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Exploring spatial patterns of acupoint indications from clinical data: A STROBE-compliant article

Every acupoint has specific indications for acupuncture treatment. These indications, primarily established based on the meridian system, have spatial patterns of symptoms on the human body. We investigated the associations between acupoints and symptom locations in 75 patients with chronic pain who...

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Autores principales: Jung, Won-Mo, Lee, Soon-Ho, Lee, Ye-Seul, Chae, Younbyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413274/
https://www.ncbi.nlm.nih.gov/pubmed/28445309
http://dx.doi.org/10.1097/MD.0000000000006768
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author Jung, Won-Mo
Lee, Soon-Ho
Lee, Ye-Seul
Chae, Younbyoung
author_facet Jung, Won-Mo
Lee, Soon-Ho
Lee, Ye-Seul
Chae, Younbyoung
author_sort Jung, Won-Mo
collection PubMed
description Every acupoint has specific indications for acupuncture treatment. These indications, primarily established based on the meridian system, have spatial patterns of symptoms on the human body. We investigated the associations between acupoints and symptom locations in 75 patients with chronic pain who were asked to sketch the localization of their symptoms on body schemes using the bodily sensation map (BSM) system. Combining the BSM and clinical information, we estimated the statistical parameters of relationships between acupoints and spatial information on symptoms. We further visualized spatial patterns of indications of the representative acupoints on the human body template using a Z score. Using a statistical parametric map method, we observed significant activation patterns of 12 acupoint indications with spatial patterns. The 1st group of patterns was distant from the acupoint locus and was strongly associated with the route of the corresponding meridian. The 2nd group was found around the acupoint locus, the majority of which was located at the trunk or back areas. Intensive investigations of the spatial patterns of acupoint indications would be a novel paradigm to explain point specificity of acupuncture treatment based on the original concept of the meridian system. Future studies should include more meaningful clinical data with larger sample sizes.
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spelling pubmed-54132742017-05-05 Exploring spatial patterns of acupoint indications from clinical data: A STROBE-compliant article Jung, Won-Mo Lee, Soon-Ho Lee, Ye-Seul Chae, Younbyoung Medicine (Baltimore) 3800 Every acupoint has specific indications for acupuncture treatment. These indications, primarily established based on the meridian system, have spatial patterns of symptoms on the human body. We investigated the associations between acupoints and symptom locations in 75 patients with chronic pain who were asked to sketch the localization of their symptoms on body schemes using the bodily sensation map (BSM) system. Combining the BSM and clinical information, we estimated the statistical parameters of relationships between acupoints and spatial information on symptoms. We further visualized spatial patterns of indications of the representative acupoints on the human body template using a Z score. Using a statistical parametric map method, we observed significant activation patterns of 12 acupoint indications with spatial patterns. The 1st group of patterns was distant from the acupoint locus and was strongly associated with the route of the corresponding meridian. The 2nd group was found around the acupoint locus, the majority of which was located at the trunk or back areas. Intensive investigations of the spatial patterns of acupoint indications would be a novel paradigm to explain point specificity of acupuncture treatment based on the original concept of the meridian system. Future studies should include more meaningful clinical data with larger sample sizes. Wolters Kluwer Health 2017-04-28 /pmc/articles/PMC5413274/ /pubmed/28445309 http://dx.doi.org/10.1097/MD.0000000000006768 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 3800
Jung, Won-Mo
Lee, Soon-Ho
Lee, Ye-Seul
Chae, Younbyoung
Exploring spatial patterns of acupoint indications from clinical data: A STROBE-compliant article
title Exploring spatial patterns of acupoint indications from clinical data: A STROBE-compliant article
title_full Exploring spatial patterns of acupoint indications from clinical data: A STROBE-compliant article
title_fullStr Exploring spatial patterns of acupoint indications from clinical data: A STROBE-compliant article
title_full_unstemmed Exploring spatial patterns of acupoint indications from clinical data: A STROBE-compliant article
title_short Exploring spatial patterns of acupoint indications from clinical data: A STROBE-compliant article
title_sort exploring spatial patterns of acupoint indications from clinical data: a strobe-compliant article
topic 3800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413274/
https://www.ncbi.nlm.nih.gov/pubmed/28445309
http://dx.doi.org/10.1097/MD.0000000000006768
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