Beyond diagnosis, the Digital Neurotherapeutics Centre lets us take our mapping work directly into treatment. We're working to turn these tools, network mapping, neuromodulation, immersive behavioural platforms, into general principles that translate into both diagnosis and treatment. Refining DBS and TMS around the circuits our mapping identifies, and building immersive exergaming environments for movement and cognitive rehabilitation on the same programmable platforms we use to study behaviour.

Measured with enough resolution, movement reveals motor signatures before they are visible to a clinician. We are building a network-level representation of whole-body movement from high-resolution data captured across body-worn sensors and video-based, AI-reconstructed motion, across multiple clinical cohorts, to find measures that are more sensitive and more specific than conventional rating scales.

We use DBS, lesion, and coordinate network mapping, alongside stimulation-frequency manipulation and longitudinal kinematic gait assessment, to identify which circuits underlie specific symptoms. We are now expanding this by pairing high-resolution behavioural assessment directly with human brain imaging, with a particular focus on freezing of gait: a single clinical label that likely bundles several dissociable circuit failures, and one where this approach can recover a consistent signature across surgical targets and diseases.

Movement disorders are conventionally scored as a single composite severity, but gait, tremor, and bradykinesia are behaviourally and anatomically dissociable. We are building a framework that decomposes Parkinsonian movement into independent kinematic components using task batteries in patients and healthy controls, referencing each component against age- and sex-matched normative ranges, and testing whether these components better track dopaminergic denervation and respond selectively to therapeutic interventions (levodopa, DBS and rehabilitation).