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Publications

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1800 Total Publications

Effects of Change in FreeSurfer Version on Classification Accuracy of Patients With Alzheimer’s Disease and Mild Cognitive Impairment
J. L. Chepkoech, K. B. Walhovd, H. Grydeland, A. M. Fjell and I. Alzheimer's Disease Neuroimaging
PMID: 27018380 ; 2016; Journal Hum Brain Mapp; vol. 37; no. 5; pp. 1831-41; AWTYFhFidzjauPDbjhkn doi:10.1002/hbm.23139

Mapping the “What” and “Where” Visual Cortices and Their Atrophyin Alzheimer’s Disease: Combined Activation Likelihood Estimation with Voxel-Based Morphometry
Y. Deng, L. Shi, Y. Lei, P. Liang, K. Li, W. C. W. Chu, D. Wang and A. s. D. N. Initiative
PMID: 27445770 ; PMCID:4925679 ; 2016; Journal Frontiers in Human Neuroscience; vol. 10; pp. 333; AWTYEk81dzjauPDbjhkL doi:10.3389/fnhum.2016.00333

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; AWTX5LQ2MOwVf_qbJr1s 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; AWTX-r2FMOwVf_qbJr4N 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; AWTYK4UZwAl_G9zjEvam 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; AWTYIuKfwAl_G9zjEvZU 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; AWTX4BB4dzjauPDbjhi0 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; AWTX4BB4dzjauPDbjhi5 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; AWTYEk81dzjauPDbjhke 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; AWTYoUyLdzjauPDbjhpD doi:10.3389/fnagi.2016.00076