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Xiyuan Jiang

3 papers in the library · 6 citations · publishing 2020-2022

Papers

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

Frontiers in Human Neuroscience December 20, 2022 Jeehyun Kim, Xiyuan Jiang, Dylan Forenzo et al. 4 citations

A 20-minute guided mindfulness meditation session does not significantly improve control of a sensorimotor rhythm-based brain-computer interface. Thirty-seven subjects performed cursor control tasks before and after either a meditation exercise or a control condition of listening to a journal article. No significant change in BCI performance or EEG control signal occurred in either group, and the difference between groups was not significant. The findings suggest that longer meditation practice is needed to enhance SMR-based BCI control.

Effects of Long-Term Meditation Practices on Sensorimotor Rhythm Based BCI Learning

bioRxiv Preprint Server September 9, 2020 Xiyuan Jiang, Emily Lopez, James Stieger et al. 2 citations preprint

Meditators outperformed non-meditators in brain-computer interface (BCI) cursor control tasks using motor imagery. Experienced meditators showed better performance in both 1-dimensional and 2-dimensional tasks, and fewer meditators were unable to generate decodable EEG signals. Meditators also had higher sensorimotor rhythm (SMR) predictor values and were better able to produce decodable EEG signals for SMR-based BCI control, suggesting meditation training may improve BCI performance.

Effects of Long-Term Meditation Practices on Sensorimotor Rhythm-Based Brain-Computer Interface Learning

Frontiers in Neuroscience January 21, 2021 Xiyuan Jiang, Emily Lopez, James Stieger et al.

Experienced meditators outperformed meditation-naïve subjects in one-dimensional and two-dimensional cursor control tasks using a sensorimotor rhythm-based brain–computer interface. Fewer meditators were classified as BCI inefficient. Meditators also showed a higher resting SMR predictor, more stable resting mu rhythm, and larger control signal contrast during the task, suggesting that meditation training may enhance BCI performance.