Enhancement of Brain Network of Alpha Band in Motor Imagery Based on Transcranial Electrical Stimulation

Autor:	Maoqin Peng, Yun Qin, Danwei Lai, Zhihong Liu, Dongrui Gao, Tiejun Liu
Rok vydání:	2022
Předmět:	History Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2303:012060
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2303/1/012060
Popis:	Brain network function underlies the sensorimotor rhythms in MI and involved in BCI performance among different individuals. This article aimed to improve the MI-BCI applicability by enhancing the brain network metrics of the alpha band, which includes the brain network using imaginary coherence, and the local and global network properties based on the graph theory. The MI tasks with transcranial electrical stimulation (tES) was applied to enhance the brain metrics. The results suggested that both tACS and tDCS can enhance the connection strength within the contralateral hemisphere and can improve the brain network metrics in the contralateral of the brain. This study established the relationship between tES and network properties, and provided research guidance for the application of tES in BCI.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d3363abef3f74e9cf6753ed16bac129f https://doi.org/10.1088/1742-6596/2303/1/012060 Zobrazit plný text záznamu