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2110 Total Publications

A Multi-Marker Genetic Association Test Based on the Rasch Model Applied to Alzheimer’s Disease
Wang W, Mandel J, Bouaziz J, Commenges D, Nabirotchkine S, Chumakov I, Cohen D, Guedj M; Alzheimer’s Disease Neuroimaging Initiative.
PMID: 26379234 ; PMCID:4574966 ; 2015; Journal PLoS One; vol. 10; no. 9; pp. e0138223; doi:10.1371/journal.pone.0138223
Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease
Lorenzi, M., Ayache, N., & Pennec, X.
PMID: 25963734 ; 2015; Journal Neuroimage; vol. 115; pp. 224-34; doi:10.1016/j.neuroimage.2015.04.051
Stroke risk interacts with Alzheimer’s disease biomarkers on brain aging outcomes
Hohman, T. J., Samuels, L. R., Liu, D., Gifford, K. A., Mukherjee, S., Benson, E. M., … Jefferson, A. L.
PMID: 26119224 ; PMCID:4523400 ; 2015; Journal Neurobiology of Aging; vol. 36; no. 9; pp. 2501-8; doi:10.1016/j.neurobiolaging.2015.05.021
A Novel Method for Early Diagnosis of Alzheimer’s Disease Based on Pseudo Zernike Moment from Structural MRI
Gorji, H. T., & Haddadnia, J.
PMID: 26265552 ; 2015; Journal Neuroscience; vol. 305; pp. 361-71; doi:10.1016/j.neuroscience.2015.08.013
Longitudinal gray-matter volume change in the default-mode network: utility of volume standardized with global gray-matter volume for Alzheimer’s disease: a preliminary study
Goto, M., Abe, O., Aoki, S., Hayashi, N., Ohtsu, H., Takao, H., … Ohtomo, K.
PMID: 25261344 ; 2015; Journal Radiological Physics and Technology; vol. 8; no. 1; pp. 64-72; doi:10.1007/s12194-014-0295-9
Combined Plasma and Cerebrospinal Fluid Signature for the Prediction of Midterm Progression From Mild Cognitive Impairment to Alzheimer Disease
B. Lehallier, L. Essioux, J. Gayan, R. Alexandridis, T. Nikolcheva, T. Wyss-Coray, M. Britschgi and I. Alzheimer's Disease Neuroimaging
PMID: 26659895 ; PMCID:5214993 ; 2015; Journal JAMA Neurol; vol. 73; no. 2; pp. 203-212; doi:10.1001/jamaneurol.2015.3135
2014 Update of the Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception
Weiner MW1, Veitch DP2, Aisen PS3, Beckett LA4, Cairns NJ5, Cedarbaum J6, Green RC7, Harvey D4, Jack CR8, Jagust W9, Luthman J10, Morris JC3, Petersen RC11, Saykin AJ12, Shaw L13, Shen L14, Schwarz A15, Toga AW16, Trojanowski JQ17; Alzheimer's Disease Neuroimaging Initiative.
PMID: 26073027 ; PMCID:5469297 ; 2015; Journal Alzheimers Dement; vol. 11; no. 6; pp. e1-120; doi:10.1016/j.jalz.2014.11.001
Changes in Thalamic Connectivity in the Early and Late Stages of Amnestic Mild Early and Late Stages of Amnestic Mild Cognitive Impairment: A Resting-State Functional Magnetic Resonance Study from ADNI
Cai, S., Huang, L., Zou, J., Jing, L., Zhai, B., Ji, G., … for the Alzheimer’s Disease Neuroimaging, I.
PMID: 25679386 ; PMCID:4332494 ; 2015; Journal PloS One; vol. 10; no. 2; pp. e0115573; doi:10.1371/journal.pone.0115573
Neuropathologic assessment of participants in two multi-center longitudinal observational studies: the Alzheimer Disease Neuroimaging Initiative (ADNI) and the Dominantly Inherited Alzheimer Network (DIAN)
Cairns, N. J., Perrin, R. J., Franklin, E. E., Carter, D., Vincent, B., Xie, M., … Morris, J. C.
PMID: 25964057 ; PMCID:4521391 ; 2015; Journal Neuropathology; vol. 35; no. 4; pp. 390-400; doi:10.1111/neup.12205
Equivalence of Kernel Machine Regression and Kernel Distance Covariance for Multidimensional Phenotype Association Studies
Hua WY, Ghosh D.
PMID: 25939365 ; 2015; Journal arXiv Prepr; vol. 71; no. 3; pp. 812-20; doi:10.1111/biom.12314