Personalised virtual brain models in epilepsy

V Jirsa, H Wang, P Triebkorn, M Hashemi… - The Lancet …, 2023 - thelancet.com
Individuals with drug-resistant focal epilepsy are candidates for surgical treatment as a
curative option. Before surgery can take place, the patient must have a presurgical …

Virtual epileptic patient brain modeling: Relationships with seizure onset and surgical outcome

J Makhalova, S Medina Villalon, H Wang… - …, 2022 - Wiley Online Library
Objective The virtual epileptic patient (VEP) is a large‐scale brain modeling method based
on virtual brain technology, using stereoelectroencephalography (SEEG), anatomical data …

Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy

HE Wang, M Woodman, P Triebkorn… - Science Translational …, 2023 - science.org
Precise estimates of epileptogenic zone networks (EZNs) are crucial for planning
intervention strategies to treat drug-resistant focal epilepsy. Here, we present the virtual …

Individual brain structure and modelling predict seizure propagation

T Proix, F Bartolomei, M Guye, VK Jirsa - Brain, 2017 - academic.oup.com
Abstract See Lytton (doi: 10.1093/awx018) for a scientific commentary on this article. Neural
network oscillations are a fundamental mechanism for cognition, perception and …

[HTML][HTML] The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain …

M Hashemi, AN Vattikonda, V Sip, M Guye… - NeuroImage, 2020 - Elsevier
Despite the importance and frequent use of Bayesian frameworks in brain network modeling
for parameter inference and model prediction, the advanced sampling algorithms …

[HTML][HTML] The virtual epileptic patient: individualized whole-brain models of epilepsy spread

VK Jirsa, T Proix, D Perdikis, MM Woodman, H Wang… - Neuroimage, 2017 - Elsevier
Individual variability has clear effects upon the outcome of therapies and treatment
approaches. The customization of healthcare options to the individual patient should …

Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling

N Sinha, J Dauwels, M Kaiser, SS Cash… - Brain, 2017 - academic.oup.com
Abstract See Eissa and Schevon (doi: 10.1093/aww332) for a scientific commentary on this
article. Surgery can be a last resort for patients with intractable, medically refractory epilepsy …

Brain imaging in the assessment for epilepsy surgery

JS Duncan, GP Winston, MJ Koepp… - The Lancet …, 2016 - thelancet.com
Brain imaging has a crucial role in the presurgical assessment of patients with epilepsy.
Structural imaging reveals most cerebral lesions underlying focal epilepsy. Advances in MRI …

[HTML][HTML] Optimization of surgical intervention outside the epileptogenic zone in the Virtual Epileptic Patient (VEP)

S An, F Bartolomei, M Guye, V Jirsa - PLoS computational biology, 2019 - journals.plos.org
Studies to improve the efficacy of epilepsy surgery have focused on better refining the
localization of the epileptogenic zone (EZ) with the aim of effectively resecting it. However, in …

[HTML][HTML] Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference

AN Vattikonda, M Hashemi, V Sip… - Communications …, 2021 - nature.com
Focal drug resistant epilepsy is a neurological disorder characterized by seizures caused by
abnormal activity originating in one or more regions together called as epileptogenic zone …