Evidence map›Paper›PMID 34311031›Full record

ArticleBiological psychology2021

Gut inference: A computational modelling approach.

Ryan Smith, Ahmad Mayeli, Samuel Taylor, Obada Al Zoubi, Jessyca Naegele, Sahib S Khalsa

Abstract read
In one paragraph

Article in Biological psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Altered Gastrointestinal Interoception in Anorexia Nervosa Predicts Relapse.medRxiv : the preprint server for health sciences · 2025
    Article
  9. Review
  10. The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Body as First Teacher: The Role of Rhythmic Visceral Dynamics in Early Cognitive Development.Perspectives on psychological science : a journal of the Association for Psychological Science · 2025
    Article
  16. Article
  17. Review
  18. The neurobiology of interoception and affect.Trends in cognitive sciences · 2024
    Review
  19. Interoception: Where do we go from here?Quarterly journal of experimental psychology (2006) · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ryan SmithLaureate Institute for Brain Research, Tulsa, OK, United States. Electronic address: rsmith@laureateinstitute.org.
Ahmad MayeliLaureate Institute for Brain Research, Tulsa, OK, United States.
Samuel TaylorLaureate Institute for Brain Research, Tulsa, OK, United States.
Obada Al ZoubiLaureate Institute for Brain Research, Tulsa, OK, United States.
Jessyca NaegeleLaureate Institute for Brain Research, Tulsa, OK, United States.
Sahib S KhalsaLaureate Institute for Brain Research, Tulsa, OK, United States; Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, United States. Electronic address: skhalsa@laureateinstitute.org.

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI Maëlle Camille Marie Gueguen · 2017 to 2026
$23.7M
A neurocomputational assay of gastrointestinal interoception in anorexia nervosaR01MH127225 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI KHALSA, SAHIB S., PAULUS, MARTIN P. · 2021 to 2025
$3.2M
Neural Basis of Meal Related Interoceptive Dysfunction in Anorexia NervosaK23MH112949 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI KHALSA, SAHIB · 2017 to 2021
$994k
NIGMS NIH HHS P20 GM121312NIMH NIH HHS K23 MH112949NIMH NIH HHS R01 MH127225
6 · The paper itself

Abstract

Neurocomputational theories have hypothesized that Bayesian inference underlies interoception, which has become a topic of recent experimental work in heartbeat perception. To extend this approach beyond cardiac interoception, we describe the application of a Bayesian computational model to a recently developed gastrointestinal interoception task completed by 40 healthy individuals undergoing simultaneous electroencephalogram (EEG) and peripheral physiological recording. We first present results that support the validity of this modelling approach. Second, we provide a test of, and confirmatory evidence supporting, the neural process theory associated with a particular Bayesian framework (active inference) that predicts specific relationships between computational parameters and event-related potentials in EEG. We also offer some exploratory evidence suggesting that computational parameters may influence the regulation of peripheral physiological states. We conclude that this computational approach offers promise as a tool for studying individual differences in gastrointestinal interoception.

Indexed as

InteroceptionBayes TheoremElectroencephalographyEvoked PotentialsHeart RateHumansActive inferenceBayesian perceptionComputational modelingGastrointestinal systemInteroceptionLearning ratePrecisionPriors

Identifiers

PMID34311031
PMCPMC8429276

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.