CORDIS Project
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The project focuses on developing a machine learning tool to detect interictal epileptic discharges non-invasively in the medial temporal lobe during sleep. This advancement aims to improve diagnosis and treatment for epilepsy and related neurological conditions.
Interictal epileptic discharges (IEDs) are pathological brain activities involving sharp spikes in electrical field potentials that occur preferentially during sleep.
In epilepsy, IEDs occur between seizures, and often in deep brain regions such as the medial temporal lobe (MTL).IEDs during sleep disrupt memory and are associated with cognitive impairments.
Importantly, MTL IEDs occur not only in epilepsy but also in multiple neuropsychiatric conditions including Alzheimers Disease (AD), Autism,…
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