Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation

Abstract Brain–computer interfaces (BCIs) are capable of translating human intentions into signals controlling an external device to assist patients with severe neuromuscular disorders. Prior work has demonstrated that participants with mindfulness meditation experience evince improved BCI performan...

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Autores principales:	Haiteng Jiang, James Stieger, Mary Jo Kreitzer, Stephen Engel, Bin He
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cbd3af7ddea74b09bedf2cc02ebb692e
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spelling	oai:doaj.org-article:cbd3af7ddea74b09bedf2cc02ebb692e2021-12-02T16:36:04ZFrontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation10.1038/s41598-021-86215-02045-2322https://doaj.org/article/cbd3af7ddea74b09bedf2cc02ebb692e2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86215-0https://doaj.org/toc/2045-2322Abstract Brain–computer interfaces (BCIs) are capable of translating human intentions into signals controlling an external device to assist patients with severe neuromuscular disorders. Prior work has demonstrated that participants with mindfulness meditation experience evince improved BCI performance, but the underlying neural mechanisms remain unclear. Here, we conducted a large-scale longitudinal intervention study by training participants in mindfulness-based stress reduction (MBSR; a standardized mind–body awareness training intervention), and investigated whether and how short-term MBSR affected sensorimotor rhythm (SMR)-based BCI performance. We hypothesize that MBSR training improves BCI performance by reducing mind wandering and enhancing self-awareness during the intentional rest BCI control, which would mainly be reflected by modulations of default-mode network and limbic network activity. We found that MBSR training significantly improved BCI performance compared to controls and these behavioral enhancements were accompanied by increased frontolimbic alpha activity (9–15 Hz) and decreased alpha connectivity among limbic network, frontoparietal network, and default-mode network. Furthermore, the modulations of frontolimbic alpha activity were positively correlated with the duration of meditation experience and the extent of BCI performance improvement. Overall, these data suggest that mindfulness allows participant to reach a state where they can modulate frontolimbic alpha power and improve BCI performance for SMR-based BCI control.Haiteng JiangJames StiegerMary Jo KreitzerStephen EngelBin HeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Haiteng Jiang James Stieger Mary Jo Kreitzer Stephen Engel Bin He Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation
description	Abstract Brain–computer interfaces (BCIs) are capable of translating human intentions into signals controlling an external device to assist patients with severe neuromuscular disorders. Prior work has demonstrated that participants with mindfulness meditation experience evince improved BCI performance, but the underlying neural mechanisms remain unclear. Here, we conducted a large-scale longitudinal intervention study by training participants in mindfulness-based stress reduction (MBSR; a standardized mind–body awareness training intervention), and investigated whether and how short-term MBSR affected sensorimotor rhythm (SMR)-based BCI performance. We hypothesize that MBSR training improves BCI performance by reducing mind wandering and enhancing self-awareness during the intentional rest BCI control, which would mainly be reflected by modulations of default-mode network and limbic network activity. We found that MBSR training significantly improved BCI performance compared to controls and these behavioral enhancements were accompanied by increased frontolimbic alpha activity (9–15 Hz) and decreased alpha connectivity among limbic network, frontoparietal network, and default-mode network. Furthermore, the modulations of frontolimbic alpha activity were positively correlated with the duration of meditation experience and the extent of BCI performance improvement. Overall, these data suggest that mindfulness allows participant to reach a state where they can modulate frontolimbic alpha power and improve BCI performance for SMR-based BCI control.
format	article
author	Haiteng Jiang James Stieger Mary Jo Kreitzer Stephen Engel Bin He
author_facet	Haiteng Jiang James Stieger Mary Jo Kreitzer Stephen Engel Bin He
author_sort	Haiteng Jiang
title	Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation
title_short	Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation
title_full	Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation
title_fullStr	Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation
title_full_unstemmed	Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation
title_sort	frontolimbic alpha activity tracks intentional rest bci control improvement through mindfulness meditation
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/cbd3af7ddea74b09bedf2cc02ebb692e
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Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation

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