PreprintCited by 49Mindfulness and Compassion InterventionsPain Management and Placebo EffectPain Mechanisms and Treatments

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Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: A Network-Based fMRI Approach

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Abstract

Over 100 million Americans suffer from chronic pain (CP), which causes more disability than any other medical condition in the U.S. at a cost of $560-$635 billion per year (IOM, 2011). Opioid analgesics are frequently used to treat CP. However, long term use of opioids can cause brain changes such as opioid-induced hyperalgesia that, over time, increase pain sensation. Also, opioids fail to treat complex psychological factors that worsen pain-related disability, including beliefs about and emotional responses to pain. Cognitive behavioral therapy (CBT) can be efficacious for CP. However, CBT generally does not focus on important factors needed for long-term functional improvement, including attainment of personal goals and the psychological flexibility to choose responses to pain. Acceptance and Commitment Therapy (ACT) has been recognized as an effective, non-pharmacologic treatment for a variety of CP conditions. However, little is known about the neurologic mechanisms underlying ACT. We conducted an ACT intervention in women (n=9) with chronic musculoskeletal pain. Functional magnetic resonance imaging (fMRI) data were collected pre- and post-ACT, and changes in functional connectivity (FC) were measured using Network-Based Statistics (NBS). Behavioral outcomes were measured using validated assessments such as the Acceptance & Action Questionnaire (AAQ-II), the Chronic Pain Acceptance Questionnaire (CPAQ), the Center for Epidemiologic Studies Depression Scale (CES-D), and the NIH Toolbox Neuro-QoL™ (Quality of Life in Neurological Disorders) scales. Results suggest that, following the four-week ACT intervention, participants exhibited reductions in brain activation within and between key networks including self-reflection (default mode, DMN), emotion (salience, SN), and cognitive control (frontal parietal, FPN). These changes in connectivity strength were correlated with changes in behavioral outcomes including decreased depression and pain interference, and increased participation in social roles. This study is one of the first to demonstrate that improved function across the DMN, SN, and FPN may drive the positive outcomes associated with ACT. This study contributes to the emerging evidence supporting the use of neurophysiological indices to characterize treatment effects of alternative and complementary mind-body therapies. Perspective: This article identifies neural mechanisms that may mediate behavioral changes associated with Acceptance and Commitment Therapy (ACT) in persons with chronic musculoskeletal pain. This information could potentially help clinicians to determine which mind-body therapies may benefit specific patients as part of an integrative pain management approach.

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Crossref · 10.1101/2020.08.10.20144063

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Figures

FIGURE 1 fMRI data analysis pipeline. Step 1: rsfMRI data preprocessed using SPM12; Step 2: Mean time series extraction from Power ROIs; Step 3: Estimate FC between all nodes using Pearson correlation; Step 4: Use NBS to identify changes in connectivity between pre- and post-ACT.
FIGURE 1 fMRI data analysis pipeline. Step 1: rsfMRI data preprocessed using SPM12; Step 2: Mean time series extraction from Power ROIs; Step 3: Estimate FC between all nodes using Pearson correlation; Step 4: Use NBS to identify changes in connectivity between pre- and post-ACT.CC BY · PubMed Central
FIGURE 2 Rationale for the causal mediation analysis. Change in behavioral measures (pre- to post-ACT), mediated by FC changes. Path “A” shows the direct effect; mediation is estimated by combining paths B and C to produce the NIE.
FIGURE 2 Rationale for the causal mediation analysis. Change in behavioral measures (pre- to post-ACT), mediated by FC changes. Path “A” shows the direct effect; mediation is estimated by combining paths B and C to produce the NIE.CC BY · PubMed Central
FIGURE 3 Within and between network effects of ACT. (A) Within network decreases in FC following ACT: Pre-ACT < Post-ACT (t > 2.5, p = 0.039, 10,000 iterations). (B) Between network decreases in FC following ACT: Pre-ACT < Post-ACT (t > 2.5, p = 0.05, 10,000 iterations). Mean functional connections exhibiting ACT effects are shown for Pre-ACT (blue) and Post-ACT (orange). SN, DMN, and FPN nodes are shown in red, blue, and green, respectively. mCC, midcingulate cortex; aCC, anterior cingulate cortex; MTG, medial temporal gyrus; PFC, prefrontal cortex; rIPL, right inferior parietal cortex; rSMG, right superior medial gyrus. Node numbering below anatomical labels correspond to the node ordering in the Power Atlas (see Supplementary Material).
FIGURE 3 Within and between network effects of ACT. (A) Within network decreases in FC following ACT: Pre-ACT < Post-ACT (t > 2.5, p = 0.039, 10,000 iterations). (B) Between network decreases in FC following ACT: Pre-ACT < Post-ACT (t > 2.5, p = 0.05, 10,000 iterations). Mean functional connections exhibiting ACT effects are shown for Pre-ACT (blue) and Post-ACT (orange). SN, DMN, and FPN nodes are shown in red, blue, and green, respectively. mCC, midcingulate cortex; aCC, anterior cingulate cortex; MTG, medial temporal gyrus; PFC, prefrontal cortex; rIPL, right inferior parietal cortex; rSMG, right superior medial gyrus. Node numbering below anatomical labels correspond to the node ordering in the Power Atlas (see Supplementary Material).CC BY · PubMed Central

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Research works printed but not linked: 1

  1. Schabenberger, O (1996). Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models. SAS Institute Inc., Cary, NC Paper 196–30. Retrieved from https://support.sas.com/resources/papers/proceedings/proceedings/sugi30/196-30.pdf

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Metadata

Authors
Aytur, S. A., Ray, K. L., Meier, S. K., Campbell, J., Gendron, B., Waller, N., & Robin, D. A.
Affiliations
  • University of New Hampshire (US)
  • The University of Texas at Austin (US)
  • Wentworth Douglass Hospital (US)
Corresponding author
Aytur, Semra A.
Venue
Frontiers in Human Neuroscience
Publisher
openRxiv
Published
2020-08-13
Volume
15
Pages
587018-587018
ISSN
1662-5161 (ISSN-L)
OpenAlex
W3129133049
Cited by
49
References
117
Citations by year
2026: 4 · 2025: 10 · 2024: 7 · 2023: 12 · 2022: 10 · 2021: 5 · 2020: 1
FWCI
5.80
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Human Neuroscience (publishedVersion, cc-by)
  • medRxiv (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Pain Management and Placebo Effect
  • Health Sciences › Medicine › Physiology (medical) › Pain Mechanisms and Treatments
Keywords
acceptance and commitment therapy, chronic pain, chronic musculoskeletal pain, functional connectivity, default mode network, salience network, frontoparietal network, psychological flexibility, pain interference, depression, quality of life, mind-body interventions, network-based statistics

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