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Article: Alpha down-regulation neurofeedback training effects on implicit motor learning and consolidation

TitleAlpha down-regulation neurofeedback training effects on implicit motor learning and consolidation
Authors
KeywordsAuditory feedback
Brain computer interactions
Continuous tracking
Down-regulation
Motor performance
Issue Date2020
PublisherInstitute of Physics Publishing. The Journal's web site is located at http://www.iop.org/EJ/journal/JNE
Citation
Journal of Neural Engineering, 2020, v. 17 n. 2, p. article no. 026014 How to Cite?
AbstractObjective. Implicit motor learning, which is a non-conscious form of learning characterized by motor performance improvement with practice, plays an essential role in various daily activities. Earlier study using neurofeedback training (NFT), a type of brain-computer interaction that enables the user to learn self-regulating his/her own brain activity, demonstrated that down-regulating alpha over primary motor cortex by NFT could immediately facilitate the implicit motor learning in a relatively simple motor task. However, detailed effects on EEG and implicit motor learning due to NFT especially in a more complex motor task are still unclear. Approach. We designed a single-blind sham-controlled between-subject study to examine whether alpha down-regulation NFT could facilitate implicit motor learning and also its consolidation in a more difficult and motor predominant task. At left primary motor cortex (C3) in two days, the alpha NFT group received alpha down-regulation training through auditory feedback while the sham-control group received random beta NFT. At the end of NFT, all participants performed the continuous tracking task with their dominant (right) hand to evaluate the implicit motor learning immediately. Finally, the continuous tracking task was performed again on the next day to assess consolidation effects. Main results. The alpha NFT group successfully decreased alpha amplitude during NFT, whereas the sham-control group maintained alpha at a relatively stable level. There was unfortunately no statistical evidence proving that the alpha NFT group significantly enhanced the implicit motor learning at the end of NFT and the consolidation on the next day compared to the sham-control group. Nevertheless, a significant correlation was found between the alpha change trend during NFT and the implicit motor learning for all participants, suggesting that faster alpha down-regulation was associated with better implicit motor learning. Significance. The findings suggested a close link between implicit motor learning and alpha change induced by NFT.
Persistent Identifierhttp://hdl.handle.net/10722/290951
ISSN
2021 Impact Factor: 5.043
2020 SCImago Journal Rankings: 1.594
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorNAN, W-
dc.contributor.authorYANG, L-
dc.contributor.authorWAN, F-
dc.contributor.authorZhu, F-
dc.contributor.authorHu, Y-
dc.date.accessioned2020-11-02T05:49:26Z-
dc.date.available2020-11-02T05:49:26Z-
dc.date.issued2020-
dc.identifier.citationJournal of Neural Engineering, 2020, v. 17 n. 2, p. article no. 026014-
dc.identifier.issn1741-2560-
dc.identifier.urihttp://hdl.handle.net/10722/290951-
dc.description.abstractObjective. Implicit motor learning, which is a non-conscious form of learning characterized by motor performance improvement with practice, plays an essential role in various daily activities. Earlier study using neurofeedback training (NFT), a type of brain-computer interaction that enables the user to learn self-regulating his/her own brain activity, demonstrated that down-regulating alpha over primary motor cortex by NFT could immediately facilitate the implicit motor learning in a relatively simple motor task. However, detailed effects on EEG and implicit motor learning due to NFT especially in a more complex motor task are still unclear. Approach. We designed a single-blind sham-controlled between-subject study to examine whether alpha down-regulation NFT could facilitate implicit motor learning and also its consolidation in a more difficult and motor predominant task. At left primary motor cortex (C3) in two days, the alpha NFT group received alpha down-regulation training through auditory feedback while the sham-control group received random beta NFT. At the end of NFT, all participants performed the continuous tracking task with their dominant (right) hand to evaluate the implicit motor learning immediately. Finally, the continuous tracking task was performed again on the next day to assess consolidation effects. Main results. The alpha NFT group successfully decreased alpha amplitude during NFT, whereas the sham-control group maintained alpha at a relatively stable level. There was unfortunately no statistical evidence proving that the alpha NFT group significantly enhanced the implicit motor learning at the end of NFT and the consolidation on the next day compared to the sham-control group. Nevertheless, a significant correlation was found between the alpha change trend during NFT and the implicit motor learning for all participants, suggesting that faster alpha down-regulation was associated with better implicit motor learning. Significance. The findings suggested a close link between implicit motor learning and alpha change induced by NFT.-
dc.languageeng-
dc.publisherInstitute of Physics Publishing. The Journal's web site is located at http://www.iop.org/EJ/journal/JNE-
dc.relation.ispartofJournal of Neural Engineering-
dc.rightsJournal of Neural Engineering. Copyright © Institute of Physics Publishing.-
dc.rightsThis is an author-created, un-copyedited version of an article published in [insert name of journal]. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/[insert DOI].-
dc.subjectAuditory feedback-
dc.subjectBrain computer interactions-
dc.subjectContinuous tracking-
dc.subjectDown-regulation-
dc.subjectMotor performance-
dc.titleAlpha down-regulation neurofeedback training effects on implicit motor learning and consolidation-
dc.typeArticle-
dc.identifier.emailHu, Y: yhud@hku.hk-
dc.identifier.authorityZhu, F=rp02104-
dc.identifier.authorityHu, Y=rp00432-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1088/1741-2552/ab7c1b-
dc.identifier.pmid32126528-
dc.identifier.scopuseid_2-s2.0-85082881428-
dc.identifier.hkuros317805-
dc.identifier.volume17-
dc.identifier.issue2-
dc.identifier.spagearticle no. 026014-
dc.identifier.epagearticle no. 026014-
dc.identifier.isiWOS:000523607900001-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1741-2552-

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