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Jiawei Zhu

2 papers in the library · publishing 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.