dc.contributor.author | Coolen, Tim | |
dc.contributor.author | Wens, Vincent | |
dc.contributor.author | Vander Ghinst, Marc | |
dc.contributor.author | Mary, Alison | |
dc.contributor.author | Bourguignon, Mathieu | |
dc.contributor.author | Naeije, Gilles | |
dc.contributor.author | Peigneux, Philippe | |
dc.contributor.author | Sadeghi, Niloufar | |
dc.contributor.author | Goldman, Serge | |
dc.contributor.author | De Tiège, Xavier | |
dc.date.accessioned | 2020-06-22T10:53:11Z | |
dc.date.available | 2020-06-22T10:53:11Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Coolen T, Wens V, Vander Ghinst M, Mary A, Bourguignon M, Naeije G, Peigneux P, Sadeghi N, Goldman S and De Tiège X (2020) Frequency-Dependent Intrinsic Electrophysiological Functional Architecture of the Human Verbal Language Network. Front. Integr. Neurosci. 14:27. doi: 10.3389/fnint.2020.00027 | es_ES |
dc.identifier.issn | 1662-5145 | |
dc.identifier.uri | http://hdl.handle.net/10810/44103 | |
dc.description | Published: 26 May 2020 | es_ES |
dc.description.abstract | Functional magnetic resonance imaging (fMRI) allowed the spatial characterization of the
resting-state verbal language network (vLN). While other resting-state networks (RSNs)
were matched with their electrophysiological equivalents at rest and could be spectrally
defined, such correspondence is lacking for the vLN. This magnetoencephalography
(MEG) study aimed at defining the spatio-spectral characteristics of the neuromagnetic
intrinsic functional architecture of the vLN. Neuromagnetic activity was recorded at rest in
100 right-handed healthy adults (age range: 18–41 years). Band-limited power envelope
correlations were performed within and across frequency bands (", a, b, and low g)
from a seed region placed in the left Broca’s area, using static orthogonalization as
leakage correction. K-means clustering was used to segregate spatio-spectral clusters
of resting-state functional connectivity (rsFC). Remarkably, unlike other RSNs, withinfrequency
long-range rsFC from the left Broca’s area was not driven by one main carrying
frequency but was characterized by a specific spatio-spectral pattern segregated along
the ventral (predominantly " and a) and dorsal (b and low-g bands) vLN streams. In
contrast, spatial patterns of cross-frequency vLN functional integration were spectrally
more widespread and involved multiple frequency bands. Moreover, the static intrinsic
functional architecture of the neuromagnetic human vLN involved clearly left-hemispheredominant
vLN interactions as well as cross-network interactions with the executive
control network and postero-medial nodes of the DMN. Overall, this study highlighted the
involvement of multiple modes of within and cross-frequency power envelope couplings
at the basis of long-range electrophysiological vLN functional integration. As such, it lays
the foundation for future works aimed at understanding the pathophysiology of languagerelated
disorders. | es_ES |
dc.description.sponsorship | TC is Clinical Master Specialist Applicant to a PhD at the Fonds
de la Recherche Scientifique (FRS-FNRS, Brussels, Belgium).MV
has been supported by the Fonds Erasme (Brussels, Belgium).
GN and XDT are Postdoctorate Clinical Master Specialists at
the FRS-FNRS (Brussels, Belgium). This study and the MEG
project at the CUB HOopital Erasme are financially supported by
the Fonds Erasme (Research Convention ‘‘Les Voies du Savoir,’’
Brussels, Belgium). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Frontiers in Integrative Neuroscience | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | language | es_ES |
dc.subject | magnetoencephalography | es_ES |
dc.subject | rest | es_ES |
dc.subject | brain mapping | es_ES |
dc.subject | nerve net | es_ES |
dc.subject | neuroimaging | es_ES |
dc.subject | humans | es_ES |
dc.title | Frequency-Dependent Intrinsic Electrophysiological Functional Architecture of the Human Verbal Language Network | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | Copyright © 2020 Coolen, Wens, Vander Ghinst, Mary, Bourguignon, Naeije, Peigneux, Sadeghi, Goldman and De Tiège. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. | es_ES |
dc.relation.publisherversion | https://www.frontiersin.org/journals/integrative-neuroscience# | es_ES |
dc.identifier.doi | 10.3389/fnint.2020.00027 | |