ReviewiScience2023
Pain, from perception to action: A computational perspective.
Review in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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.
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.
Who cites it
20 citing papers in PubMed.
- Prediction, pain, and the power of context: toward a contemporary identity for the chiropractic profession.Chiropractic & manual therapies · 2026Review
- A Holistic and Dynamic Network-Level View of the Autonomic Nervous System.Annual review of biomedical engineering · 2026Review
- Beyond device parameters: psychological predictors of spinal cord stimulation success and their neurobiological mechanisms-a narrative review.Frontiers in psychology · 2026Review
- Bayesian attenuation of offset analgesia filters out random disturbances in noxious stimuli.Pain reports · 2025Article
- Direction Matters: A Crossover Study on Motor Adaptations to Movement-Evoked Pain Induced in the Lumbar Region.European journal of pain (London, England) · 2025Article
- Multidimensional Effects of Manual Therapy Combined with Pain Neuroscience-Based Sensorimotor Retraining in a Patient with Chronic Neck Pain: A Case Study Using fNIRS.Healthcare (Basel, Switzerland) · 2025Article
- Classic Psychedelics in Pain Modulation: Mechanisms, Clinical Evidence, and Future Perspectives.ACS chemical neuroscience · 2025Review
- Harnessing Extended Reality for Neurocognitive Training in Chronic Pain: State of the Art, Opportunities, and Future Directions.Healthcare (Basel, Switzerland) · 2025Review
- Pain integration of multimodal noxious stimulation based on the perceptual instruction.Proceedings. Biological sciences · 2025Article
- Thermosensory predictive coding underpins an illusion of pain.Science advances · 2025Article
- Consciousness Research Through Pain.Healthcare (Basel, Switzerland) · 2025Review
- Modelling Pain Perception Using Fuzzy Cognitive Maps.Journal of pain research · 2025Article
- The Intersection of Interoception and Anticipation Related to Pain.Current topics in behavioral neurosciences · 2025Review
- 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
- Expectation of pain and relief: A dynamical model of the neural basis for pain-trauma co-morbidity.Neuroscience and biobehavioral reviews · 2024Review
- Analgesia for the Bayesian Brain: How Predictive Coding Offers Insights Into the Subjectivity of Pain.Current pain and headache reports · 2023Review
- The Effect of Perioperative Auditory Stimulation with Music on Procedural Pain: A Narrative Review.Current pain and headache reports · 2023Review
- Lifeworlds in pain: a principled method for investigation and intervention.Neuroscience of consciousness · 2023Review
- 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
2 authors.
Funding
Abstract
Pain is driven by sensation and emotion, and in turn, it motivates decisions and actions. To fully appreciate the multidimensional nature of pain, we formulate the study of pain within a closed-loop framework of sensory-motor prediction. In this closed-loop cycle, prediction plays an important role, as the interaction between prediction and actual sensory experience shapes pain perception and subsequently, action. In this Perspective, we describe the roles of two prominent computational theories-Bayesian inference and reinforcement learning-in modeling adaptive pain behaviors. We show that prediction serves as a common theme between these two theories, and that each of these theories can explain unique aspects of the pain perception-action cycle. We discuss how these computational theories and models can improve our mechanistic understandings of pain-centered processes such as anticipation, attention, placebo hypoalgesia, and pain chronification.
Indexed as
Identifiers
What OpenQuestion holds
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.