青少年区域水平个体化同源功能脑区划分的发展

Development of areal-level individualized homologous functional parcellations in youth.

作者信息

Li Jinlong, Zhang Yu, Wu Xinyu, Xue Mufan, Wang Zhiming, Lv Shuo, Yang Ruoqi, Zhu Wenjing, Li Xuesong, Yan Tianyi, Yang Guoyuan

机构信息

School of Interdisciplinary Science, Beijing Institute of Technology, Beijing, China.

School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China.

出版信息

Commun Biol. 2025 Jul 21;8(1):1083. doi: 10.1038/s42003-025-08509-7.

Abstract

Individualized functional brain networks from childhood to adolescence undergo varying patterns of maturation, associated with higher-order cognition outcomes. However, the developmental trajectory patterns based on homologous areal-level brain parcellations remain elusive. Here, we developed an individualized homologous functional parcellation technique (IHFP) to map brain functional development using resting-state functional magnetic resonance imaging data from the Lifespan Human Connectome Project in Development study (N = 591) aged 8-21 years. We delineate developmental trajectories based on areal-level homologous parcellations of resting-state functional connectivity. We found functional features during adolescence exhibit unique developmental trajectories, such as global mean functional connectivity with a widespread decrease across cerebral cortex. Then, we matched areal-level parcellations into large-scale networks and demonstrated that higher-order transmodal networks exhibited higher variability between developmental trajectories in areal-level parcels. We reveal that IHFPs possess a stronger capability for creating more homogeneous parcels in individuals, consequently showing a higher accuracy in predicting cognition behaviors. Together, these results establish the fine-grained areal-level functional homologous parcellations in adolescent development and will facilitate the understanding of human brain function more precisely.

摘要

从童年到青少年期,个体化的功能性脑网络经历不同的成熟模式,这与高阶认知结果相关。然而,基于同源区域水平脑图谱的发育轨迹模式仍不明确。在此,我们开发了一种个体化同源功能图谱技术(IHFP),利用来自寿命期人类连接组计划发育研究(N = 591,年龄8 - 21岁)的静息态功能磁共振成像数据来描绘脑功能发育。我们基于静息态功能连接的区域水平同源图谱描绘发育轨迹。我们发现青少年期的功能特征呈现独特的发育轨迹,例如全脑平均功能连接在整个大脑皮层广泛降低。然后,我们将区域水平图谱匹配到大规模网络中,并证明高阶跨模态网络在区域水平图谱的发育轨迹之间表现出更高的变异性。我们揭示IHFP在个体中创建更均匀图谱的能力更强,因此在预测认知行为方面显示出更高的准确性。总之,这些结果确立了青少年发育中精细的区域水平功能同源图谱,并将有助于更精确地理解人类脑功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c51/12280106/29cc2b9b86ca/42003_2025_8509_Fig1_HTML.jpg

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