A Bayesian computational model reveals a failure to adapt interoceptive precision estimates across depression, anxiety, eating, and substance use disorders.
Recent neurocomputational theories have hypothesized that abnormalities in prior beliefs and/or the precision-weighting of afferent interoceptive signals may facilitate the transdiagnostic emergence of psychopathology. Specifically, it has been suggested that, in certain psychiatric disorders, inter...
Main Authors: | Ryan Smith, Rayus Kuplicki, Justin Feinstein, Katherine L Forthman, Jennifer L Stewart, Martin P Paulus, Tulsa 1000 investigators, Sahib S Khalsa |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-12-01
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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1008484 |
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