Evidence map›Paper›PMID 33374858›Full record

ArticleBrain sciences2020

Network Analysis of Induced Neural Plasticity Post-Acceptance and Commitment Therapy for Chronic Pain.

Sarah K Meier, Kimberly L Ray, Noah C Waller, Barry C Gendron, Semra A Aytur, Donald A Robin

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Sarah K MeierDepartment of Communication Sciences and Disorders, University of New Hampshire, Durham, NH 03824, USA.ORCID 0000-0002-5465-7126
Kimberly L RayDepartment of Psychology, University of Texas, Austin, TX 78712, USA.
Noah C WallerDepartment of Communication Sciences and Disorders, University of New Hampshire, Durham, NH 03824, USA.
Barry C GendronSeacoast Area Physiatry, Portsmouth, NH 03801, USA.
Semra A AyturDepartment of Health Management and Policy, University of New Hampshire, Durham, NH 03824, USA.
Donald A RobinDepartment of Communication Sciences and Disorders, University of New Hampshire, Durham, NH 03824, USA.
University of New Hampshire · USThe University of Texas at Austin · US

Funding

University of New Hampshire Collaborative Research Excellence
6 · The paper itself

Abstract

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.

Indexed as

acceptance and commitment therapychronic painfMRIfunctional connectivitygraph theory

Identifiers

PMID33374858
PMCPMC7823706
OpenAlexW3018185936

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.