Perceptual decision parameters and their relation to self-reported pain: a drift diffusion account
Pain intensity ratings are subject to various cognitive modulations - yet the mechanisms underlying this influence are still not understood. In a conditioning protocol, pain-related expectations were induced through pairing predefined movements with a noxious or innocuous stimulus in either a predic...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
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Elsevier
2019
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| _version_ | 1826282876803481600 |
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| author | Zaman, J Wiech, K Vlaeyen, J |
| author_facet | Zaman, J Wiech, K Vlaeyen, J |
| author_sort | Zaman, J |
| collection | OXFORD |
| description | Pain intensity ratings are subject to various cognitive modulations - yet the mechanisms underlying this influence are still not understood. In a conditioning protocol, pain-related expectations were induced through pairing predefined movements with a noxious or innocuous stimulus in either a predictable or unpredictable fashion. Healthy volunteers (N = 37) categorized the stimuli as either painful or non-painful and rated their perceived intensity. Using a Hierarchical Drift Diffusion model based on the categorization data, we found that an a priori decision-making bias evolved towards the expected sensations (p ≺ .001). In particular, our findings suggest that differences in both the amount of decision-making bias (p = .004) and the speed sensory processing predict pain intensity ratings (p ≺ .001). As such, changes in pain ratings could be based in either of these processes, which may require a different approach when targeted as part of psychological pain treatment. |
| first_indexed | 2024-03-07T00:50:27Z |
| format | Journal article |
| id | oxford-uuid:86374a54-95f4-41d1-9946-f078c36e48a2 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:50:27Z |
| publishDate | 2019 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:86374a54-95f4-41d1-9946-f078c36e48a22022-03-26T22:02:32ZPerceptual decision parameters and their relation to self-reported pain: a drift diffusion accountJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:86374a54-95f4-41d1-9946-f078c36e48a2EnglishSymplectic Elements at OxfordElsevier2019Zaman, JWiech, KVlaeyen, JPain intensity ratings are subject to various cognitive modulations - yet the mechanisms underlying this influence are still not understood. In a conditioning protocol, pain-related expectations were induced through pairing predefined movements with a noxious or innocuous stimulus in either a predictable or unpredictable fashion. Healthy volunteers (N = 37) categorized the stimuli as either painful or non-painful and rated their perceived intensity. Using a Hierarchical Drift Diffusion model based on the categorization data, we found that an a priori decision-making bias evolved towards the expected sensations (p ≺ .001). In particular, our findings suggest that differences in both the amount of decision-making bias (p = .004) and the speed sensory processing predict pain intensity ratings (p ≺ .001). As such, changes in pain ratings could be based in either of these processes, which may require a different approach when targeted as part of psychological pain treatment. |
| spellingShingle | Zaman, J Wiech, K Vlaeyen, J Perceptual decision parameters and their relation to self-reported pain: a drift diffusion account |
| title | Perceptual decision parameters and their relation to self-reported pain: a drift diffusion account |
| title_full | Perceptual decision parameters and their relation to self-reported pain: a drift diffusion account |
| title_fullStr | Perceptual decision parameters and their relation to self-reported pain: a drift diffusion account |
| title_full_unstemmed | Perceptual decision parameters and their relation to self-reported pain: a drift diffusion account |
| title_short | Perceptual decision parameters and their relation to self-reported pain: a drift diffusion account |
| title_sort | perceptual decision parameters and their relation to self reported pain a drift diffusion account |
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