Evidence map›Paper›PMID 39526882›Full record

ArticleeLife2024

A distributed brain response predicting the facial expression of acute nociceptive pain.

Marie-Eve Picard, Miriam Kunz, Jen-I Chen, Michel-Pierre Coll, Etienne Vachon-Presseau, Tor D Wager, Pierre Rainville

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Marie-Eve PicardDepartment of Psychology, Université de Montréal, Montreal, Canada.ORCID https://orcid.org/0009-0001-2412-7829
Miriam KunzDepartment of medical psychology and sociology, Medical faculty, University of Augsburg, Augsburg, Germany.
Jen-I ChenDepartment of Psychology, Université de Montréal, Montreal, Canada.
Michel-Pierre CollSchool of Psychology, Université Laval, Quebec, Canada.ORCID https://orcid.org/0000-0002-1475-5522
Etienne Vachon-PresseauFaculty of Dentistry, McGill University, Montreal, Canada.ORCID https://orcid.org/0000-0002-8681-3154
Tor D WagerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, United States.
Pierre RainvilleCentre de recherche de l'institut universitaire de gériatrie de Montréal, Montreal, Canada.ORCID https://orcid.org/0000-0001-9801-757X

Funding

fMRI-based Biomarkers for Multiple Components of PainR01DA035484 · NIDA · UNIVERSITY OF COLORADO · PI WAGER, TOR D. · 2013 to 2017
$3.1M
Natural Sciences and Engineering Research Council of Canada RGPIN-2018-06799NIDA NIH HHS R01 DA035484NIH HHS R01 DA035484
6 · The paper itself

Abstract

Pain is a private experience observable through various verbal and non-verbal behavioural manifestations, each of which may relate to different pain-related functions. Despite the importance of understanding the cerebral mechanisms underlying those manifestations, there is currently limited knowledge of the neural correlates of the facial expression of pain. In this functional magnetic resonance imaging (fMRI) study, noxious heat stimulation was applied in healthy volunteers and we tested if previously published brain signatures of pain were sensitive to pain expression. We then applied a multivariate pattern analysis to the fMRI data to predict the facial expression of pain. Results revealed the inability of previously developed pain neurosignatures to predict the facial expression of pain. We thus propose a facial expression of pain signature (FEPS) conveying distinctive information about the brain response to nociceptive stimulations with minimal or no overlap with other pain-relevant brain signatures associated with nociception, pain ratings, thermal pain aversiveness, or pain valuation. The FEPS may provide a distinctive functional characterization of the distributed cerebral response to nociceptive pain associated with the socio-communicative role of non-verbal pain expression. This underscores the complexity of pain phenomenology by reinforcing the view that neurosignatures conceived as biomarkers must be interpreted in relation to the specific pain manifestation(s) predicted and their underlying function(s). Future studies should explore other pain-relevant manifestations and assess the specificity of the FEPS against simulated pain expressions and other types of aversive or emotional states.

Indexed as

BrainFacial ExpressionMagnetic Resonance ImagingNociceptive PainAdultBrain MappingFemaleHealthy VolunteersHot TemperatureHumansMaleNociceptionYoung Adultbrain signaturefacial expressionhumanneuroimagingneurosciencenon-verbal communicationpain

Identifiers

PMID39526882
PMCPMC11554303

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Registered trials

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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.