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

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 ut...

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Autores principales: Rieger, Sebastian W., Stephan, Klaas Enno, Harrison, Olivia K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236550/
https://www.ncbi.nlm.nih.gov/pubmed/32477083
http://dx.doi.org/10.3389/fnhum.2020.00161
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author Rieger, Sebastian W.
Stephan, Klaas Enno
Harrison, Olivia K.
author_facet Rieger, Sebastian W.
Stephan, Klaas Enno
Harrison, Olivia K.
author_sort Rieger, Sebastian W.
collection PubMed
description 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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spelling pubmed-72365502020-05-29 Remote, Automated, and MRI-Compatible Administration of Interoceptive Inspiratory Resistive Loading Rieger, Sebastian W. Stephan, Klaas Enno Harrison, Olivia K. Front Hum Neurosci Neuroscience 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. Frontiers Media S.A. 2020-05-12 /pmc/articles/PMC7236550/ /pubmed/32477083 http://dx.doi.org/10.3389/fnhum.2020.00161 Text en Copyright © 2020 Rieger, Stephan and Harrison. http://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Neuroscience
Rieger, Sebastian W.
Stephan, Klaas Enno
Harrison, Olivia K.
Remote, Automated, and MRI-Compatible Administration of Interoceptive Inspiratory Resistive Loading
title Remote, Automated, and MRI-Compatible Administration of Interoceptive Inspiratory Resistive Loading
title_full Remote, Automated, and MRI-Compatible Administration of Interoceptive Inspiratory Resistive Loading
title_fullStr Remote, Automated, and MRI-Compatible Administration of Interoceptive Inspiratory Resistive Loading
title_full_unstemmed Remote, Automated, and MRI-Compatible Administration of Interoceptive Inspiratory Resistive Loading
title_short Remote, Automated, and MRI-Compatible Administration of Interoceptive Inspiratory Resistive Loading
title_sort remote, automated, and mri-compatible administration of interoceptive inspiratory resistive loading
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236550/
https://www.ncbi.nlm.nih.gov/pubmed/32477083
http://dx.doi.org/10.3389/fnhum.2020.00161
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