Open eyes and closed eyes elicit different temporal properties of brain functional networks

NeuroImage

Ruiwang Huang¹  Jie Song¹  Huiqing Hu¹  Bolin Cao²  Huiyuan Huang²  Shuai Wang³  Qinyuan Chen³  Xiaojin Liu³  Senning Zheng⁴  Yihe Weng⁴  Junjing Wang⁴ 

[1] Center for Studies of Psychological Application, South China Normal University, 510631 Guangzhou, China;Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, 510631 Guangzhou, China;School of Psychology, South China Normal University, 510631 Guangzhou, China;Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, China;

关键词: Resting-state fMRI;    Eyes condition;    Dynamic functional connectivity;    k-means;   

DOI  :  

来源: DOAJ

【 摘 要 】

The eyes are our windows to the brain. There are differences in brain activity between people who have their eyes closed (EC) and eyes open (EO). Previous studies focused on differences in brain functional properties between these eyes conditions based on an assumption that brain activity is a static phenomenon. However, the dynamic nature of the brain activity in different eyes conditions is still unclear. In this study, we collected resting-state fMRI data from 21 healthy subjects in the EC and EO conditions. Using a sliding time window approach and a k-means clustering algorithm, we calculated the temporal properties of dynamic functional connectivity (dFC) states in the eyes conditions. We also used graph theory to estimate the dynamic topological properties of functional networks in the two conditions. We detected two dFC states, a hyper-connected State 1 and a hypo-connected State 2. We showed the following results: (i) subjects in the EC condition stayed longer in the hyper-connected State 1 than those in the EO; (ii) subjects in the EO condition stayed longer in the hypo-connected State 2 than those in the EC; and (iii) the dFC state transformed into the other state more frequently during EC than during EO. We also found the variance of the characteristic path length was higher during EC than during EO in the hyper-connected State 1. These results indicate that brain activity may be more active and unstable during EC than during EO. Our findings may provide insights into the dynamic nature of the resting-state brain and could be a useful reference for future rs-fMRI studies.

【 授权许可】

Unknown