Literature DB >> 33767254

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

Haiteng Jiang1, James Stieger1,2, Mary Jo Kreitzer2, Stephen Engel2, Bin He3.   

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.

Entities:  

Year:  2021        PMID: 33767254     DOI: 10.1038/s41598-021-86215-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  41 in total

1.  How many people are able to operate an EEG-based brain-computer interface (BCI)?

Authors:  C Guger; G Edlinger; W Harkam; I Niedermayer; G Pfurtscheller
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

2.  Neurophysiological predictor of SMR-based BCI performance.

Authors:  Benjamin Blankertz; Claudia Sannelli; Sebastian Halder; Eva M Hammer; Andrea Kübler; Klaus-Robert Müller; Gabriel Curio; Thorsten Dickhaus
Journal:  Neuroimage       Date:  2010-03-17       Impact factor: 6.556

3.  Electro-encephalogram based brain-computer interface: improved performance by mental practice and concentration skills.

Authors:  Babak Mahmoudi; Abbas Erfanian
Journal:  Med Biol Eng Comput       Date:  2006-10-07       Impact factor: 2.602

4.  Effect of mindfulness meditation on brain-computer interface performance.

Authors:  Lee-Fan Tan; Zoltan Dienes; Ashok Jansari; Sing-Yau Goh
Journal:  Conscious Cogn       Date:  2013-11-22

5.  How Does Mindfulness Meditation Work? Proposing Mechanisms of Action From a Conceptual and Neural Perspective.

Authors:  Britta K Hölzel; Sara W Lazar; Tim Gard; Zev Schuman-Olivier; David R Vago; Ulrich Ott
Journal:  Perspect Psychol Sci       Date:  2011-11

Review 6.  The neuroscience of mindfulness meditation.

Authors:  Yi-Yuan Tang; Britta K Hölzel; Michael I Posner
Journal:  Nat Rev Neurosci       Date:  2015-03-18       Impact factor: 34.870

7.  Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.

Authors:  Jonathan R Wolpaw; Dennis J McFarland
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-07       Impact factor: 11.205

8.  The impact of mind-body awareness training on the early learning of a brain-computer interface.

Authors:  Kaitlin Cassady; Albert You; Alex Doud; Bin He
Journal:  Technology (Singap World Sci)       Date:  2014-09

9.  National Trends in Admission and In-Hospital Mortality of Patients With Heart Failure in the United States (2001-2014).

Authors:  Emmanuel Akintoye; Alexandros Briasoulis; Alexander Egbe; Shannon M Dunlay; Sudhir Kushwaha; Diane Levine; Luis Afonso; Dariush Mozaffarian; Jarrett Weinberger
Journal:  J Am Heart Assoc       Date:  2017-11-29       Impact factor: 5.501

10.  Brain-computer interface use is a skill that user and system acquire together.

Authors:  Dennis J McFarland; Jonathan R Wolpaw
Journal:  PLoS Biol       Date:  2018-07-02       Impact factor: 8.029

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