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1800 Total Publications

A Functional Varying-Coefficient Single-Index Model for Functional Response Data
J. Li, C. Huang and H. Zhu
PMID: 29200540 ; PMCID:5710774 ; 2017; Journal Journal of the American Statistical Association; vol. 112; no. 519; pp. 1169-1181; AWTX4BB4dzjauPDbjhiQ doi:10.1080/01621459.2016.1195742
Adaptive Testing of SNP-Brain Functional Connectivity Association via a Modular Network Analysis
C. Gao, J. Kim and W. Pan
PMID: 27896962 ; PMCID:5147491 ; 2017; Journal Pac Symp Biocomput; vol. 22; pp. 58-69; AWTYHKVzdzjauPDbjhlw
Biomarkers and Functional Decline in Prodromal Alzheimer's Disease.
C. Robb, C. Udeh-Momoh, S. Wagenpfeil, J. Schope, P. Alexopoulos, R. Perneczky and I. Alzheimer's Disease Neuroimaging
PMID: 28372331 ; 2017; Journal J Alzheimers Dis; vol. 58; no. 1; pp. 69-78; AWTX50iGMOwVf_qbJr3C doi:10.3233/JAD-161162
The prevalence and biomarkers’ characteristic of rapidly progressive Alzheimer’s disease from the Alzheimer’s Disease Neuroimaging Initiative database
M. Ba, X. Li, K. P. Ng, T. A. Pascoal, S. Mathotaarachchi, P. Rosa-Neto, S. Gauthier and I. Alzheimer's Disease Neuroimaging
PMID: 29067322 ; PMCID:5651370 ; 2017; Journal Alzheimers Dement (N Y); vol. 3; no. 1; pp. 107-113; AWTX5LQ2MOwVf_qbJr1q doi:10.1016/j.trci.2016.12.005
Biomarkers and Functional Decline in Prodromal Alzheimer's Disease.
C. Robb, C. Udeh-Momoh, S. Wagenpfeil, J. Schope, P. Alexopoulos, R. Perneczky and I. Alzheimer's Disease Neuroimaging
PMID: 28372331 ; 2017; Journal J Alzheimers Dis; vol. 58; no. 1; pp. 69-78; AWTX5LQ2MOwVf_qbJr2G doi:10.3233/JAD-161162
Autotaxin is Related to Metabolic Dysfunction and Predicts Alzheimer’s Disease Outcomes
K. E. McLimans, A. A. Willette and I. Alzheimer's Disease Neuroimaging
PMID: 27911319 ; PMCID:5654316 ; 2017; Journal J Alzheimers Dis; vol. 56; no. 1; pp. 403-413; AWTX4SQCwAl_G9zjEvXK doi:10.3233/JAD-160891
A Comparison of Accelerated and Non-accelerated MRI Scans for Brain Volume and Boundary Shift Integral Measures of Volume Change: Evidence from the ADNI Dataset
E. N. Manning, K. K. Leung, J. M. Nicholas, I. B. Malone, M. J. Cardoso, J. M. Schott, N. C. Fox, J. Barnes and I. Alzheimer's Disease Neuroimaging
PMCID:5443885 ; 2017; Journal Neuroinformatics; vol. 15; no. 2; pp. 215-226; AWTYNIDFwAl_G9zjEvbJ doi:10.1007/s12021-017-9326-0
Deep ensemble learning of sparse regression models for brain disease diagnosis
H. I. Suk, S. W. Lee, D. Shen and I. Alzheimer's Disease Neuroimaging
PMCID:5808465 ; 2017; Journal Med Image Anal; vol. 37; pp. 101-113; AWUWyMh1dzjauPDbjhtk doi:10.1016/j.media.2017.01.008
Ventricular and Periventricular Anomalies in the Aging and Cognitively Impaired Brain
K. L. Todd, T. Brighton, E. S. Norton, S. Schick, W. Elkins, O. Pletnikova, R. H. Fortinsky, J. C. Troncoso, P. J. Molfese, S. M. Resnick, J. C. Conover and I. Alzheimer's Disease Neuroimaging
PMCID:5771258 ; 2017; Journal Front Aging Neurosci; vol. 9; pp. 445; AWUWyMh1dzjauPDbjhtm doi:10.3389/fnagi.2017.00445
Genome-wide association study identifies MAPT locus influencing human plasma tau levels
J. Chen, J. T. Yu, K. Wojta, H. F. Wang, H. Zetterberg, K. Blennow, J. S. Yokoyama, M. W. Weiner, J. H. Kramer, H. Rosen, B. L. Miller, G. Coppola, A. L. Boxer and I. Alzheimer's Disease Neuroimaging
PMID: 28100725 ; PMCID:5317386 ; 2017; Journal Neurology; vol. 88; no. 7; pp. 669-676; AWTYG0yudzjauPDbjhlL doi:10.1212/WNL.0000000000003615