Brain Connectivity Changes During Bimanual and Rotated Motor Imagery

IEEE J Transl Eng Health Med. 2022 Apr 14:10:2100408. doi: 10.1109/JTEHM.2022.3167552. eCollection 2022.

Abstract

Motor imagery-based brain-computer interface (MI-BCI) currently represents a new trend in rehabilitation. However, individual differences in the responsive frequency bands and a poor understanding of the communication between the ipsilesional motor areas and other regions limit the use of MI-BCI therapy. Objective: Bimanual training has recently attracted attention as it achieves better outcomes as compared to repetitive one-handed training. This study compared the effects of three MI tasks with different visual feedback. Methods: Fourteen healthy subjects performed single hand motor imagery tasks while watching single static hand (traditional MI), single hand with rotation movement (rmMI), and bimanual coordination with a hand pedal exerciser (bcMI). Functional connectivity is estimated by Transfer Entropy (TE) analysis for brain information flow. Results: Brain connectivity of conducting three MI tasks showed that the bcMI demonstrated increased communications from the parietal to the bilateral prefrontal areas and increased contralateral connections between motor-related zones and spatial processing regions. Discussion/Conclusion: The results revealed bimanual coordination operation events increased spatial information and motor planning under the motor imagery task. And the proposed bimanual coordination MI-BCI (bcMI-BCI) can also achieve the effect of traditional motor imagery tasks and promotes more effective connections with different brain regions to better integrate motor-cortex functions for aiding the development of more effective MI-BCI therapy. Clinical and Translational Impact Statement The proposed bcMI-BCI provides more effective connections with different brain areas and integrates motor-cortex functions to promote motor imagery rehabilitation for patients' impairment.

Keywords: Bimanual coordination; brain connectivity; motor imagery.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brain
  • Brain-Computer Interfaces*
  • Humans
  • Imagery, Psychotherapy / methods
  • Motor Cortex*
  • Movement

Grants and funding

This work was supported in part by the Ministry of Science and Technology, Taiwan, under Contract MOST 106-2218-E-009-027-MY3, Contract MOST 109-2221-E-009-050-MY2, and Contract MOST 110-2221-E-A49-130-MY2; and in part by the Australian Research Council (ARC) under Discovery under Grant DP210101093 and Grant DP220100803.