Networks in Epilepsy Surgery

Epilepsy surgery has emerged as an important and possibly curative treatment for many treatment resistant focal epilepsies. However, it is becoming increasingly clear that even 'focal' epilepsy is a dynamic condition involving a whole network of brain areas. Predicting whether or not surgery can be successful, and identifying which surgical approach will lead to seizure freedom still remains a challenge.  

In this research stream, we are applying advanced computational modelling of neuronal dynamics to intracranial EEG recordings from paediatric patients undergoing evaluation for epilepsy surgery. We are hoping that this work will help improve our planning for epilepsy surgery to help as many patients as possible achieve seizure freedom.

PhD position investigating epileptic networks - start Autumn 2019

We will be advertising a PhD position based at the Wellcome Centre for Human Neuroimaging to use network neuroscience tools, including dynamic causal modelling, to investigate epileptogenic networks in patients undergoing pre-surgical evaluation at Great Ormond Street Hospital.

Further details will be added in due course, but if you are interested or want to know more, please do get in touch to discuss.


Rachel Thornton
Consultant Neurophysiologist
Great Ormond Street Hospital, London (UK)

Martin Tisdall
Consultant Neurosurgeon
Great Ormond Street Hospital, London (UK)

Arian Ashourvan
Postdoctoral Research Fellow, University of Pennsylvania, Philadelphia (US)

Pierre Bourdillon
University Hospitals,
Lyon (France)

Yujiang Wang
Research Fellow
Newcastle University,
Newcastle (UK)

Gabrielle Schroeder
Doctoral Student
Newcastle University, 
Newcastle (UK)

Screenshot 2019-07-02 at 18.24.05.png

Here we use dynamic causal modelling to investigate the networks that underpin the local spread of interictal discharges

bioRxiv: Preprint

Screenshot 2019-07-02 at 18.26.51.png

This code was used to perform analysis and modelling of the spread of interictal epileptiform discharges

Github: Travelling Spikes


Using a dynamic causal modelling approach may be helpful to make quantitative predictions for epilepsy surgery

Figshare: Patient-specific SEEG model


Using a mixture of functional-connectivity based approaches, and dynamic causal modelling, this code infers the generative structure underlying SEEG recordings

Github: SEEG Networks