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Candia-Rivera D, Engelen T, Babo-Rebelo M, Salamone PC. Interoception, network physiology and the emergence of bodily self-awareness. Neurosci Biobehav Rev 2024; 165:105864. [PMID: 39208877 DOI: 10.1016/j.neubiorev.2024.105864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 08/06/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024]
Abstract
The interplay between the brain and interoceptive signals is key in maintaining internal balance and orchestrating neural dynamics, encompassing influences on perceptual and self-awareness. Central to this interplay is the differentiation between the external world, others and the self, a cornerstone in the construction of bodily self-awareness. This review synthesizes physiological and behavioral evidence illustrating how interoceptive signals can mediate or influence bodily self-awareness, by encompassing interactions with various sensory modalities. To deepen our understanding of the basis of bodily self-awareness, we propose a network physiology perspective. This approach explores complex neural computations across multiple nodes, shifting the focus from localized areas to large-scale neural networks. It examines how these networks operate in parallel with and adapt to changes in visceral activities. Within this framework, we propose to investigate physiological factors that disrupt bodily self-awareness, emphasizing the impact of interoceptive pathway disruptions, offering insights across several clinical contexts. This integrative perspective not only can enhance the accuracy of mental health assessments but also paves the way for targeted interventions.
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Affiliation(s)
- Diego Candia-Rivera
- Sorbonne Université, Paris Brain Institute (ICM), CNRS UMR7225, INSERM U1127, Hôpital de la Pitié-Salpêtrière AP-HP, Inria Paris, 75013, Paris, France.
| | - Tahnée Engelen
- Department of Psychology and Centre for Interdisciplinary Brain Research, University of Jyväskylä, Mattilanniemi 6, Jyväskylä FI-40014, Finland
| | - Mariana Babo-Rebelo
- Laboratory of Cognitive Neuroscience, Neuro-X Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Geneva, Switzerland
| | - Paula C Salamone
- Department of Biomedical and Clinical Sciences, Center for Social and Affective Neuroscience, Linköping University, Linköping, Sweden
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Fu J, Hsiao CA. Decoding intelligence via symmetry and asymmetry. Sci Rep 2024; 14:12525. [PMID: 38822016 PMCID: PMC11143306 DOI: 10.1038/s41598-024-62906-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 05/22/2024] [Indexed: 06/02/2024] Open
Abstract
Humans use pictures to model the world. The structure of a picture maps to mind space to form a concept. When an internal structure matches the corresponding external structure, an observation functions. Whether effective or not, the observation is self-consistent. In epistemology, people often differ from each other in terms of whether a concept is probabilistic or certain. Based on the effect of the presented IG and pull anti algorithm, we attempt to provide a comprehensive answer to this problem. Using the characters of hidden structures, we explain the difference between the macro and micro levels and the same difference between semantics and probability. In addition, the importance of attention is highlighted through the combination of symmetry and asymmetry included and the mechanism of chaos and collapse revealed in the presented model. Because the subject is involved in the expression of the object, representationalism is not complete. However, people undoubtedly reach a consensus based on the objectivity of the representation. Finally, we suggest that emotions could be used to regulate cognition.
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Affiliation(s)
- Jianjing Fu
- College of Media Engineering, Communication University of Zhejiang, Hangzhou, China
| | - Ching-An Hsiao
- Fintech Engineering Technology Research Center, Guangdong University of Finance, Guangzhou, China.
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Zaccaro A, della Penna F, Mussini E, Parrotta E, Perrucci MG, Costantini M, Ferri F. Attention to cardiac sensations enhances the heartbeat-evoked potential during exhalation. iScience 2024; 27:109586. [PMID: 38623333 PMCID: PMC11016802 DOI: 10.1016/j.isci.2024.109586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 03/07/2024] [Accepted: 03/25/2024] [Indexed: 04/17/2024] Open
Abstract
Respiration and cardiac activity intricately interact through complex physiological mechanisms. The heartbeat-evoked potential (HEP) is an EEG fluctuation reflecting the cortical processing of cardiac signals. We recently found higher HEP amplitude during exhalation than inhalation during a task involving attention to cardiac sensations. This may have been due to reduced cardiac perception during inhalation and heightened perception during exhalation through attentional mechanisms. To investigate relationships between HEP, attention, and respiration, we introduced an experimental setup that included tasks related to cardiac and respiratory interoceptive and exteroceptive attention. Results revealed HEP amplitude increases during the interoceptive tasks over fronto-central electrodes. When respiratory phases were taken into account, HEP increases were primarily driven by heartbeats recorded during exhalation, specifically during the cardiac interoceptive task, while inhalation had minimal impact. These findings emphasize the role of respiration in cardiac interoceptive attention and could have implications for respiratory interventions to fine-tune cardiac interoception.
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Affiliation(s)
- Andrea Zaccaro
- Department of Psychological, Health and Territorial Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Francesca della Penna
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Elena Mussini
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Eleonora Parrotta
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Mauro Gianni Perrucci
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
- Institute for Advanced Biomedical Technologies, ITAB, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Marcello Costantini
- Department of Psychological, Health and Territorial Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
- Institute for Advanced Biomedical Technologies, ITAB, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
| | - Francesca Ferri
- Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
- Institute for Advanced Biomedical Technologies, ITAB, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy
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