Why Depressed Mood is Adaptive: A Numerical Proof of Principle for an Evolutionary Systems Theory of Depression. Issue 1 (2nd June 2021)

• Record Type: Journal Article
• Authors: Constant, Axel; Hesp, Casper; Davey, Christopher G.; Friston, Karl J.; Badcock, Paul B.
• Is Part Of: Computational psychiatry. Volume 5:Issue 1(2021)
• Page Start: 60
• Page End: 80
• Publication Date: 2021-06-02
• Subjects: Depression -- Anhedonia -- Social withdrawal -- Active inference -- Adaptive Prior -- Computational phenotyping -- Evolutionary systems theory -- Simulation study -- Social risk hypothesis -- Two-arm bandit; Psychiatry -- Mathematical models -- Periodicals; Psychiatry -- Data processing -- Periodicals; Computational neuroscience -- Periodicals; 616.89140285
• DOI: 10.5334/cpsy.70
• Languages: English
• ISSNs: 2379-6227

Abstract

We provide a proof of principle for an evolutionary systems theory (EST) of depression. This theory suggests that normative depressive symptoms counter socioenvironmental volatility by increasing interpersonal support via social signalling and that this response depends upon the encoding of uncertainty about social contingencies, which can be targeted by neuromodulatory antidepressants. We simulated agents that committed to a series of decisions in a social two-arm bandit task before and after social adversity, which precipitated depressive symptoms. Responses to social adversity were modelled under various combinations of social support and pharmacotherapy. The normative depressive phenotype responded positively to social support and simulated treatments with antidepressants. Attracting social support and administering antidepressants also alleviated anhedonia and social withdrawal, speaking to improvements in interpersonal relationships. These results support the EST of depression by demonstrating that following adversity, normative depressed mood preserved social inclusion with appropriate interpersonal support or pharmacotherapy.