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2110 Total Publications

Interregional causal influences of brain metabolic activity reveal the spread of aging effects during normal aging
Di, X, Wolfer, M, Amend, M, Wehrl, H, Ionescu, TM, Pichler, BJ, Biswal, BB and Alzheimers Dis Neuroimaging, I
2019; Journal Human Brain Mapping; vol. 40; no. 16; pp. 4657-4668;
Modeling grey matter atrophy as a function of time, aging or cognitive decline show different anatomical patterns in Alzheimer's disease
Dicks, EV, L.: van der Flier, W. M.: Visser, P. J.: Barkhof, F.: Scheltens, P.: Tijms, B. M.
2019; Journal Neuroimage Clin; vol. 22; pp. 101786;
Evaluating trajectories of episodic memory in normal cognition and mild cognitive impairment: Results from ADNI
Ding, X., Charnigo, R. J., Schmitt, F. A., Kryscio, R. J. and Abner, E. L.
2019; Journal PLoS One; vol. 14; no. 2; pp. e0212435;
Estimation of the volume under the ROC surface in presence of nonignorable verification bias
Duc, KT, Chiogna, M, Adimari, G and Alzheimers Dis, N
2019; Journal Statistical Methods and Applications; vol. 28; no. 4; pp. 695-722;
Whole volume brain extraction for multi-centre, multi-disease FLAIR MRI datasets
Khademi, A, Reiche, B, DiGregorio, J, Arezza, G and Moody, AR
PMID: 31472262 ; 2019; Journal Magn Reson Imaging;
Connectivity and morphology of hubs of the cerebral structural connectome are associated with brain resilience in AD- and age-related pathology
Fischer, FUW, D.: Fellgiebel, A.
2019; Journal Brain Imaging Behav;
Functional connectivity associated with tau levels in ageing, Alzheimer's, and small vessel disease
Franzmeier, N, Rubinski, A, Neitzel, J, Kim, Y, Damm, A, Na, DL, Kim, HJ, Lyoo, CH, Cho, H, Finsterwalder, S, Duering, M, Seo, SW and Ewers, M
2019; Journal Brain; vol. 142; no. 4; pp. 1093-1107;
In vivo measures of tau burden are associated with atrophy in early Braak stage medial temporal lobe regions in amyloid-negative individuals
Das, SR, Xie, L, Wisse, LEM, Vergnet, N, Ittyerah, R, Cui, S, Yushkevich, PA, Wolk, DA and Alzheimers Dis Neuroimaging, I
2019; Journal Alzheimers & Dementia; vol. 15; no. 10; pp. 1286-1295;
Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data
De Velasco Oriol, J, Vallejo, EE, Estrada, K, Tamez Pena, JG and Disease Neuroimaging Initiative, TA
2019; Journal BMC Bioinformatics; vol. 20; no. 1; pp. 709;
Predicting the course of Alzheimer's progression
Iddi, S, Li, D, Aisen, PS, Rafii, MS, Thompson, WK and Donohue, MC
2019; Journal Brain Inform; vol. 6; no. 1; pp. 6;