• DocumentCode
    3393362
  • Title

    Identification of seizure pathways by spectral analysis of EEG

  • Author

    Tsai, Yien Che ; Sherman, David L. ; Rossell, Lisa Ann ; Mirski, Marek A. ; Thalkor, N.V.

  • Author_Institution
    Dept. of Biomed. Eng., Johns Hopkins Univ., Baltimore, MD, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    20-23 Sep 1995
  • Firstpage
    897
  • Abstract
    The authors hypothesize that anterior thalamus, a subcortical center important for seizure expression, exhibits high signal coherence with cortex during a clonic seizure expression. In addition, the partial coherence would not vanish when the effects of an inert center are removed by a partial regression analysis. Generalized seizures are induced in rats (n=6) using pentylentetrazol (PTZ) and EEG recorded from cortical and subcortical sites. Statistical analysis of coherence and partial coherence indicates that anterior thalamic and cortical EEG are highly coherent during a clonic seizure expression. Coherence analysis can therefore provide details of the pathway for the spread of seizure activities between subcortical and cortical brain
  • Keywords
    electroencephalography; medical signal processing; spectral analysis; statistical analysis; EEG spectral analysis; anterior thalamic EEG; clonic seizure expression; cortical EEG; cortical sites; electrodiagnostics; inert center effects; partial coherence; partial regression analysis; pentylentetrazol; rats; seizure pathways identification; subcortical sites; Analysis of variance; Biomedical engineering; Electroencephalography; Lesions; Medical treatment; Rats; Regression analysis; Rodents; Spectral analysis; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-2475-7
  • Type

    conf

  • DOI
    10.1109/IEMBS.1995.579259
  • Filename
    579259