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Localization of Brain Electrical Activity Sources and Hemodynamic Activity Foci during Motor Imagery
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SYSNO ASEP 0428357 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve SCOPUS Title Localization of Brain Electrical Activity Sources and Hemodynamic Activity Foci during Motor Imagery Author(s) Frolov, A. A. (RU)
Húsek, Dušan (UIVT-O) RID, SAI, ORCID
Mokienko, O. (RU)
Bobrov, P. (RU)
Chernikova, L. (RU)
Konovalov, R. (RU)Source Title Human Physiology - ISSN 0362-1197
Roč. 40, č. 3 (2014), s. 273-283Number of pages 11 s. Language eng - English Country DE - Germany Keywords brain computer interface ; independent component analysis ; EEG pattern classification ; motor imagery ; inverse EEG problem Subject RIV IN - Informatics, Computer Science Institutional support UIVT-O - RVO:67985807 EID SCOPUS 84902333840 DOI 10.1134/S0362119714030062 Annotation The sources of brain activity that make the maximum contribution to EEG patterns corresponding to motor imagery have been studied. The accuracy of their classification determines the efficiency of brain-computer interface (BCI) for controlling external technical devices directly by brain signals, without the involvement of muscle activity. Brain activity sources are identified by independent component analysis. The independent components providing the maximum BCI classification accuracy are considered relevant for the motor imagery task. The two most relevant sources exhibit clearly marked event related desynchronization and synchronization of the mi-rhythm during the imagery of contra and ipsilateral hand movements. These sources were localized by solving the inverse EEG problem with due consideration for individual geometry of the brain and its covers, as determined by magnetic resonance imaging. Each of the sources was shown to be localized in the 3a area of the primary somatosensory cortex corresponding to proprioceptive sensitivity of the contralateral hand. Their positions were close to the foci of BOLD activity obtained by fMRI. Original Russian text: A.A. Frolov, D. Husek, P.D. Bobrov, O.A. Mokienko, L.A. Chernikova, R.N. Konovalov, 2014, published in Fiziologiya Cheloveka, 2014, Vol. 40, No. 3, pp. 45–56. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2015
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