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2110 Total Publications

Regional brain atrophy predicts time to conversion to Alzheimer's disease, dependent on baseline volume
Tabatabaei-Jafari, H, Shaw, ME, Walsh, E and Cherbuin, N
2019; Journal Neurobiol Aging; vol. 83; pp. 86-94;
Cognitive/functional measures predict Alzheimer's disease, dependent on hippocampal volume
Tabatabaei-Jafari, H., Shaw, M. E., Walsh, E. and Cherbuin, N.
2019; Journal J Gerontol B Psychol Sci Soc Sci;
Rostral-Caudal Hippocampal Functional Convergence Is Reduced Across the Alzheimer's Disease Spectrum
Therriault, J, Wang, S, Mathotaarachchi, S, Pascoal, TA, Parent, M, Beaudry, T, Shin, M, Benedet, AL, Kang, MS, Ng, KP, Dansereau, C, Park, MTM, Fonov, V, Carbonell, F, Zimmer, E, Chakravarty, MM, Bellec, P, Gauthier, S, Rosa-Neto, P and Alzheimers Dis Neuroimaging, I
2019; Journal Molecular Neurobiology; vol. 56; no. 12; pp. 8336-8344;
Artificially low mild cognitive impairment to normal reversion rate in the Alzheimer's Disease Neuroimaging Initiative
Thomas, K. R., Eppig, J. S., Weigand, A. J., Edmonds, E. C., Wong, C. G., Jak, A. J., Delano-Wood, L., Galasko, D. R., Salmon, D. P., Edland, S. D. and Bondi, M. W.
2019; Journal Alzheimers Dement;
MCI-to-normal reversion using neuropsychological criteria in the Alzheimer's Disease Neuroimaging Initiative
Thomas, KR, Edmonds, EC, Eppig, JS, Wong, CG, Weigand, AJ, Bangen, KJ, Jak, AJ, Delano-Wood, L, Galasko, DR, Salmon, DP, Edland, SD, Bondi, MW and Alzheimers Dis Neuroimaging, I
2019; Journal Alzheimers & Dementia; vol. 15; no. 10; pp. 1322-1332;
MCADNNet: Recognizing Stages of Cognitive Impairment through Efficient Convolutional fMRI and MRI Neural Network Topology Models
Sarraf, S, Desouza, DD, Anderson, J and Saverino, C
2019; Journal IEEE Access; vol. 7; pp. 155584-155600;
Investigating the Association Between Verbal Forgetting and Pathological Markers of Alzheimer's and Lewy Body Diseases
Schaeffer, MJC, B. L.
2019; Journal J Alzheimers Dis; vol. 70; no. 3; pp. 877-887;
Relationships between objectives sleep parameters and brain amyloid load in subjects at risk for Alzheimer’s disease: the INSIGHT-preAD Study
Ettore, E, Bakardjian, H, Solé, M, Levy Nogueira, M, Habert, M-O, Gabelle, A, Dubois, B, Robert, P and David, R
PMID: 31267124 ; 2019; Journal Sleep; vol. 42; no. 9; pp. zsz137;
Incorporating spatial-anatomical similarity into the VGWAS framework for AD biomarker detection
Huang, MY, Y.: Yang, W.: Feng, Q.
2019; Journal Bioinformatics;