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Alpha down-regulation neurofeedback training effects on implicit motor learning and consolidation
Nan,Wenya1,2,3; Yang,Limin2,3; Wan,Feng2,3; Zhu,Frank4; Hu,Yong4
2020-04-01
Source PublicationJournal of Neural Engineering
ISSN1741-2560
Volume17Issue:2
Abstract

Objective. 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.

DOI10.1088/1741-2552/ab7c1b
URLView the original
Indexed BySCIE ; SSCI
Language英語English
WOS Research AreaEngineering ; Neurosciences & Neurology
WOS SubjectEngineering, Biomedical ; Neurosciences
WOS IDWOS:000523607900001
PublisherIOP Publishing Ltd, TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND Journal Impact Factor : Journal Citation Reports TM
Scopus ID2-s2.0-85082881428
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorWan,Feng
Affiliation1.Department of Psychology,Shanghai Normal University,Shanghai,China
2.Department of Electrical and Computer Engineering,University of Macau,Macao
3.Centre for Cognitive and Brain Sciences,Institute of Collaborative Innovation,University of Macau,Macao
4.Department of Orthopaedics and Traumatology,Li Ka Shing Faculty of Medicine,University of Hong Kong,Hong Kong
First Author AffilicationUniversity of Macau;  INSTITUTE OF COLLABORATIVE INNOVATION
Corresponding Author AffilicationUniversity of Macau;  INSTITUTE OF COLLABORATIVE INNOVATION
Recommended Citation
GB/T 7714
Nan,Wenya,Yang,Limin,Wan,Feng,et al. Alpha down-regulation neurofeedback training effects on implicit motor learning and consolidation[J]. Journal of Neural Engineering, 2020, 17(2).
APA Nan,Wenya., Yang,Limin., Wan,Feng., Zhu,Frank., & Hu,Yong (2020). Alpha down-regulation neurofeedback training effects on implicit motor learning and consolidation. Journal of Neural Engineering, 17(2).
MLA Nan,Wenya,et al."Alpha down-regulation neurofeedback training effects on implicit motor learning and consolidation".Journal of Neural Engineering 17.2(2020).
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