The Virtual Epileptic Patient: Individualized whole‐brain models of epilepsy spread

By Viktor Jirsa, T. Proix, Dionysios Perdikis, Michael Marmaduke Woodman, Huifang E. Wang, J. González-Martínez, Christophe Bernard, C. Bénar, Maxime Guye, P. Chauvel and 1 more. NeuroImage, 2017

399 citations recorded by the source corpus.

ABSTRACT Individual variability has clear effects upon the outcome of therapies and treatment approaches. The customization of healthcare options to the individual patient should accordingly improve treatment results. We propose a novel approach to brain interventions based on personalized brain network models derived from non‐invasive structural data of individual patients. Along the example of a patient with bitemporal epilepsy, we show step by step how to develop a Virtual Epileptic Patient (VEP) brain model and integrate patient‐specific information such as brain connectivity, epileptogenic zone and MRI lesions. Using high‐performance computing, we systematically carry out parameter space explorations, fit and validate the brain model against the patient's empirical stereotactic EEG (SEEG) data and demonstrate how to develop novel personalized strategies towards therapy and intervention. HighlightsA novel approach to brain interventions is proposed based on personalized large‐scale brain network models.The approach relies on the fusion of structural data of individual patients and mathematical modeling of brain activations.Personalization is achieved by integrating patient specific brain connectivity, epileptogenic zone and MRI lesions.High‐performance computing enables systematic parameter space explorations, fitting and validation of the brain model.Large‐scale brain models foster the development of personalized strategies towards therapy and intervention.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/b2f90135f151593d4098dfa20e57fbac3e8b1e25

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Michael Breakspear
2. Andrew Zalesky
3. Luca Cocchi
4. Leonardo L. Gollo
5. Huifang E. Wang
6. Olaf Sporns
7. D. Bassett
8. Karl J. Friston

In Radiology, Nuclear Medicine and Imaging

1. Michael Breakspear
2. Andrew Zalesky
3. Leonardo L. Gollo
4. Luca Cocchi
5. Olaf Sporns
6. D. Bassett
7. E. Bullmore

Citations in the corpus

• Criticality in the brain: A synthesis of neurobiology, models and cognition. (2017, positive): “…these has recently been advanced using bifurcations: This “epileptor” - a set of equations that express the corresponding nested bifurcations - represents a comprehensive integration of slow and fast time scales underlying criticality and bifurcations in seizure activity (Jirsa et al., 2017, 2014).”
• Dynamic models of large-scale brain activity (2017, background): “It has recently been proposed that the spread of seizure activity from a primary zone reflects dynamics in epi-leptogenic networks of NMMs 121,122 ( Fig.”
• Effects of the spatial resolution of the Virtual Epileptic Patient on the identification of epileptogenic networks (2024, methodology): “…on its excitability u 0 , the system could exhibit different stability regimes, as described in previous studies ( Proix et al., 2014; V. K. Jirsa et al., 2017) and used in previous simulation and inference investigations ( Hashemi et al., 2020, 2021; Jha et al., 2022; Vattikonda et al.,…”