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主导自发性活动的基本模式驱动着静息状态下人类大脑的个体功能连接组织。

Leading basic modes of spontaneous activity drive individual functional connectivity organization in the resting human brain.

机构信息

School of Systems Science, Beijing Normal University, Beijing, 100875, China.

Beijing Key Laboratory of Applied Experimental Psychology, School of Psychology, Beijing Normal University, Beijing, 100875, China.

出版信息

Commun Biol. 2023 Aug 31;6(1):892. doi: 10.1038/s42003-023-05262-7.

DOI:10.1038/s42003-023-05262-7
PMID:37652993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10471630/
Abstract

Spontaneous activity of the human brain provides a window to explore intrinsic principles of functional organization. However, most studies have focused on interregional functional connectivity. The principles underlying rich repertoires of instantaneous activity remain largely unknown. We apply a recently proposed eigen-microstate analysis to three resting-state functional MRI datasets to identify basic modes that represent fundamental activity patterns that coexist over time. We identify five leading basic modes that dominate activity fluctuations. Each mode exhibits a distinct functional system-dependent coactivation pattern and corresponds to specific cognitive profiles. In particular, the spatial pattern of the first leading basis mode shows the separation of activity between the default-mode and primary and attention regions. Based on theoretical modelling, we further reconstruct individual functional connectivity as the weighted superposition of coactivation patterns corresponding to these leading basic modes. Moreover, these leading basic modes capture sleep deprivation-induced changes in brain activity and interregional connectivity, primarily involving the default-mode and task-positive regions. Our findings reveal a dominant set of basic modes of spontaneous activity that reflect multiplexed interregional coordination and drive conventional functional connectivity, furthering the understanding of the functional significance of spontaneous brain activity.

摘要

人类大脑的自发性活动为探索功能组织的内在原理提供了一个窗口。然而,大多数研究都集中在区域间功能连接上。丰富瞬间活动模式的基础原理在很大程度上仍然未知。我们应用最近提出的特征微状态分析方法,对三个静息态 fMRI 数据集进行分析,以识别代表随时间共存的基本活动模式的基本模式。我们确定了五个主导的基本模式,这些模式主导着活动波动。每个模式都表现出独特的与功能系统相关的共激活模式,并对应于特定的认知特征。特别是,第一个主导基本模式的空间模式显示了默认模式和主要区域与注意力区域之间活动的分离。基于理论建模,我们进一步将个体功能连接重建为对应于这些主导基本模式的共激活模式的加权叠加。此外,这些主导的基本模式捕捉到了睡眠剥夺引起的大脑活动和区域间连接的变化,主要涉及默认模式和任务正性区域。我们的研究结果揭示了一组主导的自发性活动基本模式,反映了复发性区域间协调,并推动了传统功能连接的发展,进一步理解了自发性大脑活动的功能意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6fd/10471630/4df5ac2c92fa/42003_2023_5262_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6fd/10471630/84b70d835cff/42003_2023_5262_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6fd/10471630/c7aa7cb95a72/42003_2023_5262_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6fd/10471630/e01e7b6175d2/42003_2023_5262_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6fd/10471630/4df5ac2c92fa/42003_2023_5262_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6fd/10471630/84b70d835cff/42003_2023_5262_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6fd/10471630/c7aa7cb95a72/42003_2023_5262_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6fd/10471630/e01e7b6175d2/42003_2023_5262_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6fd/10471630/4df5ac2c92fa/42003_2023_5262_Fig4_HTML.jpg

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3
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Neuroimage. 2022 May 1;251:119013. doi: 10.1016/j.neuroimage.2022.119013. Epub 2022 Feb 18.
4
Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder.卷积变分自动编码器揭示静息态 fMRI 中的时空轨迹。
Neuroimage. 2021 Dec 1;244:118588. doi: 10.1016/j.neuroimage.2021.118588. Epub 2021 Oct 1.
5
Neural Mechanism Underlying the Sleep Deprivation-Induced Abnormal Bistable Perception.睡眠剥夺诱导的异常双稳知觉背后的神经机制。
Cereb Cortex. 2022 Jan 22;32(3):583-592. doi: 10.1093/cercor/bhab235.
6
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7
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Neuroimage. 2021 Aug 15;237:118193. doi: 10.1016/j.neuroimage.2021.118193. Epub 2021 May 25.
8
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