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Updated: Jan 29, 2026

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Published on: February 4, 2016

運動イメージにおけるタスク前電気刺激後の皮質活性化と皮質筋結合の強化に関する研究

Xiaoyang Suo¹, Weida Li², Xiaojian Liao³

¹School of Mechanical and Electrical Engineering, Soochow University, No.8,Jixue Road, Xiangcheng District, Suzhou, China, Suzhou, 215137, CHINA.

Journal of neural engineering

|January 27, 2026

要旨

Objective:

Motor imagery-based brain-computer interfaces (MI-BCIs) have been extensively studied. However, their widespread application is limited by the difficulty in extracting motor intentions from electroencephalography (EEG) signals, leading to low recognition rates. Additionally, the phenomenon of motor imagery blindnes s in some individuals further limits its applicability. Previous studies have attempted to improve motor imagery ability through electrical stimulation. However, applying electrical stimulation during motor imagery may introduce EEG artifacts and interfere with participants' concentration. The goal of this study is to investigate a new experimental paradigm. The new experimental paradigm improves motor imagery ability through pre-task electrical stimulation while preventing participant distraction or EEG artifacts.

Approach:

This study implemented two paradigms: motor imagery with pre-task electrical stimulation (MI-ES) and motor imagery-only (MI-Only). Electrical stimulation was applied over hand muscle groups. Electromyography (EMG) and 64-channel EEG signals were simultaneously recorded under two experimental conditions.

Main Results:

We analyzed cortical activities and correlations between different brain regions under the two experimental conditions. Participants in the MI-ES condition exhibited a higher level of brain activation compared to the MI-Only condition. Additionally, in the MI-ES condition, the correlation between participants' EEG and EMG signals increased after electrical stimulation, indicating that the activation level of the motor-related cortex increased. A novel convolutional spiking neural network was applied to classify motor intentions, with participants achieving higher accuracy under the MI-ES condition, demonstrating enhanced motor imagery ability through pre-task electrical stimulation.

Significance:

This research demonstrates that pre-task electrical stimulation significantly enhances motor imagery ability, while also increasing cortical activation and corticomuscular coupling without introducing EEG artifacts or attentional interference.

キーワード:

EEG-EMG相関皮質活性化電気刺激運動イメージ

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