Publications

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5586 Total Publications

Year Title Author Journal
2016 Smooth-Threshold Multivariate Genetic Prediction with Unbiased Model Selection M. Ueki, G. Tamiya and I. Alzheimer's Disease Neuroimaging Journal Genet Epidemiol;
2016 Predicting individual brain functional connectivity using a Bayesian hierarchical model T. Dai, Y. Guo and I. Alzheimer's Disease Neuroimaging Journal Neuroimage;
2016 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 Journal PLoS Genet;
2016 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 Journal Biol Psychiatry Cogn Neurosci Neuroimaging;
2016 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 Journal Neurobiol Aging;
2016 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 Journal Front Aging Neurosci;
2016 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 Journal Alzheimers Dement;
2016 Classification of amyloid status using machine learning with histograms of oriented 3D gradients L. Cattell, G. Platsch, R. Pfeiffer, J. Declerck, J. A. Schnabel, C. Hutton and I. Alzheimer's Disease Neuroimaging Journal Neuroimage Clin;
2016 Genome‑wide, high‑content siRNA screening identifies the Alzheimer’s genetic risk factor FERMT2 as a major modulator of APP metabolism J. Chapuis, A. Flaig, B. Grenier-Boley, F. Eysert, V. Pottiez, G. Deloison, A. Vandeputte, A. M. Ayral, T. Mendes, S. Desai, A. M. Goate, J. S. K. Kauwe, F. Leroux, A. Herledan, F. Demiautte, C. Bauer, F. Checler, R. C. Petersen, K. Blennow, H. Zetterberg, L. Minthon, V. M. Van Deerlin, V. M. Lee, L. M. Shaw, J. Q. Trojanowski, M. Albert, A. Moghekar, R. O'Brien, E. R. Peskind, N. Malmanche, G. D. Schellenberg, P. Dourlen, O. R. Song, C. Cruchaga, P. Amouyel, B. Deprez, P. Brodin, J. C. Lambert and A. s. D. N. I. Adgc Journal Acta Neuropathol;
2016 Alzheimer’s disease severity, objectively determined and measured A. L. Gross, D. M. Mungas, J. S. Leoutsakos, M. S. Albert and R. N. Jones Journal Alzheimers Dement (Amst);
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