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Combination of Acupoints for Alzheimer’s Disease: An Association Rule Analysis

BACKGROUND: Alzheimer’s disease (AD) is an ongoing neurological degeneration characterized by amnesia and a decline in cognitive abilities. Hippocampal neurogenesis is the leading cause of AD. Mild cognitive impairment (MCI), a prodromal state of AD, is mainly due to the degradation of neuropsychiat...

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Autores principales: Wang, Yao-Chin, Wu, Chieh-Chen, Huang, Abel Po-Hao, Hsieh, Po-Chun, Kung, Woon-Man
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213672/
https://www.ncbi.nlm.nih.gov/pubmed/35757540
http://dx.doi.org/10.3389/fnins.2022.872392
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author Wang, Yao-Chin
Wu, Chieh-Chen
Huang, Abel Po-Hao
Hsieh, Po-Chun
Kung, Woon-Man
author_facet Wang, Yao-Chin
Wu, Chieh-Chen
Huang, Abel Po-Hao
Hsieh, Po-Chun
Kung, Woon-Man
author_sort Wang, Yao-Chin
collection PubMed
description BACKGROUND: Alzheimer’s disease (AD) is an ongoing neurological degeneration characterized by amnesia and a decline in cognitive abilities. Hippocampal neurogenesis is the leading cause of AD. Mild cognitive impairment (MCI), a prodromal state of AD, is mainly due to the degradation of neuropsychiatric manifestations. Previous systematic reviews demonstrated that treatment with acupuncture with Chinese herbs is tolerable and effective in improving cognitive function in patients with AD. Our investigation aimed to discover the main acupoint combination for AD management based on a preceding systematic review and meta-analysis of randomized control trials (RCTs). MATERIALS AND METHODS: Our investigation was executed using association rule analysis, which is a common data mining technique accessible within R. Our study elucidated acupoint locations as binary data from 15 of the included studies using the Apriori algorithm. RESULTS: Thirty-two acupoints were selected from 15 RCTs. The 10 most frequent acupoints were selected. We inspected 503 association rules using the interpreted acupuncture data. The obtained results showed that {SP6, BI10} ≥ {HT7} and {HT7, BI10} ≥ {SP6} were the most associated rules in 15 RCTs. CONCLUSION: The combination of acupoints ({SP6, BI10} ≥ {HT7} and {HT7, BI10} ≥ {SP6}) can be acknowledged as a core combination for future acupuncture regimens of AD.
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spelling pubmed-92136722022-06-23 Combination of Acupoints for Alzheimer’s Disease: An Association Rule Analysis Wang, Yao-Chin Wu, Chieh-Chen Huang, Abel Po-Hao Hsieh, Po-Chun Kung, Woon-Man Front Neurosci Neuroscience BACKGROUND: Alzheimer’s disease (AD) is an ongoing neurological degeneration characterized by amnesia and a decline in cognitive abilities. Hippocampal neurogenesis is the leading cause of AD. Mild cognitive impairment (MCI), a prodromal state of AD, is mainly due to the degradation of neuropsychiatric manifestations. Previous systematic reviews demonstrated that treatment with acupuncture with Chinese herbs is tolerable and effective in improving cognitive function in patients with AD. Our investigation aimed to discover the main acupoint combination for AD management based on a preceding systematic review and meta-analysis of randomized control trials (RCTs). MATERIALS AND METHODS: Our investigation was executed using association rule analysis, which is a common data mining technique accessible within R. Our study elucidated acupoint locations as binary data from 15 of the included studies using the Apriori algorithm. RESULTS: Thirty-two acupoints were selected from 15 RCTs. The 10 most frequent acupoints were selected. We inspected 503 association rules using the interpreted acupuncture data. The obtained results showed that {SP6, BI10} ≥ {HT7} and {HT7, BI10} ≥ {SP6} were the most associated rules in 15 RCTs. CONCLUSION: The combination of acupoints ({SP6, BI10} ≥ {HT7} and {HT7, BI10} ≥ {SP6}) can be acknowledged as a core combination for future acupuncture regimens of AD. Frontiers Media S.A. 2022-06-08 /pmc/articles/PMC9213672/ /pubmed/35757540 http://dx.doi.org/10.3389/fnins.2022.872392 Text en Copyright © 2022 Wang, Wu, Huang, Hsieh and Kung. 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
Wang, Yao-Chin
Wu, Chieh-Chen
Huang, Abel Po-Hao
Hsieh, Po-Chun
Kung, Woon-Man
Combination of Acupoints for Alzheimer’s Disease: An Association Rule Analysis
title Combination of Acupoints for Alzheimer’s Disease: An Association Rule Analysis
title_full Combination of Acupoints for Alzheimer’s Disease: An Association Rule Analysis
title_fullStr Combination of Acupoints for Alzheimer’s Disease: An Association Rule Analysis
title_full_unstemmed Combination of Acupoints for Alzheimer’s Disease: An Association Rule Analysis
title_short Combination of Acupoints for Alzheimer’s Disease: An Association Rule Analysis
title_sort combination of acupoints for alzheimer’s disease: an association rule analysis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213672/
https://www.ncbi.nlm.nih.gov/pubmed/35757540
http://dx.doi.org/10.3389/fnins.2022.872392
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