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Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression

Stephan, K. E.
•
Manjaly, Z. M.
•
Weber, L. A. E.
altro
Mathys, Christoph Daniel
2016
  • journal article

Periodico
FRONTIERS IN HUMAN NEUROSCIENCE
Abstract
This paper outlines a hierarchical Bayesian framework for interoception, homeostatic/allostatic control, and meta-cognition that connects fatigue and depression to the experience of chronic dyshomeostasis. Specifically, viewing interoception as the inversion of a generative model of viscerosensory inputs allows for a formal definition of dyshomeostasis (as chronically enhanced surprise about bodily signals, or, equivalently, low evidence for the brain's model of bodily states) and allostasis (as a change in prior beliefs or predictions which define setpoints for homeostatic reflex arcs). Critically, we propose that the performance of interoceptive-allostatic circuitry is monitored by a metacognitive layer that updates beliefs about the brain's capacity to successfully regulate bodily states (allostatic self-efficacy). In this framework, fatigue and depression can be understood as sequential responses to the interoceptive experience of dyshomeostasis and the ensuing metacognitive diagnosis of low allostatic self-efficacy. While fatigue might represent an early response with adaptive value (cf. sickness behavior), the experience of chronic dyshomeostasis may trigger a generalized belief of low self-efficacy and lack of control (cf. learned helplessness), resulting in depression. This perspective implies alternative pathophysiological mechanisms that are reflected by differential abnormalities in the effective connectivity of circuits for interoception and allostasis. We discuss suitably extended models of effective connectivity that could distinguish these connectivity patterns in individual patients and may help inform differential diagnosis of fatigue and depression in the future. Copyright © 2016 Stephan, Manjaly, Mathys, Weber, Paliwal, Gard, Tittgemeyer, Fleming, Haker, Sethand Petzschner.
DOI
10.3389/fnhum.2016.00550
WOS
WOS:000452773400001
Archivio
http://hdl.handle.net/20.500.11767/47824
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84995970222
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108808/
Diritti
open access
Soggetti
  • active inference

  • allostasi

  • computational psychia...

  • dynamic causal modeli...

  • effective connectivit...

  • homeostasi

  • multiple sclerosi

  • predictive coding

  • Settore M-PSI/02 - Ps...

Scopus© citazioni
161
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
216
Data di acquisizione
Mar 2, 2024
Visualizzazioni
3
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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