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Clinical utility of advanced neuroimaging modalities for epilepsy surgery assessment

Gavin Winston, Andrea Ellsay, Lysa Boissé Lomax et al. · FENS Forum 2024

…suitable candidates and localizing the epileptogenic zone remain significant challenges. We introduce and evaluate the clinical utility of three advanced neuroimaging techniques developed at established epilepsy surgery centers in the pre-surgical assessment at the recently designated District Epilepsy Center, Kingston Health Sciences Center (KHSC).Methods: Patients in the pre-surgical pathway were discussed in multidisciplinary team (MDT) meetings (n

ePoster · Neuroscience

Individualized interictal epileptiform discharges detector

Mathias Peuvrier, Isabelle Merlet, Fabrice Bartolomei, Fabrice Wendling · FENS Forum 2024

…the diagnosis, the localization of the epileptogenic zone and the monitoring of treatment. The gold standard to detect IEDs is the visual inspection of EEGs, performed by clinical experts. However, this task is time-consuming, prone to human error and subjectivity, and suffers from intra and inter-observer variability.This motivates the development of automated IED detectors. Researchers have explored various methods, from classical signal

ePoster · Neuroscience

Digital Twins in Brain Medicine

Viktor Jirsa · CNRS, Marseille

Over the past decade we have demonstrated that the fusion of subject-specific structural information of the human brain with mathematical dynamic models allows building biologically realistic brain network models, which have a predictive value, beyond the explanatory power of each approach independently. The network nodes hold neural population models, which are derived using mean field techniques from statistical physics expressing ensemble activity via collective variables. Our hybrid approach fuses data-driven with forward-modeling-based techniques and has been successfully applied to expla

Wed, Dec 6, 2023 · 16:00 UTC

Seminar · Computational Neuroscience

Virtual Brain Twins for Brain Medicine and Epilepsy

Viktor Jirsa · Aix Marseille Université - Inserm

Over the past decade we have demonstrated that the fusion of subject-specific structural information of the human brain with mathematical dynamic models allows building biologically realistic brain network models, which have a predictive value, beyond the explanatory power of each approach independently. The network nodes hold neural population models, which are derived using mean field techniques from statistical physics expressing ensemble activity via collective variables. Our hybrid approach fuses data-driven with forward-modeling-based techniques and has been successfully applied to expla

Wed, Nov 8, 2023 · 18:00 UTC

Seminar · Computational Neuroscience

In epilepsy research, a holy grail has been the identification and understanding of the "epileptogenic zone" - operationally defined as the (minimal) area or region of the brain is indispensible for the generation of epileptic seizures. The identification of the epileptogenic zone is particularly important for surgical treatments of focal epilepsy patients, but I will highlight some recent clinical, experimental and theoretical work showing that it is also fundamentally linked with our understanding of epilepsy and seizures. I will conclude with a proposal for an updated understanding of the e

Wed, Dec 14, 2022 · 18:00 UTC

Seminar · Clinical Neurology