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Independent component analysis of ictal EEG in medial temporal lobe epilepsy
Hyunwoo Nam1, Tae-Gyu Yim, Seung Kee Han
1Department of Neurology, College of Medicine, Seoul National University, Seoul, Korea.
Purpose:
Application of independent component analysis (ICA) to interictal EEGs and to event-related potentials has helped noise reduction and source localization. However, ICA has not been used for the analysis of ictal EEGs in partial seizures. In this study, we applied ICA to the ictal EEGs of patients with medial temporal lobe epilepsy (TLE) and investigated whether ictal components can be separated and whether they indicate correct lateralization.
Methods:
Twenty-four EEGs from medial TLE patients were analyzed with the extended ICA algorithm. Among the resultant 20 components in each EEG, we selected components with an ictal nature and reviewed their corresponding topographic maps for the lateralization. We then applied quantitative methods for the verification of increased quality of the reconstructed EEGs.
Results:
All ictal EEGs were successfully decomposed into one or more ictal components and nonictal components. After EEG reconstruction with exclusion of artifacts, the lateralizing power of the ictal EEG was increased from 75 to 96%.
Conclusions:
ICA can separate successfully the manifold components of ictal rhythms and can improve EEG quality.