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Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain
Chronic musculoskeletal pain is a costly and prevalent condition that affects the lives of over 50 million individuals in the United States. Chronic pain leads to functional brain changes in those suffering from the condition. Not only does the primary pain network transform as the condition changes...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823706/ https://www.ncbi.nlm.nih.gov/pubmed/33374858 http://dx.doi.org/10.3390/brainsci11010010 |
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author | Meier, Sarah K. Ray, Kimberly L. Waller, Noah C. Gendron, Barry C. Aytur, Semra A. Robin, Donald A. |
author_facet | Meier, Sarah K. Ray, Kimberly L. Waller, Noah C. Gendron, Barry C. Aytur, Semra A. Robin, Donald A. |
author_sort | Meier, Sarah K. |
collection | PubMed |
description | Chronic musculoskeletal pain is a costly and prevalent condition that affects the lives of over 50 million individuals in the United States. Chronic pain leads to functional brain changes in those suffering from the condition. Not only does the primary pain network transform as the condition changes from acute to persistent pain, a state of hyper-connectivity also exists between the default mode, frontoparietal, and salience networks. Graph theory analysis has recently been used to investigate treatment-driven brain network changes. For example, current research suggests that Acceptance and Commitment Therapy (ACT) may reduce the chronic pain associated hyper-connectivity between the default mode, frontoparietal, and salience networks, as well as within the salience network. This study extended previous work by examining the associations between the three networks above and a meta-analytically derived pain network. Results indicate decreased connectivity within the pain network (including left putamen, right insula, left insula, and right thalamus) in addition to triple network connectivity changes after the four-week Acceptance and Commitment Therapy intervention. |
format | Online Article Text |
id | pubmed-7823706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78237062021-01-24 Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain Meier, Sarah K. Ray, Kimberly L. Waller, Noah C. Gendron, Barry C. Aytur, Semra A. Robin, Donald A. Brain Sci Article Chronic musculoskeletal pain is a costly and prevalent condition that affects the lives of over 50 million individuals in the United States. Chronic pain leads to functional brain changes in those suffering from the condition. Not only does the primary pain network transform as the condition changes from acute to persistent pain, a state of hyper-connectivity also exists between the default mode, frontoparietal, and salience networks. Graph theory analysis has recently been used to investigate treatment-driven brain network changes. For example, current research suggests that Acceptance and Commitment Therapy (ACT) may reduce the chronic pain associated hyper-connectivity between the default mode, frontoparietal, and salience networks, as well as within the salience network. This study extended previous work by examining the associations between the three networks above and a meta-analytically derived pain network. Results indicate decreased connectivity within the pain network (including left putamen, right insula, left insula, and right thalamus) in addition to triple network connectivity changes after the four-week Acceptance and Commitment Therapy intervention. MDPI 2020-12-23 /pmc/articles/PMC7823706/ /pubmed/33374858 http://dx.doi.org/10.3390/brainsci11010010 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Meier, Sarah K. Ray, Kimberly L. Waller, Noah C. Gendron, Barry C. Aytur, Semra A. Robin, Donald A. Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain |
title | Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain |
title_full | Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain |
title_fullStr | Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain |
title_full_unstemmed | Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain |
title_short | Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain |
title_sort | network analysis of induced neural plasticity post-acceptance and commitment therapy for chronic pain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823706/ https://www.ncbi.nlm.nih.gov/pubmed/33374858 http://dx.doi.org/10.3390/brainsci11010010 |
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