Localization of Brain Electrical Activity Sources and Hemodynamic Activity Foci during Motor Imagery
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092428" target="_blank" >RIV/61989100:27240/14:86092428 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/67985807:_____/14:00428357 RIV/61989100:27740/14:86092428
Výsledek na webu
<a href="http://dx.doi.org/10.1134/S0362119714030062" target="_blank" >http://dx.doi.org/10.1134/S0362119714030062</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1134/S0362119714030062" target="_blank" >10.1134/S0362119714030062</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Localization of Brain Electrical Activity Sources and Hemodynamic Activity Foci during Motor Imagery
Popis výsledku v původním jazyce
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 somatosensor
Název v anglickém jazyce
Localization of Brain Electrical Activity Sources and Hemodynamic Activity Foci during Motor Imagery
Popis výsledku anglicky
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 somatosensor
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/EE.2.3.20.0073" target="_blank" >EE.2.3.20.0073: Bio-inspirované metody: věda, vzdělávání a transfer znalostí</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Human Physiology
ISSN
0362-1197
e-ISSN
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Svazek periodika
40
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
RU - Ruská federace
Počet stran výsledku
11
Strana od-do
273-283
Kód UT WoS článku
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EID výsledku v databázi Scopus
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