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Publications

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1739 Total Publications

Discriminative Learning for Alzheimer’s Disease Diagnosis via Canonical Correlation Analysis and Multimodal Fusion
B. Lei, S. Chen, D. Ni and T. Wang
PMID: 27242506 ; PMCID:4868852 ; 2016; Journal Front Aging Neurosci; vol. 8; pp. 77; doi:10.3389/fnagi.2016.00077

Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer’s Disease in Mild Cognitive Impairment
J. Zhang, J. Shi, C. Stonnington, Q. Li, B. A. Gutman, K. Chen, E. M. Reiman, R. J. Caselli, P. M. Thompson, J. Ye and Y. Wang
PMID: 28066843 ; PMCID:5217478 ; 2016; Journal Med Image Comput Comput Assist Interv; vol. 9900; pp. 326-334; doi:10.1007/978-3-319-46720-7_38

An Approach for Estimating Item Sensitivity to Within-Person Change Over Time: An Illustration Using the Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-Cog)
N. M. Dowling, D. M. Bolt and S. Deng
PMID: 27046272 ; PMCID:4959988 ; 2016; Journal Psychol Assess; vol. 28; no. 12; pp. 1576-1585; doi:10.1037/pas0000285

Cognitive variability—A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative
E. D. Anderson, M. Wahoske, M. Huber, D. Norton, Z. Li, R. L. Koscik, E. Umucu, S. C. Johnson, J. Jones, S. Asthana, C. E. Gleason and I. Alzheimer's Disease Neuroimaging
PMID: 27489880 ; PMCID:4961828 ; 2016; Journal Alzheimers Dement (Amst); vol. 4; pp. 47-55; doi:10.1016/j.dadm.2016.05.003

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

Prediction of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using MRI and Structural Network Features
R. Wei, C. Li, N. Fogelson and L. Li
PMID: 27148045 ; PMCID:4836149 ; 2016; Journal Frontiers in aging neuroscience; vol. 8; pp. 76; doi:10.3389/fnagi.2016.00076

Older adults taking AT1-receptor blockers exhibit reduced cerebral amyloid retention
D. A. Nation, J. Ho, B. Yew and I. Alzheimer's Disease Neuroimaging
PMID: 26757036 ; PMCID:5479679 ; 2016; Journal J Alzheimers Dis; vol. 50; no. 3; pp. 779-89; doi:10.3233/JAD-150487

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

Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification
C. Y. Wee, S. Yang, P. T. Yap, D. Shen and I. Alzheimer's Disease Neuroimaging
PMID: 26123390 ; PMCID:4692725 ; 2016; Journal Brain Imaging Behav; vol. 10; no. 2; pp. 342-56; doi:10.1007/s11682-015-9408-2

Prediction of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using MRI and Structural Network Features
R. Wei, C. Li, N. Fogelson and L. Li
PMID: 27148045 ; PMCID:4836149 ; 2016; Journal Frontiers in aging neuroscience; vol. 8; pp. 76; doi:10.3389/fnagi.2016.00076