Interoception: the Sense of the Physiological Condition of the Body AD (Bud) Craig
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The Relationships Between Interoception and Alexithymic Trait
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Frontiers - Publisher Connector ORIGINAL RESEARCH published: 07 August 2015 doi: 10.3389/fpsyg.2015.01149 The relationships between interoception and alexithymic trait. The Self-Awareness Questionnaire in healthy subjects Mariachiara Longarzo 1*, Francesca D’Olimpio 1, Angela Chiavazzo 1, Gabriella Santangelo 1, 2, Luigi Trojano 1 and Dario Grossi 1* 1 Laboratory of Neuropsychology, Department of Psychology, Second University of Naples, Caserta, Italy, 2 Hermitage Capodimonte, Napoli, Italy Interoception is the basic process enabling evaluation of one’s own bodily states. Several previous studies suggested that altered interoception might be related to disorders in the ability to perceive and express emotions, i.e., alexithymia, and to defects in perceiving and Edited by: describing one’s own health status, i.e., hypochondriasis. The main aim of the present Olga Pollatos, University of Ulm, Germany study was to investigate the relationships between alexithymic trait and interoceptive Reviewed by: abilities evaluated by the “Self-Awareness Questionnaire” (SAQ), a novel self-report tool Glenn Carruthers, for assessing interoceptive awareness. Two hundred and fifty healthy subjects completed Macquarie University, Australia the SAQ, the Toronto Alexithymia Scale-20 items (TAS-20), and a questionnaire to assess Neil Gerald Muggleton, National Central University, Taiwan hypochondriasis, the Illness Attitude Scale (IAS). The SAQ showed a two-factor structure, -
Five Topographically Organized Fields in the Somatosensory Cortex of the Flying Fox: Microelectrode Maps, Myeloarchitecture, and Cortical Modules
THE JOURNAL OF COMPARATIVE NEUROLOGY 317:1-30 (1992) Five Topographically Organized Fields in the Somatosensory Cortex of the Flying Fox: Microelectrode Maps, Myeloarchitecture, and Cortical Modules LEAH A. KRUBITZER AND MIKE B. CALFORD Vision, Touch and Hearing Research Centre, Department of Physiology and Pharmacology, The University of Queensland, Queensland, Australia 4072 ABSTRACT Five somatosensory fields were defined in the grey-headed flying fox by using microelec- trode mapping procedures. These fields are: the primary somatosensory area, SI or area 3b; a field caudal to area 3b, area 1/2; the second somatosensory area, SII; the parietal ventral area, PV; and the ventral somatosensory area, VS. A large number of closely spaced electrode penetrations recording multiunit activity revealed that each of these fields had a complete somatotopic representation. Microelectrode maps of somatosensory fields were related to architecture in cortex that had been flattened, cut parallel to the cortical surface, and stained for myelin. Receptive field size and some neural properties of individual fields were directly compared. Area 3b was the largest field identified and its topography was similar to that described in many other mammals. Neurons in 3b were highly responsive to cutaneous stimulation of peripheral body parts and had relatively small receptive fields. The myeloarchi- tecture revealed patches of dense myelination surrounded by thin zones of lightly myelinated cortex. Microelectrode recordings showed that myelin-dense and sparse zones in 3b were related to neurons that responded consistently or habituated to repetitive stimulation respectively. In cortex caudal to 3b, and protruding into 3b, a complete representation of the body surface adjacent to much of the caudal boundary of 3b was defined. -
The Contribution of Sensory System Functional Connectivity Reduction to Clinical Pain in Fibromyalgia
1 The contribution of sensory system functional connectivity reduction to clinical pain in fibromyalgia Jesus Pujol1,2, Dídac Macià1, Alba Garcia-Fontanals3, Laura Blanco-Hinojo1,4, Marina López-Solà1,5, Susana Garcia-Blanco6, Violant Poca-Dias6, Ben J Harrison7, Oren Contreras-Rodríguez1, Jordi Monfort8, Ferran Garcia-Fructuoso6, Joan Deus1,3 1MRI Research Unit, CRC Mar, Hospital del Mar, Barcelona, Spain. 2Centro Investigación Biomédica en Red de Salud Mental, CIBERSAM G21, Barcelona, Spain. 3Department of Clinical and Health Psychology, Autonomous University of Barcelona, Spain. 4Human Pharmacology and Neurosciences, Institute of Neuropsychiatry and Addiction, Hospital del Mar Research Institute, Barcelona, Spain. 5Department of Psychology and Neuroscience. University of Colorado, Boulder, Colorado. 6Rheumatology Department, Hospital CIMA Sanitas, Barcelona, Spain. 7Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, Australia. 8Rheumatology Department, Hospital del Mar, Barcelona, Spain The submission contains: The main text file (double-spaced 39 pages) Six Figures One supplemental information file Corresponding author: Dr. Jesus Pujol Department of Magnetic Resonance, CRC-Mar, Hospital del Mar Passeig Marítim 25-29. 08003, Barcelona, Spain Email: [email protected] Telephone: + 34 93 221 21 80 Fax: + 34 93 221 21 81 Synopsis/ Summary Clinical pain in fibromyalgia is associated with functional changes at different brain levels in a pattern suggesting a general weakening of sensory integration. 2 Abstract Fibromyalgia typically presents with spontaneous body pain with no apparent cause and is considered pathophysiologically to be a functional disorder of somatosensory processing. We have investigated potential associations between the degree of self-reported clinical pain and resting-state brain functional connectivity at different levels of putative somatosensory integration. -
Brain Maps – the Sensory Homunculus
Brain Maps – The Sensory Homunculus Our brains are maps. This mapping results from the way connections in the brain are ordered and arranged. The ordering of neural pathways between different parts of the brain and those going to and from our muscles and sensory organs produces specific patterns on the brain surface. The patterns on the brain surface can be seen at various levels of organization. At the most general level, areas that control motor functions (muscle movement) map to the front-most areas of the cerebral cortex while areas that receive and process sensory information are more towards the back of the brain (Figure 1). Motor Areas Primary somatosensory area Primary visual area Sensory Areas Primary auditory area Figure 1. A diagram of the left side of the human cerebral cortex. The image on the left shows the major division between motor functions in the front part of the brain and sensory functions in the rear part of the brain. The image on the right further subdivides the sensory regions to show regions that receive input from somatosensory, auditory, and visual receptors. We then can divide these general maps of motor and sensory areas into regions with more specific functions. For example, the part of the cerebral cortex that receives visual input from the retina is in the very back of the brain (occipital lobe), auditory information from the ears comes to the side of the brain (temporal lobe), and sensory information from the skin is sent to the top of the brain (parietal lobe). But, we’re not done mapping the brain. -
Exposure to Negative Socio-Emotional Events Induces Sustained Alteration of Resting-State Brain Networks in the Elderly
Exposure to negative socio-emotional events induces sustained alteration of resting-state brain networks in the elderly Sebastian Baez Lugo ( [email protected] ) University of Geneva https://orcid.org/0000-0002-7781-2387 Yacila Deza-Araujo University Of Geneva https://orcid.org/0000-0002-2624-077X Fabienne Collette University of Liège https://orcid.org/0000-0001-9288-9756 Patrik Vuilleumier Lab NIC https://orcid.org/0000-0002-8198-9214 Olga Klimecki University of Geneva https://orcid.org/0000-0003-0757-7761 and The Medit-Ageing Research group Research Article Keywords: Ageing, Anxiety, Rumination, Emotional resilience, Default Mode Network, Functional connectivity, Amygdala, Insula, Posterior cingulate cortex, fMRI Posted Date: November 3rd, 2020 DOI: https://doi.org/10.21203/rs.3.rs-91196/v2 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Title: 2 Exposure to negative socio-emotional events induces sustained alteration of 3 resting-state brain networks in the elderly 4 5 6 Authors: 7 Sebastian Baez Lugo1,2,*, Yacila I. Deza-Araujo1,2, Fabienne Collette3, Patrik Vuilleumier1,2, Olga 8 Klimecki1,4, and the Medit-Ageing Research Group 9 10 Affiliations: 11 1 Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland. 12 2 Laboratory for Behavioral Neurology and Imaging of Cognition, Department of Neuroscience, 13 Medical School, University of Geneva, Geneva, Switzerland. 14 3 GIGA-CRC In Vivo Imaging Research Unit, University of Liège, Liège, Belgium. 15 4 Psychology Department, Technische Universität Dresden, Dresden, Germany. 16 17 * Correspondence concerning this article should be addressed to: [email protected] 18 1 19 Abstract: 20 Socio-emotional functions seem well-preserved in the elderly. -
Function of Cerebral Cortex
FUNCTION OF CEREBRAL CORTEX Course: Neuropsychology CC-6 (M.A PSYCHOLOGY SEM II); Unit I By Dr. Priyanka Kumari Assistant Professor Institute of Psychological Research and Service Patna University Contact No.7654991023; E-mail- [email protected] The cerebral cortex—the thin outer covering of the brain-is the part of the brain responsible for our ability to reason, plan, remember, and imagine. Cerebral Cortex accounts for our impressive capacity to process and transform information. The cerebral cortex is only about one-eighth of an inch thick, but it contains billions of neurons, each connected to thousands of others. The predominance of cell bodies gives the cortex a brownish gray colour. Because of its appearance, the cortex is often referred to as gray matter. Beneath the cortex are myelin-sheathed axons connecting the neurons of the cortex with those of other parts of the brain. The large concentrations of myelin make this tissue look whitish and opaque, and hence it is often referred to as white matter. The cortex is divided into two nearly symmetrical halves, the cerebral hemispheres . Thus, many of the structures of the cerebral cortex appear in both the left and right cerebral hemispheres. The two hemispheres appear to be somewhat specialized in the functions they perform. The cerebral hemispheres are folded into many ridges and grooves, which greatly increase their surface area. Each hemisphere is usually described, on the basis of the largest of these grooves or fissures, as being divided into four distinct regions or lobes. The four lobes are: • Frontal, • Parietal, • Occipital, and • Temporal. -
The Link Between Interoceptive Processing and Anxiety in Children Diagnosed with Autism Spectrum Disorder: Extending Adult findings Into a T Developmental Sample ⁎ E.R
Biological Psychology 136 (2018) 13–21 Contents lists available at ScienceDirect Biological Psychology journal homepage: www.elsevier.com/locate/biopsycho The link between interoceptive processing and anxiety in children diagnosed with autism spectrum disorder: Extending adult findings into a T developmental sample ⁎ E.R. Palsera,b, , A. Fotopouloua, E. Pellicanoc,d, J.M. Kilnerb a Psychology and Language Sciences, University College London (UCL), London, UK b Sobell Department of Motor Neuroscience and Movement Neuroscience, Institute of Neurology, UCL, London, UK c Centre for Research in Autism and Education, UCL Institute of Education, UCL, London, UK d School of Psychology, University of Western Australia, Perth, Australia ARTICLE INFO ABSTRACT Keywords: Anxiety is a major associated feature of autism spectrum disorders. The incidence of anxiety symptoms in this Interoception population has been associated with altered interoceptive processing. Here, we investigated whether recent Anxiety findings of impaired interoceptive accuracy (quantified using heartbeat detection tasks) and exaggerated in- Autism spectrum disorders teroceptive sensibility (subjective sensitivity to internal sensations on self-report questionnaires) in autistic Developmental disorders adults, can be extended into a school-age sample of children and adolescents (n = 75). Half the sample had a verified diagnosis of an Autism Spectrum Disorder (ASD) and half were IQ- and age-matched children and adolescents without ASD. The discrepancy between an individual’s score on these two facets of interoception (interoceptive accuracy and interoceptive sensibility), conceptualized as an interoceptive trait prediction error, was previously found to predict anxiety symptoms in autistic adults. We replicated the finding of reduced in- teroceptive accuracy in autistic participants, but did not find exaggerated interoceptive sensibility relative to non-autistic participants. -
Testing the Independence of Self-Reported Interoceptive Accuracy
Running head: The interoceptive accuracy scale Word count: 10102 words (2 tables; 4 Figures) Submission date: 25/01/2019; Revision date 13/05/2019; Revision date 10/07/2019 Testing the independence of self-reported interoceptive accuracy and attention Jennifer Murphy1, Rebecca Brewer2, David Plans3, Sahib S Khalsa4, 5, Caroline Catmur6, Geoffrey Bird1,3 1Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London 2Department of Psychology, Royal Holloway, University of London 3Department of Experimental Psychology, University of Oxford 4Laureate Institute for Brain Research, Tulsa, USA 5Oxley College of Health Sciences, University of Tulsa, Tulsa, USA 6Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London *Corresponding author: [email protected] + 44 (0) 207 848 5410 Social, Genetic and Developmental Psychiatry Centre (MRC) Institute of Psychiatry, Psychology and Neuroscience - PO80 De Crespigny Park, Denmark Hill, London, United Kingdom, SE5 8AF 1 Abstract It has recently been proposed that measures of the perception of the state of one’s own body (‘interoception’) can be categorized as one of several types depending on both how an assessment is obtained (objective measurement vs. self-report) and what is assessed (degree of interoceptive attention vs accuracy of interoceptive perception). Under this model, a distinction is made between beliefs regarding the degree to which interoceptive signals are the object of attention, and beliefs regarding one’s ability to perceive accurately interoceptive signals. This distinction is difficult to test, however, because of the paucity of measures designed to assess self-reported perception of one’s own interoceptive accuracy. -
The Roles of Interoceptive Sensitivity and Metacognitive
Yoris et al. Behavioral and Brain Functions (2015) 11:14 DOI 10.1186/s12993-015-0058-8 SHORT PAPER Open Access The roles of interoceptive sensitivity and metacognitive interoception in panic Adrián Yoris1,3,4, Sol Esteves1, Blas Couto1,2,4, Margherita Melloni1,2,4, Rafael Kichic1,3, Marcelo Cetkovich1,3, Roberto Favaloro1, Jason Moser5, Facundo Manes1,2,4,7, Agustin Ibanez1,2,4,6,7 and Lucas Sedeño1,2,4* Abstract Background: Interoception refers to the ability to sense body signals. Two interoceptive dimensions have been recently proposed: (a) interoceptive sensitivity (IS) –objective accuracy in detecting internal bodily sensations (e.g., heartbeat, breathing)–; and (b) metacognitive interoception (MI) –explicit beliefs and worries about one’s own interoceptive sensitivity and internal sensations. Current models of panic assume a possible influence of interoception on the development of panic attacks. Hypervigilance to body symptoms is one of the most characteristic manifestations of panic disorders. Some explanations propose that patients have abnormal IS, whereas other accounts suggest that misinterpretations or catastrophic beliefs play a pivotal role in the development of their psychopathology. Our goal was to evaluate these theoretical proposals by examining whether patients differed from controls in IS, MI, or both. Twenty-one anxiety disorders patients with panic attacks and 13 healthy controls completed a behavioral measure of IS motor heartbeat detection (HBD) and two questionnaires measuring MI. Findings: Patients did not differ from controls in IS. However, significant differences were found in MI measures. Patients presented increased worries in their beliefs about somatic sensations compared to controls. These results reflect a discrepancy between direct body sensing (IS) and reflexive thoughts about body states (MI). -
Enhancing Human Emotions with Interoceptive Technologies
Available online at www.sciencedirect.com ScienceDirect Physics of Life Reviews 31 (2019) 310–319 www.elsevier.com/locate/plrev Review Enhancing human emotions with interoceptive technologies ∗ F. Schoeller a,b, ,1, A.J.H. Haar a,1, A. Jain a,1, P. Maes a a Fluid Interfaces Group, Media Lab, Massachusetts Institute of Technology, Cambridge, USA b Centre de Recherches Interdisciplinaires, Paris, France Available online 25 October 2019 Communicated by Felix Schoeller Abstract Historically, multiple theories have posited an active, causal role for perceived bodily states in the creation of human emotion. Recent evidence for embodied cognition, i.e. the role of the entire body in cognition, and support for models positing a key role of bodily homeostasis in the creation of consciousness, i.e. active inference, call for the test of causal rather than correlational links be- tween changes in bodily state and changes in affective state. The controlled stimulation of body signals underlying human emotions and the constant feedback loop between actual and expected sensations during interoceptive processing allows for intervention on higher cognitive functioning. Somatosensory interfaces and emotion prosthesis modulating body perception and human emotions through interoceptive illusions offer new experimental and clinical tools for affective neuroscience. Here, we review challenges in the affective and interoceptive neurosciences, in the light of these novel technologies designed to open avenues for applied research and clinical intervention. © 2019 Elsevier B.V. All rights reserved. Keywords: Interoception; Interoceptive illusions; Cognitive augmentation; Aesthetic chills; Emotion prosthesis; Human-computer interfaces 1. Introduction The process of interoception, whereby our nervous system integrates and unifies bodily information, has received extensive attention in recent years. -
1 What Do Measures of Self-Report Interoception
SELF-REPORT INTEROCEPTION 1 What Do Measures of Self-Report Interoception Measure? Insights from A Systematic Review, Latent Factor Analysis, and Network Approach Olivier Desmedt1,2, Alexandre Heeren1,2,3, Olivier Corneille1, & Olivier Luminet1,2 1 Psychological Science Research Institute, UCLouvain, Louvain-la-Neuve, Belgium 2 Fund for Scientific Research – Belgium (FRS-FNRS) 3 Institute of Neuroscience, UCLouvain, Brussels, Belgium Corresponding author: Olivier Desmedt. UCLouvain-IPSY. 10 Place du Cardinal Mercier. B- 1348 Louvain-la-Neuve, Belgium. Email: [email protected] This is a preprint of a manuscript that has not yet been peer-reviewed for publication in a scientific journal. SELF-REPORT INTEROCEPTION 2 Abstract Recent conceptualizations of interoception suggest several facets to this construct, including "interoceptive sensibility” and “self-report interoceptive scales", both of which are assessed with questionnaires. Although these conceptual efforts have helped move the field forward, uncertainty remains regarding whether current measures converge on their measurement of a common construct. To address this question, we first identified -via a systematic review- the most cited questionnaires of interoceptive sensibility. Then, we examined their correlations, their overall factorial structure, and their network structure in a large community sample (n = 1003). The results indicate that these questionnaires tap onto distinct constructs, with low overall convergence and interrelationships between questionnaire items. This observation mitigates the interpretation and replicability of findings in self-report interoception research. We call for a better match between constructs and measures. Keywords: Interoception, interoceptive sensibility, exploratory factor analysis, network analysis. SELF-REPORT INTEROCEPTION 3 What Do Measures of Self-report Interoception Measure? Combining Latent Factor and Network Approaches Interoception is the processing of internal bodily states by the nervous system (Khalsa et al., 2017). -
Cortical and Subcortical Mechanisms for Sound Processing Jennifer Blackwell University of Pennsylvania, [email protected]
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2019 Cortical And Subcortical Mechanisms For Sound Processing Jennifer Blackwell University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Neuroscience and Neurobiology Commons Recommended Citation Blackwell, Jennifer, "Cortical And Subcortical Mechanisms For Sound Processing" (2019). Publicly Accessible Penn Dissertations. 3275. https://repository.upenn.edu/edissertations/3275 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/3275 For more information, please contact [email protected]. Cortical And Subcortical Mechanisms For Sound Processing Abstract The uda itory cortex is essential for encoding complex and behaviorally relevant sounds. Many questions remain concerning whether and how distinct cortical neuronal subtypes shape and encode both simple and complex sound properties. In chapter 2, we tested how neurons in the auditory cortex encode water-like sounds perceived as natural by human listeners, but that we could precisely parametrize. The ts imuli exhibit scale-invariant statistics, specifically temporal modulation within spectral bands scaled with the center frequency of the band. We used chronically implanted tetrodes to record neuronal spiking in rat primary auditory cortex during exposure to our custom stimuli at different rates and cycle-decay constants. We found that, although neurons exhibited selectivity for subsets of stimuli with specific ts atistics, over the population responses were stable. These results contribute to our understanding of how auditory cortex processes natural sound statistics. In chapter 3, we review studies examining the role of different cortical inhibitory interneurons in shaping sound responses in auditory cortex. We identify the findings that support each other and the mechanisms that remain unexplored.