Statistical Analysis of Brain Signals for Epileptology

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Focusing on the statistical analysis of brain signals in epilepsy patients, this book presents automated methods for identifying seizure onset zones and early seizure spread. It combines parametric and nonparametric spectral estimation, causality analysis, and factor analysis to improve the subjective and time-consuming visual inspection of brain signals. The methods target two patterns: rhythmic theta-activity and high-frequency oscillations (HFOs), with a detailed exploration of their spatial and temporal dependencies, supported by clinical comparisons.