Epilepsy is a brain disorder characterised by sudden, unexpected seizures which disrupt normal brain function. Patients often show abnormalities on EEG and MRI. I will begin my talk with some observations on the spatio-temporal dynamics of epileptic seizures from intracranial EEG and present a simple dynamical (neural population) model that explain these observations.
I will continue to show that these observations must be refined to be clinically useful on an individual patient basis. To refine the observations, I will show some recent analyses of spatio-temporal dynamics during epileptic seizures, but also in the interictal periods between seizures in individual patients.
Our analyses demonstrate that spatio-temporal brain dynamics contain useful information to support clinical treatment of individual patients. However, to make this important translational step, I will argue that it will be crucial to consider patient-specific modulations that fluctuate on different time-scales.
References: Schroeder, Gabrielle M., et al. "Seizure pathways change on circadian and slower timescales in individual patients with focal epilepsy." Proceedings of the National Academy of Sciences (2020): 11048-11058.
Wang, Yujiang, et al. "Interictal intracranial electroencephalography for predicting surgical success: The importance of space and time." Epilepsia.
Wang, Yujiang, et al. "Mechanisms underlying different onset patterns of focal seizures." PLoS computational biology (2017): e1005475.
Send your questions to our Q & A Space: https://neurostars.org/t/workshop-spatiotemporal-dynamics-in-neuroimaging-models-and-analysis-q-a/7608?u=psanzleon
