Our current epilepsy research projects involves the acquisition and collation of clinical data via MRI, EEG and TMS. For more information on our current projects, please click on the projects listed below.

Brain networks in epilepsy: Endophenotypes and Generative Models

Since there are growing evidences showing the role of the human brain networks in the initiation-and-termination of a seizure, the aim of this project is to investigate the dynamic changes of the brain networks in patients with epilepsy.

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Investigation of brain networks in Absence Epilepsy and Juvenile Myoclonic Epilepsy

We are looking at brain networks involved in the clinical expression of absence epilepsy and in juvenile myoclonic epilepsy before and after treatment.

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Quantifying brain network connections: a novel biomarker for idiopathic generalised epilepsies?

This project aims to measure the biophysical properties of white matter tracts that connect seizure-generating networks in idiopathic generalised epilepsies, using magnetic resonance imaging.

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Cortical signatures of antiepileptic drugs: A pharmaco-TMS-EEG study

This project aims to identify cortical fingerprints of antiepileptic drugs activity in healthy individuals by means of TMS-EEG.

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Brain Networks in Focal Epilepsy

This project aims to investigate brain network properties in temporal lobe epilepsy to identify network abnormalities related to epilepsy and potentially endophenotypical network properties present in relatives of patients with epilepsy.

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Using MRI and EEG to investigate brain function in IGE

This research project aims to use magnetic resonance imaging (MRI) and electroencephalography (EEG) to investigate brain function in idiopathic generalised epilepsy (IGE).

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Network patterns of the EEG microstructure

The microstructural EEG elements and their topographies relate with many neurophysiological functions of the brain and can reveal neurological abnormalities. To reveal dysfunctional network properties of the epilepsy EEG microstructure, we develop computational tools that make use of machine learning and graph theory techniques.

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Remote of Disease and Relapse in Central Nervous System Disorders

RADAR-CNS is a major international research project, which aims to develop new ways of measuring major diseases including depressive disorder, epilepsy and multiple sclerosis using wearable devices and smartphone technology.

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