Towards physiologically-informed rehabilitation therapies
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AI plain-English summaryA stroke survivor’s hand refuses to open, not because the muscles are damaged, but because the brain has lost the ability to rewire the motor circuits that control it. This research aims to understand the fundamental neural mechanisms that allow the brain to learn and recover movement after injury, and then to design stimulation therapies that actively drive that rewiring. The problem is that current rehabilitation therapies are largely trial-and-error, offering no way to directly enhance the brain’s own plasticity—its ability to reorganise connections. The researcher will focus on a specific electrical rhythm in the motor cortex and thalamus, known as theta-gamma phase-amplitude coupling, which appears to be a key signal for plasticity. By combining experiments in animals and humans, the work will identify the exact cell types and chemical signals that generate this rhythm, then use novel brain stimulation tools to strengthen it. If successful, this could transform stroke rehabilitation from passive exercise into a physiologically targeted therapy that actively drives recovery. The approach is also fundamental: it will reveal how the healthy brain learns new motor skills, a process that underpins everything from playing an instrument to recovering from injury.
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