Literature DB >> 26086029

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

Kaitlin Cassady1, Albert You1, Alex Doud1, Bin He2.   

Abstract

Brain-computer interface (BCI) systems allow users to interact with their environment by bypassing muscular control to tap directly into the users' thoughts. In the present study, we investigate the role of prior experience with yoga and meditation, examples of formalized mind-body awareness training (MBAT), in learning to use a one-dimensional sensorimotor rhythm based BCI. Thirty-six human subjects volunteered to participate in two different cohorts based on past experience with MBAT - experienced MBAT practitioners and controls. All subjects participated in three BCI experiments to achieve competency in controlling the BCI system. The MBAT cohort achieved BCI competency significantly faster than the control cohort. In addition, the MBAT cohort demonstrated enhanced ability to control the system on various measures of BCI performance and improved significantly more over time when compared to control. Our work provides insight into valuable strategies for reducing barriers to BCI fluency that limit the more widespread use of these systems.

Entities:  

Year:  2014        PMID: 26086029      PMCID: PMC4465229          DOI: 10.1142/S233954781450023X

Source DB:  PubMed          Journal:  Technology (Singap World Sci)


  42 in total

Review 1.  Brain-computer interfaces for communication and control.

Authors:  Jonathan R Wolpaw; Niels Birbaumer; Dennis J McFarland; Gert Pfurtscheller; Theresa M Vaughan
Journal:  Clin Neurophysiol       Date:  2002-06       Impact factor: 3.708

2.  Non-linear dynamic complexity of the human EEG during meditation.

Authors:  L I Aftanas; S A Golocheikine
Journal:  Neurosci Lett       Date:  2002-09-20       Impact factor: 3.046

Review 3.  Complex genetics of amyotrophic lateral sclerosis.

Authors:  Catherine B Kunst
Journal:  Am J Hum Genet       Date:  2004-10-11       Impact factor: 11.025

4.  EEG control of a virtual helicopter in 3-dimensional space using intelligent control strategies.

Authors:  Audrey S Royer; Alexander J Doud; Minn L Rose; Bin He
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-09-27       Impact factor: 3.802

5.  Motor imagery and action observation: modulation of sensorimotor brain rhythms during mental control of a brain-computer interface.

Authors:  Christa Neuper; Reinhold Scherer; Selina Wriessnegger; Gert Pfurtscheller
Journal:  Clin Neurophysiol       Date:  2009-01-03       Impact factor: 3.708

Review 6.  Yoga for anxiety: a systematic review of the research evidence.

Authors:  G Kirkwood; H Rampes; V Tuffrey; J Richardson; K Pilkington
Journal:  Br J Sports Med       Date:  2005-12       Impact factor: 13.800

Review 7.  Visual and auditory brain-computer interfaces.

Authors:  Shangkai Gao; Yijun Wang; Xiaorong Gao; Bo Hong
Journal:  IEEE Trans Biomed Eng       Date:  2014-05       Impact factor: 4.538

8.  Electroencephalographic (EEG) control of three-dimensional movement.

Authors:  Dennis J McFarland; William A Sarnacki; Jonathan R Wolpaw
Journal:  J Neural Eng       Date:  2010-05-11       Impact factor: 5.379

9.  Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study.

Authors:  Girijesh Prasad; Pawel Herman; Damien Coyle; Suzanne McDonough; Jacqueline Crosbie
Journal:  J Neuroeng Rehabil       Date:  2010-12-14       Impact factor: 4.262

10.  Continuous three-dimensional control of a virtual helicopter using a motor imagery based brain-computer interface.

Authors:  Alexander J Doud; John P Lucas; Marc T Pisansky; Bin He
Journal:  PLoS One       Date:  2011-10-26       Impact factor: 3.240

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  16 in total

1.  EEG Source Imaging Enhances the Decoding of Complex Right-Hand Motor Imagery Tasks.

Authors:  Bradley J Edelman; Bryan Baxter; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-12       Impact factor: 4.538

2.  Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance.

Authors:  Jianjun Meng; John Mundahl; Taylor Streitz; Kaitlin Maile; Nicholas Gulachek; Jeffrey He; Bin He
Journal:  IEEE Access       Date:  2017-09-11       Impact factor: 3.367

3.  Combined rTMS and virtual reality brain-computer interface training for motor recovery after stroke.

Authors:  N N Johnson; J Carey; B J Edelman; A Doud; A Grande; K Lakshminarayan; B He
Journal:  J Neural Eng       Date:  2018-02       Impact factor: 5.379

4.  Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms.

Authors:  Bin He; Bryan Baxter; Bradley J Edelman; Christopher C Cline; Wendy Ye
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2015-05-20       Impact factor: 10.961

5.  Exploring Cognitive Flexibility With a Noninvasive BCI Using Simultaneous Steady-State Visual Evoked Potentials and Sensorimotor Rhythms.

Authors:  Bradley J Edelman; Jianjun Meng; Nicholas Gulachek; Christopher C Cline; Bin He
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-05       Impact factor: 3.802

6.  Sensorimotor Rhythm BCI with Simultaneous High Definition-Transcranial Direct Current Stimulation Alters Task Performance.

Authors:  Bryan S Baxter; Bradley J Edelman; Nicholas Nesbitt; Bin He
Journal:  Brain Stimul       Date:  2016-07-15       Impact factor: 8.955

7.  A novel channel selection method for optimal classification in different motor imagery BCI paradigms.

Authors:  Haijun Shan; Haojie Xu; Shanan Zhu; Bin He
Journal:  Biomed Eng Online       Date:  2015-10-21       Impact factor: 2.819

8.  Target-directed motor imagery of the lower limb enhances event-related desynchronization.

Authors:  Kosuke Kitahara; Yoshikatsu Hayashi; Shiro Yano; Toshiyuki Kondo
Journal:  PLoS One       Date:  2017-09-19       Impact factor: 3.240

9.  A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance.

Authors:  Jianjun Meng; Bradley J Edelman; Jaron Olsoe; Gabriel Jacobs; Shuying Zhang; Angeliki Beyko; Bin He
Journal:  Front Neurosci       Date:  2018-04-06       Impact factor: 4.677

10.  Mindfulness Improves Brain-Computer Interface Performance by Increasing Control Over Neural Activity in the Alpha Band.

Authors:  James R Stieger; Stephen Engel; Haiteng Jiang; Christopher C Cline; Mary Jo Kreitzer; Bin He
Journal:  Cereb Cortex       Date:  2021-01-01       Impact factor: 5.357

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