NDLI: Brain connectivity at different time-scales measured with EEG

Content Provider	PubMed Central
Author	Koenig, T. Studer, D. Hubl, D. Melie, L. Strik, W. K
Copyright Year	2005
Abstract	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.
Related Links	http://dx.doi.org/10.1098/rstb.2005.1649
Ending Page	1024
Page Count	10
Starting Page	1015
File Format	PDF
ISSN	09628436
e-ISSN	14712970
Journal	Philosophical Transactions of the Royal Society B: Biological Sciences
Issue Number	1457
Volume Number	360
Language	English
Publisher	The Royal Society
Publisher Date	2005-05-29
Access Restriction	Open
Rights Holder	The Royal Society
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Biochemistry, Genetics and Molecular Biology Agricultural and Biological Sciences

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