Electrophysiological Brain Activity during the Control of a Motor Imagery-Based Brain–Computer Interface

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F17%3A00476821" target="_blank" >RIV/67985807:_____/17:00476821 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/17:10241902

Výsledek na webu

<a href="http://dx.doi.org/10.1134/S036211971705005X" target="_blank" >http://dx.doi.org/10.1134/S036211971705005X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1134/S036211971705005X" target="_blank" >10.1134/S036211971705005X</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Electrophysiological Brain Activity during the Control of a Motor Imagery-Based Brain–Computer Interface

Popis výsledku v původním jazyce

This article considers the features of five electroencephalogram patterns that are most frequently extracted by the independent component analysis when subjects imagine the movement of their hands during the control of a brain-computer interface (BCI). The solution of the EEG inverse problem using the individual geometrical head model shows that the sources of the revealed patterns are located at the bottom of the left and right central sulci, as well as in the left premotor cortex, supplementary motor area, and precuneus. The functional value of the patterns is discussed by comparing the location results with the results of the metaanalysis of the published data that were obtained using a functional magnetic resonance imaging. The source locations are the same for seven healthy subjects and four poststroke patients with subcortical damage location. However, despite the same locations, the two groups of subjects significantly differed in the frequency characteristics of the revealed patterns. In particular, the patients had no clearly pronounced activity in the upper alpha-band and were characterized by a much lower level of inhibition of rates in the primary somatosensory areas during motor imagery.

Název v anglickém jazyce

Electrophysiological Brain Activity during the Control of a Motor Imagery-Based Brain–Computer Interface

Popis výsledku anglicky

This article considers the features of five electroencephalogram patterns that are most frequently extracted by the independent component analysis when subjects imagine the movement of their hands during the control of a brain-computer interface (BCI). The solution of the EEG inverse problem using the individual geometrical head model shows that the sources of the revealed patterns are located at the bottom of the left and right central sulci, as well as in the left premotor cortex, supplementary motor area, and precuneus. The functional value of the patterns is discussed by comparing the location results with the results of the metaanalysis of the published data that were obtained using a functional magnetic resonance imaging. The source locations are the same for seven healthy subjects and four poststroke patients with subcortical damage location. However, despite the same locations, the two groups of subjects significantly differed in the frequency characteristics of the revealed patterns. In particular, the patients had no clearly pronounced activity in the upper alpha-band and were characterized by a much lower level of inhibition of rates in the primary somatosensory areas during motor imagery.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Human Physiology

ISSN

0362-1197

e-ISSN

—

Svazek periodika

43

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

11

Strana od-do

501-511

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85031753033