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Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study.

Authors :
Fan, Fengmei
Liao, Xuhong
Lei, Tianyuan
Zhao, Tengda
Xia, Mingrui
Men, Weiwei
Wang, Yanpei
Hu, Mingming
Liu, Jie
Qin, Shaozheng
Tan, Shuping
Gao, Jia-Hong
Dong, Qi
Tao, Sha
He, Yong
Source :
NeuroImage. Feb2021, Vol. 226, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

The default-mode network (DMN) is a set of functionally connected regions that play crucial roles in internal cognitive processing. Previous resting-state fMRI studies have demonstrated that the intrinsic functional organization of the DMN undergoes remarkable reconfigurations during childhood and adolescence. However, these studies have mainly focused on cross-sectional designs with small sample sizes, limiting the consistency and interpretations of the findings. Here, we used a large sample of longitudinal resting-state fMRI data comprising 305 typically developing children (6–12 years of age at baseline, 491 scans in total) and graph theoretical approaches to delineate the developmental trajectories of the functional architecture of the DMN. For each child, the DMN was constructed according to a prior parcellation with 32 brain nodes. We showed that the overall connectivity increased in strength from childhood to adolescence and became spatially similar to that in the young adult group (N = 61, 18–28 years of age). These increases were primarily located in the midline structures. Global and local network efficiency in the DMN also increased with age, indicating an enhanced capability in parallel information communication within the brain system. Based on the divergent developmental rates of nodal centrality, we identified three subclusters within the DMN, with the fastest rates in the cluster mainly comprising the anterior medial prefrontal cortex and posterior cingulate cortex. Together, our findings highlight the developmental patterns of the functional architecture in the DMN from childhood to adolescence, which has implications for the understanding of network mechanisms underlying the cognitive development of individuals. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10538119
Volume :
226
Database :
Academic Search Index
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
148125322
Full Text :
https://doi.org/10.1016/j.neuroimage.2020.117581