Evidence map›Paper›PMID 32612886›Full record

ArticlePeerJ2020

Learning to predict pain: differences in people with persistent neck pain and pain-free controls.

Daniel S Harvie, Jeroen D Weermeijer, Nick A Olthof, Ann Meulders

Registry-linked trialAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04889300 (Resilience Factors and Selective Learning in Patients With Fibromyalgia), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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.

NCT04889300 nacompletednot on this mapstarted 2021, after this paper: background citation

Resilience Factors and Selective Learning in Patients With Fibromyalgia

TypeinterventionalSponsorPhilipps University MarburgRan2021 to 2021Enrolled189ConditionsFibromyalgiaArmsBest Possible Self, Typical Day
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Mechanisms Underlying Pain Avoidance in Complex Regional Pain Syndrome.European journal of pain (London, England) · 2026
    Observational
  2. Article
  3. Article
  4. 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

4 authors.

Daniel S HarvieThe Hopkins Centre, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia.ORCID 0000-0001-7693-4158
Jeroen D WeermeijerCenter for Contextual Psychiatry, KU Leuven, Leuven, Belgium.
Nick A OlthofThe Hopkins Centre, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia.
Ann MeuldersResearch Group Health Psychology, KU Leuven, Leuven, Belgium.ORCID 0000-0003-4250-3928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLearning to predict threatening events enables an organism to engage in protective behavior and prevent harm. Failure to differentiate between cues that truly predict danger and those that do not, however, may lead to indiscriminate fear and avoidance behaviors, which in turn may contribute to disability in people with persistent pain. We aimed to test whether people with persistent neck pain exhibit contingency learning deficits in predicting pain relative to pain-free, gender-and age-matched controls.

methodWe developed a differential predictive learning task with a neck pain-relevant scenario. During the acquisition phase, images displaying two distinct neck positions were presented and participants were asked to predict whether these neck positions would lead to pain in a fictive patient with persistent neck pain (see fictive patient scenario details in Appendix A). After participants gave their pain-expectancy judgment in the hypothetical scenario, the verbal outcome (PAIN or NO PAIN) was shown on the screen. One image (CS+) was followed by the outcome "PAIN", while another image (CS-) was followed by the outcome "NO PAIN". During the generalization phase, novel but related images depicting neck positions along a continuum between the CS+ and CS- images (generalization stimuli; GSs) were introduced to assess the generalization of acquired predictive learning to the novel images; the GSs were always followed by the verbal outcome "NOTES UNREADABLE" to prevent extinction learning. Finally, an extinction phase was included in which all images were followed by "NO PAIN" assessing the persistence of pain-expectancy judgments following disconfirming information.

resultsDifferential pain-expectancy learning was reduced in people with neck pain relative to controls, resulting from patients giving significantly lower pain-expectancy judgments for the CS+, and significantly higher pain-expectancy judgments for the CS-. People with neck pain also demonstrated flatter generalization gradients relative to controls. No differences in extinction were noted. DISCUSSION: The results support the hypothesis that people with persistent neck pain exhibit reduced differential pain-expectancy learning and flatter generalization gradients, reflecting deficits in predictive learning. Contrary to our hypothesis, no differences in extinction were found. These findings may be relevant to understanding behavioral aspects of chronic pain.

Indexed as

Associative learningChronic painContingency learningExtinctionFear avoidanceFear avoidance modelFear learningGeneralizationNeck painPredictive learning

Identifiers

PMID32612886
PMCPMC7319024

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LicenceCC BY
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Registered trials

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.