Learning from structured EEG and fMRI data supporting the diagnosis of epilepsy (2014)
Abstract / truncated to 115 words
Epilepsy is a neurological condition that manifests in epileptic seizures as a result of an abnormal, synchronous activity of a large group of neurons. Depending on the affected brain regions, seizures produce various severe clinical symptoms. Epilepsy cannot be cured and in many cases is not controlled by medication either. Surgical resection of the region responsible for generating the epileptic seizures might offer remedy for these patients. Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) measure the changes of brain activity in time over different locations of the brain. As such, they provide valuable information on the nature, the timing and the spatial origin of the epileptic activity. Unfortunately, both techniques record activity of different ... toggle 8 keywordsblind source separation – low rank structure – tensor decomposition – EEG – fmri – epilepsy – biomedical signal processing – machine learning
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