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      Remote, Automated, and MRI-Compatible Administration of Interoceptive Inspiratory Resistive Loading

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          Abstract

          Research on how humans perceive sensory inputs from their bodies (“interoception”) has been rapidly gaining momentum, with interest across a host of disciplines from physiology through to psychiatry. However, studying interoceptive processes is not without significant challenges, and many methods utilized to access internal states have been largely devoted to capturing and relating naturally occurring variations in interoceptive signals (such as heartbeats) to measures of how the brain processes these signals. An alternative procedure involves the controlled perturbation of specific interoceptive axes. This is challenging because it requires non-invasive interventions that can be repeated many times within a subject and that are potent but safe. Here we present an effective methodology for instigating these perturbations within the breathing domain. We describe a custom-built circuitry that is capable of delivering inspiratory resistive loads automatically and precisely. Importantly, our approach is compatible with magnetic resonance imaging (MRI) environments, allowing for the administration of complicated experimental designs in neuroimaging as increasingly required within developing fields such as computational psychiatry/psychosomatics. We describe the experimental setup for both the control and monitoring of the inspiratory resistive loads, and demonstrate its possible utilities within different study designs. This methodology represents an important step forward from the previously utilized, manually controlled resistive loading setups, which present significant experimental burdens with prolonged and/or complicated sequences of breathing stimuli.

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          Most cited references30

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          Interoceptive inference, emotion, and the embodied self.

          The concept of the brain as a prediction machine has enjoyed a resurgence in the context of the Bayesian brain and predictive coding approaches within cognitive science. To date, this perspective has been applied primarily to exteroceptive perception (e.g., vision, audition), and action. Here, I describe a predictive, inferential perspective on interoception: 'interoceptive inference' conceives of subjective feeling states (emotions) as arising from actively-inferred generative (predictive) models of the causes of interoceptive afferents. The model generalizes 'appraisal' theories that view emotions as emerging from cognitive evaluations of physiological changes, and it sheds new light on the neurocognitive mechanisms that underlie the experience of body ownership and conscious selfhood in health and in neuropsychiatric illness. Copyright © 2013 Elsevier Ltd. All rights reserved.
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            Interoception and Mental Health: A Roadmap

            Interoception refers to the process by which the nervous system senses, interprets, and integrates signals originating from within the body, providing a moment-by-moment mapping of the body’s internal landscape across conscious and unconscious levels. Interoceptive signaling has been considered a component process of reflexes, urges, feelings, drives, adaptive responses, and cognitive and emotional experiences, highlighting its contributions to the maintenance of homeostatic functioning, body regulation, and survival. Dysfunction of interoception is increasingly recognized as an important component of different mental health conditions, including anxiety disorders, mood disorders, eating disorders, addictive disorders, and somatic symptom disorders. However, a number of conceptual and methodological challenges have made it difficult for interoceptive constructs to be broadly applied in mental health research and treatment settings. In November 2016, the Laureate Institute for Brain Research organized the first Interoception Summit, a gathering of interoception experts from around the world, with the goal of accelerating progress in understanding the role of interoception in mental health. The discussions at the meeting were organized around four themes: interoceptive assessment, interoceptive integration, interoceptive psychopathology, and the generation of a roadmap that could serve as a guide for future endeavors. This review article presents an overview of the emerging consensus generated by the meeting.
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              Active Inference, homeostatic regulation and adaptive behavioural control

              Highlights • An Active Inference account of homeostatic regulation and behavioural control. • Pavlovian, habitual and goal-directed behaviours explained with one scheme. • A possible phylogenetic trajectory from simpler to hierarchical controllers. • Precision-dependent processes regulate habitual and goal-directed behaviour.
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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
                12 May 2020
                2020
                : 14
                : 161
                Affiliations
                [1] 1Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford , Oxford, United Kingdom
                [2] 2FMRIB Centre, Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford , Oxford, United Kingdom
                [3] 3Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich and ETH Zürich , Zurich, Switzerland
                [4] 4Wellcome Centre for Human Neuroimaging, University College London , London, United Kingdom
                [5] 5Max Planck Institute for Metabolism Research , Cologne, Germany
                [6] 6Nuffield Department of Clinical Neurosciences, University of Oxford , Oxford, United Kingdom
                Author notes

                Edited by: Daniel S. Margulies, Centre National de la Recherche Scientifique (CNRS), France

                Reviewed by: Ian Kleckner, University of Rochester, United States; Tim Rohe, University Hospital Tübingen, Germany

                *Correspondence: Olivia K. Harrison, faull@ 123456biomed.ee.ethz.ch

                This article was submitted to Sensory Neuroscience, a section of the journal Frontiers in Human Neuroscience

                Article
                10.3389/fnhum.2020.00161
                7236550
                32477083
                dbb7007b-7cb6-4121-813f-920a835d0d2d
                Copyright © 2020 Rieger, Stephan and Harrison.

                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) and the copyright owner(s) 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
                : 18 January 2020
                : 14 April 2020
                Page count
                Figures: 7, Tables: 3, Equations: 0, References: 37, Pages: 11, Words: 0
                Funding
                Funded by: H2020 Marie Skłodowska-Curie Actions 10.13039/100010665
                Funded by: Universität Zürich 10.13039/501100006447
                Categories
                Neuroscience
                Methods

                Neurosciences
                interoception,breathing,perception,inspiratory resistance,mri
                Neurosciences
                interoception, breathing, perception, inspiratory resistance, mri

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