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

  • Alexander A. Frolov
  • Dušan Húsek
  • Václav Snášel
  • Pavel Bobrov
  • Olesya Mokienko
  • Jaroslav Tintěra
  • Jan Rydlo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 223)


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.


Image and signal processing Brain–Computer interface Independent component analysis EEG pattern classification fMRI Motor imagery Pattern recognition 



This work was supported by the European Regional Development Fund in the IT4Innovations Centre of Excellence project (CZ.1.05/1.1.00/02.0070) and by the Bio-Inspired Methods: research, development and knowledge transfer project, reg. no. CZ.1.07/2.3.00/20.0073 funded by Operational Programme Education for Competitiveness, co-financed by ESF and state budget of the Czech Republic, by Institute of Computer Science from its long-term strategic development financing budget RVO:67985807, and by RFBR grant 11-04-12025.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Alexander A. Frolov
    • 2
    • 1
  • Dušan Húsek
    • 2
    • 3
  • Václav Snášel
    • 2
  • Pavel Bobrov
    • 2
    • 1
  • Olesya Mokienko
    • 1
  • Jaroslav Tintěra
    • 4
  • Jan Rydlo
    • 4
  1. 1.Institute for Higher Nervous Activity and Neurophysiology of Russian Academy of SciencesMoscowRussian Federation
  2. 2.VSB Technical University of OstravaOstravaCzech Republic
  3. 3.Institute of Computer ScienceAcademy of Sciences of the Czech RepublicPrague 8Czech Republic
  4. 4.Institute for Clinical and Experimental MedicinePrahaCzech Republic

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