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
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.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Improving the Performance of Brain-Computer Interface through Meditation Practicing
    Eskandari, Parvaneh
    Erfanian, Abbas
    2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-8, 2008, : 662 - 665
  • [22] Cortical imaging of sensorimotor rhythm during online control of Brain-Computer Interface
    Yuan, Han
    Doud, Alexander J.
    Gururajan, Arvind
    He, Bin
    2007 JOINT MEETING OF THE 6TH INTERNATIONAL SYMPOSIUM ON NONINVASIVE FUNCTIONAL SOURCE IMAGING OF THE BRAIN AND HEART AND THE INTERNATIONAL CONFERENCE ON FUNCTIONAL BIOMEDICAL IMAGING, 2007, : 287 - +
  • [23] Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces
    Fazli, Siamac
    Daehne, Sven
    Samek, Wojciech
    Biessmann, Felix
    Mueller, Klaus-Robert
    PROCEEDINGS OF THE IEEE, 2015, 103 (06) : 891 - 906
  • [24] Use of phase-locking value in sensorimotor rhythm-based brain–computer interface: zero-phase coupling and effects of spatial filters
    Wenjuan Jian
    Minyou Chen
    Dennis J. McFarland
    Medical & Biological Engineering & Computing, 2017, 55 : 1915 - 1926
  • [25] Sensorimotor-rhythm-based brain-computer interface use in people with amyotrophic lateral sclerosis (ALS)
    Nijboer, F
    Mellinger, J
    Wilhelm, B
    Matuz, T
    Neumann, N
    Wolpaw, JR
    Vaughan, TM
    Birbaumer, N
    Kuchler, A
    PSYCHOPHYSIOLOGY, 2004, 41 : S28 - S28
  • [26] Deep Learning for Meditation's Impact on Brain-Computer Interface Performance
    Liu, Bryant
    2022 INTERNATIONAL COMMUNICATION ENGINEERING AND CLOUD COMPUTING CONFERENCE, CECCC, 2022, : 64 - 69
  • [27] A Dense Long Short-Term Memory Model for Enhancing the Imagery-Based Brain-Computer Interface
    Zhang, Xiaofei
    Wang, Tao
    Xiong, Qi
    Guo, Yina
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 2021
  • [28] Sensorimotor Rhythm-Based Brain-Computer Interfaces for Motor Tasks Used in Hand Upper Extremity Rehabilitation after Stroke: A Systematic Review
    Fu, Jianghong
    Chen, Shugeng
    Jia, Jie
    BRAIN SCIENCES, 2023, 13 (01)
  • [29] Zen Cat: A Meditation-Based Brain-Computer Interface Game
    Mendes Vasiljevic, Gabriel Alves
    de Miranda, Leonardo Cunha
    de Menezes, Bruna Camila
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2018, PT I, 2018, 10960 : 294 - 309
  • [30] A study to implement a Brain-Computer Interface (BCI) based on Sensorimotor Rhythms
    dos Santos, Israel Schimitz
    Spindola, Marilda M.
    2015 IEEE 6TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS & SYSTEMS (LASCAS), 2015,