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3740 Total Publications

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

Linear and Curvilinear Trajectories of Cortical Loss with Advancing Age and Disease Duration in Parkinson’s Disease
D. O. Claassen, D. G. Dobolyi, D. A. Isaacs, O. C. Roman, J. Herb, S. A. Wylie, J. S. Neimat, M. J. Donahue, P. Hedera, D. H. Zald, B. A. Landman, A. B. Bowman, B. M. Dawant and S. Rane
PMID: 27330836 ; PMCID:4898918 ; 2016; Journal Aging Dis; vol. 7; no. 3; pp. 220-9; doi:10.14336/AD.2015.1110

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

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

Predicting individual brain functional connectivity using a Bayesian hierarchical model
T. Dai, Y. Guo and I. Alzheimer's Disease Neuroimaging
PMCID:5303638 ; 2016; Journal Neuroimage; vol. 147; pp. 772-787; doi:10.1016/j.neuroimage.2016.11.048

Conservation of Distinct Genetically-Mediated Human Cortical Pattern
Q. Peng, A. Schork, H. Bartsch, M. T. Lo, M. S. Panizzon, N. Pediatric Imaging, S. Genetics, I. Alzheimer's Disease Neuroimaging, L. T. Westlye, W. S. Kremen, T. L. Jernigan, S. Le Hellard, V. M. Steen, T. Espeseth, M. Huentelman, A. K. Haberg, I. Agartz, S. Djurovic, O. A. Andreassen, A. M. Dale, N. J. Schork and C. H. Chen
PMCID:4961377 ; 2016; Journal PLoS Genet; vol. 12; no. 7; pp. e1006143; doi:10.1371/journal.pgen.1006143