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

• Published in: Cerebral cortex (New York, N.Y. 1991) N.Y. 1991), 2024-07, Vol.34 (7)
• Main Authors: Han, Yupeng, Du, Lizhao, Huang, Qiyun, Cui, Donghong, Li, Yuanqing
• Format: Article
• Language: English
• Subjects: Adult; Attention - physiology; Brain - physiology; Electroencephalography; Female; Humans; Machine Learning; Male; Meditation; Middle Aged
• ISSN: 1047-3211; 1460-2199; 1460-2199
• DOI: 10.1093/cercor/bhae288

Abstract Meditation, mental training that aims to improve one’s ability to regulate their cognition, has been widely applied in clinical medicine. However, the mechanism by which meditation affects brain activity is still unclear. To explore this question, electroencephalogram data were recorded in 20 long-term meditators and 20 nonmeditators during 2 high-level cognitive tasks (meditation and mental calculation) and a relaxed resting state (control). Then, the power spectral density and phase synchronization of the electroencephalogram were extracted and compared between these 2 groups. In addition, machine learning was used to discriminate the states within each group. We found that the meditation group showed significantly higher classification accuracy and calculation efficiency than the control group. Then, during the calculation task, both the power and global phase synchronism of the gamma response decreased in meditators compared to their relaxation state; yet, no such change was observed in the control group. A potential explanation for our observations is that meditation improved the flexibility of the brain through neural plastic mechanism. In conclusion, we provided robust evidence that long-term meditation experience could produce detectable neurophysiological changes in brain activity, which possibly enhance the functional segregation and/or specialization in the brain.