Interaction dynamics of neuronal oscillations analysed using wavelet transforms
| Autor: | Xin Yao, John G. R. Jefferys, John E. Fox, Xiaoli Li |
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| Rok vydání: | 2007 |
| Předmět: |
Male
Models Neurological Hippocampus Rats Sprague-Dawley Wavelet Oscillometry Animals Coherence (signal processing) Cortical Synchronization Bicoherence Mathematics Neurons Communication Signal processing business.industry General Neuroscience Wavelet transform Signal Processing Computer-Assisted Phase synchronization Rats Disease Models Animal Nonlinear Dynamics nervous system Morlet wavelet Epilepsies Partial business Biological system |
| Zdroj: | Journal of Neuroscience Methods. 160:178-185 |
| ISSN: | 0165-0270 |
| DOI: | 10.1016/j.jneumeth.2006.08.006 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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