Cross-correlation analysis of epileptiform propagation using wavelets

• Published in: 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2; pp. 1804 - 1807 vol.2
• Main Authors: Bahcivan, H., Ning Zhang, Mirski, M.A., Sherman, D.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2001
• Subjects: Animals; Circuits; Coherence; Displays; Epilepsy; Fourier transforms; Frequency estimation; Hippocampus; Wavelet analysis; Wavelet transforms
• DOI: 10.1109/IEMBS.2001.1020571
• EISSN: 1558-4615
• ISBN: 9780780372115; 0780372115
• ISSN: 1094-687X

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 (/spl sim/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.