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...
Gespeichert in:
Veröffentlicht in: | IEEE journal of translational engineering in health and medicine 2022-01, Vol.10, p.1-8 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 8 |
---|---|
container_issue | |
container_start_page | 1 |
container_title | IEEE journal of translational engineering in health and medicine |
container_volume | 10 |
creator | King, Jung-Tai John, Alka Rachel Wang, Yu-Kai Shih, Chun-Kai Zhang, Dingguo Huang, Kuan-Chih Lin, Chin-Teng |
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. 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. |
doi_str_mv | 10.1109/JTEHM.2022.3167552 |
format | Article |
fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_proquest_miscellaneous_2658644536</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9757148</ieee_id><doaj_id>oai_doaj_org_article_eb1566c433584a959385c2a9f62b28b7</doaj_id><sourcerecordid>2658644536</sourcerecordid><originalsourceid>FETCH-LOGICAL-c565t-f2db044b235462ce45f28142adf764eb5295dd8596adf08b628bb1976561c6ff3</originalsourceid><addsrcrecordid>eNpdkVFr2zAQx83YWEvXL7DBMOylL8msk06WXgZr2rUZLYPRPQtZll0FR-oku5BvP6VJQzu9SNz97n-n-xfFR1LNCank1593l9e3c6gA5pTwGhHeFMdAuJgBreHti_dRcZrSqspHEC5Bvi-OKDIJWNXHxcV51M6Xi-C9NaN7dOOmXNxr39tUXkzR-b48d2vtJz2U2rfl7zDq0bblbRhDLJdr3du4-VC86_SQ7On-Pin-_Li8W1zPbn5dLRffb2YGOY6zDtqmYqyB3J6DsQw7EISBbruaM9sgSGxbgZLnSCUaDqJpiKw5cmJ419GTYrnTbYNeqYeYB4sbFbRTT4EQe6Xj6MxglW0Icm4YpSiYliipQANadhyaLFtnrW87rYepWdvWWD9GPbwSfZ3x7l714VHJihGkMguc7QVi-DvZNKq1S8YOg_Y2TEkBR8EZQ8oz-uU_dBWm6POqtlTGSN5IpmBHmRhSirY7DEMqtfVcPXmutp6rvee56PPLbxxKnh3OwKcd4Ky1h7SssSZM0H-omK6P</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2655861354</pqid></control><display><type>article</type><title>Brain Connectivity Changes During Bimanual and Rotated Motor Imagery</title><source>IEEE Open Access Journals</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>King, Jung-Tai ; John, Alka Rachel ; Wang, Yu-Kai ; Shih, Chun-Kai ; Zhang, Dingguo ; Huang, Kuan-Chih ; Lin, Chin-Teng</creator><creatorcontrib>King, Jung-Tai ; John, Alka Rachel ; Wang, Yu-Kai ; Shih, Chun-Kai ; Zhang, Dingguo ; Huang, Kuan-Chih ; Lin, Chin-Teng</creatorcontrib><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. 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.</description><identifier>ISSN: 2168-2372</identifier><identifier>EISSN: 2168-2372</identifier><identifier>DOI: 10.1109/JTEHM.2022.3167552</identifier><identifier>PMID: 35492507</identifier><identifier>CODEN: IJTEBN</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Bimanual coordination ; Brain ; brain connectivity ; Brain-Computer Interfaces ; Coordination ; Electroencephalography ; Frequencies ; Human-computer interface ; Humans ; Imagery ; Imagery, Psychotherapy - methods ; Information flow ; Medical treatment ; Motor Cortex ; motor imagery ; Movement ; Neurons ; Rehabilitation ; Spatial data ; Stroke (medical condition) ; Task analysis ; Training ; Visual tasks</subject><ispartof>IEEE journal of translational engineering in health and medicine, 2022-01, Vol.10, p.1-8</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><rights>2022 Author</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c565t-f2db044b235462ce45f28142adf764eb5295dd8596adf08b628bb1976561c6ff3</citedby><cites>FETCH-LOGICAL-c565t-f2db044b235462ce45f28142adf764eb5295dd8596adf08b628bb1976561c6ff3</cites><orcidid>0000-0001-8371-8197 ; 0000-0003-4803-7489 ; 0000-0001-8390-2664 ; 0000-0001-7100-8091</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041539/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9757148$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,27610,27901,27902,53766,53768,54908</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35492507$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>King, Jung-Tai</creatorcontrib><creatorcontrib>John, Alka Rachel</creatorcontrib><creatorcontrib>Wang, Yu-Kai</creatorcontrib><creatorcontrib>Shih, Chun-Kai</creatorcontrib><creatorcontrib>Zhang, Dingguo</creatorcontrib><creatorcontrib>Huang, Kuan-Chih</creatorcontrib><creatorcontrib>Lin, Chin-Teng</creatorcontrib><title>Brain Connectivity Changes During Bimanual and Rotated Motor Imagery</title><title>IEEE journal of translational engineering in health and medicine</title><addtitle>JTEHM</addtitle><addtitle>IEEE J Transl Eng Health Med</addtitle><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. 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.</description><subject>Bimanual coordination</subject><subject>Brain</subject><subject>brain connectivity</subject><subject>Brain-Computer Interfaces</subject><subject>Coordination</subject><subject>Electroencephalography</subject><subject>Frequencies</subject><subject>Human-computer interface</subject><subject>Humans</subject><subject>Imagery</subject><subject>Imagery, Psychotherapy - methods</subject><subject>Information flow</subject><subject>Medical treatment</subject><subject>Motor Cortex</subject><subject>motor imagery</subject><subject>Movement</subject><subject>Neurons</subject><subject>Rehabilitation</subject><subject>Spatial data</subject><subject>Stroke (medical condition)</subject><subject>Task analysis</subject><subject>Training</subject><subject>Visual tasks</subject><issn>2168-2372</issn><issn>2168-2372</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNpdkVFr2zAQx83YWEvXL7DBMOylL8msk06WXgZr2rUZLYPRPQtZll0FR-oku5BvP6VJQzu9SNz97n-n-xfFR1LNCank1593l9e3c6gA5pTwGhHeFMdAuJgBreHti_dRcZrSqspHEC5Bvi-OKDIJWNXHxcV51M6Xi-C9NaN7dOOmXNxr39tUXkzR-b48d2vtJz2U2rfl7zDq0bblbRhDLJdr3du4-VC86_SQ7On-Pin-_Li8W1zPbn5dLRffb2YGOY6zDtqmYqyB3J6DsQw7EISBbruaM9sgSGxbgZLnSCUaDqJpiKw5cmJ419GTYrnTbYNeqYeYB4sbFbRTT4EQe6Xj6MxglW0Icm4YpSiYliipQANadhyaLFtnrW87rYepWdvWWD9GPbwSfZ3x7l714VHJihGkMguc7QVi-DvZNKq1S8YOg_Y2TEkBR8EZQ8oz-uU_dBWm6POqtlTGSN5IpmBHmRhSirY7DEMqtfVcPXmutp6rvee56PPLbxxKnh3OwKcd4Ky1h7SssSZM0H-omK6P</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>King, Jung-Tai</creator><creator>John, Alka Rachel</creator><creator>Wang, Yu-Kai</creator><creator>Shih, Chun-Kai</creator><creator>Zhang, Dingguo</creator><creator>Huang, Kuan-Chih</creator><creator>Lin, Chin-Teng</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8371-8197</orcidid><orcidid>https://orcid.org/0000-0003-4803-7489</orcidid><orcidid>https://orcid.org/0000-0001-8390-2664</orcidid><orcidid>https://orcid.org/0000-0001-7100-8091</orcidid></search><sort><creationdate>20220101</creationdate><title>Brain Connectivity Changes During Bimanual and Rotated Motor Imagery</title><author>King, Jung-Tai ; John, Alka Rachel ; Wang, Yu-Kai ; Shih, Chun-Kai ; Zhang, Dingguo ; Huang, Kuan-Chih ; Lin, Chin-Teng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c565t-f2db044b235462ce45f28142adf764eb5295dd8596adf08b628bb1976561c6ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Bimanual coordination</topic><topic>Brain</topic><topic>brain connectivity</topic><topic>Brain-Computer Interfaces</topic><topic>Coordination</topic><topic>Electroencephalography</topic><topic>Frequencies</topic><topic>Human-computer interface</topic><topic>Humans</topic><topic>Imagery</topic><topic>Imagery, Psychotherapy - methods</topic><topic>Information flow</topic><topic>Medical treatment</topic><topic>Motor Cortex</topic><topic>motor imagery</topic><topic>Movement</topic><topic>Neurons</topic><topic>Rehabilitation</topic><topic>Spatial data</topic><topic>Stroke (medical condition)</topic><topic>Task analysis</topic><topic>Training</topic><topic>Visual tasks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>King, Jung-Tai</creatorcontrib><creatorcontrib>John, Alka Rachel</creatorcontrib><creatorcontrib>Wang, Yu-Kai</creatorcontrib><creatorcontrib>Shih, Chun-Kai</creatorcontrib><creatorcontrib>Zhang, Dingguo</creatorcontrib><creatorcontrib>Huang, Kuan-Chih</creatorcontrib><creatorcontrib>Lin, Chin-Teng</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE journal of translational engineering in health and medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>King, Jung-Tai</au><au>John, Alka Rachel</au><au>Wang, Yu-Kai</au><au>Shih, Chun-Kai</au><au>Zhang, Dingguo</au><au>Huang, Kuan-Chih</au><au>Lin, Chin-Teng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Brain Connectivity Changes During Bimanual and Rotated Motor Imagery</atitle><jtitle>IEEE journal of translational engineering in health and medicine</jtitle><stitle>JTEHM</stitle><addtitle>IEEE J Transl Eng Health Med</addtitle><date>2022-01-01</date><risdate>2022</risdate><volume>10</volume><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>2168-2372</issn><eissn>2168-2372</eissn><coden>IJTEBN</coden><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.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>35492507</pmid><doi>10.1109/JTEHM.2022.3167552</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-8371-8197</orcidid><orcidid>https://orcid.org/0000-0003-4803-7489</orcidid><orcidid>https://orcid.org/0000-0001-8390-2664</orcidid><orcidid>https://orcid.org/0000-0001-7100-8091</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2168-2372 |
ispartof | IEEE journal of translational engineering in health and medicine, 2022-01, Vol.10, p.1-8 |
issn | 2168-2372 2168-2372 |
language | eng |
recordid | cdi_proquest_miscellaneous_2658644536 |
source | IEEE Open Access Journals; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
subjects | Bimanual coordination Brain brain connectivity Brain-Computer Interfaces Coordination Electroencephalography Frequencies Human-computer interface Humans Imagery Imagery, Psychotherapy - methods Information flow Medical treatment Motor Cortex motor imagery Movement Neurons Rehabilitation Spatial data Stroke (medical condition) Task analysis Training Visual tasks |
title | Brain Connectivity Changes During Bimanual and Rotated Motor Imagery |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T03%3A50%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Brain%20Connectivity%20Changes%20During%20Bimanual%20and%20Rotated%20Motor%20Imagery&rft.jtitle=IEEE%20journal%20of%20translational%20engineering%20in%20health%20and%20medicine&rft.au=King,%20Jung-Tai&rft.date=2022-01-01&rft.volume=10&rft.spage=1&rft.epage=8&rft.pages=1-8&rft.issn=2168-2372&rft.eissn=2168-2372&rft.coden=IJTEBN&rft_id=info:doi/10.1109/JTEHM.2022.3167552&rft_dat=%3Cproquest_ieee_%3E2658644536%3C/proquest_ieee_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2655861354&rft_id=info:pmid/35492507&rft_ieee_id=9757148&rft_doaj_id=oai_doaj_org_article_eb1566c433584a959385c2a9f62b28b7&rfr_iscdi=true |