Coventry University Featured PhD Programmes
Marshall Wace LLP Featured PhD Programmes
Coventry University Featured PhD Programmes

Mathematical modelling for epileptic seizure prediction


School of Mathematics

Dr Wessel Woldman Applications accepted all year round Competition Funded PhD Project (Students Worldwide)

About the Project

During recent years, epilepsy and seizures are increasingly understood as a disorder of large-scale brain networks. There are two key components to these networks: the activity within brain regions and the pattern of connections between them. The interplay between these, and in particular the dynamic time-scales over which these interactions occur, is crucial for understanding how likely it is for seizures to emerge. In turn, this may then help us understand and model the impact of treatments on this emergent seizure-likelihood.

This project involves the development and evaluation of a model framework that combines the introduction of a new perturbation to a dynamic network model. By building on small network structures with known variations, perturbations can be introduced and their efficacy assessed over time using numerical analysis and non-linear dynamics. It will then focus on using these novel insights with respect to actual clinical data (e.g. EEG) from people with epilepsy and undergoing new medications. 

This is an inherently mathematical and computational PhD research project, which will utilise tools from nonlinear and complex systems, ultimately applied to clinical data. It builds naturally on the research expertise of the supervisors who have significant experience in developing computational tools aimed at improving diagnosis, management and treatment of epilepsy.


Funding Notes

Applicants outside the UK would be subject to tuition fee at international rate.

References

Woldman, W., Schmidt, H., Abela, E., Chowdhury, F. A., Pawley, A. D., Jewell, S., ... & Terry, J. R. (2020). Dynamic network properties of the interictal brain determine whether seizures appear focal or generalised. Scientific reports, 10(1), 1-11.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here

The information you submit to University of Birmingham will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.

* required field

Your enquiry has been emailed successfully



Search Suggestions

Search Suggestions

Based on your current searches we recommend the following search filters.



FindAPhD. Copyright 2005-2021
All rights reserved.