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4453 Total Publications

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
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
PMID: 27995065 ; PMCID:5153608 ; 2016; Journal Neuroimage Clin; vol. 12; pp. 990-1003; doi:10.1016/j.nicl.2016.05.004
Distinct brain networks underlie cognitive dysfunction in Parkinson and Alzheimer diseases.
P. J. Mattis, M. Niethammer, W. Sako, C. C. Tang, A. Nazem, M. L. Gordon, V. Brandt, V. Dhawan and D. Eidelberg
PMID: 27708130 ; PMCID:5100716 ; 2016; Journal Neurology; vol. 87; no. 18; pp. 1925-1933; doi:10.1212/WNL.0000000000003285
Cortical Amyloid Burden Differences Across Empirically-Derived Mild Cognitive Impairment Subtypes and Interaction with APOE ε4 Genotype
K. J. Bangen, A. L. Clark, M. Werhane, E. C. Edmonds, D. A. Nation, N. Evangelista, D. J. Libon, M. W. Bondi, L. Delano-Wood and I. Alzheimer's Disease Neuroimaging
PMID: 27031472 ; PMCID:4884141 ; 2016; Journal J Alzheimers Dis; vol. 52; no. 3; pp. 849-61; doi:10.3233/JAD-150900
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
PMID: 27933404 ; PMCID:5427165 ; 2016; Journal Acta Neuropathol; vol. 133; no. 6; pp. 955-966; doi:10.1007/s00401-016-1652-z
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
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
A nonparametric approach for mild cognitive impairment to AD conversion prediction: Results on longitudinal data
S. Minhas, A. Khanum, F. Riaz, A. Alvi and S. A. Khan
2016; Journal IEEE journal of biomedical and health informatics; vol. 21; no. 5; pp. 1403-1410; doi:10.1109/JBHI.2016.2608998
Polygenic risk of Alzheimer disease is associated with early- and late-life processes
E. C. Mormino, R. A. Sperling, A. J. Holmes, R. L. Buckner, P. L. De Jager, J. W. Smoller and M. R. Sabuncu
PMID: 27385740 ; PMCID:4970660 ; 2016; Journal Neurology; vol. 87; no. 5; pp. 481-8; doi:10.1212/wnl.0000000000002922
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