Project ID iCASE2023_09

ThemeBE-MI

Co Supervisor 1A Faculty of Life Sciences & Medicin, Biomedical Engineering and Imaging SciencesWebsite

Co Supervisor 1B Faculty of Life Sciences & Medicine, School of Biomedical Engineering and Imaging Sciences, Department of Biomedical EngineeringWebsite

Partner Brain Products GmbH

Better localisation for epilepsy surgery by optimising simultaneous EEG and functional MRI recordings at 7T

Partner: Brain Products GmbH 

3rd Supervisor: Tracy Warbrick 

Project:

For adults and children with focal epilepsy, surgical removal of the brain region responsible for seizure generation is the only possible complete cure. This can remove dependence on medication, and dramatically improve quality of life. Surgical success relies on accurate localisation of the generators of epileptic activity via imaging techniques such as MRI and electroencephalography (EEG). These two key modalities can be combined; epileptic activity measured in EEG is used as a model of expected changes in functional MRI timeseries. This provides a high spatial resolution map showing the areas with signal changes associated with the epileptic activity that has been shown to be a useful localisation method(1). However, EEG-fMRI is limited by fMRI sensitivity that typically measures signal changes of 1-2%. Ultra-high field 7T MRI offers a solution because fMRI signal changes are substantially increased to 5-10% and this could dramatically improve the technique’s sensitivity and spatial specificity. However, simultaneous EEG-fMRI at 7T is a significant technical challenge.

This project will redesign and test EEG for use at within 7T MRI. This will allow its use in patient populations such as Epilepsy as described above, but also enable a wide range of neuroscience applications including the study of sleep at 7T. This will include design and testing to investigate tissue heating and EEG system design solutions to mitigate this risk. Further, the impact of each modality on the other in terms of data quality will be characterised and the EEG system hardware configuration redesigned to optimise signal quality. This may also encompass potential algorithmic development to improve image quality, including AI methods to improve upon current denoising approaches. Having optimised 7T EEG-fMRI an initial pilot investigation of its utility in epilepsy is envisaged.

This project benefits from being sponsored by and involving close collaboration with an industry partner (Brain Products, GmBH) the market leader in research EEG-fMRI equipment. In addition to providing hardware and expertise via PhD supervision they will also provide a unique opportunity for a placement embedded within their technical team. This will be designed to maximise the students experience and development with opportunities to work with the Brain Products team in Germany.

The student will have access to the extensive training resources provided by Brain Products for EEG-fMRI in addition to the technical and scientific support teams. This project will provide extensive training, opportunities, and technical knowledge in human brain imaging (MRI) and electrophysiology, signal processing and the application of machine learning and AI in this domain. The applicant will also gain experience of clinical neuroscience.

This project can suit a wide range of potential backgrounds from highly numerate and/or computer literate backgrounds including physics, engineering, maths, computer science or neuroscience.

References:

[1] Centeno M, Tierney TM, Perani S, Shamshiri EA, St Pier K, Wilkinson C, Konn D, Vulliemoz S, Grouiller F, Lemieux L, Pressler RM, Clark CA, Cross JH, Carmichael DW. Combined electroencephalography-functional magnetic resonance imaging and electrical source imaging improves localization of pediatric focal epilepsy. Ann Neurol. 2017 Aug;82(2):278-287.

One representative publication from each co-supervisor:

Centeno M, Tierney TM, Perani S, Shamshiri EA, St Pier K, Wilkinson C, Konn D, Vulliemoz S, Grouiller F, Lemieux L, Pressler RM, Clark CA, Cross JH, Carmichael DW. Combined electroencephalography-functional magnetic resonance imaging and electrical source imaging improves localization of pediatric focal epilepsy. Ann Neurol. 2017 Aug;82(2):278-287.

Thanh Phong, L, Gruetter, R, Jorge, J & Ipek, Ö 2022, ‘Segmenting electroencephalography wires reduces radiofrequency shielding artifacts in simultaneous electroencephalography and functional magnetic resonance imaging at 7 T’, Magnetic Resonance in Medicine, vol. 88, no. 3, pp. 1450-1464. https://doi.org/10.1002/mrm.29298