Literature DB >> 18002842

Narrowband vs. broadband phase synchronization analysis applied to independent components of ictal and interictal EEG.

Disha Gupta1, Christopher J James.   

Abstract

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.

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Year:  2007        PMID: 18002842     DOI: 10.1109/IEMBS.2007.4353176

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Classification for Memory Activities: Experiments and EEG Analysis Based on Networks Constructed via Phase-Locking Value.

Authors:  Jing Xi; Xiao-Lin Huang; Xing-Yan Dang; Bin-Bin Ge; Ying Chen; Yun Ge
Journal:  Comput Math Methods Med       Date:  2022-06-28       Impact factor: 2.809

Review 2.  Detecting seizure origin using basic, multiscale population dynamic measures: preliminary findings.

Authors:  A K Roopun; R D Traub; T Baldeweg; M O Cunningham; R G Whittaker; A Trevelyan; R Duncan; A J C Russell; M A Whittington
Journal:  Epilepsy Behav       Date:  2008-10-31       Impact factor: 2.937

3.  A novel segmentation, mutual information network framework for EEG analysis of motor tasks.

Authors:  Z Jane Wang; Pamela Wen-Hsin Lee; Martin J McKeown
Journal:  Biomed Eng Online       Date:  2009-05-04       Impact factor: 2.819

  3 in total

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