ArticleNature communications2022
Computational and neural mechanisms of statistical pain learning.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
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.
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Who cites it
23 citing papers in PubMed, 34 citations in OpenAlex.
- Beware of What You Expect? A Partial Replication Study on the Behavioral and Psychophysiological Effects of Negative Expectations on Mechanical Hypersensitivity.Psychophysiology · 2026Trial
- Progress in pain mechanisms and management.Signal transduction and targeted therapy · 2026Review
- Placebo and nocebo effects on pain through the lens of the predictive brain: Neurobiological mechanisms and translational implications.Experimental physiology · 2026Review
- Brain rhythms of depression: A predictive processing perspective.Trends in neurosciences · 2026Review
- Temporal predictions shape somatosensory perception.Nature communications · 2026Article
- Dynamic expectation strength and precision shape human pain perception through shared and dissociable α-oscillatory mechanisms.PLoS biology · 2026Article
- Homeostasis after injury: How intertwined inference and control underpin post-injury pain and behaviour.PLoS computational biology · 2026Article
- Beyond device parameters: psychological predictors of spinal cord stimulation success and their neurobiological mechanisms-a narrative review.Frontiers in psychology · 2026Review
- Expectation generation and its effect on subsequent pain and visual perception.PLoS computational biology · 2025Article
- Thermosensory predictive coding underpins an illusion of pain.Science advances · 2025Article
- Impact of Spinal Manipulative Therapy on Brain Function and Pain Alleviation in Lumbar Disc Herniation: A Resting-State fMRI Study.Chinese journal of integrative medicine · 2025Article
- Short-term variability of chronic musculoskeletal pain.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Advancing Pain Understanding and Drug Discovery: Insights from Preclinical Models and Recent Research Findings.Pharmaceuticals (Basel, Switzerland) · 2024Review
- A Computational Framework for Understanding the Impact of Prior Experiences on Pain Perception and Neuropathic Pain.PLoS computational biology · 2024Article
- A computational mechanism of cue-stimulus integration for pain in the brain.Science advances · 2024Article
- Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain.Nature communications · 2024Article
- Statistical learning shapes pain perception and prediction independently of external cues.eLife · 2024Article
- Intact painful sensation but enhanced non-painful sensation in individuals with autistic traits.Frontiers in psychiatry · 2024Article
- Confidence of probabilistic predictions modulates the cortical response to pain.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Hierarchical predictive coding in distributed pain circuits.Frontiers in neural circuits · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Pain invariably changes over time. These fluctuations contain statistical regularities which, in theory, could be learned by the brain to generate expectations and control responses. We demonstrate that humans learn to extract these regularities and explicitly predict the likelihood of forthcoming pain intensities in a manner consistent with optimal Bayesian inference with dynamic update of beliefs. Healthy participants received probabilistic, volatile sequences of low and high-intensity electrical stimuli to the hand during brain fMRI. The inferred frequency of pain correlated with activity in sensorimotor cortical regions and dorsal striatum, whereas the uncertainty of these inferences was encoded in the right superior parietal cortex. Unexpected changes in stimulus frequencies drove the update of internal models by engaging premotor, prefrontal and posterior parietal regions. This study extends our understanding of sensory processing of pain to include the generation of Bayesian internal models of the temporal statistics of pain.
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Registered trials
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.