Spatiotemporal computational neuroimaging methods (EEG, MEG, MRI, etc) in epilepsy
One of the challenges in epileptology is the increase of insight into the spatiotemporal dynamics of the epileptogenic process. Multimodal techniques (such as Electroencephalography (EEG) and Magneto-encephalography (MEG), Biosignals (ECG, EMG, EOG), as well as spatial neuroimaging methods) are well established approaches that are adopted widely in both clinical practice and research community. These approaches seem to complement each other for the anticipation of interictal/preictal/ictal epileptic patterns as well as to the source localization or seizure evolution. This can lead to information with predictive evidence of an impending seizure. In this session, advanced computational EEG, MEG or combined techniques will be presented along with their application in real clinical data. The presentations focus on method development and clinical application for the determination of a pre-ictal state and the characterization of its different temporal and spatial aspects.
|Paper Submission Deadline||August 5, 2019|
|Paper Notification||August 20, 2019|
|Paper Camera-Ready Paper Submission||August 30, 2019|
Giorgos Giannakakis received his Dipl. Ing. in Electrical and Computer Engineering from the National Technical University of Athens (NTUA) in 2003, his M.Sc. and Ph.D. in Biomedical Engineering from the School of Medicine of the University of Patras – School of Electrical and Computer Engineering, NTUA in 2005 and 2009 respectively. From 2005 to 2009, he has worked as scientific associate at the Institute of Communications and Computer Systems (ICCS) in Athens. Since November 2012, he is research associate at the Institute of Computer Science of the Foundation for Research and Technology – Hellas (FORTH). He has been awarded the honorary praise of the best interdisciplinary diploma thesis in NTUA (2003) and the Greek State post-doctoral scholarship (2017). His research interests include the areas of biosignal processing and analysis, computer vision, affective computing and computational neuroscience.
Marios Antonakakis is currently Ph.D. student in Institute for Biomagnetism and Biosignal Analysis (IBB), University of Muenster and fellow of the Onassis Scholarship Foundation. From 2016 to 2018, he was one of the 15 Early Stage Researchers of the Horizon2020 Marie Skłodowska-Curie Action (MSCA) Innovative Training Network (ITN) – European Training Network (ETN), ChildBrain (www.childbrain.eu). He received his Master and Diploma degree in Electrical and Computer Engineering from the Technical University of Crete in 2015 and 2013, respectively. His research interests include biosignal and biomedical image processing and analysis, modeling of realistic volume conductor models, dynamic functional and effective connectivity, developing of new EEG and MEG inverse source analysis tools for neuroimaging with highest temporal and spatial accuracies and apply the new methods to somatosensory experiments and in pre-surgical epilepsy diagnosis.