University of Twente Student Theses
Towards a Digital Twin of the Epileptic Brain Network in Patients with Medically Refractory Focal Epilepsy
Dirks, E.H.M. (2024) Towards a Digital Twin of the Epileptic Brain Network in Patients with Medically Refractory Focal Epilepsy.
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| Full Text Status: | Access to this publication is restricted |
| Embargo date: | 1 September 2026 |
| Abstract: | Abstract: 30-50% of patients with focal epilepsy do not become seizure-free after epilepsy surgery. Our ultimate goal is to develop a digital twin of the epileptic brain network to predict the optimal surgical strategy. This involves creating a computational model that accurately simulates the patient’s seizures to explore digital resection outcomes. We hypothesize that developing a patient-specific network based on single pulse electrical stimulation (SPES) measurements is a key step towards an autonomously seizure-producing digital twin. The physiological early responses (ERs) to SPES measure directed effective connectivity, while delayed responses (DRs) are designated as epileptic biomarkers, providing insights into the network's epileptogenicity. In our model, each electrocorticography (ECoG) channel was modeled by a neural mass model (NMM), and these NMMs were coupled based on the patient’s directed effective network derived from their ERs, yielding a patient-specific neural mass network. An optimization algorithm adjusted the network parameters by fitting ERs and DRs derived from patient data. To enhance DR simulations, the NMMs were coupled by feedforward inhibition, and background noise was added to each NMM. We accurately simulated the ERs and DRs within small patient-specific networks, achieving accuracies of 100%, 100%, and 75% for the three patients, respectively. |
| Item Type: | Essay (Master) |
| Faculty: | TNW: Science and Technology |
| Subject: | 44 medicine |
| Programme: | Technical Medicine MSc (60033) |
| Link to this item: | https://purl.utwente.nl/essays/101290 |
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