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

Author:

Han JunrongORCID,Zhou Liwei,Wu Hang,Huang Yujuan,Qiu Mincong,Huang Likai,Lee Chia,Lane Timothy JosephORCID,Qin PengminORCID

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.

Funder

Taiwan Ministries of Health and Welfare, Education, and Science and Technology

Key Realm R&D Program of Guangzhou

the National Natural Science Foundation of China

the Major Program of National Social Science Foundation of China

Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence Fund

Key-Area Research and Development Program of Guangdong Province

Guangdong Basic and Applied Basic Research Foundation

2022 the Guangdong-Hong Kong-Macao Greater Bay Area Exchange Programs of SCNU

Publisher

MDPI AG

Subject

General Neuroscience

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