Characterising the dynamics of EEG waveforms as the path through parameter space of a neural mass model: Application to epilepsy seizure evolution

► We develop a novel method for estimation of model parameters from EEG. ► The framework can usefully be applied in a wide variety of macroscale brain research. ► The outcome helps to characterise the dynamic transitions observed in EEG. ► Evolution of model parameters over time may inform clinical decisions.