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Qiyun Huang

3 papers in the library · publishing 2024-2026

Papers

Carsickness Therapy Based on Brain–Computer Interface Enhanced Mindfulness Meditation Training

medRxiv Preprint Server April 1, 2026 Jiawei Zhu, Zhenfu Wen, Yonghao Cao et al. preprint

A wearable mindfulness meditation brain-computer interface (MM-BCI) system that provides real-time neurofeedback can reduce carsickness severity. In a 10-week randomized controlled trial, 60 carsickness-susceptible individuals practiced mindfulness meditation with either real MM-BCI neurofeedback or sham feedback during car rides and at home. Those receiving real feedback showed significantly reduced carsickness severity at post-intervention and at a one-month follow-up, assessed during regular car riding without any task or feedback. At baseline, susceptible participants had a reduced aperiodic exponent in occipito-parietal cortex compared to non-susceptible controls. MM-BCI training increased this exponent toward non-susceptible levels, and the degree of neural normalization correlated with symptom improvement.

A Wearable Brain-Computer Interface for Mitigating Car Sickness via Attention Shifting.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) April 1, 2026 Jiawei Zhu, Xiaoyu Bao, Qiyun Huang et al.

A wearable mindfulness brain-computer interface (BCI) that uses electroencephalography (EEG) and artificial intelligence to assess a user's focus on breathing and provide real-time audiovisual feedback can reduce car sickness symptoms. In two real-world experiments with over 100 participants susceptible to car sickness, over 83% rated the BCI-based attention shifting as effective, with significant reductions in severity, especially for those with severe symptoms. EEG data analysis identified a neurobiological signature of car sickness, offering mechanistic insight into the intervention's efficacy. The authors propose this as a nonpharmacological alternative to pharmacological treatments with adverse side effects.

Enhancing specialization of attention-related EEG power and phase synchronism brain patterns by meditation.

Cerebral Cortex July 1, 2024 Yupeng Han, Lizhao Du, Qiyun Huang et al.

Long-term meditation experience produces detectable neurophysiological changes in brain activity, possibly enhancing functional segregation and specialization. Electroencephalogram data from 20 long-term meditators and 20 nonmeditators during cognitive tasks and a relaxed state showed that meditators had higher classification accuracy and calculation efficiency. During a calculation task, both the power and global phase synchronism of gamma response decreased in meditators compared to their relaxation state, while no such change occurred in nonmeditators. These findings suggest meditation improves brain flexibility through neural plastic mechanisms.