaging
PMID: 28435933 ; PMCID:5395287 ; 2016; Journal Biol Psychiatry Cogn Neurosci Neuroimaging; vol. 2; no. 3; pp. 280-288; doi:10.1016/j.bpsc.2016.09.005
Smooth-Threshold Multivariate Genetic Prediction with Unbiased Model Selection
M. Ueki, G. Tamiya and I. Alzheimer's Disease Neuroimaging
PMCID:5849235 ; 2016; Journal Genet Epidemiol; vol. 40; no. 3; pp. 233-43; doi:10.1002/gepi.21958
Predicting individual brain functional connectivity using a Bayesian hierarchical model
T. Dai, Y. Guo and I. Alzheimer's Disease Neuroimaging
PMCID:5303638 ; 2016; Journal Neuroimage; vol. 147; pp. 772-787; doi:10.1016/j.neuroimage.2016.11.048
Conservation of Distinct Genetically-Mediated Human Cortical Pattern
Q. Peng, A. Schork, H. Bartsch, M. T. Lo, M. S. Panizzon, N. Pediatric Imaging, S. Genetics, I. Alzheimer's Disease Neuroimaging, L. T. Westlye, W. S. Kremen, T. L. Jernigan, S. Le Hellard, V. M. Steen, T. Espeseth, M. Huentelman, A. K. Haberg, I. Agartz, S. Djurovic, O. A. Andreassen, A. M. Dale, N. J. Schork and C. H. Chen
PMCID:4961377 ; 2016; Journal PLoS Genet; vol. 12; no. 7; pp. e1006143; doi:10.1371/journal.pgen.1006143
Cognitive reserve moderates the association between functional network anti-correlations and memory in MCI
N. Franzmeier, K. Buerger, S. Teipel, Y. Stern, M. Dichgans, M. Ewers and I. Alzheimer's Disease Neuroimaging
2016; Journal Neurobiol Aging; vol. 50; pp. 152-162; doi:10.1016/j.neurobiolaging.2016.11.013
Amyloid negativity in patients with clinically diagnosed Alzheimer disease and MCI
S. M. Landau, A. Horng, A. Fero, W. J. Jagust and I. Alzheimer's Disease Neuroimaging
PMCID:4831042 ; 2016; Journal Neurology; vol. 86; no. 15; pp. 1377-85; doi:10.1212/WNL.0000000000002576