Functional cortical hubs in the eyes-closed resting human brain from an electrophysiological perspective using magnetoencephalography

It is not clear whether specific brain areas act as hubs in the eyes-closed (EC) resting state, which is an unconstrained state free from any passive or active tasks. Here, we used electrophysiological magnetoencephalography (MEG) signals to study functional cortical hubs in 88 participants. We iden...

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Veröffentlicht in:PloS one 2013-07, Vol.8 (7), p.e68192-e68192
Hauptverfasser: Jin, Seung-Hyun, Jeong, Woorim, Seol, Jaeho, Kwon, Jiyeon, Chung, Chun Kee
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creator Jin, Seung-Hyun
Jeong, Woorim
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Chung, Chun Kee
description It is not clear whether specific brain areas act as hubs in the eyes-closed (EC) resting state, which is an unconstrained state free from any passive or active tasks. Here, we used electrophysiological magnetoencephalography (MEG) signals to study functional cortical hubs in 88 participants. We identified several multispectral cortical hubs. Although cortical hubs vary slightly with different applied measures and frequency bands, the most consistent hubs were observed in the medial and posterior cingulate cortex, the left dorsolateral superior frontal cortex, and the left pole of the middle temporal cortex. Hubs were characterized as connector nodes integrating EC resting state functional networks. Hubs in the gamma band were more likely to include midline structures. Our results confirm the existence of multispectral cortical cores in EC resting state functional networks based on MEG and imply the existence of optimized functional networks in the resting brain.
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subjects Adolescent
Adult
Biology
Brain
Brain research
Brain Waves
Cerebral Cortex - physiology
Cores
Cortex (cingulate)
Cortex (frontal)
Cortex (temporal)
Electrophysiological Phenomena
Female
Frequencies
Hubs
Humans
Hypotheses
Magnetoencephalography
Male
Medical research
Medicine
Networks
Neurosciences
Neurosurgery
Rest
Studies
Young Adult
title Functional cortical hubs in the eyes-closed resting human brain from an electrophysiological perspective using magnetoencephalography
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