Immediate effects of short-term meditation on sensorimotor rhythm-based brain-computer interface performance

被引:1
作者
Kim, Jeehyun [1 ]
Jiang, Xiyuan [1 ]
Forenzo, Dylan [1 ]
Liu, Yixuan [1 ]
Anderson, Nancy [1 ]
Greco, Carol M. [2 ]
He, Bin [1 ]
机构
[1] Carnegie Mellon Univ, Dept Biomed Engn, Pittsburgh, PA 15213 USA
[2] Univ Pittsburgh, Dept Psychiat, Pittsburgh, PA USA
来源
FRONTIERS IN HUMAN NEUROSCIENCE | 2022年 / 16卷
基金
美国国家卫生研究院;
关键词
brain-computer interface; BCI; sensorimotor rhythm; meditation; EEG; MOTOR IMAGERY; MINDFULNESS; EEG; SIGNAL; OPERATION; STATE;
D O I
10.3389/fnhum.2022.1019279
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
IntroductionMeditation has been shown to enhance a user's ability to control a sensorimotor rhythm (SMR)-based brain-computer interface (BCI). For example, prior work have demonstrated that long-term meditation practices and an 8-week mindfulness-based stress reduction (MBSR) training have positive behavioral and neurophysiological effects on SMR-based BCI. However, the effects of short-term meditation practice on SMR-based BCI control are still unknown. MethodsIn this study, we investigated the immediate effects of a short, 20-minute meditation on SMR-based BCI control. Thirty-seven subjects performed several runs of one-dimensional cursor control tasks before and after two types of 20-minute interventions: a guided mindfulness meditation exercise and a recording of a narrator reading a journal article. ResultsWe found that there is no significant change in BCI performance and Electroencephalography (EEG) BCI control signal following either 20-minute intervention. Moreover, the change in BCI performance between the meditation group and the control group was found to be not significant. DiscussionThe present results suggest that a longer period of meditation is needed to improve SMR-based BCI control.
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页数:15
相关论文
共 52 条
  • [11] Continuous Three-Dimensional Control of a Virtual Helicopter Using a Motor Imagery Based Brain-Computer Interface
    Doud, Alexander J.
    Lucas, John P.
    Pisansky, Marc T.
    He, Bin
    [J]. PLOS ONE, 2011, 6 (10):
  • [12] Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
    Edelman, B. J.
    Meng, J.
    Suma, D.
    Zurn, C.
    Nagarajan, E.
    Baxter, B. S.
    Cline, C. C.
    He, B.
    [J]. SCIENCE ROBOTICS, 2019, 4 (31)
  • [13] Wheelchair Control in a Virtual Environment by Healthy Participants Using a P300-BCI Based on Tactile Stimulation: Training Effects and Usability
    Eidel, Matthias
    Kuebler, Andrea
    [J]. FRONTIERS IN HUMAN NEUROSCIENCE, 2020, 14
  • [14] He B., 2020, NEURAL ENG, P131
  • [15] He B, 2015, P IEEE, V103, P907, DOI [10.1109/JPROC.2015.2407272, 10.1109/jproc.2015.2407272]
  • [16] Irving Julie Anne, 2009, Complement Ther Clin Pract, V15, P61, DOI 10.1016/j.ctcp.2009.01.002
  • [17] Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation
    Jiang, Haiteng
    Stieger, James
    Kreitzer, Mary Jo
    Engel, Stephen
    He, Bin
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)
  • [18] Effects of Long-Term Meditation Practices on Sensorimotor Rhythm-Based Brain-Computer Interface Learning
    Jiang, Xiyuan
    Lopez, Emily
    Stieger, James R.
    Greco, Carol M.
    He, Bin
    [J]. FRONTIERS IN NEUROSCIENCE, 2021, 14
  • [19] Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain-computer interface
    LaFleur, Karl
    Cassady, Kaitlin
    Doud, Alexander
    Shades, Kaleb
    Rogin, Eitan
    He, Bin
    [J]. JOURNAL OF NEURAL ENGINEERING, 2013, 10 (04)
  • [20] Increased Theta and Alpha EEG Activity During Nondirective Meditation
    Lagopoulos, Jim
    Xu, Jian
    Rasmussen, Inge
    Vik, Alexandra
    Malhi, Gin S.
    Eliassen, Carl F.
    Arntsen, Ingrid E.
    Saether, Jardar G.
    Hollup, Stig
    Holen, Are
    Davanger, Svend
    Ellingsen, Oyvind
    [J]. JOURNAL OF ALTERNATIVE AND COMPLEMENTARY MEDICINE, 2009, 15 (11) : 1187 - 1192