Immediate effects of short-term meditation on sensorimotor rhythm-based brain–computer interface performance
Year: 2022
Type: article
Abstract: Introduction: Meditation 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. Methods: In 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. Results: We 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. Discussion: The present results suggest that a longer period of meditation is needed to improve SMR-based BCI control.
Source: Frontiers in Human Neuroscience
Authors: Jeehyun Kim, Xiyuan Jiang, Dylan Forenzo, Yixuan Liu, Nancy Anderson, Carol M. Greco, Bin He
Institutions: Carnegie Mellon University, University of Pittsburgh
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,950
Awards: Characterization of in vivo neuronal and inter-neuronal responses to transcranial focused ultrasound, G2221576032, G2365872918, G2856613092, Mind-body awareness training and brain-computer interface, Treating pain in sickle cell disease by means of focused ultrasound neuromodulation, G6224859938, G9000101006, G9000168722
OpenAlex ID: W4311948842
