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Network mOdel for MechAnism of epilepsy Dynamics

Project description

Modelling epileptic seizures

Epilepsy affects millions of people worldwide, yet the precise mechanisms driving seizure onset and spread remain poorly understood. Accurate models of seizure dynamics are essential for improving treatment and patient outcomes. With the support of the Marie Skłodowska-Curie Actions programme, the NOMAD project proposes to apply statistical physics to model seizure propagation across brain networks. Unlike previous approaches, the NOMAD model considers both inhibitory regulation and neural plasticity to more faithfully simulate real-world seizure dynamics. Researchers plan to use theoretical modeling and large-scale simulations and link predictions to patient-specific data. Collectively, the NOMAD study is expected to help towards personalised epilepsy treatment.

Objective

Epilepsy, characterized by recurrent seizures, is one of the most common neurological diseases globally affecting around 5 per 1000 people in Europe. Yet little is known about the exact mechanism of seizure and its relationship to pathological brain structure. From the clinical perspective, proposing the optimal surgical strategies and predicting the outcomes of surgeries are difficult due to the dynamic nature of epilepsy. The NOMAD project proposes novel network models of seizure propagation based on statistical physics, aiming at understanding the mechanism of the interplay between the brain network changes and seizure propagation, and improving the optimal surgical strategies.

Numerous studies have focused on characterizing the changes in the epileptic brain network via network analysis. However, due to the bias from different measurements and the arbitrariness of choices in diverse types of network analysis, there is considerable controversy in the conclusions. Recently, spreading models built on statistical physics for seizure have been proposed which are promising in predicting epileptic surgical outcomes, yet they are inefficient in surpassing clinical criteria.

Integrating recent advances in statistical physics and network science, NOMAD studies the fundamental roles of inhibitory regulations and plasticity in shaping seizure dynamics, which are neglected in previous studies. I will first study the critical dynamics of seizure on a theoretical model taking into account the role of inhibitory regulations and secondly, a computational framework considering in addition the effect of plasticity via large-scale Monte Carlo simulations. Lastly, I will apply the models to clinical data by predicting the seizure dynamics on brain networks constructed from clinical data and proposing optimal surgical strategies.

The project will provide new insights into understanding the mechanism of epilepsy and potentially new tools to enhance epilepsy surgical outcomes.

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Topic(s)

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

UNIVERSIDAD DE GRANADA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 194 074,56
Address
CUESTA DEL HOSPICIO SN
18071 GRANADA
Spain

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Region
Sur Andalucía Granada
Activity type
Higher or Secondary Education Establishments
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Total cost

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Partners (1)

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