Invasive EEG

Human invasive EEG recordings are used to guide clinical decision-making for epilepsy patients and offer an opportunity to better understand underlying neurophysiology. However, the relationship between macroscale electrophysiological recordings and underlying neural networks mechanisms remain unclear. Lundstrom et al [1,2] have shown that interictal (between-seizure) low frequency EEG activity (<1 Hz) is decreased at the seizure onset zone (SOZ), while higher frequency activity (1-50 Hz) is increased. These changes result in interictal power spectral densities (PSDs) with flattened slopes

The domain of computational neuroscience is one that is awash with data; be it from simulations or experiments, we try to extract patterns and make sense of them. However, two trends have emerged over the past decade. For one, datasets are rapidly increasing in scale, breadth and depth, as more research demands higher resolutions and longer time periods of recording. Two, computational research in the past few decades have attracted immense interest and is increasingly accessible to a greater diversity of people around the world. And, while the knowledge and skills involved in this domain is l