Active Brain & Nervous System Psychology & Behaviour

Towards physiologically-informed rehabilitation therapies

In plain English

AI plain-English summary

A 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.

View original technical description
I propose multi-modal, cross-species experiments to first determine the neurophysiological mechanisms underpinning motor plasticity, and then to develop approaches that drive plasticity to enhance behaviour. I will focus on the role of neural dynamics, particularly on phase-amplitude coupling of θ- and γ-activity (θ-γ PAC), in two key nodes of the motor network: the primary motor cortex (M1) and thalamus, to address these key aims: - Decoding the neurochemical and circuit underpinnings of M1 θ-γ PAC and how it modulates network connectivity during motor plasticity - Driving motor network connectivity to optimise motor plasticity - Determining clinical relevance: the role of GABAergic signalling and θ-γ PAC in stroke recovery I will capitalise on the advantages of cross-species investigations to determine the causality and cell-type specificity of neural dynamics underpinning plasticity. I will drive plasticity using novel human neurophysiological tools to stimulate, and record from, deep brain structures to enhance behaviour. Finally, I will translate the physiologically defined stimulation approach developed in the fellowship to enhance behaviour in chronic stroke survivors. Taken together, this work will provide an essential understanding of the physiological changes underpinning motor skill acquisition, as well as resulting in putative therapeutic interventions to enhance stroke recovery: a substantial, under-met, clinical need.

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Researchers

Charlotte Stagg (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Exploring the role of inhibition in human motor plasticity.
Exploring the physiology and behavioural relevance of circuits in the human motor cortex with a novel transcranial magnetic stimulation device
Activity-dependent plasticity of long-range sensorimotor connectivity.
Implementation and Preliminary Validation of a Novel Noninvasive Neuromodulation Technique to Restore Hand Movement and Promote Recovery after Stroke
Sensorimotor plasticity in the cerebellar microcircuit and its therapeutic potential

Original classification

Senior Research Fellowship

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