Debate at a glance
- Summary: Is there one interoceptive sense — a person-level ability that expresses itself in the heart, the lungs, the gut and the bladder alike — or is there only a collection of channel-specific abilities that share a name? Nearly every claim in this wiki was measured in one channel (usually cardiac) and stated about interoception. If the abilities do not correlate across organs, that inference is invalid, and ‘interoceptive accuracy’ has no person-level referent. Banellis et al. (2026), the best-powered test with matched psychophysical instruments, finds cardiac and respiratory sensitivity, precision and metacognitive efficiency uncorrelated — while finding confidence strongly correlated across all three modalities including an exteroceptive one. The live question is no longer whether a single interoceptive ability has been demonstrated (it has not) but whether it exists and is masked at rest, and what the domain-general confidence signal actually is. Wilzok et al. (2023) add the page’s only positive cross-modal correlation (r = 0.57, respiroception vs nociception) — obtained under aversive perturbation, and on a self-report difference score rather than a psychophysical measure, which sharpens the emerging pattern that self-report quantities travel across channels while perceptual ones do not.
- Status: open
Positions in the field
- Micah Allen & Leah Banellis: Modality-specific, and the burden has shifted. In 241 participants with matched Bayesian psychophysics across cardiac (HRDT) and respiratory (RRST) axes, no cross-domain correlation survives in sensitivity, precision, or metacognitive efficiency, with moderate Bayesian evidence for the null (BF01 5.0–6.4) at power sufficient to detect r ≥ 0.179. The one convergence is metacognitive bias — mean confidence — which correlates as strongly with an auditory task as with the other interoceptive one, so it is a fact about the person’s confidence, not about their body. Their reading: interoceptive processes are largely organ-specific, subjective confidence is domain-general, and the field needs good instruments per channel rather than a better general one. They leave the arousal escape open explicitly. (Banellis et al. (2026), Nikolova et al. (2022) The respiratory resistance sensitivity task, Biol Psychol 170:108325, Legrand et al. (2022) The heart rate discrimination task, Biol Psychol 168:108239)
- Sarah N. Garfinkel & Hugo D. Critchley: Partial generality, at the metacognitive level — and the position they are best known for is the one that failed to replicate. Garfinkel et al. (2016), Interoceptive dimensions across cardiac and respiratory axes, reported moderate cross-modal correlation in metacognitive insight (r ≈ 0.36) alongside unrelated first-order performance — the finding that licensed treating interoceptive awareness as a general capacity even if accuracy was channel-bound. Banellis et al. replicate the confidence half and not the insight half, at four times the sample size. Note also that this group flags the generality problem itself from the other direction: in Quadt et al. (2018) they write that the heartbeat task’s relationship to respiratory and gastric axes is ‘scarce and inconsistent’ and add an IPP reason for expecting divergence — modalities may be precision-weighted differently, so a channel can be perceptually intact and simply matter less. That is a mechanism for organ-specificity, offered by a group whose framework is usually read as domain-general. (Garfinkel et al. (2016) Interoceptive dimensions across cardiac and respiratory axes, Phil Trans R Soc B 371:20160014, Quadt et al. (2018), Garfinkel et al. (2015) Knowing your own heart, Biol Psychol 104:65-74)
- Beate Herbert & Olga Pollatos (the coherence tradition): A unitary interoceptive sense, argued from cardiac–gastric convergence. Cardiac accuracy on the counting task has been linked to gastric detection sensitivity (Herbert, Muth, Pollatos & Herbert 2012), to self-control of gastric motility (Whitehead & Drescher 1980), and to reduced water intake before satiation (van Dyck et al. 2016). This is the literature that put ‘the interoceptive sense’ into circulation as a single thing. Its weakness is arithmetic: the studies run N ≈ 20–49 (van Dyck’s 99 excepted), which is below where correlations stabilize (Schönbrodt & Perugini 2013), and they are built on the counting task whose validity is separately contested — see Is the heartbeat-counting task a valid measure of cardiac perception?. The wiki holds this position at one remove; none of these papers are in
raw/. The one first-hand test of the cardiac–gastric link the wiki holds, Ferentzi et al. (2018) with N = 118, found it slightly negative (heartbeat counting loaded −.33 on the gastric factor), though with a fixed-volume rather than drink-to-fullness gastric measure. (Herbert, Muth, Pollatos & Herbert (2012) Interoception across modalities, PLoS ONE 7:e36646, Whitehead & Drescher (1980) Perception of gastric contractions, Psychophysiology 17:552-558, van Dyck et al. (2016) The Water Load Test, PLoS ONE 11)- Eszter Ferentzi and the multichannel sceptics: Sensitivity is not a generalizable feature — the earlier and broader null. Ferentzi et al. (2018) tested cardiac sensitivity against gastric, proprioceptive, nociceptive, balance and taste measures in 118 participants and found no general factor, while pairs of measures within a channel correlated strongly (taste .80, pain .51, gastric .48), which answers the unreliable-instrument objection for those channels. Most of its non-cardiac measures were intensity ratings rather than accuracy scores, so it is breadth without matched instruments; Crucianelli, Enmalm & Ehrsson (2022) found cardioception independent of thermosensation, nociception and Affective touch (C-tactile afferents). Two independent groups, several channels, one conclusion — and crucially neither included respiration, which is the gap Banellis et al. fill. The convergence across three labs, three channel sets and three instrument families is the strongest thing this side of the debate has, and it is stronger than any single study in it. (Ferentzi et al. (2018), Crucianelli, Enmalm & Ehrsson (2022) Interoception as independent cardiac, thermosensory, nociceptive, and affective touch perceptual submodalities, Biol Psychol 172:108355)
- Olivier Desmedt, Luminet, Maurage & Corneille: Not a new dataset but the field’s synthesiser of the non-convergence case, with the statistical argument the other sceptics lack. Desmedt et al. (2023) gather the cross-channel nulls (Ferentzi et al. 2018) and add the within-channel one — the HCT and HDT share 4.4% of variance across 22 studies (Hickman et al. 2020) — and draw the consequence formally: because measures presumed to assess ‘interoceptive accuracy’ correlate weakly, transferring a conclusion from one to another (or to the broad construct) is statistically unlicensed. Carlson & Herdman (2012): with measures correlating r = 0.30 and one correlating r = 0.30 with an outcome, the other’s correlation with that outcome ranges −0.95 to 0.95 — so cross-measure inconsistency is expected, not a crisis. Their reading: ‘interoceptive accuracy’ has no general referent until convergence is shown, and the fix is narrow measure-tied constructs in a specificity hierarchy, not a better general instrument. The synthesiser position rather than a primary null, but the one that states why the nulls matter. (Desmedt et al. (2023), Hickman et al. (2020) meta-analysis of HCT vs HDT convergence, Carlson & Herdman (2012) Understanding the impact of convergent validity on research results, Organ Res Methods 15:17-32)
- Yusuke Haruki & Kenji Ogawa: Organ-specific at the level of neural substrate, shown within subjects. Everyone else on this page argues from correlations between people. Haruki & Ogawa (2023) put cardiac and gastric attention through one paradigm in one session in 31 people and compared the brain events directly. Against a shared exteroceptive control the two channels produce the same map; against each other they dissociate — the right dorsal anterior insula is the only region preferring cardiac, gastric attention recruits visual, motor, orbitofrontal and hippocampal territory, and the left dorsal middle insula classifies which organ is being attended to (56.3%, d = 0.61). Their reading is deliberately modest: the differences ‘may reflect differences in the functional roles’ of the two channels — arousal signalling versus feeding regulation — so organ-specificity is functional rather than merely a failure to converge. Caveat: an attention paradigm with no ground truth, so this is a claim about substrate, not ability. (Haruki & Ogawa (2023), Haruki & Ogawa (2021) Role of anatomical insular subdivisions in interoception, Eur J Neurosci 53:2669-2680, Schulz (2016) Neural correlates of heart-focused interoception: a meta-analysis, Phil Trans R Soc B 371:20160018)
- Olivia K. Harrison (née Faull) & Klaas Enno Stephan: Not a position they argue, but the sharpest datum on the page: the same trait predicts two channels with opposite sign. Harrison et al. (2021) find moderate trait anxiety associated with reduced respiratory perceptual sensitivity on the FDT (3.0 vs 4.0 filters, Z=-2.4, p=0.01), replicating Garfinkel et al. (2016a) and Tiller et al. (1987). The wiki’s cardiac panic literature has anxiety going the other way — panic patients detect heartbeats better (Ehlers 1993; Zoellner & Craske 1999). Every other entry on this page argues from a null correlation; a sign reversal is stronger evidence than a null, because unreliable measurement produces nulls and does not produce reversals. Two readings, unresolved: genuine organ-specificity, or an indictment of the counting task, on which anxiety has a documented route to manufacturing accuracy that the FDT’s physically-specified stimulus does not offer. The paper never frames it as a domain-generality finding — Harrison et al. work within one channel by design — which is why it lands here as a datum rather than a stance. (Harrison et al. (2021))
- Gary G. Berntson & Sahib S. Khalsa: Organ-specificity is what the anatomy predicts, and the field’s measures were never entitled to assume otherwise. Their review catalogues wholly distinct transduction machinery per channel — carotid-body TASK channels, neuropod synapses onto vagal afferents, PIEZO mechanoreceptors, osmoreceptors, humoral and directly-central sensing — arriving over vagal, spinal, cranial and bloodstream routes that do not converge until late. On that picture a common cross-channel ability would need a central common cause, and the review notes that ‘the full interoceptive brain network underlying this implementation has not been identified.’ Khalsa supplies the leading defence of the other side procedurally rather than theoretically: interoception must be perturbed to be measured (bolus isoproterenol), so resting nulls may be nulls about rest. (Berntson & Khalsa (2021), Khalsa et al. (2018), Khalsa et al. (2009) Bolus isoproterenol infusions, Int J Psychophysiol 72:34-45)
- Sahib S. Khalsa, Ilona Croy & the anticipation-paradigm group: Not a stance they take, and the page’s first positive cross-modal correlation. Wilzok et al. (2023) built two paradigms measuring anticipated versus experienced interoceptive magnitude, ran them in 52 people on respiroception and nociception with literally identical cues, scales and timing, and found the induced anticipation–experience gap correlated r = 0.57 across the two channels. Every other cross-channel test on this page returns a null. Three reasons it does not straightforwardly contest Banellis, all recorded on Discrepancy awareness: it is a different layer (a signed difference between two VAS self-reports, not sensitivity or precision — and Banellis’s one positive result was also off the perceptual layer, in confidence); shared scale use explains it completely and there is no exteroceptive control task of the kind that decided the confidence question; and whether nociception is an interoceptive channel at all is unsettled. What it does do is give escape 1 below a datum: both channels were aversively perturbed, and structure appeared where resting studies find none. Khalsa is an author and never makes the argument. (Wilzok et al. (2023), Kruschwitz et al. (2019) Self-control is linked to interoceptive inference, Cognition 193:104028, Ceunen, Vlaeyen & Van Diest (2016) On the origin of interoception, Front Psychol 7:743)
Connections
- Related debates: Is the heartbeat-counting task a valid measure of cardiac perception?, Is more interoceptive awareness better?, contemplative training increase objective interoceptive accuracy?, inferential?, Can brain–body coupling be measured in a person?
- Related concepts: Interoceptive taxonomy (Farb et al. Box 1), Interoceptive sensitivity, Interoceptive precision, Metacognitive efficiency and metacognitive bias, Interoception, Respiratory interoception, Interoceptive control, Exteroception Boundary, Anxiety sensitivity, Nociception, Discrepancy awareness
Created with the Banellis et al. (2026) ingest, and overdue in the same way Is the heartbeat-counting task a valid measure of cardiac perception? was overdue: the material had been accumulating for six ingests — Ferentzi on Interoceptive taxonomy (Farb et al. Box 1), the “scarce and inconsistent” line on Quadt et al. (2018), the exceptionality argument on Respiratory interoception, the pending-question note on Interoceptive control — without the fight being named.
Why it is the more damaging of the wiki’s two measurement debates
Is the heartbeat-counting task a valid measure of cardiac perception? asks whether one instrument works. This asks whether the construct travels. They are independent, and the second is worse for this wiki, because a bad instrument can be replaced while a non-existent general construct cannot.
Consider what the wiki routinely does. Dunn measures cardiac counting accuracy and concludes about intuitive decision-making. Wiens measures cardiac discrimination and concludes about emotional intensity. Nentjes measures cardiac discrimination and concludes about Psychopathy. Khalsa measures cardiac discrimination and concludes that interoception declines with age. Each conclusion is stated about interoception; each measurement is about a heart. If the axes are independent, every one of those inferences needs its scope narrowed, and the Is more interoceptive awareness better? collision table — which lines up findings from different labs, disorders and outcomes as though they were measurements of one quantity — is comparing quantities that have been shown not to covary.
What is agreed
- First-order performance does not travel. Nobody in this debate now claims cardiac accuracy predicts respiratory accuracy. Even Garfinkel et al. (2016), the domain-generality anchor, reported first-order performance as unrelated across the axes; their claim was always about the metacognitive layer.
- Something does travel: confidence. Both camps find it. The dispute is over what it is.
- The instruments were incommensurable until recently. Comparing a counting score to a filter-detection score confounds modality with method. The HRDT/RRST pair is the first matched instrumentation, which is why the 2026 null carries more than the earlier ones.
The crux: what is the domain-general confidence signal?
This is where the debate now actually lives, and both readings fit the data.
| Confidence as interoceptive sensibility | Confidence as general metacognitive bias | |
|---|---|---|
| What the cardiac↔respiratory r = 0.51 shows | A real shared interoceptive layer — the person’s relationship to their body as a whole, above the organ-specific perceptual machinery | A response-scale disposition with no bodily content |
| What the respiratory↔auditory r = 0.64 shows | An embarrassment: the largest correlation involves a task with no body in it | Exactly what is predicted; audition is not special, nothing is |
| Consequence for Multidimensional Assessment of Interoceptive Awareness (MAIA) and questionnaire measures | They measure the general interoceptive layer, and their failure to predict accuracy is expected | They measure a trait that is not interoceptive at all, and calling it interoceptive sensibility is a category error |
The auditory correlation being the largest is the strongest single fact in this debate and it favours the right-hand column. A shared interoceptive layer should not bind more tightly to tones than to breath.
The wiki’s caution against overreading it: mean confidence on any two VAS-rated forced-choice tasks will correlate partly through scale use, and no study here decomposes that. “Confidence is domain-general” and “confidence ratings share method variance” predict the same matrix.
The second leg: the brain does not treat the channels alike either (Haruki & Ogawa 2023)
Everything above is an argument from individual differences — scores from different people, correlated or not. That evidence class has a standing weakness this debate has not had to face: a null correlation can be produced by unreliable measurement rather than by independent faculties, and the instruments here are contested on exactly that ground (see Is the heartbeat-counting task a valid measure of cardiac perception?).
Haruki & Ogawa (2023) supply evidence of a different kind, and it is within-subject. The same 31 people attended to their heart and to their stomach minutes apart, against the same control. Reliability of a difference score across people is not at issue; what is measured is whether one brain does the same thing twice.
It does not:
- Right dorsal anterior insula was the only region preferring cardiac attention — and this wiki’s most-cited interoceptive region turns out to prefer one organ (see Insular cortex).
- Gastric attention recruited occipitotemporal visual cortex overlapping the Gastric network, plus orbitofrontal cortex, hippocampus and primary motor cortex — a feeding-and-foraging profile with no cardiac counterpart.
- Left dorsal middle insula classified which organ was being attended to from its multivoxel pattern, while showing no mean-activation preference for either.
Why the two legs are independent, and why that matters. Decorrelated individual differences are compatible with a shared substrate (two people could use the same circuit with different competence). A shared substrate is compatible with decorrelated scores (same machinery, channel-specific signal quality). Neither result entails the other; they are separate predictions of the organ-specific view, and both came out.
What it does not do is fill the gastric gap below. This is a neural signature, not a psychophysical axis. The three-channel test still requires a gastric task with a correct answer, and this paradigm has none — it measures attention, not accuracy (Interoceptive attention task). The gastric channel now has a brain signature and still no way to be good or bad at it.
And one caution against overreading in the domain-specific direction. Two channels should differ somewhere in the brain — they carry different information from different organs for different purposes, which is true of the visual and auditory systems without anyone concluding that exteroception is not a thing. The finding that bites is not that the maps differ but that they differ at the top, in the anterior insula where the field locates integration and unified feeling. Divergence at the transduction end would be unremarkable; divergence at the re-representation end is what a domain-general account cannot easily absorb.
The third leg: a sign reversal, which a null cannot give you
The two legs above are (i) decorrelated individual differences and (ii) divergent neural substrate. Both are arguments from absence — no correlation, no shared map. Both are therefore vulnerable to the standing objection that unreliable instruments manufacture nulls.
Harrison et al. (2021) supply evidence of a third kind, and it is immune to that objection in a way the others are not.
| channel | instrument | anxiety and detection |
|---|---|---|
| cardiac | counting / discrimination | anxious and panic samples detect better |
| respiratory | FDT | anxious participants detect worse (Z = −2.4, p = 0.01) |
Noise attenuates correlations toward zero. It does not flip their sign. So if both findings are real, the channels are not merely independent — a single trait relates to them oppositely, which no version of “one interoceptive ability, differently measured” can absorb.
The honest caveat is that the two findings come from different instruments as well as different organs, so the confound this debate has fought about all along is still present. And the alternative reading is not friendly to the cardiac side: the counting task has a documented mechanism by which anxiety produces a higher accuracy score without better perception (count faster in a population that undercounts — see Anxiety sensitivity). The FDT has no such route; the load is physically present or absent. On that reading there is no reversal to explain, only one real finding and one artefact — which would be worse for the cardiac literature than for domain generality.
The discriminating study is small and has not been run: both tasks, one anxiety-selected sample. It is easier than the isoproterenol experiment ranked first below, and it would settle whether this page has a reversal or a broken instrument.
The fourth leg, pointing the other way: a positive correlation under perturbation
Everything above argues for organ-specificity. Wilzok et al. (2023) is the page’s one contrary datum and it should be held at its actual weight — which is less than it looks, and more than nothing.
Fifty-two people did the same two paradigms twice: once with graded pinprick pain, once with graded inspiratory loading. Same grey-shade cues, same three VAS, same trial structure, same session. The quantity was the anticipation–experience gap, manipulated by delivering a stimulus one level above or below what the cue promised. Across channels it correlated at r = 0.57.
Three things stop this from being the domain-generality result the debate has been waiting for.
It is at the wrong layer. The decorrelation findings are about sensitivity, precision and metacognitive efficiency — first-order perceptual competence and its readout. A discrepancy score is the difference between two marks a person makes on the same scale seconds apart. Note where the wiki’s other cross-modal positive sits: confidence, also a self-report magnitude, also not a threshold. The pattern across both studies is that self-report quantities travel across channels and psychophysical ones do not, which is a tidier summary of the evidence than either paper offers and is not friendly to a general ability.
Shared method variance is unexcluded and the design maximizes it. A participant with a consistent anchoring habit produces correlated discrepancies with no shared bodily machinery. This is the same caution the crux table applies to Banellis’s confidence result — but there it could be tested, because Banellis included an auditory task and the auditory correlation turned out to be the largest. Wilzok has no exteroceptive comparison. The decisive control is exactly the one missing.
One of the two channels may not qualify. See Nociception. On Ceunen et al.’s narrow definition, cutaneous pinprick is somatosensory and this is not a within-interoception correlation at all. The authors adopt broad inclusion explicitly and the finding depends on it.
What survives all three brakes is that both channels were aversively perturbed — and that is the condition escape 1 says has never been tested. It is a consistency, not a test, since arousal is confounded with layer, instrument and channel set. But the escape ranked first below now has one observation pointing its way instead of none.
The escapes, ranked
- Arousal / perturbation (strongest, and now with one datum). All the null evidence is from resting healthy participants. Predictive accounts hold that interoceptive prediction errors matter most when the body is perturbed; a common central factor could exist and be invisible at rest. Sahib S. Khalsa’s isoproterenol programme is built on this premise, and the Banellis authors endorse the test. This is still the discriminating experiment the debate needs and does not have — but see the fourth leg above: Wilzok et al. perturbed two channels hard and got r = 0.57, which is what this escape predicts and is not yet evidence for it, because nothing in that study varies arousal while holding the measure fixed. The experiment is now cheaper to specify than it was: one sample, one battery, rest versus challenge.
- Development and pathology. All the samples are healthy young adults. A general factor could be present in a clinical population, or in childhood before channel-specific expertise diverges — though Chen et al. note there is no instrument for non-verbal populations, so the developmental version may be untestable with current tools.
- Precision-weighting (Garfinkel’s). Channels may be differentially weighted rather than differentially able, so a person could be perceptually competent everywhere and behaviourally sensitive only where weight is assigned. This predicts decorrelated task performance with a shared underlying capacity — i.e. it is compatible with every null on this page while preserving a general mechanism. Elegant, and hard to falsify.
- Task asymmetry (weakest but unresolved). HRDT is multisensory, RRST unimodal. Fixable, and the authors say how.
What would resolve it
- The same battery under pharmacological or exertional challenge. If cardiac and respiratory sensitivity correlate under isoproterenol or exercise and not at rest, domain generality survives as a state-dependent property, which is a more interesting claim than the one being defended.
- Three or more channels in one sample with matched psychophysics. Ferentzi covered breadth with weak instruments; Banellis covered instruments with two channels. Gastric is the notable absence, since it is where coherence was originally claimed — and Levakov et al. (2023) complicates the obvious way of filling it. The gastric channel’s best-developed measure is a coupling quantity (Gastric network phase synchrony), which has no test–retest reliability in individuals; the reliable gastric measurement is the EGG signal itself, which is physiology and not perception. So gastric cannot currently enter this debate as a third psychophysical axis at all. Someone would first have to build a gastric detection task with modern psychophysics, and the last serious attempts date to the 1980s. Updated with Haruki & Ogawa (2023): the gastric channel now has a neural signature obtained without any instrumentation — cue the word STOMACH and a distinctive cortical profile appears. That is enough to enter the substrate argument above and not enough for the psychophysical one, since the paradigm has no correct answer. The gap has narrowed in the wrong currency.
- Decomposing the confidence correlation. Does cross-modal confidence still bind after scale-use variance is modelled out? A generative model of interoceptive metacognition is the authors’ own proposal.
- A control-side test. Whether Interoceptive control is channel-specific is entirely unknown, and cannot be inferred from these perceptual nulls. There is currently only one channel with a control task (Respiratory tracking task with visuomotor perturbation (respyra)), so this question may be unaskable for some time.
Why open rather than resolved
Because the null is moderate rather than decisive, because it is confined to two channels at rest in one demographic, and because the most plausible defence of domain generality — that it appears only under perturbation — is not merely unrefuted but untested. What is resolved is narrower and still consequential: there is no demonstrated person-level interoceptive ability, and claims of the form “X has poor interoception” are, on present evidence, claims about an organ.