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Segregation of the regional radiomics similarity network exhibited an increase from late childhood to early adolescence: A developmental investigation

Authors :
Lei Chu
Debin Zeng
Yirong He
Xiaoxi Dong
Qiongling Li
Xuhong Liao
Tengda Zhao
Xiaodan Chen
Tianyuan Lei
Weiwei Men
Yanpei Wang
Daoyang Wang
Mingming Hu
Zhiying Pan
Shuping Tan
Jia-Hong Gao
Shaozheng Qin
Sha Tao
Qi Dong
Yong He
Shuyu Li
Source :
NeuroImage, Vol 302, Iss , Pp 120893- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Brain development is characterized by an increase in structural and functional segregation, which supports the specialization of cognitive processes within the context of network neuroscience. In this study, we investigated age-related changes in morphological segregation using individual Regional Radiomics Similarity Networks (R2SNs) constructed with a longitudinal dataset of 494 T1-weighted MR scans from 309 typically developing children aged 6.2 to 13 years at baseline. Segertation indices were defined as the relative difference in connectivity strengths within and between modules and cacluated at the global, system and local levels. Linear mixed-effect models revealed longitudinal increases in both global and system segregation indices, particularly within the limbic and dorsal attention network, and decreases within the ventral attention network. Superior performance in working memory and inhibitory control was associated with higher system-level segregation indices in default, frontoparietal, ventral attention, somatomotor and subcortical systems, and lower local segregation indices in visual network regions, regardless of age. Furthermore, gene enrichment analysis revealed correlations between age-related changes in local segregation indices and regional expression levels of genes related to developmental processes. These findings provide novel insights into typical brain developmental changes using R2SN-derived segregation indices, offering a valuable tool for understanding human brain structural and cognitive maturation.

Details

Language :
English
ISSN :
10959572
Volume :
302
Issue :
120893-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.61e6383bcd5647518e9acbcf03949142
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2024.120893