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Migeot J, Hesse E, Fittipaldi S, Mejía J, Fraile M, García AM, García MDC, Ortega R, Lawlor B, Lopez V, Ibáñez A. Allostatic-interoceptive anticipation of social rejection. Neuroimage 2023; 276:120200. [PMID: 37245560 PMCID: PMC11163516 DOI: 10.1016/j.neuroimage.2023.120200] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/11/2023] [Accepted: 05/26/2023] [Indexed: 05/30/2023] Open
Abstract
Anticipating social stress evokes strong reactions in the organism, including interoceptive modulations. However, evidence for this claim comes from behavioral studies, often with inconsistent results, and relates almost solely to the reactive and recovery phase of social stress exposure. Here, we adopted an allostatic-interoceptive predictive coding framework to study interoceptive and exteroceptive anticipatory brain responses using a social rejection task. We analyzed the heart-evoked potential (HEP) and task-related oscillatory activity of 58 adolescents via scalp EEG, and 385 human intracranial recordings of three patients with intractable epilepsy. We found that anticipatory interoceptive signals increased in the face of unexpected social outcomes, reflected in larger negative HEP modulations. Such signals emerged from key brain allostatic-interoceptive network hubs, as shown by intracranial recordings. Exteroceptive signals were characterized by early activity between 1-15 Hz across conditions, and modulated by the probabilistic anticipation of reward-related outcomes, observed over distributed brain regions. Our findings suggest that the anticipation of a social outcome is characterized by allostatic-interoceptive modulations that prepare the organism for possible rejection. These results inform our understanding of interoceptive processing and constrain neurobiological models of social stress.
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Affiliation(s)
- Joaquín Migeot
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibanez, Santiago, Chile
| | - Eugenia Hesse
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Departamento de Matemática y Ciencias, Universidad de San Andrés, Buenos Aires, Argentina
| | - Sol Fittipaldi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina; Global Brain Health Institute, University of California, San Francisco, United States and Trinity College Dublin, Ireland
| | - Jhonny Mejía
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Matías Fraile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina
| | - Adolfo M García
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina; Global Brain Health Institute, University of California, San Francisco, United States and Trinity College Dublin, Ireland; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | | | - Rodrigo Ortega
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Brian Lawlor
- Global Brain Health Institute, University of California, San Francisco, United States and Trinity College Dublin, Ireland
| | - Vladimir Lopez
- Escuela de Psicología, Facultad de Ciencias Sociales y Centro Interdisciplinario de Neurociencias, Pontificia Universidad Católica de Chile, Santiago, Chile.
| | - Agustín Ibáñez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Global Brain Health Institute, University of California, San Francisco, United States and Trinity College Dublin, Ireland; Predictive Brain Health Modelling Group, Trinity College Dublin (TCD), Dublin, Ireland.
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Weisz N, Keil A. Introduction to the special issue of human oscillatory brain activity: Methods, models, and mechanisms. Psychophysiology 2022; 59:e14038. [DOI: 10.1111/psyp.14038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 02/17/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Nathan Weisz
- Department of Psychology University of Salzburg Salzburg Austria
- Neuroscience Institute Christian Doppler University Hospital, Paracelsus Medical University Salzburg Austria
| | - Andreas Keil
- Department of Psychology, Center for the Study of Emotion and Attention University of Florida Gainesville Florida USA
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