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

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 preci...

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Veröffentlicht in:Biological psychology 2024-09, Vol.191, p.108825, Article 108825
Hauptverfasser: Lavalley, Claire A., Hakimi, Navid, Taylor, Samuel, Kuplicki, Rayus, Forthman, Katherine L., Stewart, Jennifer L., Paulus, Martin P., Khalsa, Sahib S., Smith, Ryan
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Sprache:eng
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Zusammenfassung: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. •We used a computational approach to model behavior on a cardiac interoception task.•A patient group included affective, substance use, and eating disorders.•Unlike healthy individuals, patients did not update sensory precision estimates.•This replicated results found in a previous sample of similar patients.•Combining samples, we also confirmed this effect in narrower diagnostic categories.
ISSN:0301-0511
1873-6246
1873-6246
DOI:10.1016/j.biopsycho.2024.108825