TY - JOUR T1 - Narrowband vs. broadband phase synchronization analysis applied to independent components of ictal and interictal EEG. JF - Conf Proc IEEE Eng Med Biol Soc Y1 - 2007 A1 - Disha Gupta A1 - Christopher J James KW - Algorithms KW - Electroencephalography KW - Humans KW - Predictive Value of Tests KW - Seizures KW - Signal Processing, Computer-Assisted AB - This paper presents a comparison of the use of broadband and narrow band signals for phase synchronization analysis as applied to Independent Components of ictal and interictal scalp EEG in the context of seizure onset detection and prediction. Narrow band analysis for phase synchronization is found to be better performed in the present context than the broad band signal analysis. It has been observed that the phase synchronization of Independent Components in a narrow band (particularly the Gamma band) shows a prominent trend of increasing and decreasing synchronization at seizure onset near the epileptogenic area (spatially). This information is not always found to be consistent in analysis with the raw EEG signals, which may show spurious synchronization happening due to volume conduction effects. These observations lead us to believe that tracking changes in phase synchronization of narrow band activity, on continuous data records will be of great value in the context of seizure prediction. VL - 2007 UR - http://www.ncbi.nlm.nih.gov/pubmed/18002842 ER -