A multidimensional and multi-feature framework for cardiac interoception
Interoception (the sensing of inner-body signals) is a multi-faceted construct with major relevance for basic and clinical neuroscience research. However, the neurocognitive signatures of this domain (cutting across behavioral, electrophysiological, and fMRI connectivity levels) are rarely reported...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-05-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920301646 |
| _version_ | 1818466673161666560 |
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| author | Sol Fittipaldi Sofía Abrevaya Alethia de la Fuente Guido Orlando Pascariello Eugenia Hesse Agustina Birba Paula Salamone Malin Hildebrandt Sofía Alarco Martí Ricardo Marcos Pautassi David Huepe Miquel Martorell Martorell Adrián Yoris María Roca Adolfo M. García Lucas Sedeño Agustín Ibáñez |
| author_facet | Sol Fittipaldi Sofía Abrevaya Alethia de la Fuente Guido Orlando Pascariello Eugenia Hesse Agustina Birba Paula Salamone Malin Hildebrandt Sofía Alarco Martí Ricardo Marcos Pautassi David Huepe Miquel Martorell Martorell Adrián Yoris María Roca Adolfo M. García Lucas Sedeño Agustín Ibáñez |
| author_sort | Sol Fittipaldi |
| collection | DOAJ |
| description | Interoception (the sensing of inner-body signals) is a multi-faceted construct with major relevance for basic and clinical neuroscience research. However, the neurocognitive signatures of this domain (cutting across behavioral, electrophysiological, and fMRI connectivity levels) are rarely reported in convergent or systematic fashion. Additionally, various controversies in the field might reflect the caveats of standard interoceptive accuracy (IA) indexes, mainly based on heartbeat detection (HBD) tasks. Here we profit from a novel IA index (md) to provide a convergent multidimensional and multi-feature approach to cardiac interoception. We found that outcomes from our IA-md index are associated with –and predicted by– canonical markers of interoception, including the hd-EEG-derived heart-evoked potential (HEP), fMRI functional connectivity within interoceptive hubs (insular, somatosensory, and frontal networks), and socio-emotional skills. Importantly, these associations proved more robust than those involving current IA indexes. Furthermore, this pattern of results persisted when taking into consideration confounding variables (gender, age, years of education, and executive functioning). This work has relevant theoretical and clinical implications concerning the characterization of cardiac interoception and its assessment in heterogeneous samples, such as those composed of neuropsychiatric patients. |
| first_indexed | 2024-04-13T20:59:58Z |
| format | Article |
| id | doaj.art-782065dc366e42a2b187a82337e34c97 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-13T20:59:58Z |
| publishDate | 2020-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-782065dc366e42a2b187a82337e34c972022-12-22T02:30:10ZengElsevierNeuroImage1095-95722020-05-01212116677A multidimensional and multi-feature framework for cardiac interoceptionSol Fittipaldi0Sofía Abrevaya1Alethia de la Fuente2Guido Orlando Pascariello3Eugenia Hesse4Agustina Birba5Paula Salamone6Malin Hildebrandt7Sofía Alarco Martí8Ricardo Marcos Pautassi9David Huepe10Miquel Martorell Martorell11Adrián Yoris12María Roca13Adolfo M. García14Lucas Sedeño15Agustín Ibáñez16Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), ArgentinaLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), ArgentinaNational Scientific and Technical Research Council (CONICET), Argentina; Buenos Aires Physics Institute (IFIBA) and Physics Department, University of Buenos Aires, Buenos Aires, Argentina; Laboratory of Neuropsychology (LNPS), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, ArgentinaNational Scientific and Technical Research Council (CONICET), Argentina; Multimedia Signal Processing Group - Neuroimage Division, French-Argentine International Center for Information and Systems Sciences (CIFASIS), National Scientific and Technical Research Council (CONICET), Argentina; Laboratory of Neuroimaging and Neuroscience (LANEN), INECO Foundation Rosario, ArgentinaLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina; Departamento de Matemática y Ciencias, Universidad de San Andrés, Buenos Aires, ArgentinaLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), ArgentinaLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), ArgentinaChair for Addiction Research, Institute for Clinical Psychology and Psychotherapy, Dresden, GermanyLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, ArgentinaFacultad de Psicología, Universidad Nacional de Córdoba, Córdoba, Argentina; Instituto de Investigación Médica M. y M. Ferreyra, INIMEC-CONICET-UNC, Córdoba, ArgentinaCenter for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago, ChileLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), ArgentinaLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), ArgentinaNational Scientific and Technical Research Council (CONICET), Argentina; Laboratory of Neuropsychology (LNPS), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, ArgentinaLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina; Faculty of Education, National University of Cuyo (UNCuyo), Mendoza, ArgentinaLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), ArgentinaLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCYT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Argentina; Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile; Universidad Autónoma Del Caribe, Barranquilla, Colombia; ARC Excellence Center of Cognition and its Disorders, Sydney, Australia; Corresponding author. Institute of Cognitive and Translational Neuroscience, CONICET, Pacheco de Melo, 1860, C1126AAB, Buenos Aires, Argentina.Interoception (the sensing of inner-body signals) is a multi-faceted construct with major relevance for basic and clinical neuroscience research. However, the neurocognitive signatures of this domain (cutting across behavioral, electrophysiological, and fMRI connectivity levels) are rarely reported in convergent or systematic fashion. Additionally, various controversies in the field might reflect the caveats of standard interoceptive accuracy (IA) indexes, mainly based on heartbeat detection (HBD) tasks. Here we profit from a novel IA index (md) to provide a convergent multidimensional and multi-feature approach to cardiac interoception. We found that outcomes from our IA-md index are associated with –and predicted by– canonical markers of interoception, including the hd-EEG-derived heart-evoked potential (HEP), fMRI functional connectivity within interoceptive hubs (insular, somatosensory, and frontal networks), and socio-emotional skills. Importantly, these associations proved more robust than those involving current IA indexes. Furthermore, this pattern of results persisted when taking into consideration confounding variables (gender, age, years of education, and executive functioning). This work has relevant theoretical and clinical implications concerning the characterization of cardiac interoception and its assessment in heterogeneous samples, such as those composed of neuropsychiatric patients.http://www.sciencedirect.com/science/article/pii/S1053811920301646InteroceptionHeartbeat detection taskCardiac frequencyHeart-evoked potentialFunctional connectivityEmotion |
| spellingShingle | Sol Fittipaldi Sofía Abrevaya Alethia de la Fuente Guido Orlando Pascariello Eugenia Hesse Agustina Birba Paula Salamone Malin Hildebrandt Sofía Alarco Martí Ricardo Marcos Pautassi David Huepe Miquel Martorell Martorell Adrián Yoris María Roca Adolfo M. García Lucas Sedeño Agustín Ibáñez A multidimensional and multi-feature framework for cardiac interoception NeuroImage Interoception Heartbeat detection task Cardiac frequency Heart-evoked potential Functional connectivity Emotion |
| title | A multidimensional and multi-feature framework for cardiac interoception |
| title_full | A multidimensional and multi-feature framework for cardiac interoception |
| title_fullStr | A multidimensional and multi-feature framework for cardiac interoception |
| title_full_unstemmed | A multidimensional and multi-feature framework for cardiac interoception |
| title_short | A multidimensional and multi-feature framework for cardiac interoception |
| title_sort | multidimensional and multi feature framework for cardiac interoception |
| topic | Interoception Heartbeat detection task Cardiac frequency Heart-evoked potential Functional connectivity Emotion |
| url | http://www.sciencedirect.com/science/article/pii/S1053811920301646 |
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