Search bioRxiv⌕ Search

Biology subjects

Talpir, I.

Publications and source records attributed to Talpir, I..

2 recordsLinked to original sources

A cortical basis for perception of internal gut sensations

Interoception, the sensing of internal bodily signals, is essential for brain-body interactions and shapes emotion, cognition, and behavior1-5. Subconscious internal signals, including heartbeats or stomach fullness, can rise to conscious awareness, and this process can improve with practice, as seen in meditation, mindful eating, or toilet training in early infancy. Conversely, disrupted interoception is emerging as a common deficit in diverse psychiatric disorders1,3,6,7. Nevertheless, we still lack a fundamental understanding of the neurobiological basis of perception and conscious reporting of internal sensations. Here, we combine genetic and ultra-sensitive optogenetic tools in mice to establish a quantitative framework for studying internal perception. We developed a behavioral task in which mice report detecting non-invasive optogenetic activation of gut mechanosensory neurons, establishing "interoceptive psychophysics". We combine this approach with cellular-resolution imaging and manipulations to reveal the neuronal basis for perception of these internal gut sensations in the interoceptive insular cortex. While representations of sensory stimuli were consistently observed in insular cortex across different tasks, we found that perceptual reports were only encoded during a more difficult psychophysics task, but not during basic detection. Accordingly, manipulation of insular cortex activity affected behavioral reports only in the psychophysics task. These findings reveal a neural basis for perception of internal gut sensations and provide a blueprint for future quantitative exploration of other interoceptive modalities.

neuroscience↗

Stereotyped goal-directed activity patterns in the insular cortex

The insular cortex is involved in diverse processes including bodily homeostasis, emotions, and cognition. Yet we lack a comprehensive understanding of how it processes information at the level of neuronal populations. We leveraged recent advances in unsupervised machine learning to study insular cortex population activity patterns (i.e., neuronal manifold) in mice performing goal-directed behaviors. We find that the insular cortex activity manifold is remarkably consistent across different animals and under different motivational states. Activity dynamics within the neuronal manifold are highly stereotyped during rewarded trials, enabling robust prediction of single-trial outcomes across different mice, and across various natural and artificial motivational states. Comparing goal-directed behavior with self-paced free consumption, we find that the stereotyped activity patterns reflect task-dependent goal-directed reward anticipation, and not licking, taste, or positive valence. These findings reveal a core computation in insular cortex that could explain its involvement in pathologies involving aberrant motivations.

neuroscience↗