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Hayriye Cagnan studied Electrical and Electronics engineering at Cornell University as a Fulbright Scholar and specialized in signal processing and biomedical engineering (2000-2004). In 2004, she was awarded a British Chevening scholarship and was accepted to the Master of Science programme in Engineering and Physical Science in Medicine at Imperial College. She completed her PhD in Neuroscience in a joint placement between the University of Amsterdam and Philips Research Laboratories in December 2010.
MRC Skills Development Fellow
Most neurological and psychiatric disorders are driven by complicated neural circuits. Tremor is one such disorder, driven by exaggerated rhythmic activity in brain regions involved in motor control. To date, disease circuit remains poorly understood and treatment options limited. Due to limitations of pharmacological therapy for long-term treatment of tremor, deep brain stimulation has become a prevalent alternative for management of disease symptoms. Deep brain stimulation is an effective surgical treatment, which involves regular and high frequency electrical stimulation of key brain regions by a battery powered brain pacemaker. Stimulation is effective, but unfortunately may affect other functions giving rise to side effects, impacting patients' speech, balance and impulsivity. This is because the form of stimulation presently applied cannot distinguish between diseased and normal brain activities.
In 2015, I was awarded a MRC Skills Development Fellowship and joined the Wellcome Trust Centre for Neuroimaging at University College London. I continue my close collaborations with NDCN as an Honorary Research Fellow.
Funding: Medical Research Council
The relative phases of basal ganglia activities dynamically shape effective connectivity in Parkinson's disease.
Cagnan H. et al, (2015), Brain, 138, 1667 - 1678
The nature of tremor circuits in parkinsonian and essential tremor.
Cagnan H. et al, (2014), Brain, 137, 3223 - 3234
Phase dependent modulation of tremor amplitude in essential tremor through thalamic stimulation.
Cagnan H. et al, (2013), Brain, 136, 3062 - 3075
Dynamic causal modelling revisited
Friston KJ. et al, (2017), NeuroImage
Stimulating at the right time: phase-specific deep brain stimulation.
Cagnan H. et al, (2017), Brain, 140, 132 - 145
Adaptive deep brain stimulation for Parkinson's disease demonstrates reduced speech side effects compared to conventional stimulation in the acute setting.
Little S. et al, (2016), J Neurol Neurosurg Psychiatry, 87, 1388 - 1389
Bilateral adaptive deep brain stimulation is effective in Parkinson's disease.
Little S. et al, (2016), J Neurol Neurosurg Psychiatry, 87, 717 - 721
Analysis of Oscillatory Neural Activity in Series Network Models of Parkinson's Disease During Deep Brain Stimulation.
Davidson CM. et al, (2016), IEEE Trans Biomed Eng, 63, 86 - 96