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Publications

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2110 Total Publications

What are the Most Frequently Impaired Markers of Neurodegeneration in ADNI Subjects?
Andriuta D1, Moullart V2, Schraen S3, Devendeville A1,4, Meyer ME2, Godefroy O1; Alzheimer’s Disease Neuroimaging.
PMID: 26923012 ; 2016; Journal Journal of Alzheimer's Disease; vol. 51; no. 3; pp. 793-800; doi:10.3233/JAD-150829
The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism
E. Stage, T. Duran, S. L. Risacher, N. Goukasian, T. M. Do, J. D. West, H. Wilhalme, K. Nho, M. Phillips, D. Elashoff, A. J. Saykin and L. G. Apostolova
PMID: 28054028 ; PMCID:28054028 ; 2016; Journal Alzheimers Dement (Amst); vol. 5; pp. 53-66; doi:10.1016/j.dadm.2016.12.003
ADCOMS: a composite clinical outcome for prodromal Alzheimer’s disease trials
J. Wang, V. Logovinsky, S. B. Hendrix, S. H. Stanworth, C. Perdomo, L. Xu, S. Dhadda, I. Do, M. Rabe, J. Luthman, J. Cummings and A. Satlin
PMID: 27010616 ; PMCID:5013117 ; 2016; Journal J Neurol Neurosurg Psychiatry; vol. 87; no. 9; pp. 993-9; doi:10.1136/jnnp-2015-312383
Graph-guided joint prediction of class label and clinical scores for the Alzheimer’s disease
Yu G1, Liu Y1,2,3, Shen D4,5
PMID: 26476928 ; PMCID:26476928 ; 2016; Journal Brain Struct Funct; vol. 221; no. 7; pp. 3787-801; doi:10.1007/s00429-015-1132-6
Multistage Grading of Amnestic Mild Cognitive Impairment: The Associated Brain Gray Matter Volume and Cognitive Behavior Characterization
Yang C1, Sun X2, Tao W1, Li X1, Zhang J1, Jia J2, Chen K3, Zhang Z1
PMID: 28119601 ; PMCID:5222841 ; 2016; Journal Front Aging Neurosci.; vol. 8; pp. 332; doi:10.3389/fnagi.2016.00332
Using the Disease State Fingerprint Tool for Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease
M. A. Munoz-Ruiz, A. Hall, J. Mattila, J. Koikkalainen, S. K. Herukka, M. Husso, T. Hanninen, R. Vanninen, Y. Liu, M. Hallikainen, J. Lotjonen, A. M. Remes, I. Alafuzoff, H. Soininen and P. Hartikainen
PMID: 27703465 ; PMCID:5040932 ; 2016; Journal Dement Geriatr Cogn Dis Extra; vol. 6; no. 2; pp. 313-329; doi:10.1159/000447122
A dynamic tree-based registration could handle possible large deformations among MR brain images
P. Zhang, G. Wu, Y. Gao, P. T. Yap and D. Shen
PMCID:4930896 ; 2016; Journal Comput Med Imaging Graph; vol. 52; pp. 7-Jan; doi:10.1016/j.compmedimag.2016.04.005
Does serum uric acid act as a modulator of cerebrospinal fluid Alzheimer's disease biomarker related cognitive decline?
B. S. Ye, W. W. Lee, J. H. Ham, J. J. Lee, P. H. Lee and Y. H. Sohn
2016; Journal Eur J Neurol; vol. 23; no. 5; pp. 948-57; doi:10.1111/ene.12969
L2, p-norm and sample constraint based feature selection and classification for AD diagnosis
M. Zhang, Y. Yang, H. Zhang, F. Shen and D. Zhang
2016; Journal Neurocomputing; vol. 195; pp. 104-111; doi:10.1016/j.neucom.2015.08.111
Spatial Patterns of Longitudinal Gray Matter Change as Predictors of Concurrent Cognitive Decline in Amyloid Positive Healthy Subjects
M. A. Araque Caballero, S. Kloppel, M. Dichgans, M. Ewers and I. Alzheimer's Disease Neuroimaging
2016; Journal J Alzheimers Dis; vol. 55; no. 1; pp. 343-358; doi:10.3233/JAD-160327