Epileptic seizure onset correlates with long term EEG functional brain network properties
Autor: | Anastasiadou, M., Hadjipapas, A., Christodoulakis, M., Papathanasiou, E. S., Papacostas, S. S., Mitsis, Georgios D. |
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Přispěvatelé: | Mitsis, Georgios D. [0000-0001-9975-5128] |
Rok vydání: | 2016 |
Předmět: |
Nerve net
Electroencephalography 01 natural sciences 010305 fluids & plasmas Correlation 03 medical and health sciences Epilepsy 0302 clinical medicine 0103 physical sciences medicine Humans Clustering coefficient medicine.diagnostic_test Brain medicine.disease Degree (music) Term (time) medicine.anatomical_structure Epileptic seizure Nerve Net medicine.symptom Psychology Neuroscience 030217 neurology & neurosurgery |
Zdroj: | EMBC Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
Popis: | We investigated the correlation of epileptic seizure onset times with long term EEG functional brain network properties. To do so, we constructed binary functional brain networks from long-term, multichannel electroencephalographic data recorded from nine patients with epilepsy. The corresponding network properties were quantified using the average network degree. It was found that the network degree (as well as other network properties such as the network efficiency and clustering coefficient) exhibited large fluctuations over time; however, it also exhibited specific periodic temporal structure over different time scales (1.5hr-24hr periods) that was consistent across subjects. We investigated the correlation of the phases of these network periodicities with the seizure onset by using circular statistics. The results showed that the instantaneous phases of the 3.5hr, 5.5hr, 12hr and 24hr network degree periodic components are not uniformly distributed, suggesting that functional network properties are related to seizure generation and occurrence. |
Databáze: | OpenAIRE |
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