Brain connectivity at different time-scales measured with EEG

Koenig, T; Studer, D; Hubl, D; Melie, L; Strik, WK (2005). Brain connectivity at different time-scales measured with EEG. Philosophical transactions of the Royal Society. Series B - biological sciences, 360(1457), pp. 1015-23. London: Royal Society of London 10.1098/rstb.2005.1649

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We present an overview of different methods for decomposing a multichannel spontaneous electroencephalogram (EEG) into sets of temporal patterns and topographic distributions. All of the methods presented here consider the scalp electric field as the basic analysis entity in space. In time, the resolution of the methods is between milliseconds (time-domain analysis), subseconds (time- and frequency-domain analysis) and seconds (frequency-domain analysis). For any of these methods, we show that large parts of the data can be explained by a small number of topographic distributions. Physically, this implies that the brain regions that generated one of those topographies must have been active with a common phase. If several brain regions are producing EEG signals at the same time and frequency, they have a strong tendency to do this in a synchronized mode. This view is illustrated by several examples (including combined EEG and functional magnetic resonance imaging (fMRI)) and a selective review of the literature. The findings are discussed in terms of short-lasting binding between different brain regions through synchronized oscillations, which could constitute a mechanism to form transient, functional neurocognitive networks.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Psychiatric Neurophysiology (discontinued)
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > UPD Murtenstrasse
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Management

UniBE Contributor:

König, Thomas; Hubl, Daniela and Strik, Werner

ISSN:

0962-8436

ISBN:

16087445

Publisher:

Royal Society of London

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:55

Last Modified:

06 Dec 2013 13:47

Publisher DOI:

10.1098/rstb.2005.1649

PubMed ID:

16087445

Web of Science ID:

000230676700015

URI:

https://boris.unibe.ch/id/eprint/23462 (FactScience: 41904)

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