Philipp Kanske and collaborators. NeuroImage 122:6–19. Primary behavioural validation and neuroimaging; emotionality and mental-state reasoning manipulated independently.
Geoffrey Bird and collaborators. Brain 133:1515–1525. Primary neuroimaging study with alexithymia assessed in both diagnostic groups.
Geoffrey Bird Created 2026-10-25 Updated 2026-11-05
A researcher who coauthored neuroimaging studies separating alexithymia from autism in responses to another person’s pain. Measuring both characteristics helped distinguish a diagnostic-group difference from a correlated individual trait.[ref]
Empathic brain responses in insula are modulated by levels of alexithymia but not autism by Geoffrey Bird and others. study design and results; author roster
Hugo D. Critchley and collaborators. Nature Neuroscience 7:189–195. Primary heartbeat-timing task and functional neuroimaging.
Neuroimaging Created 2026-10-13 Updated 2026-11-05
Neuroimaging measures structural or functional properties of the nervous system. Different methods record different physical signals, so anatomical images and activity-sensitive measurements support different inferences.
For example, electroencephalography records electrical potential differences, while many functional vascular measurements depend on neurovascular coupling. Spatial overlap in an image is not by itself proof that one location implements a complete psychological process.
Interoception can contribute to social cognition by shaping emotional experience, the interpretation of others’ affect and the regulation of attention and action; it is not established as a universal prerequisite for understanding minds. Internal bodily signals are one source of information among visual, linguistic and contextual cues. A useful account must distinguish physiological state, detection of that state and interpretation of its significance.
Interoception includes processing signals related to the internal body. For social cognition, a faster heartbeat might contribute to experienced arousal, influence the significance of a threatening face or become evidence in an interpretation of one’s own discomfort during an interaction. The same change could accompany fear, effort or excitement. Bodily input therefore does not arrive with an unambiguous social label. Its contribution depends on context, expectations and the person’s ability to distinguish their own state from another’s.
Measurement is consequently central. Interoceptive accuracy is performance on an objective task; interoceptive sensibility concerns subjective reports; interoceptive awareness, in a more specific metacognitive framework, concerns how well confidence tracks actual performance. A primary comparison found these dimensions empirically dissociable rather than interchangeable. Someone who often attends to the body need not detect its signals accurately, and someone who performs accurately need not know when they are correct. A study connecting a questionnaire to empathy therefore cannot automatically be interpreted as connecting sensory accuracy to empathy.[ref]
Knowing your own heart: distinguishing interoceptive accuracy from interoceptive awareness by Sarah N. Garfinkel and others. Abstract and pp. 65–74: accuracy, sensibility and confidence–accuracy correspondence
Neuroimaging provides a plausible substrate. During heartbeat-timing judgments, right anterior insular/opercular activity related to objective performance, alongside a wider set of responses. This links a region involved in representing bodily state to measured interoceptive behaviour. Other work found affect-related insular recruitment when participants experienced pain themselves and when a partner experienced it. These observations support a possible bridge between self-state representation and vicarious affect, but anatomical overlap does not prove that exactly the same neurons or computations implement both functions.[ref]
Neural systems supporting interoceptive awareness by Hugo D. Critchley and others. Abstract and pp. 189–195: heartbeat-timing task, insular activity and performance
[ref]Empathy for pain involves the affective but not sensory components of pain by Tania Singer and others. Abstract: shared affect-related activity for self and partner pain
Manipulating when a social stimulus arrives offers a different test. A cardiac-phase experiment presented emotional faces at systole or diastole, using cardiac monitoring to time stimuli. Fearful faces were detected more easily and judged more intense at systole than diastole; associated imaging showed greater amygdala responses to fearful faces at systole. This shows that the bodily cycle can influence processing of an external affective cue even when the observer is not explicitly reasoning about their own heartbeat. It does not establish that consciously accurate heartbeat detection is necessary for the effect, or that cardiac phase explains every social judgment.[ref]
Fear from the heart: sensitivity to fear stimuli depends on individual heartbeats by Sarah N. Garfinkel and others. Abstract and Experiments 1–2, pp. 6573–6582: heartbeat-triggered faces, detection and intensity measures
Individual-difference evidence suggests another pathway. Alexithymia concerns identifying and describing one’s emotions, not having no emotions. In one study, empathy-related insula responses varied with alexithymia rather than autism diagnosis after adjustment. A separate psychophysical study associated alexithymia with interpreting facial expressions, while physical expression discrimination and identity judgments supplied important controls. Together they suggest that access to, or interpretation of, affective states may contribute to selected social-emotional tasks. They do not prove a single bodily-sensing deficit causes all these effects.[ref]
Empathic brain responses in insula are modulated by levels of alexithymia but not autism by Geoffrey Bird and others. Abstract: alexithymia and empathy-for-pain responses across diagnostic groups
[ref]Alexithymia, not autism, predicts poor recognition of emotional facial expressions by Richard Cook and others. Experiments 1–2: emotion attribution versus physical expression and identity discrimination
A direct interoceptive comparison also found that heartbeat-counting performance tracked alexithymia more clearly than autism across its tested groups. Its interpretation depends on the validity of the counting task. A common heartbeat counting score compares recorded counts and reported counts over intervals:A perfect heartbeat-counting score does not establish heartbeat detection: it only shows that reports matched recorded counts. Someone estimating from prior heart-rate knowledge can match the count without detecting individual beats. The score also depends mechanically on the denominator, so a relationship with actual heart rate needs interpretation. Empirical measurement analyses have exposed such problems; they qualify the inference from counting to perception, not the existence of bodily influences on cognition.[ref]
Alexithymia, not autism, is associated with impaired interoception by Punit Shah and others. Abstract and Experiments 1–2: alexithymia, autism and heartbeat-counting performance
[ref]Interoceptive accuracy scores from the heartbeat counting task are problematic: evidence from simple bivariate correlations by Giorgia Zamariola and others. Abstract and pp. 12–17: count-score relationships, actual heart rate and interval effects
The statistical critique also needs qualification. A published reanalysis argued that several bivariate findings arise from analysing a ratio score and are less decisive than first claimed. This does not resolve every strategy or validity concern, and it does not invalidate the logical counterexample above. Mathematical dependence, sensory detection and behavioural usefulness should be tested as separate questions.[ref]
Are interoceptive accuracy scores from the heartbeat counting task problematic? A comment on Zamariola et al. (2018) by Daniel Zimprich and others. Abstract: reanalysis of ratio scores and qualifications to the bivariate criticisms
A strong interoceptive account must therefore specify the intermediate mechanism. Bodily input may change experienced affect, which changes attention to another person; uncertainty about one’s own state may complicate separating self-generated distress from another’s needs; physiological regulation may help sustain a demanding interaction. These are different causal routes. Each requires measurements of its proposed intermediate steps, temporal ordering and controls for general anxiety, task comprehension and sensory or motor demands. Merely correlating two questionnaires cannot choose among them.
There are also clear limits to generalization. Cardiac detection does not measure every visceral modality, and evidence about recognizing emotional faces does not automatically explain representing a false belief. A shared insular signal is not a complete theory of interpersonal understanding. Good tests combine validated bodily tasks, objective physiology, confidence measures and independently defined social outcomes, ideally manipulating bodily input while testing competing explanations. By the examination date, converging studies supported a contribution to some affective aspects of social cognition; the claim that one interoceptive deficit explains all social difficulties was substantially stronger than the evidence.
Philipp Kanske Created 2026-10-25 Updated 2026-11-05
Philipp Kanske studies social-affective and social-cognitive processes. His EmpaToM study independently varied emotional content and the need to infer a speaker’s mental state, combining behavioral measures with neuroimaging. The design helps separate empathy from theory of mind rather than assuming that a response to an emotional story measures both. [ref]
Dissecting the social brain: Introducing the EmpaToM to reveal distinct neural networks and brain-behavior relations for empathy and Theory of Mind by Philipp Kanske and others. 2015, task construction, independent manipulations and neural comparisons
Robert W. Cox Created 2026-10-20 Updated 2026-11-05
Researcher in neuroimaging and coauthor of work examining false positives in clustered functional magnetic resonance imaging results. The study revisited assumptions used to assign significance to spatial patterns, illustrating why analysis software and its statistical model must be evaluated together.[ref]
