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睁眼和闭眼静息态网络连接差异

Eyes-Open and Eyes-Closed Resting State Network Connectivity Differences.

作者信息

Han Junrong, Zhou Liwei, Wu Hang, Huang Yujuan, Qiu Mincong, Huang Likai, Lee Chia, Lane Timothy Joseph, Qin Pengmin

机构信息

Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China.

Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou 510631, China.

出版信息

Brain Sci. 2023 Jan 10;13(1):122. doi: 10.3390/brainsci13010122.

DOI:10.3390/brainsci13010122
PMID:36672103
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9857293/
Abstract

Resting state networks comprise several brain regions that exhibit complex patterns of interaction. Switching from eyes closed (EC) to eyes open (EO) during the resting state modifies these patterns of connectivity, but precisely how these change remains unclear. Here we use functional magnetic resonance imaging to scan healthy participants in two resting conditions (viz., EC and EO). Seven resting state networks were chosen for this study: salience network (SN), default mode network (DMN), central executive network (CEN), dorsal attention network (DAN), visual network (VN), motor network (MN) and auditory network (AN). We performed functional connectivity (FC) analysis for each network, comparing the FC maps for both EC and EO. Our results show increased connectivity between most networks during EC relative to EO, thereby suggesting enhanced integration during EC and greater modularity or specialization during EO. Among these networks, SN is distinctive: during the transition from EO to EC it evinces increased connectivity with DMN and decreased connectivity with VN. This change might imply that SN functions in a manner analogous to a circuit switch, modulating resting state relations with DMN and VN, when transitioning between EO and EC.

摘要

静息态网络由几个表现出复杂交互模式的脑区组成。在静息状态下从闭眼（EC）切换到睁眼（EO）会改变这些连接模式，但这些变化的确切方式仍不清楚。在这里，我们使用功能磁共振成像对处于两种静息状态（即EC和EO）的健康参与者进行扫描。本研究选择了七个静息态网络：突显网络（SN）、默认模式网络（DMN）、中央执行网络（CEN）、背侧注意网络（DAN）、视觉网络（VN）、运动网络（MN）和听觉网络（AN）。我们对每个网络进行了功能连接（FC）分析，比较了EC和EO的FC图谱。我们的结果表明，与EO相比，大多数网络在EC期间的连接性增加，这表明EC期间整合增强，EO期间模块化或专业化程度更高。在这些网络中，SN很独特：在从EO过渡到EC期间，它与DMN的连接性增加，与VN的连接性降低。这种变化可能意味着SN的功能类似于电路开关，在EO和EC之间转换时调节与DMN和VN的静息状态关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/f49c62c41736/brainsci-13-00122-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/85d4337fdf61/brainsci-13-00122-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/855e4216eca3/brainsci-13-00122-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/7de1f4cc1ac3/brainsci-13-00122-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/1a4893354d8c/brainsci-13-00122-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/f49c62c41736/brainsci-13-00122-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/85d4337fdf61/brainsci-13-00122-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/855e4216eca3/brainsci-13-00122-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/7de1f4cc1ac3/brainsci-13-00122-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/1a4893354d8c/brainsci-13-00122-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1196/9857293/f49c62c41736/brainsci-13-00122-g003.jpg

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