Recursive independent component analysis (ICA)-decomposition of ictal EEG to select the best ictal component for EEG source imaging
| Autor: | Shahrul Bahyah Kamaruzzaman, Fatimah Ibrahim, Mas S. Mohktar, Kheng Seang Lim, Mohammad Ashfak Habib |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male Computer science Electroencephalography 050105 experimental psychology Young Adult 03 medical and health sciences 0302 clinical medicine Seizures Physiology (medical) Component (UML) medicine Humans 0501 psychology and cognitive sciences Ictal Epilepsy surgery Source imaging Retrospective Studies Brain Mapping Epilepsy medicine.diagnostic_test business.industry 05 social sciences Brain Ictal eeg Pattern recognition Middle Aged Epileptogenic zone Independent component analysis Sensory Systems Neurology Female Neurology (clinical) Artificial intelligence business 030217 neurology & neurosurgery |
| Zdroj: | Clinical Neurophysiology. 131:642-654 |
| ISSN: | 1388-2457 |
| DOI: | 10.1016/j.clinph.2019.11.058 |
| Popis: | Objective This study aimed to present a new ictal component selection technique, named as recursive ICA-decomposition for ictal component selection (RIDICS), for potential application in epileptogenic zone localization. Methods The proposed technique decomposes ictal EEG recursively, eliminates a few unwanted components in every recursive cycle, and finally selects the most significant ictal component. Back-projected EEG, regenerated from that component, was used for source estimation. Fifty sets of simulated EEGs and 24 seizures in 8 patients were analyzed. Dipole sources of simulated-EEGs were compared with a known dipole location whereas epileptogenic zones of the seizures were compared with their corresponding sites of successful surgery. The RIDICS technique was compared with a conventional technique. Results The RIDICS technique estimated the dipole sources at an average distance of 12.86 mm from the original dipole location, shorter than the distances obtained using the conventional technique. Epileptogenic zones of the patients, determined by the RIDICS technique, were highly concordant with the sites of surgery with a concordance rate of 83.33%. Conclusions Results show that the RIDICS technique can be a promising quantitative technique for ictal component selection. Significance Properly selected ictal component gives good approximation of epileptogenic zone, which eventually leads to successful epilepsy surgery. |
| Databáze: | OpenAIRE |
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