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Distorted Cognitive Processes in Major Depression: A Predictive Processing Perspective.

Tobias Kube1, Rainer Schwarting2, Liron Rozenkrantz3

  • 1Department of Clinical Psychology and Psychotherapy, Faculty of Psychology, University of Koblenz-Landau, Landau, Germany; Department of Clinical Psychology and Psychotherapy, Faculty of Psychology, Philipps-University of Marburg, Marburg, Germany; Program in Placebo Studies, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

Biological Psychiatry
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Summary

People with depression exhibit biased learning, negatively reappraising positive information to sustain negative expectations. This creates a self-reinforcing loop, suggesting a need for updated cognitive models of depression.

Keywords:
Belief updateCognitive immunizationDepressionExpectationPrediction errorPredictive processing

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Area of Science:

  • Cognitive Neuroscience
  • Psychiatry
  • Computational Psychiatry

Background:

  • The traditional cognitive model of depression is criticized for being too broad.
  • Recent advances in cognitive neuroscience and psychiatry offer new perspectives.

Purpose of the Study:

  • To reformulate the cognitive model of depression using Bayesian brain and predictive processing accounts.
  • To explain distorted learning mechanisms in depression.

Main Methods:

  • Review of cognitive neuroscience and psychiatry literature.
  • Application of predictive processing and Bayesian models.
  • Analysis of neurophysiological correlates of prediction error processing.

Main Results:

  • Depression involves distorted learning, where positive information disconfirming negative expectations is disregarded.
  • This leads to sustained negative predictions and biased learning.
  • Neurophysiological deficits in processing prediction errors are observed in depression.

Conclusions:

  • A novel mechanistic model of depression is proposed, centered on a self-reinforcing negative feedback loop.
  • Pathology may involve excessive precision in negative prior beliefs and attenuated positive prediction errors.
  • Future research should explore behavioral and neurophysiological underpinnings and clinical implications.