• J Neuroimaging · Nov 2023

    Nodal properties of the resting-state brain functional network in childhood and adolescence.

    • Yu Tian, Gaoqiang Xu, Jing Zhang, Kuntao Chen, and Songjiang Liu.
    • Department of Radiology, the Affiliated Hospital of Zunyi Medical University, Zunyi, China.
    • J Neuroimaging. 2023 Nov 1; 33 (6): 101510231015-1023.

    Background And PurposeChanges in the topological properties of brain functional network nodes during childhood and adolescence can provide more detailed and intuitive information on the rules of brain development. This study aims to explore the characteristics of nodal attributes in child and adolescent brain functional networks and analyze the correlation between nodal attributes in different brain regions and age.MethodsForty-two healthy volunteers aged 6-18 years who were right-handed primary and middle school students were recruited, and the subgroup analysis included children (6-12 years, n = 19) and adolescents (13-18 years, n = 23). Resting-state functional magnetic resonance imaging data were collected using a 3.0 Tesla MRI scanner. The topological properties of the functional brain network were analyzed using graph theory.ResultsCompared with the children group, the degree centrality and nodal efficiency of multiple brain regions in the adolescent group were significantly increased, and the nodal shortest path was reduced (q<0.05, false discovery rate corrected). These brain regions were widely distributed in the whole brain and significantly correlated with age. Compared with the children group, reduced degree centralities were observed in the left dorsolateral fusiform gyrus, left rostral cuneus gyrus, and right medial superior occipital gyrus.ConclusionThe transmission efficiency of the brain's core network gradually increased, and the subnetwork function gradually improved in children and adolescents with age. The functional development of each brain area in the occipital visual cortex was uneven and there was functional differentiation within the occipital visual cortex.© 2023 American Society of Neuroimaging.

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