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Publications

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2110 Total Publications

Staging Alzheimer’s Disease Risk by Sequencing Brain Function and Structure, Cerebrospinal Fluid, and Cognition Biomarkers
G. Chen, H. Shu, G. Chen, D. B. Ward, P. G. Antuono, Z. Zhang and S. Li
2016; Journal Journal of Alzheimer's Disease; vol. 54; no. 3; pp. 983-993; doi:10.3233/JAD-160537
Standardized Uptake Value Ratio-Independent Evaluation of Brain Amyloidosis
A. Chincarini, F. Sensi, L. Rei, I. Bossert, S. Morbelli, U. P. Guerra, G. Frisoni, A. Padovani, F. Nobili and I. Alzheimer's Disease Neuroimaging
2016; Journal J Alzheimers Dis; vol. 54; no. 4; pp. 1437-1457; doi:10.3233/JAD-160232
Gradient nonlinearity calibration and correction for a compact, asymmetric magnetic resonance imaging gradient system
S. Tao, J. D. Trzasko, J. L. Gunter, P. T. Weavers, Y. Shu, J. Huston, S. K. Lee, E. T. Tan and M. A. Bernstein
PMCID:5257336 ; 2016; Journal Phys Med Biol; vol. 62; no. 2; pp. N18-N31; doi:10.1088/1361-6560/aa524f
Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits
Y. Deming, J. Xia, Y. Cai, J. Lord, J. L. Del-Aguila, M. V. Fernandez, D. Carrell, K. Black, J. Budde and S. M. Ma
2016; Journal Scientific reports; vol. 6; pp. 18092;
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; doi:10.3389/fnhum.2016.00333
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
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; doi:10.1002/hbm.23139
Active Cigarette Smoking in Cognitively-Normal Elders and Probable Alzheimer's Disease is Associated with Elevated Cerebrospinal Fluid Oxidative Stress Biomarkers
T. C. Durazzo, M. Korecka, J. Q. Trojanowski, M. W. Weiner, O. H. R, J. W. Ashford, L. M. Shaw and I. Alzheimer's Disease Neuroimaging
PMID: 27472882 ; PMCID:5127393 ; 2016; Journal J Alzheimers Dis; vol. 54; no. 1; pp. 99-107; doi:10.3233/JAD-160413
Gender, apolipoprotein E genotype, and mesial temporal atrophy: 2-year follow-up in patients with stable mild cognitive impairment and with progression from mild cognitive impairment to Alzheimer’s disease
M. V. Spampinato, B. R. Langdon, K. E. Patrick, R. O. Parker, H. Collins, E. Pravata and I. Alzheimer's Disease Neuroimaging
PMID: 27590747 ; 2016; Journal Neuroradiology; vol. 58; no. 11; pp. 1143-1151; doi:10.1007/s00234-016-1740-8
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