Active Brain & Nervous System

Fronto-Sensory Circuits in Flexible Generalised Rule Learning

In plain English

AI plain-English summary

Every time you learn a new rule—like which button to press when you hear a tone—your brain must flexibly shift attention between senses and past experiences. This project investigates exactly how that happens, by watching neural circuits in real time as mice learn tactile and crossmodal rules. The core problem is that we do not understand the specific feedback signals that frontal brain areas send to sensory cortices to guide flexible learning, nor how those signals break down in conditions like autism spectrum disorder (ASD). The researcher will use advanced imaging to track activity in the orbitofrontal cortex and its connections to sensory regions during rule-learning tasks. They will then extend these findings to mouse models of Rett, Shank3, and Fragile-X syndromes—three genetic forms of ASD—to pinpoint where inflexible behaviour originates. A novel genetic tool called Beatrix will help identify which individual mutant neurons cause the problem. This is fundamental science: it will not produce a treatment tomorrow. But understanding the circuit-level mechanisms of flexible learning could eventually reveal cognitive biomarkers for ASD, enabling earlier diagnosis or more targeted interventions for behavioural inflexibility.

View original technical description
Learning complex rules guiding our everyday decisions requires explicit cognitive control and flexibility. However, we have little understanding of how flexible rule learning engages distributed neural circuits in the brain. One idea is that frontal cortical areas broadcast an attentional feedback signal that guides such learning. I will test the exact nature of this signal, at what circuit level it operates, and how altered feedback signals contribute to behavioural inflexibility in autism spectrum disorder (ASD). My proposed research will combine unimodal (tactile) and crossmodal (tactile-auditory) rule-learning and generalisation tasks in mice with state-of-the-art multi- area imaging of prefrontal brain areas and study their interactions with sensory cortices ('fronto-sensory circuits'). Task-related longitudinal functional measurements focusing on the orbitofrontal cortex will reveal mechanistic insights into the circuit-specific contributions of feedback signals guiding behavioural flexibility. As such framework emerges, key findings will be extended to identify core deficits in inflexible behaviour in syndromic ASD models - Rett, Shank3, and Fragile-X syndrome. We will develop novel genetic strategies (Beatrix) to identify mutant neurons within a mosaic brain and study their mechanistic contributions to inflexible behaviour. Overall, my findings will advance fundamental knowledge surrounding feedback- contingent learning and reveal novel cognitive biomarkers in preclinical models of ASD.

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Researchers

Abhishek Banerjee (EPMC Awardee)

Related Research

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Original classification

Career Development Award

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