Electroacupuncture modulates electroencephalographic microstate dynamics to alleviate chronic insomnia: a machine learning approach for predicting individual treatment response
This study found that EA treatment was associated with improved clinical scores and alterations in some EEG microstate parameters in patients with CI. In this exploratory analysis with a limited sample size, baseline microstate features showed preliminary potential for predicting treatment response, though further validation in larger cohorts is needed. These findings may provide a reference for future research on neurophysiological predictors and the development of individualized treatment strategies.
Authors
- Chi Wang (ORCID: https://orcid.org/0000-0002-0587-436X)
- Kai Liu (ORCID: https://orcid.org/0000-0002-4219-5964)
- Huangan Wu
- Shan Qin
- Min Xu
- Liyu Lin
- Enqi Liu
- Juan Li
- Wenzhong Wu
Institutions
- Nanjing University of Chinese Medicine (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Shanghai Research Center for Acupuncture and Meridians (CN)
- Yueyang Hospital (CN)
- Jiangsu Province Hospital (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-02-27
- DOI
- https://doi.org/10.3389/fneur.2026.1782826
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00