Evidence map›Paper›PMID 41203973›Full record

ArticleEuropean journal of pain (London, England)2025

EEG Correlates of the Influence of Somatosensory Input, Expectations and Trait-Like Bias on Pain Perception.

Ariane Delgado-Sanchez, Christiana Charalambous, Hannah Safi, Anthony Jones, Christopher Brown, Nelson J Trujillo-Barreto

Abstract read
In one paragraph

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 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ariane Delgado-SanchezSchool of Psychology, Manchester Metropolitan University, Manchester, UK.ORCID 0000-0002-2390-6433
Christiana CharalambousDepartment of Mathematics, The University of Manchester, Manchester, UK.
Hannah SafiMedical Physics Department, Salford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, UK.
Anthony JonesDivision of Human Communication, Development, and Hearing, University of Manchester, Manchester, UK.
Christopher BrownInstitute of Population Health, University of Liverpool, Liverpool, UK.
Nelson J Trujillo-BarretoSchool of Psychology, Manchester Metropolitan University, Manchester, UK.

Funding

MRC DTP Programme MR/N013751/1
6 · The paper itself

Abstract

backgroundThe weighting of somatosensory input and pain expectation during pain perception is promising for pain phenotyping, with good test-retest reliability. Yet, their concurrent validity with neural and psychological variables requires further investigation.

objectivesIn this cross-sectional study, we investigated the concurrent validity of these weights with EEG source correlates of the somatosensory and expectation components during pain processing.

methodsParticipants completed a cued pain paradigm, with EEG recorded during pain expectation and perception. We used Bayesian inference to estimate the participant-specific weighting of somatosensory input, expectations and trait-like bias, and identified sources of brain activity at different stages of the cued pain task (early anticipation, late anticipation and post-stimulation). We correlated the estimated weights with EEG source activity across individuals.

resultsAs hypothesised, the weight placed on somatosensory input correlated with source activity in areas related to attention (middle frontal gyrus) and sensory processing (postcentral gyrus) during late anticipation. The expectation weight positively correlated with activity in areas related to attention (middle frontal gyrus) and semantic processing (medial temporal gyrus). We found no significant correlations between any of the weights and analgesic or hyperalgesic psychological variables (mindfulness, pain catastrophising and attachment).

conclusionOur findings support the concurrent validity of sensory and expectation weights with related EEG source activity in pain perception, reinforcing their utility in pain phenotyping and paving the way for more personalised pain management. SIGNIFICANCE: Our findings support the concurrent validity of sensory and expectation weights extracted through a Bayesian model. This finding supports the use of these weights for pain phenotyping.

Indexed as

Anticipation, PsychologicalBrainPainPain PerceptionAdultBayes TheoremCross-Sectional StudiesCuesElectroencephalographyFemaleHumansMalePain MeasurementYoung Adult

Identifiers

PMID41203973
PMCPMC12594617

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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.