Interoception vs. Exteroception: Cardiac interoception competes with tactile perception, yet also facilitates self-relevance encoding
Abstract
Internal bodily signals, notably the heartbeat, influence our perception of the external world—but the nature of this influence remains unclear. Different frameworks, originating in opposing views of the function of interoception, have developed largely in parallel. One line of evidence (Internal/External Competition) indicates that interoceptive and exteroceptive inputs compete for neural resources. Another line (Self-related Facilitation) shows a link between interoceptive and self-related processing, which might include computing the self-relevance of exteroceptive inputs. We contrasted these accounts within a single experimental task for which they yielded distinct predictions. We measured heartbeat-evoked potentials (HEPs, a measure of cardiac interoception) with electroencephalogram and manipulated the self-relevance of an audio-tactile stimulus by placing the audio source either inside or outside the peripersonal space immediately around the body. On the one hand, prestimulus HEP amplitudes over the somatosensory cortex were linked to slower reaction times and affected audio-tactile stimulus-evoked responses in the same area, indicating competition for shared neural resources. On the other hand, prestimulus HEPs over integrative sensorimotor and default-mode network regions facilitated stimulus self-relevance encoding, both in reaction times and audio-tactile evoked responses. Importantly, Competition and Facilitation effects were spatially and statistically independent from each other. We therefore reconcile the two views by showing the coexistence of two independent mechanisms: one that allocates neural resources to either internal bodily signals or the external world, and another by which interoception and exteroception are combined to determine the self-relevance of external signals. Our results highlight the multidimensionality of HEPs and of internal states more generally.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (3)
Marie Loescher
Laboratoire de Neurosciences Cognitives et Computationnelles, Département d’Études Cognitives, École Normale Supérieure, Université Paris Sciences et Lettres, INSERM U960
Patrick Haggard
Institute of Cognitive Neuroscience, University College London
Catherine Tallon-Baudry
Laboratoire de Neurosciences Cognitives et Computationnelles, Département d’Études Cognitives, École Normale Supérieure, Université Paris Sciences et Lettres, INSERM U960