Universität zu Köln

Seeber, Martin ORCID: 0000-0002-7891-5636, Cantonas, Lucia-Manuela, Hoevels, Mauritius, Sesia, Thibaut ORCID: 0000-0003-1761-4458, Visser-Vandewalle, Veerle and Michel, Christoph M. (2019). Subcortical electrophysiological activity is detectable with high-density EEG source imaging. Nat. Commun., 10. LONDON: NATURE PUBLISHING GROUP. ISSN 2041-1723

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Abstract

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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Seeber, Martin UNSPECIFIED orcid.org/0000-0002-7891-5636 UNSPECIFIED Cantonas, Lucia-Manuela UNSPECIFIED UNSPECIFIED UNSPECIFIED Hoevels, Mauritius UNSPECIFIED UNSPECIFIED UNSPECIFIED Sesia, Thibaut UNSPECIFIED orcid.org/0000-0003-1761-4458 UNSPECIFIED Visser-Vandewalle, Veerle UNSPECIFIED UNSPECIFIED UNSPECIFIED Michel, Christoph M. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-156634
DOI:	10.1038/s41467-019-08725-w
Journal or Publication Title:	Nat. Commun.
Volume:	10
Date:	2019
Publisher:	NATURE PUBLISHING GROUP
Place of Publication:	LONDON
ISSN:	2041-1723
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ALPHA RHYTHMS; MEG; SEGMENTATION; LOCALIZATION; SPECTRA; MODEL Multiple languages Multidisciplinary Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/15663