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

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          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.

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          Most cited references128

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          The role of inflammation in depression: from evolutionary imperative to modern treatment target.

          Crosstalk between inflammatory pathways and neurocircuits in the brain can lead to behavioural responses, such as avoidance and alarm, that are likely to have provided early humans with an evolutionary advantage in their interactions with pathogens and predators. However, in modern times, such interactions between inflammation and the brain appear to drive the development of depression and may contribute to non-responsiveness to current antidepressant therapies. Recent data have elucidated the mechanisms by which the innate and adaptive immune systems interact with neurotransmitters and neurocircuits to influence the risk for depression. Here, we detail our current understanding of these pathways and discuss the therapeutic potential of targeting the immune system to treat depression.
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            Learned helplessness in humans: critique and reformulation.

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              Interoception: the sense of the physiological condition of the body.

              Converging evidence indicates that primates have a distinct cortical image of homeostatic afferent activity that reflects all aspects of the physiological condition of all tissues of the body. This interoceptive system, associated with autonomic motor control, is distinct from the exteroceptive system (cutaneous mechanoreception and proprioception) that guides somatic motor activity. The primary interoceptive representation in the dorsal posterior insula engenders distinct highly resolved feelings from the body that include pain, temperature, itch, sensual touch, muscular and visceral sensations, vasomotor activity, hunger, thirst, and 'air hunger'. In humans, a meta-representation of the primary interoceptive activity is engendered in the right anterior insula, which seems to provide the basis for the subjective image of the material self as a feeling (sentient) entity, that is, emotional awareness.
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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                15 November 2016
                2016
                : 10
                : 550
                Affiliations
                [1] 1Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zurich Zurich, Switzerland
                [2] 2Wellcome Trust Centre for Neuroimaging, University College London London, UK
                [3] 3Max Planck Institute for Metabolism Research Cologne, Germany
                [4] 4Department of Neurology, Schulthess Clinic Zurich, Switzerland
                [5] 5Center for Complementary and Integrative Medicine, University Hospital Zurich Zurich, Switzerland
                [6] 6Sackler Centre for Consciousness Science, School of Engineering and Informatics, University of Sussex Brighton, UK
                Author notes

                Edited by: Adeel Razi, Wellcome Trust Centre for Neuroimaging - UCL, UK

                Reviewed by: Sören Krach, University of Lübeck, Germany; Xiaosi Gu, University of Texas at Dallas, USA

                *Correspondence: Klaas E. Stephan stephan@ 123456biomed.ee.ethz.ch
                Article
                10.3389/fnhum.2016.00550
                5108808
                27895566
                47f17799-a733-498c-b1fc-c8f43e6d4a33
                Copyright © 2016 Stephan, Manjaly, Mathys, Weber, Paliwal, Gard, Tittgemeyer, Fleming, Haker, Seth and Petzschner.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 June 2016
                : 14 October 2016
                Page count
                Figures: 7, Tables: 0, Equations: 11, References: 213, Pages: 27, Words: 23219
                Categories
                Neuroscience
                Hypothesis and Theory

                Neurosciences
                computational psychiatry,effective connectivity,dynamic causal modeling,homeostasis,allostasis,predictive coding,active inference,multiple sclerosis

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