Research

Understanding circuits, reaching them, and adapting stimulation in real time.

Our research connects mechanistic human neuroscience with non-invasive brain stimulation and real-time neurophysiology. Across projects, we ask which neural circuit mechanisms matter for behaviour, how those circuits can be modulated, and how ongoing brain state can guide more precise stimulation.

Adaptive and closed-loop stimulation

A major focus of the lab is moving from observing neural activity to interacting with it causally. We develop EEG-triggered and brain-state-dependent stimulation approaches that use ongoing oscillatory activity to determine when and how stimulation is delivered.

This work grew from studies of beta oscillations and inhibitory control and now supports a broader question: can mechanistically meaningful brain states tell us when stimulation is most likely to have an effect?

Adaptive neuromodulation in Parkinson’s disease

Parkinson’s disease is an important translational model for the lab. We investigate pathological and behaviourally relevant motor brain states, including beta dynamics, and develop approaches for decoding these states from both invasive and non-invasive recordings. The longer-term goal is to use these read-outs to support adaptive, non-invasive neuromodulation.

Theta–gamma dynamics, memory and ageing

Our work on adaptive stimulation extends beyond motor systems. Current PhD research investigates closed-loop theta–gamma stimulation to probe episodic memory mechanisms, with longer-term relevance for cognitive ageing and Alzheimer’s disease.

Reaching deeper and distributed circuits

Many of the circuits we want to influence extend beyond superficial cortex. We investigate how transcranial electrical stimulation can alter cortico-subcortical network activity and collaborate on approaches such as transcranial ultrasound that offer new ways to reach deeper targets non-invasively. We combine stimulation with EEG, TMS, MRI/MRS and intracranial recordings to establish whether and how the intended circuit is engaged.