Evidence map›Paper›PMID 30642968›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Neural indicators of perceptual variability of pain across species.

L Hu, G D Iannetti

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Trial
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  7. A two-system theory of sensory-evoked brain responses.Brain : a journal of neurology · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Bridging the Gap in Pain Measurement with a Brain-Based Index.International journal of environmental research and public health · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. EEG connectivity features associated with fibromyalgia revealed by machine learning.Frontiers in pain research (Lausanne, Switzerland) · 2025
    Article
  19. Review
  20. Article

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

L HuCAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 100101 Beijing, China; huli@psych.ac.cn g.iannetti@ucl.ac.uk.
G D IannettiNeuroscience and Behaviour Laboratory, Istituto Italiano di Tecnologia, 00161 Rome, Italy; huli@psych.ac.cn g.iannetti@ucl.ac.uk.

Funding

European Research Council 649020Wellcome Trust
6 · The paper itself

Abstract

Individuals exhibit considerable and unpredictable variability in painful percepts in response to the same nociceptive stimulus. Previous work has found neural responses that, while not necessarily responsible for the painful percepts themselves, can still correlate well with intensity of pain perception within a given individual. However, there is no reliable neural response reflecting the variability in pain perception across individuals. Here, we use an electrophysiological approach in humans and rodents to demonstrate that brain oscillations in the gamma band [gamma-band event-related synchronization (γ-ERS)] sampled by central electrodes reliably predict pain sensitivity across individuals. We observed a clear dissociation between the large number of neural measures that reflected subjective pain ratings at within-subject level but not across individuals, and γ-ERS, which reliably distinguished subjective ratings within the same individual but also coded pain sensitivity across different individuals. Importantly, the ability of γ-ERS to track pain sensitivity across individuals was selective because it did not track the between-subject reported intensity of nonpainful but equally salient auditory, visual, and nonnociceptive somatosensory stimuli. These results also demonstrate that graded neural activity related to within-subject variability should be minimized to accurately investigate the relationship between nociceptive-evoked neural activities and pain sensitivity across individuals.

Indexed as

AdolescentAdultAnimalsElectroencephalographyFemaleHumansMalePainPain PerceptionPain ThresholdRats, Sprague-DawleySensationSomatosensory CortexYoung Adultgamma oscillationshumanindividual variabilityneural markerpain

Identifiers

PMID30642968
PMCPMC6358671

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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.