Learning to predict pain: differences in people with persistent neck pain and pain-free controls
Background Learning 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 contribu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2020-06-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/9345.pdf |
| _version_ | 1797424775926120448 |
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| author | Daniel S. Harvie Jeroen D. Weermeijer Nick A. Olthof Ann Meulders |
| author_facet | Daniel S. Harvie Jeroen D. Weermeijer Nick A. Olthof Ann Meulders |
| author_sort | Daniel S. Harvie |
| collection | DOAJ |
| description | Background Learning 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. Method We 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. Results Differential 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. |
| first_indexed | 2024-03-09T08:06:44Z |
| format | Article |
| id | doaj.art-a051e19995d0471db49f8399bf9795f9 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T08:06:44Z |
| publishDate | 2020-06-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-a051e19995d0471db49f8399bf9795f92023-12-02T23:48:42ZengPeerJ Inc.PeerJ2167-83592020-06-018e934510.7717/peerj.9345Learning to predict pain: differences in people with persistent neck pain and pain-free controlsDaniel S. Harvie0Jeroen D. Weermeijer1Nick A. Olthof2Ann Meulders3The Hopkins Centre, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, AustraliaCenter for Contextual Psychiatry, KU Leuven, Leuven, BelgiumThe Hopkins Centre, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, AustraliaResearch Group Health Psychology, KU Leuven, Leuven, BelgiumBackground Learning 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. Method We 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. Results Differential 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.https://peerj.com/articles/9345.pdfGeneralizationExtinctionNeck painChronic painPredictive learningContingency learning |
| spellingShingle | Daniel S. Harvie Jeroen D. Weermeijer Nick A. Olthof Ann Meulders Learning to predict pain: differences in people with persistent neck pain and pain-free controls PeerJ Generalization Extinction Neck pain Chronic pain Predictive learning Contingency learning |
| title | Learning to predict pain: differences in people with persistent neck pain and pain-free controls |
| title_full | Learning to predict pain: differences in people with persistent neck pain and pain-free controls |
| title_fullStr | Learning to predict pain: differences in people with persistent neck pain and pain-free controls |
| title_full_unstemmed | Learning to predict pain: differences in people with persistent neck pain and pain-free controls |
| title_short | Learning to predict pain: differences in people with persistent neck pain and pain-free controls |
| title_sort | learning to predict pain differences in people with persistent neck pain and pain free controls |
| topic | Generalization Extinction Neck pain Chronic pain Predictive learning Contingency learning |
| url | https://peerj.com/articles/9345.pdf |
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