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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020571