Brain connectivity at different time-scales measured with EEG

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 reso...

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Bibliographic Details
Published in:Philosophical transactions of the Royal Society of London. Series B. Biological sciences 2005-05, Vol.360 (1457), p.1015-1024
Main Authors: Koenig, T, Studer, D, Hubl, D, Melie, L, Strik, W.K
Format: Article
Language:English
Subjects:
Brain
Brain - anatomy & histology
Brain - physiology
Brain Mapping - methods
Combined Electroencephalogram-Functional Magnetic Resonance Imaging
Connected regions
Connectivity
Connectivity from EEG and EEG-fMRI Experiments
Electric fields
Electrodes
Electroencephalography
Electroencephalography - methods
Humans
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Microstates
Models, Neurological
Oscillometry
Personal computers
Scalp
Statistical variance
Synchronous Neural Oscillations
Time Factors
Transient Binding
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Summary: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.
ISSN:0962-8436
1471-2970
DOI:10.1098/rstb.2005.1649