Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study

To learn multiscale functional connectivity patterns of the aging brain, we built a brain age prediction model of functional connectivity measures at seven scales on a large fMRI dataset, consisting of resting-state fMRI scans of 4186 individuals with a wide age range (22 to 97 years, with an averag...

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Bibliographic Details
Main Authors: Zhen Zhou, Hongming Li, Dhivya Srinivasan, Ahmed Abdulkadir, Ilya M. Nasrallah, Junhao Wen, Jimit Doshi, Guray Erus, Elizabeth Mamourian, Nick R. Bryan, David A. Wolk, Lori Beason-Held, Susan M. Resnick, Theodore D. Satterthwaite, Christos Davatzikos, Haochang Shou, Yong Fan
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:NeuroImage
Subjects:
Resting-state fMRI
Multiscale brain functional network
Functional brain age
Harmonization
Tangent space parameterization
Brain age gap
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923000599

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http://www.sciencedirect.com/science/article/pii/S1053811923000599

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