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...
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MDPI AG
2020-12-01
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Series: | Brain Sciences |
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Online Access: | https://www.mdpi.com/2076-3425/11/1/10 |
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author | Sarah K. Meier Kimberly L. Ray Noah C. Waller Barry C. Gendron Semra A. Aytur Donald A. Robin |
author_facet | Sarah K. Meier Kimberly L. Ray Noah C. Waller Barry C. Gendron Semra A. Aytur Donald A. Robin |
author_sort | Sarah K. Meier |
collection | DOAJ |
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. |
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issn | 2076-3425 |
language | English |
last_indexed | 2024-03-10T13:49:16Z |
publishDate | 2020-12-01 |
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spelling | doaj.art-45992e6134b441418b1c6e0bfa57c4092023-11-21T02:18:54ZengMDPI AGBrain Sciences2076-34252020-12-011111010.3390/brainsci11010010Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic PainSarah K. Meier0Kimberly L. Ray1Noah C. Waller2Barry C. Gendron3Semra A. Aytur4Donald A. Robin5Department of Communication Sciences and Disorders, University of New Hampshire, Durham, NH 03824, USADepartment of Psychology, University of Texas, Austin, TX 78712, USADepartment of Communication Sciences and Disorders, University of New Hampshire, Durham, NH 03824, USASeacoast Area Physiatry, Portsmouth, NH 03801, USADepartment of Health Management and Policy, University of New Hampshire, Durham, NH 03824, USADepartment of Communication Sciences and Disorders, University of New Hampshire, Durham, NH 03824, USAChronic 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.https://www.mdpi.com/2076-3425/11/1/10acceptance and commitment therapychronic painfMRIfunctional connectivitygraph theory |
spellingShingle | Sarah K. Meier Kimberly L. Ray Noah C. Waller Barry C. Gendron Semra A. Aytur Donald A. Robin Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain Brain Sciences acceptance and commitment therapy chronic pain fMRI functional connectivity graph theory |
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 | acceptance and commitment therapy chronic pain fMRI functional connectivity graph theory |
url | https://www.mdpi.com/2076-3425/11/1/10 |
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