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Activation likelihood estimation identifies brain regions activated during puncturing at Hegu in healthy volunteers: A meta-analysis

BACKGROUND: Hegu is the most commonly used acupoints for pain relief. Recently, several functional neuroimaging studies have been performed on acupuncture at Hegu in healthy volunteers, but these studies have yielded diverse findings. Therefore, there is an urgent need to understand the brain respon...

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Autores principales: Gao, Zhen, Cui, Mengjie, Zhang, Jing, Ji, Laixi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813741/
https://www.ncbi.nlm.nih.gov/pubmed/36620460
http://dx.doi.org/10.3389/fnins.2022.1084362
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author Gao, Zhen
Cui, Mengjie
Zhang, Jing
Ji, Laixi
author_facet Gao, Zhen
Cui, Mengjie
Zhang, Jing
Ji, Laixi
author_sort Gao, Zhen
collection PubMed
description BACKGROUND: Hegu is the most commonly used acupoints for pain relief. Recently, several functional neuroimaging studies have been performed on acupuncture at Hegu in healthy volunteers, but these studies have yielded diverse findings. Therefore, there is an urgent need to understand the brain response characteristics of acupuncture at Hegu. METHODS: Neuroimaging studies on acupuncture at Hegu published before October 2022 were collected from PubMed, Web of Science, Google Scholar, Embase, and CNKI (China National Knowledge Infrastructure) databases, and were screened by strict inclusion and exclusion criteria. The extraction of brain coordinates was performed by two independent researchers, and the results were analyzed using activation likelihood estimation (ALE) analysis based on quantitative coordinates. RESULTS: In total, 338 studies were searched, of which 19 studies were included in the final analysis after a rigorous double-blind screening review. Activation likelihood estimation showed that postcentral gyrus in the left brain were activated, whereas the anterior cingulate in the left brain and superior temporal gyrus in the right brain were deactivated. CONCLUSION: Acupuncture at Hegu in healthy volunteers did not reveal specific brain regions. This finding implies that organismal status of the study subjects may have an important impact on the effect of acupoints. SYSTEMATIC REVIEW REGISTRATION: [https://www.crd.york.ac.uk], identifier [CRD42020197296].
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spelling pubmed-98137412023-01-06 Activation likelihood estimation identifies brain regions activated during puncturing at Hegu in healthy volunteers: A meta-analysis Gao, Zhen Cui, Mengjie Zhang, Jing Ji, Laixi Front Neurosci Neuroscience BACKGROUND: Hegu is the most commonly used acupoints for pain relief. Recently, several functional neuroimaging studies have been performed on acupuncture at Hegu in healthy volunteers, but these studies have yielded diverse findings. Therefore, there is an urgent need to understand the brain response characteristics of acupuncture at Hegu. METHODS: Neuroimaging studies on acupuncture at Hegu published before October 2022 were collected from PubMed, Web of Science, Google Scholar, Embase, and CNKI (China National Knowledge Infrastructure) databases, and were screened by strict inclusion and exclusion criteria. The extraction of brain coordinates was performed by two independent researchers, and the results were analyzed using activation likelihood estimation (ALE) analysis based on quantitative coordinates. RESULTS: In total, 338 studies were searched, of which 19 studies were included in the final analysis after a rigorous double-blind screening review. Activation likelihood estimation showed that postcentral gyrus in the left brain were activated, whereas the anterior cingulate in the left brain and superior temporal gyrus in the right brain were deactivated. CONCLUSION: Acupuncture at Hegu in healthy volunteers did not reveal specific brain regions. This finding implies that organismal status of the study subjects may have an important impact on the effect of acupoints. SYSTEMATIC REVIEW REGISTRATION: [https://www.crd.york.ac.uk], identifier [CRD42020197296]. Frontiers Media S.A. 2022-12-22 /pmc/articles/PMC9813741/ /pubmed/36620460 http://dx.doi.org/10.3389/fnins.2022.1084362 Text en Copyright © 2022 Gao, Cui, Zhang and Ji. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Gao, Zhen
Cui, Mengjie
Zhang, Jing
Ji, Laixi
Activation likelihood estimation identifies brain regions activated during puncturing at Hegu in healthy volunteers: A meta-analysis
title Activation likelihood estimation identifies brain regions activated during puncturing at Hegu in healthy volunteers: A meta-analysis
title_full Activation likelihood estimation identifies brain regions activated during puncturing at Hegu in healthy volunteers: A meta-analysis
title_fullStr Activation likelihood estimation identifies brain regions activated during puncturing at Hegu in healthy volunteers: A meta-analysis
title_full_unstemmed Activation likelihood estimation identifies brain regions activated during puncturing at Hegu in healthy volunteers: A meta-analysis
title_short Activation likelihood estimation identifies brain regions activated during puncturing at Hegu in healthy volunteers: A meta-analysis
title_sort activation likelihood estimation identifies brain regions activated during puncturing at hegu in healthy volunteers: a meta-analysis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813741/
https://www.ncbi.nlm.nih.gov/pubmed/36620460
http://dx.doi.org/10.3389/fnins.2022.1084362
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