Université´ D'aix-Marseille

Centre National De La Recherche Scientifique

Institut National De La Sante Et De La Recherche Medicale

Université D'aix-Marseille (Amu)

Assistance Publique - Hopitaux De Marseille (Ap-Hm)

Instit Nat De La Santé Et De La Recherche Médicale

Max-Planck-Gesellschaft Zur F&#xf6;rderung Der Wissenschaften E. V.

Baycrest Centre for Geriatric Care

Codebox Computerdienste Gmbh

Assistance Publique Hopitaux De Marseille

Viktor Jirsa

Fabrice Bartolomei

Christophe Bernard

Maxime Guye

Anthony Randal McIntosh

Jochen Mersmann

Petra Ritter

Sora An

Viktor Sip

The method of modulating epileptogenicity in a brain of an epileptic patient includes: providing a virtual brain; providing a model of an epileptogenic and of a propagation zones and loading the models in the virtual brain to create a virtual epileptic brain; acquiring data of the brain of the epileptic patient; identifying, in the data, a location of at least one possible epileptogenic zone; fitting the virtual epileptic brain against the data acquired from the epileptic patient and parametrizing the at least one possible epileptogenic zone in the virtual epileptic brain as an epileptogenic zone; and simulating, within the virtual epileptic brain, the effect of a network modulation mimicking a clinical intervention of the brain of the patient.

Method of modulating epileptogenicity in a patient's brain

The method for determining an onset time and an excitability of a brain region that is not observed as recruited or not recruited in a seizure activity of an epileptic patient brain includes: providing a dynamical model of a propagation of an epileptic seizure in the brain networks; providing a statistical model which defines the probability of generating sets of observations of the state of the brain networks by said dynamical model; training the dynamical model of the propagation of an epileptic seizure using the statistical model and the data set of observations of the training cohort; and inverting the trained dynamical model and inferring the onset time and excitability of a third region from the onset time that is observed for the first and second regions using the statistical model.

Method for determining an onset time and an excitability of a brain region

The method of identifying a potentially surgically operable target zone in an epileptic patient's brain includes: providing a computerized platform modelling various zones of a primate brain and connectivity between said zones; providing a model of an epileptogenic zone and a model of the propagation of an epileptic discharge from an epileptic zone to a propagation zone; obtaining a patient's personalized computerized platform; deriving the potential target zones based on modularity analysis; evaluating the target zones' effectiveness by simulating epileptic seizures propagation in the personalized patient's computerized platform; evaluating the target zones' safety by simulating spatiotemporal brain activation patterns in a defined state condition and comparing the simulated spatiotemporal brain activation patterns obtained before removal of the target zone with the spatiotemporal brain activation patterns obtained after removal of the target zone; identifying the target zones which satisfy both effectiveness and safety evaluation criteria as potentially surgically operable target zones.

Method of identifying a surgically operable target zone in an epileptic patient's brain

In one aspect the application relates to a computing system for providing data for modelling a human brain comprises a database including a plurality of datasets (or allow access to a plurality of datasets), each dataset including at least a dynamical model of the brain including at least one node and a neurodataset of a neuroimaging modality input. The at least one node include a representation of a local dynamic model and a parameter set of the local dynamic model.

Method and computing system for modelling a primate brain

The method of modulating epileptogenicity in a brain of an epileptic patient includes: providing a virtual brain; providing a model of an epileptogenic and of a propagation zones and loading the model in the virtual brain to create a virtual epileptic brain; acquiring data of the brain of the epileptic patient; identifying, in the data, a location of at least one possible epileptogenic zone; fitting the virtual epileptic brain against the data acquired from the epileptic patient and parametrizing the at least one possible epileptogenic zone in the virtual epileptic brain as an epileptogenic zone; and simulating, within the virtual epileptic brain, the effect of a network modulation mimicking a clinical intervention of the brain of the patient.

Growing community of inventors

Marseilles, France

Viktor Jirsa