Authors
Yachen Feng, Kaiqi Su, Qiongdi Ren, Rui Pan, Chunxiao Wang, Xu Zhang, Qi Li, Yaling Wang, Ming Zhang
Published in
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. Volume 43. Issue 3. Pages 661-668. Jun 25, 2026.
Abstract
Post-stroke cognitive impairment (PSCI) is a common complication of stroke that severely affects patients' quality of life and social functional recovery. Quantitative electroencephalography (QEEG), as a non-invasive neuroelectrophysiological technique with high temporal resolution, can reveal PSCI-related brain dysfunction and plasticity changes from multiple levels and dimensions, including neural oscillations, brain network connectivity, and dynamic optimization of brain function. However, its feature integration and efficacy evaluation system still require further refinement. In recent years, acupuncture has attracted increasing attention in the intervention of PSCI owing to its holistic regulatory effects and favorable safety profile. This review systematically integrates the characteristics of brain rhythms, brain functional networks, and dynamic brain activity in patients with PSCI, analyzes the associations between different electroencephalography (EEG) indicators and cognitive domains, and summarizes the multidimensional changes in EEG features following acupuncture intervention in PSCI. The aim is to provide evidence for a deeper understanding of the neuroelectrophysiological mechanisms underlying PSCI, while also offering references for the objective evaluation and modernization of acupuncture interventions.
PMID:
42366451
Bibliographic data and abstract were imported from PubMed on 29 Jun 2026.
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