1. Segregation of the regional radiomics similarity network exhibited an increase from late childhood to early adolescence: A developmental investigation.
- Author
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Chu L, Zeng D, He Y, Dong X, Li Q, Liao X, Zhao T, Chen X, Lei T, Men W, Wang Y, Wang D, Hu M, Pan Z, Tan S, Gao JH, Qin S, Tao S, Dong Q, He Y, and Li S
- Subjects
- Humans, Adolescent, Child, Male, Female, Longitudinal Studies, Connectome methods, Adolescent Development physiology, Attention physiology, Radiomics, Brain diagnostic imaging, Brain growth & development, Magnetic Resonance Imaging methods, Nerve Net diagnostic imaging, Nerve Net growth & development, Child Development physiology
- 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., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Shuyu Li reports financial support was provided by National Natural Science Foundation of China. Yong He reports financial support was provided by National Natural Science Foundation of China. Qiongling Li, Qi Dong, Sha Tao, Yanpei Wang, Daoyang Wang, Mingming Hu, and Zhiying Pan reports financial support was provided by National Natural Science Foundation of China. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Inc.)
- Published
- 2024
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