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Frequency-dependent functional connectivity in resting state networks.

  • Samogin J Research Center for Motor Control and Neuroplasticity, KU Leuven, Leuven, Belgium.
  • Marino M Research Center for Motor Control and Neuroplasticity, KU Leuven, Leuven, Belgium.
  • Porcaro C Research Center for Motor Control and Neuroplasticity, KU Leuven, Leuven, Belgium.
  • Wenderoth N Neural Control of Movement Lab, Department of Health Sciences, ETH Zurich, Zurich, Switzerland.
  • Dupont P KU Leuven Brain Institute, KU Leuven, Leuven, Belgium.
  • Swinnen SP Research Center for Motor Control and Neuroplasticity, KU Leuven, Leuven, Belgium.
  • Mantini D Research Center for Motor Control and Neuroplasticity, KU Leuven, Leuven, Belgium.
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  • 2020-08-26
Published in:
  • Human brain mapping. - 2020
functional connectivity
high-density electroencephalography
neuronal communication
resting state
time-frequency analysis
English 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.
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  • English
Open access status
gold
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https://sonar.ch/global/documents/160677
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