Please use this identifier to cite or link to this item: https://doi.org/10.1002/hbm.25143
Title: Do intrinsic brain functional networks predict working memory from childhood to adulthood?
Authors: Zhang H 
Hao S
Lee A 
Eickhoff SB
Pecheva D 
Cai S 
Meaney M 
Chong YS 
Broekman BFP 
Fortier MV 
Qiu A 
Keywords: brain connectome
brain development
neural fingerprint
resting-state fMRI
working memory
Issue Date: Nov-2020
Publisher: John Wiley and Sons Inc
Citation: Zhang H, Hao S, Lee A, Eickhoff SB, Pecheva D, Cai S, Meaney M, Chong YS, Broekman BFP, Fortier MV, Qiu A (2020-11). Do intrinsic brain functional networks predict working memory from childhood to adulthood?. Human Brain Mapping 41 (16) : 4574 - 4586. ScholarBank@NUS Repository. https://doi.org/10.1002/hbm.25143
Abstract: Working memory (WM) is defined as the ability to maintain a representation online to guide goal‐directed behavior. Its capacity in early childhood predicts academic achievements in late childhood and its deficits are found in various neurodevelopmental disorders. We employed resting‐state fMRI (rs‐fMRI) of 468 participants aged from 4 to 55 years and connectome‐based predictive modeling (CPM) to explore the potential predictive power of intrinsic functional networks to WM in preschoolers, early and late school‐age children, adolescents, and adults. We defined intrinsic functional networks among brain regions identified by activation likelihood estimation (ALE) meta‐analysis on existing WM functional studies (ALE‐based intrinsic functional networks) and intrinsic functional networks generated based on the whole brain (whole‐brain intrinsic functional networks). We employed the CPM on these networks to predict WM in each age group. The CPM using the ALE‐based and whole‐brain intrinsic functional networks predicted WM of individual adults, while the prediction power of the ALE‐based intrinsic functional networks was superior to that of the whole‐brain intrinsic functional networks. Nevertheless, the CPM using the whole‐brain but not the ALE‐based intrinsic functional networks predicted WM in adolescents. And, the CPM using neither the ALE‐based nor whole‐brain networks predicted WM in any of the children groups. Our findings showed the trend of the prediction power of the intrinsic functional networks to cognition in individuals from early childhood to adulthood.
Source Title: Human Brain Mapping
URI: https://scholarbank.nus.edu.sg/handle/10635/186920
ISSN: 10659471
DOI: 10.1002/hbm.25143
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