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Yuqing Zhai

1 paper in the library · publishing 2025

Papers

Electroencephalographic neural correlates and deep learning analysis of a single brief focused mindfulness meditation in young adults: A pilot study.

Digital health January 1, 2025 Yongxin Luo, Yaoyao Zhang, Yuqing Zhai et al.

A single 10-minute session of brief focused mindfulness meditation (BFMM) in 24 young adults was associated with significant decreases in heart rate and respiratory rate, and with changes in theta and beta brainwave power in right frontotemporal and frontocentral regions. An ensemble deep learning model combining multi-layer perceptron, long short-term memory, and convolutional neural network classified EEG signals from meditation versus resting states with 79.0% accuracy, outperforming individual models. The findings suggest that even a brief meditation session can regulate autonomic nervous system activity and modulate neural activity, and that the ensemble model may support future EEG-based assessment of mindfulness.