Abstract
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 (9 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 salience network (SN) 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 directional connections of the salience and dorsal attention network (DAN) were observed to be discriminative between the EO and EC states. In particular, we noted that the properties of the salience and DANs 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 directionality of the attention systems (i.e., mainly for the salience and the DAN) in resting state might have important roles in switching between the EO and EC conditions.
Highlights
The human brain is a self-organized system in which multiple sub-systems complexly interconnect within a network (Bullmore and Sporns, 2009; Park and Friston, 2013)
We found that several specific connections, including salience network (SN) to central executive network (CEN), ventral motor network (VMN) to dorsal attention network (DAN), SN to primary sensory-motor network (PSMN), and highlevel visual network (HVN) to anterior default-mode networks (aDMN), were observed in the Bayesian network (BN) network related to eyes closed (EC)
We found that the DAN-related directional connections were changed between the EC and eyes open (EO) conditions; especially, we found that more information from primary sensory modalities (e.g., primary visual network (PVN), PSMN) was input into the DAN in the EO condition when compared to the EC condition
Summary
The human brain is a self-organized system in which multiple sub-systems complexly interconnect within a network (Bullmore and Sporns, 2009; Park and Friston, 2013). The directional connections among these sub-systems within a network and their relation to eye behavioral states are not well understood. Neuroimaging studies have demonstrated that spontaneous brain activity of functional subsystems overlaps highly with taskinduced activity (Fox et al, 2006; Mantini et al, 2007; Zuo et al, 2010). These inherent spontaneous activities were intradependently organized within the subsystem and functionally cooperated and communicated interdependently (Tononi et al, 1994; Sporns, 2013). The directional connectivity among these subsystems has been shown to be an important characteristic of the dynamics of the spontaneous activity
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
