Evidence map›Paper›PMID 40844024›Full record

ArticleEuropean journal of pain (London, England)2025

Investigating the Influence of Experimentally Induced Secondary Hyperalgesia on Pain Prediction Error Encoding in Healthy Individuals: A Novel Virtual Reality Protocol.

Federico Palmisani, Jawahar Sri Prakash Thiyagarajan, Joe Horsey, Sam W Hughes, Sonia Medina

Abstract read
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Article in European journal of pain (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Federico PalmisaniDepartment of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0001-5818-4007
Jawahar Sri Prakash ThiyagarajanDepartment of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.
Joe HorseyDepartment of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.
Sam W HughesDepartment of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0002-3769-3803
Sonia MedinaDepartment of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0001-8883-6520

Funding

Academy of Medical Sciences SBF007\100108National Institute for Health and Care Research (NIHR) Exeter Biomedical Research Centre (BRC)
6 · The paper itself

Abstract

backgroundPersistent mismatches between predicted and actual pain-related signals, namely prediction errors (PEs), can cause maladaptive overestimation of pain intensity, a common feature of chronic pain states. Experimental protocols used to assess the contribution of central sensitisation (CS) to dysregulated prediction systems are lacking. To address this, we implemented a novel virtual reality (VR) paradigm to evoke PEs during mechanical stimulation following experimentally induced CS via the high-frequency stimulation (HFS) model.

methodsTwenty healthy volunteers underwent HFS on the right forearm. Mechanical pain sensitivity (MPS) was assessed through pinprick stimuli before and 30 min post-HFS to evaluate secondary hyperalgesia. Following this, participants received mechanical stimuli at proximal (sensitised area) and distal (non-sensitised area) points from the HFS site, with visual cues presented on their arm via VR alongside hand tracking technology indicating the stimulus location, allowing participants to make pain predictions. Cues were either congruent (matching) or incongruent (mismatching) with the actual stimulus site to evoke PEs.

resultsResults showed that MPS significantly increased following HFS, confirming secondary hyperalgesia. Stimuli in sensitised areas induced more pain than in non-sensitised areas. Incongruent cues successfully elicited PEs across all locations; however, expectations modulated pain perception only in non-sensitised areas. Similarly, during incongruent trials, PEs diminished over time (reflecting adaptive learning) only in non-sensitised areas.

conclusionsThese data demonstrate that pain expectations can influence pain perception differently in centrally sensitised and non-sensitised states. We propose this protocol as a good candidate to assess how cognitive and psychological manipulations influence PEs at various stages of CS. SIGNIFICANCE STATEMENT: We introduce a novel VR paradigm to show that secondary hyperalgesia alters how pain expectations and prediction errors influence pain perception, highlighting distinct adaptive learning patterns.

Indexed as

Central Nervous System SensitizationHyperalgesiaPain PerceptionPain ThresholdVirtual RealityAdultCuesFemaleHealthy VolunteersHumansMalePain MeasurementPhysical StimulationYoung Adult

Identifiers

PMID40844024
PMCPMC12371844

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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.