Evidence map›Paper›PMID 38823571›Full record

ArticleBiological psychology2024

Transdiagnostic failure to adapt interoceptive precision estimates across affective, substance use, and eating disorders: A replication and extension of previous results.

Claire A Lavalley, Navid Hakimi, Samuel Taylor, Rayus Kuplicki, Katherine L Forthman, Jennifer L Stewart, Martin P Paulus, Sahib S Khalsa, Ryan Smith

Abstract read
In one paragraph

Article in Biological psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Review
  3. The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Claire A LavalleyLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK 74136, USA.
Navid HakimiLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK 74136, USA.
Samuel TaylorLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK 74136, USA.
Rayus KuplickiLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK 74136, USA.
Katherine L ForthmanLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK 74136, USA.
Jennifer L StewartLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK 74136, USA; Oxley College of Health & Natural Sciences, The University of Tulsa, 800 S Tucker Dr, Tulsa, OK 74104, USA.
Martin P PaulusLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK 74136, USA; Oxley College of Health & Natural Sciences, The University of Tulsa, 800 S Tucker Dr, Tulsa, OK 74104, USA.
Sahib S KhalsaLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK 74136, USA; Oxley College of Health & Natural Sciences, The University of Tulsa, 800 S Tucker Dr, Tulsa, OK 74104, USA.
Ryan SmithLaureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK 74136, USA; Oxley College of Health & Natural Sciences, The University of Tulsa, 800 S Tucker Dr, Tulsa, OK 74104, USA. Electronic address: rsmith@laureateinstitute.org.

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI Jonathan Savitz · 2017 to 2026
$23.7M
Plasticity of Aversive Salience in Opioid Use DisorderR01DA050677 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI STEWART, JENNIFER LORRAINE · 2021 to 2025
$3.0M
Neural Basis of Meal Related Interoceptive Dysfunction in Anorexia NervosaK23MH112949 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI KHALSA, SAHIB · 2017 to 2021
$994k
NIDA NIH HHS R01 DA050677NIGMS NIH HHS P20 GM121312NIMH NIH HHS K23 MH112949
6 · The paper itself

Abstract

Recent Bayesian theories of interoception suggest that perception of bodily states rests upon a precision-weighted integration of afferent signals and prior beliefs. In a previous study, we fit a computational model of perception to behavior on a heartbeat tapping task to test whether aberrant precision-weighting could explain misestimation of cardiac states in psychopathology. We found that, during an interoceptive perturbation designed to amplify afferent signal precision (inspiratory breath-holding), healthy individuals increased the precision-weighting assigned to ascending cardiac signals (relative to resting conditions), while individuals with anxiety, depression, substance use disorders, and/or eating disorders did not. In this pre-registered study, we aimed to replicate and extend our prior findings in a new transdiagnostic patient sample (N = 285) similar to the one in the original study. As expected, patients in this new sample were also unable to adjust beliefs about the precision of cardiac signals - preventing the ability to accurately perceive changes in their cardiac state. Follow-up analyses combining samples from the previous and current study (N = 719) also afforded power to identify group differences between narrower diagnostic categories, and to examine predictive accuracy when logistic regression models were trained on one sample and tested on the other. With this confirmatory evidence in place, future studies should examine the utility of interoceptive precision measures in predicting treatment outcomes and test whether these computational mechanisms might represent novel therapeutic targets.

Indexed as

Feeding and Eating DisordersHeart RateInteroceptionSubstance-Related DisordersAdultBayes TheoremFemaleHumansMaleMiddle AgedYoung AdultAnxietyBayesian perceptionComputational modelingDepressionEating disordersInteroceptionPrecisionPriorsSubstance use

Identifiers

PMID38823571
PMCPMC11416323

What OpenQuestion holds

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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.