Resumen de Analysis of human intracranial recordings for clinical and cognitive studies
Intracranial electroencephalography (iEEG) is an invasive diagnostic procedure used in severe drug-resistant epilepsy patients that provides simultaneous recordings of multiple brain regions at a very high temporal resolution. In this thesis, we investigate how a number of computational approaches can be used to analyze human intracranial recordings to shed light on specific questions of both clinical and cognitive nature. With this regard, we first conceptualize the problem of mapping human brain networks from EEG with existing data-driven and model-based methods. Building on recent advances, we propose a new strategy to detect the epileptic focus based on a seizure-specific identification of spectral patterns in the time and frequency domains. Along the cognitive line, we develop a novel analytical framework relying on intracranial recordings to assess the level of influence of local neural activations on the brain’s global state during cognition.
