Electrophysiological activity underlying motor inhibition facilitated by touch

Tactile sensory information obtained from oneself or others may provide a calming effect and has been shown to enhance participants' motor control. The extent to which these touch activities may support motor inhibition and the related electrophysiological mechanisms remain unknown. Here, we investigated these effects in twenty healthy volunteers via electroencephalography under 3 touching conditions (self-touch, other-touch, and no-touch) during a stop-signal task. We found that both the self-touch and other-touch conditions resulted in better stopping accuracy and lower stop-signal reaction times than the no-touch condition. Additionally, these 2 touch conditions elicited larger N2 and P3 responses during successful inhibition of planned finger movements. Time-varying network analysis based on electroencephalography was further used to explore the differences in brain networks during conflict monitoring substages under different touch conditions. A top-down projection from the frontal cortex (Fz) to the parietal and occipital cortices was observed along with increased functional connectivity efficiency under touch conditions. These results indicate that tactile information may enhance neural processing efficiency in the human brain by eliciting larger event-related potential components and promoting information processing in the brain network during conflict monitoring processes, thereby contributing to the reactive inhibitory component of motor inhibition.

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Publication Details

Journal
Cerebral Cortex
Published
2025-02-01
DOI
https://doi.org/10.1093/cercor/bhaf009
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Electrophysiological activity underlying motor inhibition facilitated by touch

Yuting Tang, Jianlin Ou, Houmin Wang, Jinyi Long et al.
Cerebral Cortex
EEG and Brain-Computer Interfaces
article

Electrophysiological activity underlying motor inhibition facilitated by touch

Yuting Tang, Jianlin Ou, Houmin Wang, Jinyi Long, Yuxin Gao, Xiaotong Zhang, Zhuoming Chen
article en

Abstract

Tactile sensory information obtained from oneself or others may provide a calming effect and has been shown to enhance participants' motor control. The extent to which these touch activities may support motor inhibition and the related electrophysiological mechanisms remain unknown. Here, we investigated these effects in twenty healthy volunteers via electroencephalography under 3 touching conditions (self-touch, other-touch, and no-touch) during a stop-signal task. We found that both the self-touch and other-touch conditions resulted in better stopping accuracy and lower stop-signal reaction times than the no-touch condition. Additionally, these 2 touch conditions elicited larger N2 and P3 responses during successful inhibition of planned finger movements. Time-varying network analysis based on electroencephalography was further used to explore the differences in brain networks during conflict monitoring substages under different touch conditions. A top-down projection from the frontal cortex (Fz) to the parietal and occipital cortices was observed along with increased functional connectivity efficiency under touch conditions. These results indicate that tactile information may enhance neural processing efficiency in the human brain by eliciting larger event-related potential components and promoting information processing in the brain network during conflict monitoring processes, thereby contributing to the reactive inhibitory component of motor inhibition.

Cerebral CortexVol. 35(2)
Beijing Normal-Hong Kong Baptist University (CN), Hong Kong Baptist University (HK), Jinan University (CN), Beijing Normal University (CN), First Affiliated Hospital of Jinan University (CN), Guangdong Ocean University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Science and Technology Planning Project of Guangdong Province
Openalex Percentile: Top 98%
EEG and Brain-Computer Interfaces
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