Longing to act: Bayesian inference as a framework for craving in behavioral addiction

Kulkarni, Kaustubh; O’Brien, Madeline; Gu, Xiaosi

doi:10.1016/j.addbeh.2023.107752

Cited by 5 publications

(2 citation statements)

References 65 publications

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“…Unlike the broader results above, these regressions found that pHB in the no-guessing condition also differentiated HCs from some disorders in iSUDs: cannabis use disorder, opioid use disorder, sedative use disorder, and GAD (i.e., greater values in each disorder than HCs). These findings may be consistent with previous models of drug craving in iSUDs that suggest overweighting of prior expectations regarding physiological states and subsequent down-weighting of interoceptive signals (42,43). These pHB estimates also distinguished iSUDs with GAD from those with other disorders (higher values in GAD), suggesting some potential diagnostic specificity not detected previously.…”

Section: Replication Of Secondary Findingssupporting

confidence: 89%

Transdiagnostic failure to adapt interoceptive precision estimates across affective, substance use, and eating disorders: A replication study

Lavalley,

Hakimi,

Taylor

et al. 2023

Preprint

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Recent computational theories of interoception suggest that perception of bodily states rests upon an expected reliability- or precision-weighted integration of afferent signals and prior beliefs. The computational psychiatry framework further suggests that aberrant precision-weighting may lead to misestimation of bodily states, potentially hindering effective visceral regulation and promoting psychopathology. In a previous study, we fit a Bayesian computational model of perception to behavior on a heartbeat tapping task to test whether aberrant precision-weighting was associated with misestimation of bodily states. 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 symptoms of anxiety, depression, substance use disorders, and/or eating disorders did not. A second study also replicated the pattern observed in healthy participants. In this pre-registered study, we aimed to replicate our prior findings in a new transdiagnostic patient sample (N=285) similar to the one in the original study. These new results successfully replicated those found in our previous study, indicating that, transdiagnostically, patients were unable to adjust beliefs about the reliability of interoceptive signals - preventing the ability to accurately perceive changes in their bodily state. Follow-up analyses combining samples from the previous and current study (N=719) also afforded the power to identify group differences within narrower diagnostic groups and to examine predictive accuracy when logistic regression models were trained on one sample and tested on the other. Given the increased confidence in the generalizability of these effects, future studies should examine the utility of interceptive precision measures in predicting treatment outcomes or identify whether these computational mechanisms might represent novel therapeutic targets for improving visceral regulation.

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Section: Replication Of Secondary Findingssupporting

confidence: 89%

Transdiagnostic failure to adapt interoceptive precision estimates across affective, substance use, and eating disorders: A replication study

Lavalley,

Hakimi,

Taylor

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…This is implemented through an abductive strategy by proposing a normal functioning model and then altering it to generate new hypotheses for biological dysfunction, or using a deductive method, beginning with established neurobiological deficits observed in mental illnesses and incorporating these deficits into a computational model (Khaleghi et al ., 2022 ). Theory-driven approaches have identified the computations underlying atypical behaviour for a range of mental health disorders including obsessive–compulsive disorders (Loosen & Hauser, 2020 ), autism spectrum disorders (Crawley & Zhang et al ., 2020 ), schizophrenia (Kreis et al ., 2022 , 2023 ); attention deficit hyperactivity disorders (Ging-Jehli et al ., 2021 ), psychopathy (Pauli & Lockwood, 2023 ), addiction (Kulkarni et al ., 2023 ), and anxiety (Goldway et al ., 2023 ).…”

Section: Social Anxiety Disorder Through the Lens Of Computational Ps...mentioning

confidence: 99%

Informing the treatment of social anxiety disorder with computational and neuroimaging data

Sohail,

Zhang

2024

Psychoradiology

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

Lavalley,

Hakimi,

Taylor

et al. 2024

Biological Psychology

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Longing to act: Bayesian inference as a framework for craving in behavioral addiction

Cited by 5 publications

References 65 publications

Transdiagnostic failure to adapt interoceptive precision estimates across affective, substance use, and eating disorders: A replication study

Transdiagnostic failure to adapt interoceptive precision estimates across affective, substance use, and eating disorders: A replication study

Informing the treatment of social anxiety disorder with computational and neuroimaging data

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

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