Brain Connectivity Changes During Bimanual and Rotated Motor Imagery
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 the...
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IEEE
2022-01-01
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Series: | IEEE Journal of Translational Engineering in Health and Medicine |
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Online Access: | https://ieeexplore.ieee.org/document/9757148/ |
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author | Jung-Tai King Alka Rachel John Yu-Kai Wang Chun-Kai Shih Dingguo Zhang Kuan-Chih Huang Chin-Teng Lin |
author_facet | Jung-Tai King Alka Rachel John Yu-Kai Wang Chun-Kai Shih Dingguo Zhang Kuan-Chih Huang Chin-Teng Lin |
author_sort | Jung-Tai King |
collection | DOAJ |
description | 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. <bold>Objective:</bold> 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. <bold>Methods:</bold> 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. <bold>Results:</bold> 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. <bold>Discussion/Conclusion:</bold> 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. <italic>Clinical and Translational Impact Statement</italic> 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. |
first_indexed | 2024-12-10T10:11:59Z |
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id | doaj.art-eb1566c433584a959385c2a9f62b28b7 |
institution | Directory Open Access Journal |
issn | 2168-2372 |
language | English |
last_indexed | 2024-12-10T10:11:59Z |
publishDate | 2022-01-01 |
publisher | IEEE |
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series | IEEE Journal of Translational Engineering in Health and Medicine |
spelling | doaj.art-eb1566c433584a959385c2a9f62b28b72022-12-22T01:53:07ZengIEEEIEEE Journal of Translational Engineering in Health and Medicine2168-23722022-01-01101810.1109/JTEHM.2022.31675529757148Brain Connectivity Changes During Bimanual and Rotated Motor ImageryJung-Tai King0Alka Rachel John1Yu-Kai Wang2https://orcid.org/0000-0001-8390-2664Chun-Kai Shih3Dingguo Zhang4https://orcid.org/0000-0003-4803-7489Kuan-Chih Huang5https://orcid.org/0000-0001-7100-8091Chin-Teng Lin6https://orcid.org/0000-0001-8371-8197Brain Research Center, National Yang Ming Chiao Tung University, Hsinchu, TaiwanCIBCI Laboratory, Australian AI Institute, FEIT, University of Technology Sydney, Ultimo, NSW, AustraliaCIBCI Laboratory, Australian AI Institute, FEIT, University of Technology Sydney, Ultimo, NSW, AustraliaBrain Research Center, National Yang Ming Chiao Tung University, Hsinchu, TaiwanDepartment of Electronic and Electrical Engineering, University of Bath, Bath, U.K.Brain Research Center, National Yang Ming Chiao Tung University, Hsinchu, TaiwanBrain Research Center, National Yang Ming Chiao Tung University, Hsinchu, TaiwanMotor 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. <bold>Objective:</bold> 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. <bold>Methods:</bold> 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. <bold>Results:</bold> 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. <bold>Discussion/Conclusion:</bold> 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. <italic>Clinical and Translational Impact Statement</italic> 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.https://ieeexplore.ieee.org/document/9757148/Bimanual coordinationmotor imagerybrain connectivity |
spellingShingle | Jung-Tai King Alka Rachel John Yu-Kai Wang Chun-Kai Shih Dingguo Zhang Kuan-Chih Huang Chin-Teng Lin Brain Connectivity Changes During Bimanual and Rotated Motor Imagery IEEE Journal of Translational Engineering in Health and Medicine Bimanual coordination motor imagery brain connectivity |
title | Brain Connectivity Changes During Bimanual and Rotated Motor Imagery |
title_full | Brain Connectivity Changes During Bimanual and Rotated Motor Imagery |
title_fullStr | Brain Connectivity Changes During Bimanual and Rotated Motor Imagery |
title_full_unstemmed | Brain Connectivity Changes During Bimanual and Rotated Motor Imagery |
title_short | Brain Connectivity Changes During Bimanual and Rotated Motor Imagery |
title_sort | brain connectivity changes during bimanual and rotated motor imagery |
topic | Bimanual coordination motor imagery brain connectivity |
url | https://ieeexplore.ieee.org/document/9757148/ |
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