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在超过 50K 的 fMRI 数据集里发现和复制青少年和成年时期功能网络连通性差异的时间分辨特征。

Discovery and Replication of Time-Resolved Functional Network Connectivity Differences in Adolescence and Adulthood in over 50K fMRI Datasets.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:1855-1858. doi: 10.1109/EMBC48229.2022.9870916.

DOI:10.1109/EMBC48229.2022.9870916
PMID:36085722
Abstract

There remains an open question about whether and in what context brain function varies in adolescence and adulthood. In this work, we systematically study the functional brain networks of adolescents and adults, outlining the significant differences in the developing brain detected via time-resolved functional network connectivity (trFNC) derived from a fully automated independent component analysis pipeline applied to resting-state fMRI data in over 50K individuals. We then statistically analyze the transient, recurrent, and robust brain state profiles in both groups. We confirmed the results in independent replication datasets for both groups. Our findings indicate a strengthening of a state reflecting functional coupling within the visual, motor, and auditory domains and anticorrelation with all other domains in a unique adult state profile, a pattern consistently less modular in adolescents. This new insight into possible integration, strengthening, and modularization of resting-state brain connections beyond childhood convergently indicates that the highlighted temporal dynamics likely reflect robust differences in brain function in adolescents versus adults.

摘要

关于大脑功能在青少年和成年期是否以及在何种情况下会发生变化,这仍然是一个悬而未决的问题。在这项工作中,我们系统地研究了青少年和成年人的功能性大脑网络,通过从应用于超过 50K 个体的静息态 fMRI 数据的全自动独立成分分析管道得出的时变功能网络连接性 (trFNC),概述了发育中大脑的显著差异。然后,我们对两组的瞬态、反复和稳健的大脑状态分布进行了统计分析。我们在两组的独立复制数据集中证实了这些结果。我们的研究结果表明,在一个独特的成人状态分布中,反映视觉、运动和听觉领域内功能耦合的状态得到了加强,与所有其他领域的相关性降低,而在青少年中,这种模式的模块性则不一致。这种对静息状态大脑连接可能的整合、加强和模块化的新见解表明,所强调的时间动态可能反映了青少年与成年人之间大脑功能的显著差异。

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