Directionality of large-scale resting-state brain networks during eyes open and eyes closed conditions

Frontiers in Human Neuroscience

卷:9

Ruiwang eHuang¹  Zengjian eWang¹  Bishan eLiang¹  Song eChang¹  Ming eLiu¹  Bo eLiu²  Delong eZhang³  Pengfei eXu⁵  Xia eWu⁷ 

[1] Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University;

[2] Department of Radiology, Guangdong Provincial Hospital of Chinese Medicine;

[3] Guangzhou University of Chinese Medicine postdoctoral mobile research station, Guangzhou, China;

[4] Institute of Affective and Social Neuroscience, Shenzhen University;

[5] National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China;

[6] Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands;

[7] School of Information Science and Technology, Beijing Normal University;

关键词: independent component analysis (ICA);    Resting-state fMRI;    eyes open;    eyes closed;    support vector machine (SVM);    Gaussian Bayesian network (BN);   

DOI  :  10.3389/fnhum.2015.00081

来源: DOAJ

【 摘 要 】

The present study examined directional connections in the brain among resting-state networks (RSNs) when the participant had their eyes open (EO) or had their eyes closed (EC). The resting-state fMRI data were collected from 20 healthy participants (11 males, 20.17 ± 2.74 years) under the EO and EC states. Independent component analysis (ICA) was applied to identify the separated RSNs (i.e., the primary/high-level visual, primary sensory-motor, ventral motor, salience/dorsal attention, and anterior/posterior default-mode networks), and the Gaussian Bayesian network (BN) learning approach was then used to explore the conditional dependencies among these RSNs. The network-to-network directional connections related to EO and EC were depicted, and a support vector machine (SVM) was further employed to identify the directional connection patterns that could effectively discriminate between the two states. The results indicated that the connections among RSNs are directionally connected within a BN during the EO and EC states. The directional connections from the salient attention network to the anterior/posterior default-mode networks and the high-level to primary-level visual network were the obvious characteristics of both the EO and EC resting-state BNs. Of the directional connections in BN, the attention (salient and dorsal)-related directional connections were observed to be discriminative between the EO and EC states. In particular, we noted that the properties of the salient and dorsal attention networks were in opposite directions. Overall, the present study described the directional connections of RSNs using a BN learning approach during the EO and EC states, and the results suggested that the attention system (the salient and the dorsal attention network) might have important roles in resting-state brain networks and the neural substrate underpinning of switching between the EO and EC states.

【 授权许可】

Unknown