Multiscale functional connectivity patterns of the aging brain learned from rsfMRI data of 4,259 individuals of the multi-cohort iSTAGING study
Z. Zhou, D. Srinivasan, H. Li, A. Abdulkadir, I. Nasrallah, J. Wen, J. Doshi, G. Erus, E. Mamourian, N. R. Bryan, D. A. Wolk, L. Beason-Held, S. M. Resnick, T. D. Satterthwaite, C. Davatzikos, , Y. Fan
The paper develops a brain age prediction model using multiscale functional connectivity from rsfMRI data of 4,259 individuals, showing that multiscale measures improve prediction and that brain age gaps correlate with cognitive and clinical measures.
bioRxiv · Jul 27, 2022 · PreprintBioengineering