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Effect of Vigilance Changes on the Incidence of High Frequency Oscillations in the Epileptic Brain

  • Amir F. Al-Bakri
  • , Farid Yaghouby
  • , Walter Besio
  • , Lei Ding
  • , Pradeep Modur
  • , Sridhar Sunderam

Producción científica: Conference contributionrevisión exhaustiva

6 Citas (Scopus)

Resumen

Recent studies show that the rate of cortical high frequency oscillations (HFOs) differentiates epileptogenic tissue in individuals with epilepsy. However, HFO occurrence can vary widely with vigilance state. In this study we attempt to characterize this variation, which has implications for the choice of a suitable diagnostic baseline for spatiotemporal analysis of HFO activity. We analyzed simultaneous recordings of the scalp electroencephalogram (EEG) and the electrocorticogram (ECoG) to examine the correlation of HFO activity with vigilance state. We detected HFOs (80-500 Hz) from all bipolar ECoG derivations using the well-known Staba algorithm in ten seizure-free overnight recordings from five patients being evaluated for surgery. In addition, we classified EEG features using a linkage tree into four vigilance states representing gradations in sleep depth from wakefulness to slow wave sleep. Finally, we examined the correlation between vigilance state and HFO occurrence in the five channels with the most HFOs in each recording. The proportion of 30-s epochs containing HFOs was found to increase significantly with sleep depth (p<0.01). Further analysis is necessary to examine the effects of epoch length and sample size in the choice of diagnostic baseline.

Idioma originalEnglish
Título de la publicación alojada40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Páginas991-994
Número de páginas4
ISBN (versión digital)9781538636466
DOI
EstadoPublished - oct 26 2018
Evento40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duración: jul 18 2018jul 21 2018

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volumen2018-July
ISSN (versión impresa)1557-170X

Conference

Conference40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
País/TerritorioUnited States
CiudadHonolulu
Período7/18/187/21/18

Nota bibliográfica

Publisher Copyright:
© 2018 IEEE.

Financiación

Supported in part by National Science Foundation Grant No. 1539068. Al-Bakri received scholarship support from the University of Babylon, Iraq.

FinanciadoresNúmero del financiador
University of Babylon
National Science Foundation (NSF)1539068

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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