Abstract: There is presented a system for estimating the change over time of a likelihood of future epileptiform activity of a patient. A memory stores a model for estimating the likelihood of epileptiform activity of the patient. The model is configured to use data representing coupled brain activity for a plurality of different brain regions of the patient. The coupled brain activity associated with a brain network. The processor is configured to determine one or more parameters for the model using one or more measurements of at least one physiological factor of the patient. The processor is configured to fit the model, using the one or more parameters, to at least a first value associated with likelihood of epileptiform activity derived from one or more measurements of the patient's brain activity; the one or more measurements of the patient's brain activity for determining the data representing coupled brain activity in the model.

Abstract: Assessing Susceptibility to Epilepsy and Epileptic Seizures A method and system adapted to assist with assessing susceptibility to epilepsy and/or epileptic seizures in a patient receives (202) patient brain data and generates (204) a network model from the received patient brain data. The system further generates (206) synthetic brain activity data in at least some of the nodes of the network model and computes (208) seizure frequency from the synthetic brain activity data by monitoring transitions from non-seizure states to seizures states in at least some of the nodes over time. The system further includes a device (104, 110) configured to use the seizure frequency to compute (210) a likelihood of susceptibility to epilepsy and/or epileptic seizures in the patient, and a device (104, 110) configured to compare (212) the computed likelihood with another likelihood of susceptibility to epilepsy and/or epileptic seizures in order to assess whether the likelihood has increased or decreased.

Abstract: Assessing Susceptibility to Epilepsy and Epileptic Seizures A method and system adapted to assist with assessing susceptibility to epilepsy and/or epileptic seizures in a patient receives (202) patient brain data and generates (204) a network model from the received patient brain data. The system further generates (206) synthetic brain activity data in at least some of the nodes of the network model and computes (208) seizure frequency from the synthetic brain activity data by monitoring transitions from non-seizure states to seizures states in at least some of the nodes over time. The system further includes a device (104, 110) configured to use the seizure frequency to compute (210) a likelihood of susceptibility to epilepsy and/or epileptic seizures in the patient, and a device (104, 110) configured to compare (212) the computed likelihood with another likelihood of susceptibility to epilepsy and/or epileptic seizures in order to assess whether the likelihood has increased or decreased. FIG.