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

IF 4.7 2区 医学 Q1 NEUROIMAGING
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
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引用次数: 0

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.
区域放射组学相似性网络的分离表现出从儿童后期到青少年早期的增加:一项发展调查。
大脑发育的特点是结构和功能分离的增加,这支持了网络神经科学背景下认知过程的专业化。尽管放射组学特征具有捕捉微环境信息和病变同质性的潜力,但我们对这些特征是否能阐明大脑发育变化的了解仍然有限。在这项研究中,我们从一个纵向数据集中构建了单个区域放射组学相似性网络(R2SN),该数据集来自基线年龄为6.2至13岁的309名发育典型儿童的494张T1加权磁共振扫描图。线性混合效应模型显示,R2SN分离指数纵向增加,特别是在系统水平上的边缘、背侧注意网络内,而腹侧注意网络内的分离指数则下降。在工作记忆和抑制控制方面的优异表现与默认系统、前顶叶系统、腹侧注意系统、躯体运动系统和皮层下系统较高的系统级分离指数以及视觉网络若干区域较低的局部分离指数有关,与年龄无关。此外,基因富集分析显示,与年龄相关的局部分离指数变化与发育过程相关基因的区域表达水平之间存在相关性。这些发现为利用R2SN方法计算的分离指数所显示的典型大脑发育变化提供了新的见解,可作为了解人类大脑结构和认知成熟的宝贵工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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