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Interoceptive technologies for psychiatric interventions: From diagnosis to clinical applications
Open accessAbstract
Interoception-the perception of internal bodily signals-has emerged as an area of interest due to its implications in emotion and the prevalence of dysfunctional interoceptive processes across psychopathological conditions. Despite the importance of interoception in cognitive neuroscience and psychiatry, its experimental manipulation remains technically challenging. This is due to the invasive nature of existing methods, the limitation of self-report and unimodal measures of interoception, and the absence of standardized approaches across disparate fields. This article integrates diverse research efforts from psychology, physiology, psychiatry, and engineering to address this oversight. Following a general introduction to the neurophysiology of interoception as hierarchical predictive processing, we review the existing paradigms for manipulating interoception (e.g., interoceptive modulation), their underlying mechanisms (e.g., interoceptive conditioning), and clinical applications (e.g., interoceptive exposure). We suggest a classification for interoceptive technologies and discuss their potential for diagnosing and treating mental health disorders. Despite promising results, considerable work is still needed to develop standardized, validated measures of interoceptive function across domains and before these technologies can translate safely and effectively to clinical settings.
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“Interoceptive exposure therapy, involving systematic exposure to distressing bodily sensations (e.g., chemoreceptive CO2 tasks, respiratory or cardiovascular disruptions), has demonstrated efficacy in reducing anxiety symptoms and increasing tolerance of interoceptive signals [62].”
From Neural correlates of altered interoception in depressive and anxiety disorders: a systematic review and meta-analysis (2026) · cites this paper as [62]
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- Heldestad, 2010, Reproducibility and influence of test modality order on thermal perception and thermal pain thresholds in quantitative sensory testing, Clin. Neurophysiol., 121, 1878, 10.1016/j.clinph.2010.03.055 · DOI
- Opdensteinen, K. et al., Pain, in press for publication.
Cited by
Sorted by citations
Metaverse in Mental Health: The Beginning of a Long History
Cerasa, A., Gaggioli, A., Pioggia, G., & Riva, G. (2024) · Current Psychiatry Reports · doi:10.1007/s11920-024-01501-8 · Cited by 41
Self-citationLevin, M. (2025) · BioEssays · doi:10.1002/bies.202400196 · Cited by 34
There is no such thing as interoception
Schoeller, F., Zhang, B., Garcia, T., & Reggente, N. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1488415 · Cited by 24
Self-citationCommon threads: Altered interoceptive processes across affective and anxiety disorders
Saltafossi, M., Heck, D. H., Kluger, D. S., & Varga, S. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.09.135 · Cited by 21
Enhancing Agency in Posttraumatic Stress Disorder Therapies Through Sensorimotor Technologies
Adrien, V., Bosc, N., Peccia-Galletto, C., Diot, T., Claverie, D., Reggente, N., Trousselard, M., Bui, É., Baubet, T., & Schoeller, F. (2024) · Journal of Medical Internet Research · doi:10.2196/58390 · Cited by 15
Self-citation
Metadata
- Authors
- Schoeller, F., Horowitz, A. H., Jain, A., Maes, P., Reggente, N., Christov-Moore, L., Pezzulo, G., Barca, L., Allen, M., Salomon, R., Miller, M., Di Lernia, D., Riva, G., Tsakiris, M., Chalah, M. A., Klein, A., Zhang, B., Garcia, T., Pollack, U., Trousselard, M., Verdonk, C., Dumas, G., Adrien, V., & Friston, K.
- Affiliations
- Beth Israel Deaconess Medical Center (US)
- MIT Media Lab (US)
- National Research Council (IT)
- Aarhus University (DK)
- University of Haifa (IL)
- Hokkaido University (JP)
- Università Cattolica del Sacro Cuore (IT)
- Université Paris-Est Créteil (FR)
- Child Mind Institute (US)
- Université de Montréal (CA)
- Sorbonne Université (FR)
- UCL Queen Square Institute of Neurology (GB)
- ORCID
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 156
- Pages
- 105478
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W4388948727
- Cited by
- 42
- References
- 223
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 21
- FWCI
- 1.92
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- IRIS eCampus Telematic University (Università degli Studi eCampus) (submittedVersion)
- Scopus (Elsevier) (submittedVersion, other-oa)
- Funders
- Canadian Institute for Advanced Research
- European Commission (HORIZON2020, 945539)
- Lundbeckfonden (R272‐2017‐4345)
- Horizon 2020 Framework Programme (ERC-2016-COG, R272-2017-4345, #945539, 820213)
- Natural Sciences and Engineering Research Council of Canada (dgecr-2023-00089)
- H2020 European Research Council (820213, 948788, 724537)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- interoception, interoceptive conditioning, interoceptive exposure, predictive processing, mental illness, psychiatric diagnosis, emotion regulation
- MeSH terms
- Cognitive Neuroscience, Awareness, Mental Disorders, Emotions, Heart Rate, Humans, Self Report, Interoception
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.
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