Evidence map›Paper›PMID 42871136›Full record

ArticleFrontiers in neuroscience2026

Dynamic EEG network responses to acupuncture stimulation in patients with stroke: a neurophysiological study.

Jianxin Tan, Juanjuan Zhao, Chen Zhang, Xulong Fan

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jianxin TanDepartment of Rehabilitation, Jiaozuo Hospital of Traditional Chinese Medicine, Jiaozuo, China.
Juanjuan ZhaoDepartment of Rehabilitation, Jiaozuo Hospital of Traditional Chinese Medicine, Jiaozuo, China.
Chen ZhangDepartment of Rehabilitation, Jiaozuo Hospital of Traditional Chinese Medicine, Jiaozuo, China.
Xulong FanDepartment of Rehabilitation, Jiaozuo Hospital of Traditional Chinese Medicine, Jiaozuo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Acupuncture may modulate brain activity through effects on the central nervous system. This study aimed to investigate short-term changes in spontaneous EEG activity and functional connectivity during acupuncture in patients with stroke using multichannel electroencephalography (EEG). Methods: Multichannel EEG recordings were collected at three stages: before acupuncture, during acupuncture, and after acupuncture. Acupuncture was applied at Jianyu, Quchi, and Waiguan. EEG activity was evaluated using power spectral density (PSD) analysis. Functional connectivity was assessed using the weighted phase lag index (wPLI). Functional brain networks were constructed for different frequency bands. Graph theory analysis was used to examine clustering coefficient and global efficiency across different network sparsities. Results: Power spectral density analysis showed significant stage-related changes in delta, theta, and alpha relative power, but not in beta power. Delta relative power decreased during acupuncture and partially recovered after acupuncture, but remained comparable to the pre-acupuncture level. Theta relative power increased during acupuncture and then decreased after acupuncture, with the post-acupuncture level lower than the pre-acupuncture level. Alpha relative power increased during acupuncture and decreased after acupuncture, but remained higher than the pre-acupuncture level. Whole-brain average wPLI showed a decrease in the delta band and an increase in the alpha band during acupuncture. No significant stage-related changes were observed in the theta-band average wPLI after correction for multiple comparisons. Graph-theoretical measures, including clustering coefficient and global efficiency, did not show statistically significant stage-related changes at the selected sparsity. Conclusion: Acupuncture was associated with short-term, frequency-dependent changes in spontaneous EEG activity and functional connectivity in patients with stroke. The observed changes were mainly reflected in spectral power and whole-brain average wPLI, while changes in overall network topology were not statistically supported. These findings provide preliminary neurophysiological evidence for the brain response to acupuncture stimulation.

Indexed as

acupunctureelectroencephalographyfunctional connectivityneural plasticitystroke

Identifiers

PMID42871136
PMCPMC13658174

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.