Interaction dynamics of neuronal oscillations analysed using wavelet transforms

Xiaoli LI, Xin YAO, John FOX, John G. JEFFERYS

Research output: Journal PublicationsJournal Article (refereed)peer-review

103 Citations (Scopus)


This paper describes the use of a computational tool based on the Morlet wavelet transform to investigate the interaction dynamics between oscillations generated by two anatomically distinct neuronal populations. The tool uses cross wavelet transform, coherence, bi-spectrum/bi-coherence and phase synchronization. Using specimen data recorded from the hippocampus of a rat with experimentally induced focal epilepsy, linear and non-linear correlations between neuronal oscillations in the CA1 and CA3 regions have been computed. The results of this real case study show that the computational tool can successfully analyse and quantify the temporal interactions between neuronal oscillators and could be employed to investigate the mechanisms underlying epilepsy. © 2006 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)178-185
Number of pages8
JournalJournal of Neuroscience Methods
Issue number1
Early online date15 Sept 2006
Publication statusPublished - Feb 2007
Externally publishedYes

Bibliographical note

The work is supported by The Wellcome Trust, Advantage West Midlands (AWM), UK, and National Natural Science Foundation of China (60575012).


  • Bicoherence
  • Coherence
  • Epileptic seizure
  • Neuronal oscillation
  • Synchronization
  • Wavelet


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