DocumentCode
1995800
Title
Cross-correlation analysis of epileptiform propagation using wavelets
Author
Bahcivan, Hasan ; Zhang, Ning ; Mirski, Marek A. ; Sherman, David
Author_Institution
Dept. of Biomed. Eng., Johns Hopkins Univ. Sch. of Med., Baltimore, MD, USA
Volume
2
fYear
2001
fDate
2001
Firstpage
1804
Abstract
We have analyzed cortical and subcortical field recordings from spatially distinct neural circuits in order to support the hypothesis that spatially distinct brain locations display correlated ictal activity during epileptic seizures. Field recordings have been obtained from cortex (CTX), anterior thalamic nuclei (AN), posterior thalamus (PT) and hippocampus (HPC) during pentylenetetrazol (PTZ) seizures in anesthetized animals. We use Wavelet Transform Cross-Correlation (WTCC) method in order to quantify the common activity between two recordings at particular bands of interest. In contrary to Fourier Transform Coherence (FTC), we show that WTCC provides a more reliable estimate or band-specific common activity or cross-coherence between two epileptic sources. Although most of the signal power is located at higher frequencies (15-30 Hz), results from WTCC reveal significant mean cross-correlation estimates (∼0.7-0.8) at primarily the lower regions of the spectrum (0-10 Hz). The behavior observed in the brain recordings analyzed in this paper lets us differentiate between local and global behavior, where the global behavior is assumed to be due to a pacemaker function which is a quasi-periodic train of impulse functions that differentially excites various areas of the brain.
Keywords
correlation methods; electroencephalography; medical signal processing; time-domain analysis; wavelet transforms; EEG data; anterior thalamic nuclei; band-specific common activity; coherence analysis; correlated ictal activity; cortical field recordings; cross-correlation analysis; distinct brain locations; epileptiform propagation; hippocampus; impulse functions; pacemaker function; pentylenetetrazol seizures; posterior thalamus; spatially distinct neural circuits; subcortical field recordings; wavelet analysis; Animals; Circuits; Coherence; Displays; Epilepsy; Fourier transforms; Frequency estimation; Hippocampus; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1020571
Filename
1020571
Link To Document