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Publications

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1736 Total Publications

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
The Cingulate Cortex of Older Adults with Excellent Memory Capacity
F. Lin, P. Ren, M. Mapstone, S. P. Meyers, A. Porsteinsson, T. M. Baran and I. Alzheimer's Disease Neuroimaging
PMID: 27930899 ; PMCID:5253250 ; 2016; Journal Cortex; vol. 86; pp. 83-92; doi:10.1016/j.cortex.2016.11.009
The executive prominent/memory prominent spectrum in Alzheimer’s disease is highly heritable
J. Mez, S. Mukherjee, T. Thornton, D. W. Fardo, E. Trittschuh, S. Sutti, R. Sherva, J. S. Kauwe, A. C. Naj, G. W. Beecham, A. Gross, A. J. Saykin, R. C. Green, P. K. Crane, G. Executive Prominent Alzheimer's Disease, F. Risk, I. Alzheimer's Disease Neuroimaging and C. Alzheimer's Disease Genetics
PMID: 27103524 ; PMCID:4843522 ; 2016; Journal Neurobiol Aging; vol. 41; pp. 115-121; doi:10.1016/j.neurobiolaging.2016.02.015
Identify the Atrophy of Alzheimer’s Disease, Mild Cognitive Impairment and Normal Aging Using Morphometric MRI Analysis
X. Ma, Z. Li, B. Jing, H. Liu, D. Li, H. Li and I. Alzheimer's Disease Neuroimaging
PMID: 27803665 ; PMCID:5067377 ; 2016; Journal Front Aging Neurosci; vol. 8; pp. 243; doi:10.3389/fnagi.2016.00243
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
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
The C677T variant in MTHFR modulates associations between blood-based and cerebrospinal fluid biomarkers of neurodegeneration.
F. F. Roussotte, X. Hua, K. L. Narr, G. W. Small, P. M. Thompson and I. Alzheimer's Disease Neuroimaging
PMID: 28435933 ; PMCID:5395287 ; 2016; Journal Biol Psychiatry Cogn Neurosci Neuroimaging; vol. 2; no. 3; pp. 280-288; doi:10.1016/j.bpsc.2016.09.005
Classification of amyloid status using machine learning with histograms of oriented 3D gradients
L. Cattell, G. Platsch, R. Pfeiffer, J. Declerck, J. A. Schnabel, C. Hutton and I. Alzheimer's Disease Neuroimaging
PMID: 27995065 ; PMCID:5153608 ; 2016; Journal Neuroimage Clin; vol. 12; pp. 990-1003; doi:10.1016/j.nicl.2016.05.004