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Includes clinicians, engineers and psychologists
Part of the Medical Research Council Brain Network Dynamics Unit at Oxford
Funded by MRC, NIHR Oxford BRC, Wellcome Trust, Rosetrees Trust & Parkinson’s UK
Our goal is to define how activity in large populations of neurons is coordinated in healthy movement and how such coordination may go awry in diseases, translating this information in to improved treatment for Parkinson’s Disease and other disorders of movement.
The Experimental Neurology Group is led by Professor Peter Brown and has made major advances in understanding how abnormal interactions between brain cells cause slowness of movement, tremor and stiffness in patients with Parkinson’s Disease.
The group takes a multidisciplinary approach combining experimental manipulations with sophisticated signals analysis and modelling. The group’s ultimate goal is to utilise their discoveries to improve treatment in Parkinson’s Disease and other illnesses where similar principles apply.
The research programme is one of five comprising the Medical Research Council Brain Network Dynamics Unit at the University of Oxford, which Professor Brown directs.
1. Functional connectivity within subcortico-cortical motor loops in disease
- Record deep brain activity through brain pacemaker electrodes and more superficial brain activity using EEG and MEG
- Explore how disease is reflected in abnormal patterns of functional coupling across different frequencies
- Determine which of these features is causally involved in driving symptoms
Information for Patients and Volunteers
Do you have Parkinson’s, Essential Tremor or a Brain Pacemaker and would like to help?
2. Functional connectivity within subcortico-cortical motor loops in health
- Explore how the organisation of normal movements is reflected in patterns of functional coupling across different frequencies
- Determine which of these features is causally important in normal behaviour
3. Using spectral biomarkers to improve therapy
- Develop closed loop ‘smart’ deep brain stimulation
- Improve intra-operative and post-operative target selection for stimulation
- Seek novel pharmacological and surgical targets through predictive models