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Visualization of spatiotemporal patterns of EEG rhythms during voluntary movements

Ou Bai, G. Nolte, M. Zoltan, S. Vorbach, M. Hallett

NINDS, Nat. Inst. of Health, Bethesda, MD, USA

Conference Proceeding: Proceedings of the IEEE Symposium on Computer-Based Medical Systems 07/2004; DOI: 10.1109/CBMS.2004.1311726ISBN: 0-7695-2104-5In proceeding of: Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on

Abstract

The power change of electroencephalographs (EEG) rhythms is an indicator to investigate neuronal activation underlying EEG electrodes. We developed a software routine for analysis and visualization of spatiotemporal patterns of EEG oscillations: event-related desynchronization (ERD) and event-related synchronization (ERS). Further, the spatiotemporal representation of task-related coherence (TRC) was also proposed for investigation of interregional neuronal connectivity. As concurrent artifacts and volume conduction effect may result incorrect or spatially blurred estimation of EEG features, we have embedded data preprocessing functions to reduce these effects including: correcting eye movement-related artifact, changing reference methods and spatial filtering undesirable neuronal activity. These functions were subsequently applied to study EEG time-frequency patterns during self-paced movements in normal volunteers.

Source: IEEE Xplore

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Keywords

concurrent artifacts
 
correcting eye movement-related artifact
 
data preprocessing functions
 
EEG
 
EEG electrodes
 
EEG features
 
EEG oscillations
 
electroencephalographs
 
interregional neuronal connectivity
 
normal volunteers
 
power change
 
reference methods
 
self-paced movements
 
software routine
 
spatiotemporal patterns
 
spatiotemporal representation
 
study EEG time-frequency patterns
 
undesirable neuronal activity