Evidence map›Paper›PMID 38784100›Full record

ArticleFrontiers in neuroscience2024

A novel acupuncture technique at the Zusanli point based on virtual reality and EEG: a pilot study.

Yongheng Zhang, Weicheng Hua, Ziqiu Zhou, Haibin Zhu, Jiawei Xiong, Jianbin Zhang, Duo Chen, Jiayang Guo

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yongheng ZhangSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Weicheng HuaSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Ziqiu ZhouThe Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Haibin ZhuThe Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Jiawei XiongThe Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Jianbin ZhangThe Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Duo ChenSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Jiayang GuoNational Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acupuncture is a Traditional Chinese Medicine (TCM) method that achieves therapeutic effects through the interaction of neurotransmitters and neural regulation. It is generally carried out manually, making the related process expert-biased. Meanwhile, the neural stimulation effect of acupuncture is difficult to track objectively. In recent years, virtual reality (VR) in medicine has been on the fast lane to widespread use, especially in therapeutic stimulation. However, the use of related technologies in acupuncture has not been reported. Methods: In this work, a novel acupuncture stimulation technique using VR is proposed. To track the stimulation effect, the electroencephalogram (EEG) is used as the marker to validate brain activities under acupuncture. Results and discussion: After statistically analyzing the data of 24 subjects during acupuncture at the "Zusanli (ST36)" acupoint, it has been determined that Virtual Acupuncture (VA) has at least a 63.54% probability of inducing similar EEG activities as in Manual Acupuncture (MA). This work may provide a new solution for researchers and clinical practitioners using Brain-Computer Interface (BCI) in acupuncture.

Indexed as

acupunctureBCIEEGTCMVR

Identifiers

PMID38784100
PMCPMC11114168

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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.