Functional Brain Connectivity from EEG in Epilepsy: Seizure Prediction and Epileptogenic Focus Localization Pieter van Mierlo a,∗ , Margarita Papadopoulou b , Evelien Carrette c , Paul Boon c , Stefaan Vandenberghe a , Kristl Vonck c , Daniele Marinazzo b a Medical Imaging and Signal Processing Group, Department of Electronics and Information Systems, Ghent University - iMinds Medical IT Department, Ghent, Belgium b Department of Data Analysis, Faculty of Psychology and Pedagogical Sciences, Ghent University, Ghent, Belgium c Laboratory for Clinical and Experimental Neurophysiology, Neurobiology and Neuropsychology, Ghent University, Ghent, Belgium Abstract Today, neuroimaging techniques are frequently used to investigate the integration of functionally specialized brain regions in a network. Func- tional connectivity, which quantifies the statistical dependencies among the dynamics of simultaneously recorded signals, allows to infer the dynamical interactions of segregated brain regions. In this review we discuss how the functional connectivity patterns obtained from intracranial and scalp elec- troencephalographic (EEG) recordings reveal information about the dynam- ics of the epileptic brain and can be used to predict upcoming seizures and to localize the seizure onset zone. The added value of extracting information that is not visibly identifiable in the EEG data using functional connectivity * Corresponding author. Medical Imaging and Signal Processing Group, Department of Electronics and Information Systems, Ghent University - iMinds Medical IT Department, Ghent, Belgium Email address: Pieter.vanMierlo@UGent.be (Pieter van Mierlo) Preprint submitted to Progress in Neurobiology June 21, 2014