Istočniki električeskoj aktivnosti oblastej mozga, vovlečennych v voobraženie dviženij

0510365 - ÚI 2020 RIV RU rus J - Článek v odborném periodiku
Kerechanin, J. V. - Húsek, Dušan - Bobrov, P.D. - Fedotova, I.R. - Frolov, A. A.
Istočniki električeskoj aktivnosti oblastej mozga, vovlečennych v voobraženie dviženij.
[Sources of Electric Activity of Brain Areas Involved in Motor Imagery.]
Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I P Pavlova. Roč. 69, č. 6 (2019), s. 711-725. ISSN 0044-4677
Institucionální podpora: RVO:67985807
Klíčová slova: Brain computer interface * EEG * motor imagery * synchronization and desynchronization of EEG activity * independent component analysis * inverse EEG problem
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 0.432, rok: 2019
Způsob publikování: Omezený přístup
http://dx.doi.org/10.1134/S0044467719060066

Opisany naibolee značimye istočniki elektrofiziologičeskoj aktivnosti mozga, vydelaemye pri upravlenii interfejsom mozg-kompjuter, osnovannom na raspoznavanii patternov EEG pri voobraženii dviženij. Glavnym instrumentom ich vydelenija javlajutsa 6 metodov nezavisimych komponent (ICA), bazirujuščichsa na različnych kriterijach nezavisimosti. Pokazatelami značimosti istočnikov javlajutsa: častota ich vstrečaemosti v različnych eksperimentalnych sessijach, povtoraemosť ich vydelenija v každojj sessii različnymi metodami ICA, vlijanie každogo istočnika na točnosť raspoznavanija patternov EEG, sootvetstvujuščich voobraženiju različnych dviženij, i vozmožnosť ich approksimacii aktivnostju ediničnogo tokovogo dipolja. Po sovokupnosti pokazatelej vydeleny 5 istočnikov, raspoložennych v pervičoj somatosensornoj kore oboich polušarij, v levoj premotornoj oblasti, v dopolnitelnoj motornoj oblasti i predkline. Obsuždaetsja funkcionalnoe značenie etich istočnikov v ramkach sovremennych predstavlenij o vzaimodejstvii oblastej mozga, obespečivajuščich vypolnenie dvigatelnych funkcij.

The most significant sources of electrophysiological brain activity, identified during controlling the brain-computer interface based on the recognition of EEG patterns corresponding to motor imagery, are described. The main tool for their revealing are 6 methods of Independent Component Analysis (ICA), based on different independency criteria. Indices of the sources significance are: the frequency of their occurrence in the experimental sessions, the repeatability of their revealing in each session by various ICA methods, the influence of each source on the accuracy of recognition of EEG patterns corresponding to the imagination of different movements, and the possibility of their approximation by the activity of a single current dipole. Basing on a combination of indices, 5 sources, located in the primary somatosensory cortex of the both hemispheres, in the left premotor area, in the supplementary motor area and in the precuneus. The functional significance of these sources is discussed in the framework of modern knowledge on the interaction of brain areas that provide the performance of motor functions.
Trvalý link: http://hdl.handle.net/11104/0300881