Cross-correlation analysis of epileptiform propagation using wavelets

Hasan Bahcivan, Ning Zhang, Marek A Mirski, David Sherman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 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 of band-specific common activity or cross-coherence between two epileptic sources. Although most of the signal power is located at higher frequencies (15-30Hz), results from WTCC reveal significant mean cross-correlation estimates (∼0.7-0.8) at primarily the lower regions of the spectrum (0-10Hz). 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.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages1804-1807
Number of pages4
Volume2
StatePublished - 2001
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: Oct 25 2001Oct 28 2001

Other

Other23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryTurkey
CityIstanbul
Period10/25/0110/28/01

Fingerprint

Wavelet transforms
Brain
Pacemakers
Correlation methods
Fourier transforms
Animals
Networks (circuits)

Keywords

  • Cross-correlation analysis
  • Epilepsy
  • Propagation
  • Wavelet analysis

ASJC Scopus subject areas

  • Mechanical Engineering
  • Energy Engineering and Power Technology

Cite this

Bahcivan, H., Zhang, N., Mirski, M. A., & Sherman, D. (2001). Cross-correlation analysis of epileptiform propagation using wavelets. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 2, pp. 1804-1807)

Cross-correlation analysis of epileptiform propagation using wavelets. / Bahcivan, Hasan; Zhang, Ning; Mirski, Marek A; Sherman, David.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 2 2001. p. 1804-1807.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bahcivan, H, Zhang, N, Mirski, MA & Sherman, D 2001, Cross-correlation analysis of epileptiform propagation using wavelets. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 2, pp. 1804-1807, 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, Turkey, 10/25/01.
Bahcivan H, Zhang N, Mirski MA, Sherman D. Cross-correlation analysis of epileptiform propagation using wavelets. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 2. 2001. p. 1804-1807
Bahcivan, Hasan ; Zhang, Ning ; Mirski, Marek A ; Sherman, David. / Cross-correlation analysis of epileptiform propagation using wavelets. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 2 2001. pp. 1804-1807
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