Abstract

Event-related desynchronization/synchronization (ERD/S) is an electroencephalogram (EEG) feature widely used as control signals for Brain-Computer Interfaces (BCIs). Nevertheless, the underlying neural mechanisms and functions of ERD/S are largely unknown, thus investigating them is crucial to improve the reliability of ERD/S-based BCIs. This study aimed to identify Motor Imagery (MI) conditions that enhance ERD/S. We investigated following three questions: 1) whether target-directed MI affects ERD/S, 2) whether MI with sound imagery affects ERD/S, and 3) whether ERD/S has a body part dependency of MI. Nine participants took part in the experiments of four MI conditions; they were asked to imagine right foot dorsiflexion (F), right foot dorsiflexion and the sound of a bass drum when the sole touched the floor (FS), right leg extension (L), and right leg extension directed toward a soccer ball (LT). Statistical comparison revealed that there were significant differences between conditions L and LT in beta-band ERD and conditions F and L in beta-band ERS. These results suggest that mental rehearsal of target-directed lower limb movement without real sensory stimuli can enhance beta-band ERD; furthermore, MI of foot dorsiflexion induces significantly larger beta-band ERS than that of leg extension. These findings could be exploited for the training of BCIs such as powered prosthetics for disabled person and neurorehabilitation system for stroke patients.

Highlights

  • In rapidly aging societies, the number of stroke patients living with physical impairments is increasing

  • Previous studies established that ERD is induced during motor imagery (MI)/Motor Execution (ME)/Motor Observation (MO) and ERS is induced after termination of MI/ME/MO

  • We conducted the experiments to address three questions regarding motor imagery of the lower limb: 1) whether target-directed MI affects Event-related desynchronization/synchronization (ERD/S), 2) if MI with sound imagery affects ERD/S, and 3) whether ERD/S differs between ankle and knee movements

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Summary

Introduction

The number of stroke patients living with physical impairments is increasing. BrainComputer Interfaces (BCIs) have attracted much attention since it provides a communication channel from a human to a computer that translates brain activity into sequences of control commands for the assistance devices.

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