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Brain–Computer Interface Based on Motor Imagery: The Most Relevant Sources of Electrical Brain Activity

Brain–Computer Interface Based on Motor Imagery: The Most Relevant Sources of Electrical Brain Activity

Authors :
Jaroslav Tintěra
P. D. Bobrov
Vaclav Snasel
Dušan Húsek
Jan Rydlo
Alexander A. Frolov
O. A. Mokienko
Source :
Advances in Intelligent Systems and Computing ISBN: 9783319009292
Publication Year :
2013
Publisher :
Springer International Publishing, 2013.

Abstract

Examined are sources of brain activity, contributing to EEG patterns which correspond to motor imagery during training to control brain–computer interface (BCI). To identify individual source contribution into EEG recorded during the training, Independent Component Analysis (ICA) was employed. Those independent components, for which the BCI system classification accuracy was at maximum, were treated as relevant to performing the motor imagery tasks. Activities of the three most relevant components demonstrate well exposed event related desynchronization (ERD) and event related synchronization (ERS) of the mu-rhythm during imagining of contra- and ipsilateral hand and feet movements. To reveal neurophysiological nature of these components we solved the inverse EEG problem in order to localize the sources of brain activity causing these components to appear in EEG. Individual geometry of brain and its covers provided by anatomical MR images, was taken into account when localizing the sources. The sources were located in hand and feet representation areas of the primary somatosensory cortex (Brodmann areas 3a). Their positions were close to foci of BOLD activity obtained in fMRI study.

Details

ISBN :
978-3-319-00929-2
ISBNs :
9783319009292
Database :
OpenAIRE
Journal :
Advances in Intelligent Systems and Computing ISBN: 9783319009292
Accession number :
edsair.doi...........d3ce39cb1e36d1f64a4e2ccc94f7128a
Full Text :
https://doi.org/10.1007/978-3-319-00930-8_14