Interaction dynamics of neuronal oscillations analysed using wavelet transforms

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

doi:10.1016/j.jneumeth.2006.08.006

Interaction dynamics of neuronal oscillations analysed using wavelet transforms

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

Research output: Journal Publications › Journal Article (refereed) › peer-review

104 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	178-185
Number of pages	8
Journal	Journal of Neuroscience Methods
Volume	160
Issue number	1
Early online date	15 Sept 2006
DOIs	https://doi.org/10.1016/j.jneumeth.2006.08.006
Publication status	Published - Feb 2007
Externally published	Yes

Funding

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

Keywords

Bicoherence
Coherence
Epileptic seizure
Neuronal oscillation
Synchronization
Wavelet

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10.1016/j.jneumeth.2006.08.006

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title = "Interaction dynamics of neuronal oscillations analysed using wavelet transforms",

abstract = "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. {\textcopyright} 2006 Elsevier B.V. All rights reserved.",

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AU - LI, Xiaoli

AU - YAO, Xin

AU - FOX, John

AU - JEFFERYS, John G.

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AB - 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.

KW - Bicoherence

KW - Coherence

KW - Epileptic seizure

KW - Neuronal oscillation

KW - Synchronization

KW - Wavelet

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M3 - Journal Article (refereed)

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VL - 160

SP - 178

EP - 185

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

IS - 1

ER -

Interaction dynamics of neuronal oscillations analysed using wavelet transforms

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Keywords

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