Abstract
Functional magnetic resonance imaging studies have documented the resting human brain to be functionally organized in multiple large‐scale networks, called resting‐state networks (RSNs). Other brain imaging techniques, such as electroencephalography (EEG) and magnetoencephalography (MEG), have been used for investigating the electrophysiological basis of RSNs. To date, it is largely unclear how neural oscillations measured with EEG and MEG are related to functional connectivity in the resting state. In addition, it remains to be elucidated whether and how the observed neural oscillations are related to the spatial distribution of the network nodes over the cortex. To address these questions, we examined frequency‐dependent functional connectivity between the main nodes of several RSNs, spanning large part of the cortex. We estimated connectivity using band‐limited power correlations from high‐density EEG data collected in healthy participants. We observed that functional interactions within RSNs are characterized by a specific combination of neuronal oscillations in the alpha (8–13 Hz), beta (13–30 Hz), and gamma (30–80 Hz) bands, which highly depend on the position of the network nodes. This finding may contribute to a better understanding of the mechanisms through which neural oscillations support functional connectivity in the brain.
Highlights
Functional magnetic resonance imaging studies documented that the resting human brain is functionally organized in several large-scale networks, so-called resting-state brain networks (RSNs) (Damoiseaux et al, 2006; Fox & Raichle, 2007; Raichle et al, 2001)
Functional magnetic resonance imaging studies have documented the resting human brain to be functionally organized in multiple large-scale networks, called resting-state networks (RSNs)
Functional magnetic resonance imaging studies documented that the resting human brain is functionally organized in several large-scale networks, so-called resting-state brain networks (RSNs) (Damoiseaux et al, 2006; Fox & Raichle, 2007; Raichle et al, 2001)
Summary
Functional magnetic resonance imaging (fMRI) studies documented that the resting human brain is functionally organized in several large-scale networks, so-called resting-state brain networks (RSNs) (Damoiseaux et al, 2006; Fox & Raichle, 2007; Raichle et al, 2001). More recent MEG and high-density EEG (hdEEG) studies (Samogin et al, 2019; Tang et al, 2017), which focused on the DMN, confirmed that the alpha band oscillations play a pivotal role in supporting functional interactions between all network nodes, and documented that beta and gamma band oscillations support interactions between relatively closer node pairs (Samogin et al, 2019) It remains to be elucidated whether and to which extent the findings obtained for the DMN generalize to other RSNs. Several studies suggested that oscillations at higher and lower frequencies may support short- and long-range connectivity patterns, respectively (Jones, Pinto, Kaper, & Kopell, 2000; Kopell, Ermentrout, Whittington, & Traub, 2000; Lopes da Silva, 2013). A second hypothesis that was tested, was that other frequency bands may show the largest difference between within-network and betweennetwork connectivity
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
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.
