University of Twente Student Theses
Towards the virtual twin of epileptic patients with DBS : Modelling personalised epileptiform dynamics in The Virtual Brain framework using simulation-based inference
Morsink, Elike (2025) Towards the virtual twin of epileptic patients with DBS : Modelling personalised epileptiform dynamics in The Virtual Brain framework using simulation-based inference.
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| Abstract: | Epilepsy is a chronic neurological disorder characterised by recurrent seizures. This study explored how a personalised whole-brain model generating epileptiform activity in The Virtual Brain (TVB) platform can be constructed while enabling electrophysiological data for subsequent data-fitting methods. A build-up of the TVB involves a network-based approach, where structural connectivity from neuroimaging data and mesoscopic models are used to generate synthetic macroscopic signals comparable to empirical data. Altogether, this formed the TVB-Epileptor model. With simulation-based inference (SBI), we applied a data-fitting method based on neural network training to detect parameter configurations that allowed patient-specific simulations. Three separate SBI analyses were conducted by training three neural networks. These findings highlight the ability to combine TVB and SBI to examine parameter op- timisation using SBI based on real epileptiform data. However, the results underscore the need for methodological refinements of the TVB-Epileptor to capture broader empirical EEG characteristics. Exploring the integration of different or complementary modelling frameworks should be involved to improve the biological realism, flexibility, and accuracy of the personalised TVB- Epileptor model. |
| Item Type: | Essay (Master) |
| Faculty: | TNW: Science and Technology |
| Subject: | 31 mathematics, 42 biology, 54 computer science |
| Programme: | Biomedical Engineering MSc (66226) |
| Link to this item: | https://purl.utwente.nl/essays/105340 |
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