Available
Project number:
2025_39
Start date:
October 2025
Project themes:
Main supervisor:
Senior Lecturer
Co-supervisor:
Verity McClelland
Additional Information:
Developing a digital twin model to simulate the brain’s response to EEG-based neurofeedback– a potential neurorehabilitation approach for childhood dystonia/dystonic cerebral palsy.
When designing brain computer interfaces (BCI), the objective is to train a participant to interface with a computer through playing out some behaviour in their mind. One of the most common examples (used for stroke rehabilitation and treatment of paediatric movement disorders) is to ask participants to imagine moving a character across a screen, while their brain activity is recorded using EEG, MEG or fMRI. An AI is then used to decode brain activity, and translate it into the intended action on the screen. Most often frameworks are trained and tested within the same individual due to significant heterogeneity in human brain organisation and information processing. This necessitates dense acquisition of data within each participant - which is expensive - while offering no guarantee that the model would generalise to new stimuli (not sampled during data collection). In recent work, we addressed these challenges, through design of a novel AI framework which models the spatio-temporal dynamics of human brain activity as a moving image across a cortical surface. This allows us to generalise fMRI decoding, for a movie watching task, to new brains and unseen stimuli - in a similar way to how image generation frameworks (such as Dall.E or Sora) synthesize highly realistic scenes or whole movies from user-generated captions. In this project, we plan to translate these benefits towards the development of tailored digital twins of EEG responses to motor action or imagery tasks, for the specific objective of tailoring neurofeedback therapy for children born severely disabling movement disorders such as dystonia and dystonic/dyskinetic cerebral palsy.
We are now accepting applications for 1 October 2025
How to apply
Candidates should possess or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, computer science, mathematics, statistics, data science, chemistry, physics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare.
Important information for International Students:
It is the responsibility of the student to apply for their Student Visa. Please note that the EPSRC DRIVE-Health studentship does not cover the visa application fees or the Immigration Health Surcharge (IHS) required for access to the National Health Service. The IHS is mandatory for anyone entering the UK on a Student Visa and is currently £776 per year for each year of study. Further detail can be found under the International Students tab below.
Next Steps
- Applications submitted by the closing date of Thursday 6 February 2025 will be considered by the CDT. We will contact shortlisted applicants with information about this part of the recruitment process.
- Candidates will be invited to attend an interview. Interviews are projected to take place in April 2025.
- Project selection will be through a panel interview chaired by either Professor Richard Dobson and Professor Vasa Curcin (CDT Directors) followed by informal discussion with prospective supervisors.
- If you have any questions related to the specific project you are applying for, please contact the main supervisor of the project directly.
For any other questions about the recruitment process, please email us at