Alpha correlates of practice during mental preparation for motor imagery

Nascimben, M; Wang, YK; King, JT; Jung, TP; Touryan, J; Lance, BJ; Lin, CT

Alpha correlates of practice during mental preparation for motor imagery

Nascimben, M Wang, YK King, JT Jung, TP Touryan, J Lance, BJ Lin, CT

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Cognitive and Developmental Systems, 2021, PP, (99), pp. 1-1
Issue Date:: 2021-01-01

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Field	Value	Language
dc.contributor.author	Nascimben, M
dc.contributor.author	Wang, YK
dc.contributor.author	King, JT
dc.contributor.author	Jung, TP
dc.contributor.author	Touryan, J
dc.contributor.author	Lance, BJ
dc.contributor.author	Lin, CT
dc.date.accessioned	2021-03-15T23:54:32Z
dc.date.available	2021-03-15T23:54:32Z
dc.date.issued	2021-01-01
dc.identifier.citation	IEEE Transactions on Cognitive and Developmental Systems, 2021, PP, (99), pp. 1-1
dc.identifier.issn	2379-8920
dc.identifier.issn	2379-8939
dc.identifier.uri	http://hdl.handle.net/10453/147192
dc.description.abstract	IEEE In this study we quantified performance variations of motor imagery (MI)-based brain-computer interface (BCI) systems induced by practice. Two experimental sessions were recorded from ten healthy subjects while playing a BCI-oriented videogame for two weeks. The analysis focused on the exploration of electroencephalographic changes during mental preparation between novice and practiced subjects. EEG changes were quantified using global field power (GFP), dynamic time warping (TW) and mutual information (MutInf): GFP represents the strength of the electric field, TW measures signal similarities and MutInf signals inter-dependency. Each metric was selected to relate insights extracted from mental preparation to the three experimental hypotheses associating practice with BCI performance. Significant results were identified in lower alpha for GFP and upper alpha for TW and MutInf. GFP in lower alpha during mental preparation assessed not only novice vs practiced variations but also “intra-session” differences. Findings suggest that EEG changes during mental preparation provide a quantitative measure of practice level. These metrics extracted before motor intention could be applied to BCI models targeting MI to monitor a user’s degree of training.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation	http://purl.org/au-research/grants/arc/DP180100670
dc.relation	http://purl.org/au-research/grants/arc/DP180100656
dc.relation	Lockheed Martin Corporation
dc.relation	University of Technology Sydney
dc.relation.ispartof	IEEE Transactions on Cognitive and Developmental Systems
dc.relation.isbasedon	10.1109/TCDS.2020.3026530
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Alpha correlates of practice during mental preparation for motor imagery
dc.type	Journal Article
utslib.citation.volume	PP
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2021-03-15T23:54:30Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

Abstract:

IEEE In this study we quantified performance variations of motor imagery (MI)-based brain-computer interface (BCI) systems induced by practice. Two experimental sessions were recorded from ten healthy subjects while playing a BCI-oriented videogame for two weeks. The analysis focused on the exploration of electroencephalographic changes during mental preparation between novice and practiced subjects. EEG changes were quantified using global field power (GFP), dynamic time warping (TW) and mutual information (MutInf): GFP represents the strength of the electric field, TW measures signal similarities and MutInf signals inter-dependency. Each metric was selected to relate insights extracted from mental preparation to the three experimental hypotheses associating practice with BCI performance. Significant results were identified in lower alpha for GFP and upper alpha for TW and MutInf. GFP in lower alpha during mental preparation assessed not only novice vs practiced variations but also “intra-session” differences. Findings suggest that EEG changes during mental preparation provide a quantitative measure of practice level. These metrics extracted before motor intention could be applied to BCI models targeting MI to monitor a user’s degree of training.

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http://hdl.handle.net/10453/147192