Separation of static and dynamic sources in absence epileptic seizures using depth cortical measurements

• Published in: Signal processing 2020-01, Vol.166, p.107235, Article 107235
• Main Authors: Akhavan, S., Phlypo, R., Kamarei, M., Soltanian-Zadeh, H., Jutten, C.
• Format: Article
• Language: English
• Subjects: Absence epilepsy; Computer Science; Dynamic sources; Dynamic structure; Seizure; Signal and Image Processing; Static sources; Static structure
• ISSN: 0165-1684; 1872-7557
• DOI: 10.1016/j.sigpro.2019.07.028

•Modeling absence seizures as a linear superposition of epileptic sources.•Dividing the sources to static and dynamic ones.•Achieving the spatio-temporal analysis of absence seizures. In this study, we analyze the absence epileptic seizures using the data recorded from different layers of somatosensory cortex of absence epileptic rats. We aim to (1) extract the epileptic activities or sources generating the seizures, and (2) investigate the temporal changes of seizures. To achieve our goals, we describe the recorded seizures by a linear superposition of static and dynamic sources. The static sources are stable and have a fixed structure, while the dynamic sources can be intermittent, and may be with different locations. Retrieving the sources and their structures from the recorded seizures helps us to achieve the desired analysis. Experimental results show the existence of a static source and three specific dynamic sources during the recorded seizures. The dynamic sources randomly activate with the static source and one of them disappears towards the end of the seizures. Moreover, it is shown that the spatial locations of the sources are similar in different absence epileptic rats.