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4453 Total Publications

Alzheimer's disease biomarkers as predictors of trajectories of depression and apathy in cognitively normal individuals, mild cognitive impairment, and Alzheimer's disease dementia
Banning, LCP, Ramakers, I, Rosenberg, PB, Lyketsos, CG and Leoutsakos, JS
2020; Journal Int J Geriatr Psychiatry;
Cerebrospinal fluid progranulin is associated with increased cortical thickness in early stages of Alzheimer's disease
Batzu, L, Westman, E, Pereira, JB and Alzheimers Dis Neuroimaging, I
2020; Journal Neurobiology of Aging; vol. 88; pp. 61-70;
Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer's Disease Neuroimaging (ADNI) database
Beltrán, JF, Wahba, BM, Hose, N, Shasha, D and Kline, RP
PMCID:7384664 ; 2020; Journal PLoS One; vol. 15; no. 7; pp. e0235663;
Stage-specific links between plasma neurofilament light and imaging biomarkers of Alzheimer’s disease
Benedet, AL, Leuzy, A, Pascoal, TA, Ashton, NJ, Mathotaarachchi, S, Savard, M, Therriault, J, Kang, MS, Chamoun, M and Schöll, M
2020; Journal Brain; vol. 143; pp. 3793-3804;
Serum triglycerides in Alzheimer disease: Relation to neuroimaging and CSF biomarkers
Bernath, MM, Bhattacharyya, S, Nho, K, Barupal, DK, Fiehn, O, Baillie, R, Risacher, SL, Arnold, M, Jacobson, T, Trojanowski, JQ, Shaw, LM, Weiner, MW, Doraiswamy, PM, Kaddurah-Daouk, R, Saykin, AJ, Alzheimer's Dis, N and Alzheimer's Dis, M
2020; Journal Neurology; vol. 94; no. 20; pp. E2088-E2098;
Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest
Bi, XA, Hu, X, Wu, H and Wang, Y
2020; Journal IEEE J Biomed Health Inform;
The meta-memory ratio: a new cohort-independent way to measure cognitive awareness in asymptomatic individuals at risk for Alzheimer's disease
Gagliardi, G, Houot, M, Cacciamani, F, Habert, MO, Dubois, B and Epelbaum, S
PMID: 32408882 ; PMCID:7222501 ; 2020; Journal Alzheimers Res Ther; vol. 12; no. 1; pp. 57;
Robust parametric modeling of Alzheimer's disease progression
Ghazi, M.M., Nielsen, M, Pai, A, Modat, M, Jorge Cardoso, M, Ourselin, S and Sørensen, L
2020; Journal Neuroimage; no. 117460;
Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data
Gill, S, Mouches, P, Hu, S, Rajashekar, D, MacMaster, FP, Smith, EE, Forkert, ND, Ismail, Z and Alzheimers Dis Neuroimaging, I
2020; Journal Journal of Alzheimers Disease; vol. 75; no. 1; pp. 277-288;
Serum Vitamin B12, and Related MTRR and Cubilin Genotypes, Predict Neural Outcomes across the AD Spectrum
McLiman, K, Collazo Martinez, A, Mochel, JP, Allenspach, KD and Willette, AA
2020; Journal The British Journal of Nutrition;