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
Link To Document :
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