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Cited by 115Psychosomatic Disorders and Their TreatmentsHeart Rate Variability and Autonomic ControlTactile and Sensory Interactions

Attention, in and out: scalp-level and intracranial EEG correlates of interoception and exteroception

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García-Cordero, Indira, Esteves, Sol, Mikulan, Ezequiel P., Hesse, Eugenia, Baglivo, Fabricio H., Silva, Walter, García, María del Carmen, Vaucheret, Esteban +12 more·2017·Frontiers in Neuroscience
DOI 10.3389/fnins.2017.00411PMC PMC5515904
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Abstract

Interoception, the monitoring of visceral signals, is often presumed to engage attentional mechanisms specifically devoted to inner bodily sensing. In fact, most standardized interoceptive tasks require directing attention to internal signals. However, most studies in the field have failed to compare attentional modulations between internally- and externally-driven processes, thus probing blind to the specificity of the former. Here we address this issue through a multidimensional approach combining behavioral measures, analyses of event-related potentials and functional connectivity via high-density electroencephalography, and intracranial recordings. In Study 1, 50 healthy volunteers performed a heartbeat detection task as we recorded modulations of the heartbeat-evoked potential (HEP) in three conditions: exteroception, basal interoception (also termed interoceptive accuracy), and post-feedback interoception (sometimes called interoceptive learning). In Study 2, to evaluate whether key interoceptive areas (posterior insula, inferior frontal gyrus, amygdala, and somatosensory cortex) were differentially modulated by externally- and internally-driven processes, we analyzed human intracranial recordings with depth electrodes in these regions. This unique technique provides a very fine grained spatio-temporal resolution compared to other techniques, such as EEG or fMRI. We found that both interoceptive conditions in Study 1 yielded greater HEP amplitudes than the exteroceptive one. In addition, connectivity analysis showed that post-feedback interoception, relative to basal interoception, involved enhanced long-distance connections linking frontal and posterior regions. Moreover, results from Study 2 showed a differentiation between oscillations during basal interoception (broadband: 35-110 Hz) and exteroception (1-35 Hz) in the insula, the amygdala, the somatosensory cortex, and the inferior frontal gyrus. In sum, this work provides convergent evidence for the specificity and dynamics of attentional mechanisms involved in interoception.

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  • Some recent studies found minor improvements in heartbeat detection in longitudinal interoceptive training practices.

    “Some recent studies have found minor improvements in HBD in longitudinal interoceptive training practices (Bornemann and Singer, 2016; Fischer et al., 2017; Garcia-Cordero et al., 2017).”

    From Mindfulness, Interoception, and the Body: A Contemporary Perspective (2019) · cites this paper as Garcia-Cordero et al., 2017

    The Results (Study 1, HBD task; page unavailable) report improved heartbeat-detection accuracy after feedback, from 0.47 at baseline to 0.58. But the Methods (HBD task; page unavailable) describe a single two-minute feedback block followed by an immediate test, not a longitudinal training practice. (LLM, conf=0.90)

    Experimental — accuracy not yet measured

  • When participants focused on exteroceptive stimuli, not interoceptive sensations, their heartbeat detection performance improved.

    “Interestingly, Garcia-Cordero et al. (2017) conducted another study investigating heartbeat accuracy and found that when participants focused on exteroceptive stimuli, not interoceptive sensations, their performance improved.”

    From Mindfulness, Interoception, and the Body: A Contemporary Perspective (2019) · cites this paper as Garcia-Cordero et al., 2017

  • To improve interoception relies on attention and perception of internal stimuli.

    “It is generally believed that to improve interoception relies on attention and perception of internal stimuli (Mehling et al., 2012; Bornemann et al., 2015; Garcia-Cordero et al., 2017).”

    From Mindfulness, Interoception, and the Body: A Contemporary Perspective (2019) · cites this paper as Garcia-Cordero et al., 2017

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Authors
García-Cordero, I., Esteves, S., Mikulan, E. P., Hesse, E., Baglivo, F. H., Silva, W., García, M. D. C., Vaucheret, E., Ciraolo, C., García, H. S., Adolfi, F., Pietto, M., Herrera, E., Legaz, A., Manes, F., García, A. M., Sigman, M., Bekinschtein, T. A., Ibáñez, A., & Sedeño, L.
Affiliations
  • Favaloro University (AR)
  • Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
  • Hospital Italiano de Buenos Aires (AR)
  • Australian Research Council (AU)
Corresponding author
Sedeño, Lucas
ORCID
Venue
Frontiers in Neuroscience
Publisher
Frontiers Media SA
Published
2017-07-19
Volume
11
Pages
411-411
ISSN
1662-453X (ISSN-L)
DOI
10.3389/fnins.2017.00411
PMC
PMC5515904
OpenAlex
W2738610633
Cited by
115
References
22
Citations by year
2026: 11 · 2025: 19 · 2024: 15 · 2023: 12 · 2022: 13 · 2021: 22 · 2020: 12 · 2019: 5 · 2018: 6
FWCI
5.17
Type
journal article
Language
en
Open access
Licence
cc-by
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  • Frontiers in Neuroscience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
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  • Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
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  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-sa)
  • Greater South Information System
Funders
  • Fondo Nacional de Desarrollo Científico y Tecnológico (1130920, 1140114)
  • Consejo Nacional de Investigaciones Científicas y Técnicas
  • Fondo para la Investigación Científica y Tecnológica (2012-0412, 2012-1309)
  • Comisión Nacional de Investigación Científica y Tecnológica (15150012)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
Keywords
interoception, exteroception, attention, heartbeat detection, heartbeat-evoked potentials, interoceptive accuracy, posterior insula, amygdala, somatosensory cortex, inferior frontal gyrus, functional connectivity, neural oscillations, intracranial recordings, depth electrodes

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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