Cited by 285Psychosomatic Disorders and Their TreatmentsEmbodied and Extended CognitionHeart Rate Variability and Autonomic Control

‘Bodily precision’: A predictive coding account of individual differences in interoceptive accuracy

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Ainley, Vivien, Apps, Matthew A. J., Fotopoulou, Aikaterini, Tsakiris, Manos·2016·Philosophical Transactions of the Royal Society B: Biological Sciences

Abstract

Individuals differ in their awareness of afferent information from within their bodies, which is typically assessed by a heartbeat perception measure of ‘interoceptive accuracy’ (IAcc). Neural and behavioural correlates of this trait have been investigated, but a theoretical explanation has yet to be presented. Building on recent models that describe interoception within the free energy/predictive coding framework, this paper applies similar principles to IAcc, proposing that individual differences in IAcc depend on ‘precision’ in interoceptive systems, i.e. the relative weight accorded to ‘prior’ representations and ‘prediction errors’ (that part of incoming interoceptive sensation not accounted for by priors), at various levels within the cortical hierarchy and between modalities. Attention has the effect of optimizing precision both within and between sensory modalities. Our central assumption is that people with high IAcc are able, with attention, to prioritize interoception over other sensory modalities and can thus adjust the relative precision of their interoceptive priors and prediction errors, where appropriate, given their personal history. This characterization explains key findings within the interoception literature; links results previously seen as unrelated or contradictory; and may have important implications for understanding cognitive, behavioural and psychopathological consequences of both high and low interoceptive awareness. This article is part of the themed issue ‘Interoception beyond homeostasis: affect, cognition and mental health’.

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Crossref · 10.1098/rstb.2016.0003

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  • Central signalling of inflammation engages established interoceptive pathways to insula, but can also engage a distinct subcortical response that might better predict development of affective psychopathology.

    “Interestingly, central signalling of inflammation engages established interoceptive pathways to insula, but can also engage a distinct subcortical response that might better predict development of affective psychopathology [34].”

    From Interoception and emotion. (2017) · cites this paper as [34]

    The Introduction (page unavailable) describes the anterior insula as part of an interoceptive pathway. It does not establish that inflammatory signalling engages that pathway, or describe a distinct subcortical response that predicts affective psychopathology; searches for inflammation and subcortical responses found no such passage. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Interoceptive mechanisms influence adaptive and maladaptive motivational decisions and have implications for preventing and managing clinical disorders.

    “Detailed understanding of these mechanisms is important given their influence on adaptive [16] and maladaptive [51 ] motivational decisions and their implications for preventing and managing clinical disorders [19 ,20 ,21 ,34,41, 42,46,50 ].”

    From Interoception and emotion. (2017) · cites this paper as [34]

    The ‘Neuroeconomic decision-making and motivation’ section links interoceptive accuracy to risk and effort choices. Section 6, ‘Interoceptive accuracy in clinical disorders,’ discusses a possible role in disorders’ aetiology and remediation. The paper does not explicitly distinguish adaptive from maladaptive motivational decisions or address prevention of clinical disorders. (LLM, conf=0.83)

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  • Predictive coding models of interoception have explanatory power for observations on emotion, extending to self-representation, and for structural and functional organizational features of the brain, notably insular cortex and its relationship to visceromotor centres.

    “Predictive coding models of interoception have explanatory power, both for observations on emotion, extending to self-representation and, interestingly, in accounting for both structural and functional organizational features of the brain, notably insular cortex and its relationship to visceromotor centres [3,48,39,49,43,44,45 ,46,50 ].”

    From Interoception and emotion. (2017) · cites this paper as [48]

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  • Prior preferences about essential variables encode probability distributions over states, and their sufficient statistics are free to vary and can be toggled according to context.

    “Prior preferences about essential variables encode probability distributions over states (rather than a single ideal setpoint), and the sufficient statistics that specify this setpoint (mean and precision) are free to vary and can be toggled according to the context (Ainley et al. 2016).”

    From Consciousness in active inference: Deep self-models, other minds, and the challenge of psychedelic-induced ego-dissolution (2021) · cites this paper as Ainley et al. 2016

    Section 2 represents priors as probabilistic beliefs specified by expectations and precisions, and says their weighting takes context into account. Section 3 says attention continually fine-tunes prior precision, while Section 2 gives body temperature as an example of an updated prior. The paper does not explicitly frame these priors as preferences about essential variables or contrast them with a single ideal setpoint. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Predictions of the future are continually generated within the brain based on previous life experiences, as an array of parallel predictive simulations that come with a certain probability.

    “First, predictions of the future are continually generated within the brain: based on previous life experiences, an array of parallel predictive simulations are computed that all come with a certain probability. 96,[101][102]2][103][104][105][106][107][108][109][110][111][112]”

    From A new science of emotion: implications for functional neurological disorder (2022) · cites this paper as [104]

    The Introduction (page not provided) describes probabilistic predictions in the brain’s generative models, informed by sensory evidence. Section 2 (page not provided) says predictions and their precision are updated. The paper does not describe an array of parallel simulations of possible futures based on previous life experiences. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

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  1. [2]2. A ´da ´m G. 2010 Visceral perception. New York, NY: Plenum Press.

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Authors
Ainley, V., Apps, M. A. J., Fotopoulou, A., & Tsakiris, M.
Affiliations
  • Royal Holloway University of London (GB)
  • University of Oxford (GB)
  • University College London (GB)
  • Laboratory of Action and Body, Department of Psychology, Royal Holloway, University of London, Egham TW20 0EX, UK
Corresponding author
Ainley, Vivien
Venue
Philosophical Transactions of the Royal Society B: Biological Sciences
Published
2016-11-19
Volume
371
Issue
1708
Pages
20160003
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W2531760904
Cited by
285
References
72
Citations by year
2026: 38 · 2025: 34 · 2024: 42 · 2023: 37 · 2022: 24 · 2021: 39 · 2020: 22 · 2019: 13 · 2018: 18 · 2017: 14 · 2016: 4
FWCI
14.51
Type
journal article
Language
en
Open access
Locations
  • Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
Funders
  • European Research Council (ERC-2010-StG-262853, ERC-2012-STG GA313755)
  • Biotechnology and Biological Sciences Research Council (BB/M013596/1)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Keywords
interoceptive accuracy, interoception, predictive coding, free energy principle, prediction error, attention, individual differences, heartbeat perception, cortical hierarchy
MeSH terms
Awareness, Humans, Individuality, Models, Neurological, Interoception

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