Titre
Subcortical electrophysiological activity is detectable with high-density EEG source imaging.
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Seeber, M.
Auteure/Auteur
Cantonas, L.M.
Auteure/Auteur
Hoevels, M.
Auteure/Auteur
Sesia, T.
Auteure/Auteur
Visser-Vandewalle, V.
Auteure/Auteur
Michel, C.M.
Auteure/Auteur
Liens vers les unités
ISSN
2041-1723
Statut éditorial
Publié
Date de publication
2019-02-14
Volume
10
Numéro
1
Première page
753
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Publication Status: epublish
Résumé
Subcortical neuronal activity is highly relevant for mediating communication in large-scale brain networks. While electroencephalographic (EEG) recordings provide appropriate temporal resolution and coverage to study whole brain dynamics, the feasibility to detect subcortical signals is a matter of debate. Here, we investigate if scalp EEG can detect and correctly localize signals recorded with intracranial electrodes placed in the centromedial thalamus, and in the nucleus accumbens. Externalization of deep brain stimulation (DBS) electrodes, placed in these regions, provides the unique opportunity to record subcortical activity simultaneously with high-density (256 channel) scalp EEG. In three patients during rest with eyes closed, we found significant correlation between alpha envelopes derived from intracranial and EEG source reconstructed signals. Highest correlation was found for source signals in close proximity to the actual recording sites, given by the DBS electrode locations. Therefore, we present direct evidence that scalp EEG indeed can sense subcortical signals.
Sujets
PID Serval
serval:BIB_9F23DF4256C1
PMID
Open Access
Oui
Date de création
2019-03-31T13:30:01.488Z
Date de création dans IRIS
2025-05-20T22:42:34Z
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Nom
30765707_BIB_9F23DF4256C1.pdf
Version du manuscrit
published
Licence
https://creativecommons.org/licenses/by/4.0
Taille
1.99 MB
Format
Adobe PDF
PID Serval
serval:BIB_9F23DF4256C1.P001
URN
urn:nbn:ch:serval-BIB_9F23DF4256C12
Somme de contrôle
(MD5):e16bc87ef069a9557c2b6ae931e0b70f