Shared and connection-specific intrinsic interactions in the default mode network.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 10 2019
Historique:
received: 22 12 2018
revised: 24 04 2019
accepted: 04 07 2019
pubmed: 8 7 2019
medline: 21 3 2020
entrez: 8 7 2019
Statut: ppublish

Résumé

Electrophysiological studies revealed that different neuronal oscillations, among which the alpha (8-13 Hz) rhythm in particular, but also the beta (13-30 Hz) and gamma (30-80 Hz) rhythms, are modulated during rest in the default mode network (DMN). Little is known, however, about the role of these rhythms in supporting DMN connectivity. Biophysical studies suggest that lower and higher frequencies mediate long- and short-range connectivity, respectively. Accordingly, we hypothesized that interactions between all DMN areas are supported by the alpha rhythm, and that the connectivity between specific DMN areas is established through other frequencies, mainly in the beta and/or gamma bands. To test this hypothesis, we used high-density electroencefalographic data collected in 19 healthy volunteers at rest. We analyzed frequency-dependent functional interactions between four main DMN nodes in a broad (1-80 Hz) frequency range. In line with our hypothesis, we found that the frequency-dependent connectivity profile between pairs of DMN nodes had a peak at 9-11 Hz. Also, the connectivity profile showed other peaks at higher frequencies, which depended on the specific connection. Overall, our findings suggest that frequency-dependent connectivity analysis may be a powerful tool to better understand how different neuronal oscillations support connectivity within and between brain networks.

Identifiants

pubmed: 31280013
pii: S1053-8119(19)30575-0
doi: 10.1016/j.neuroimage.2019.07.007
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

474-481

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Jessica Samogin (J)

Research Center for Motor Control and Neuroplasticity, KU Leuven, 3001, Leuven, Belgium.

Quanying Liu (Q)

Research Center for Motor Control and Neuroplasticity, KU Leuven, 3001, Leuven, Belgium; Neural Control of Movement Laboratory, ETH Zurich, 8057, Zurich, Switzerland; Division of Engineering and Applied Science, California Institute of Technology, Pasadena, United States; Huntington Medical Research Institutes, Pasadena, United States.

Marco Marino (M)

Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, 30126, Venice, Italy.

Nicole Wenderoth (N)

Research Center for Motor Control and Neuroplasticity, KU Leuven, 3001, Leuven, Belgium; Neural Control of Movement Laboratory, ETH Zurich, 8057, Zurich, Switzerland.

Dante Mantini (D)

Research Center for Motor Control and Neuroplasticity, KU Leuven, 3001, Leuven, Belgium; Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, 30126, Venice, Italy. Electronic address: dante.mantini@kuleuven.be.

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