Computational neuronal oscillations using morlet wavelet transform

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

doi:10.1109/IEMBS.2005.1616850

Computational neuronal oscillations using morlet wavelet transform

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

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

13 Citations (Scopus)

Abstract

This paper introduces the use of a new tool based on Morlet wavelet transform to detection the interaction dynamics between two neuronal population oscillations. This toolbox can describe the power spectrum, cross wavelet transform, coherence, bi-coherence, cross phase angle and phase synchronization of two neuronal oscillations. Through a case study of focus epilepsy model, a linear and nonlinear correlation between the neuronal oscillations in the CA1 and CA3 of rat hippocampus are computed. The results show that the tool can be directly applied to analyze and quantify the instantaneous interaction of two neuronal oscillations, which could be a helpful tool to analyze and understand the mechanism of epileptic seizure in EEG recordings. © 2005 IEEE.

Original language	English
Title of host publication	Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005
Publisher	IEEE
Pages	2009-2012
Number of pages	4
ISBN (Print)	9780780387409
DOIs	https://doi.org/10.1109/IEMBS.2005.1616850
Publication status	Published - 2005
Externally published	Yes
Event	2005 IEEE Engineering in Medicine and Biology 27th Annual Conference - Shanghai, China Duration: 17 Jan 2006 → 18 Jan 2006

Conference

Conference	2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
Country/Territory	China
City	Shanghai
Period	17/01/06 → 18/01/06

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10.1109/IEMBS.2005.1616850

Cite this

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title = "Computational neuronal oscillations using morlet wavelet transform",

abstract = "This paper introduces the use of a new tool based on Morlet wavelet transform to detection the interaction dynamics between two neuronal population oscillations. This toolbox can describe the power spectrum, cross wavelet transform, coherence, bi-coherence, cross phase angle and phase synchronization of two neuronal oscillations. Through a case study of focus epilepsy model, a linear and nonlinear correlation between the neuronal oscillations in the CA1 and CA3 of rat hippocampus are computed. The results show that the tool can be directly applied to analyze and quantify the instantaneous interaction of two neuronal oscillations, which could be a helpful tool to analyze and understand the mechanism of epileptic seizure in EEG recordings. {\textcopyright} 2005 IEEE.",

author = "Xiaoli LI and Xin YAO and J.R.G. JEFFERYS and John FOX",

year = "2005",

doi = "10.1109/IEMBS.2005.1616850",

language = "English",

isbn = "9780780387409",

pages = "2009--2012",

booktitle = "Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005",

publisher = "IEEE",

note = "2005 IEEE Engineering in Medicine and Biology 27th Annual Conference ; Conference date: 17-01-2006 Through 18-01-2006",

}

LI, X, YAO, X, JEFFERYS, JRG & FOX, J 2005, Computational neuronal oscillations using morlet wavelet transform. in Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005., 1616850, IEEE, pp. 2009-2012, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China, 17/01/06. https://doi.org/10.1109/IEMBS.2005.1616850

Computational neuronal oscillations using morlet wavelet transform. / LI, Xiaoli; YAO, Xin; JEFFERYS, J.R.G. et al.
Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005. IEEE, 2005. p. 2009-2012 1616850.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Computational neuronal oscillations using morlet wavelet transform

AU - LI, Xiaoli

AU - YAO, Xin

AU - JEFFERYS, J.R.G.

AU - FOX, John

PY - 2005

Y1 - 2005

N2 - This paper introduces the use of a new tool based on Morlet wavelet transform to detection the interaction dynamics between two neuronal population oscillations. This toolbox can describe the power spectrum, cross wavelet transform, coherence, bi-coherence, cross phase angle and phase synchronization of two neuronal oscillations. Through a case study of focus epilepsy model, a linear and nonlinear correlation between the neuronal oscillations in the CA1 and CA3 of rat hippocampus are computed. The results show that the tool can be directly applied to analyze and quantify the instantaneous interaction of two neuronal oscillations, which could be a helpful tool to analyze and understand the mechanism of epileptic seizure in EEG recordings. © 2005 IEEE.

AB - This paper introduces the use of a new tool based on Morlet wavelet transform to detection the interaction dynamics between two neuronal population oscillations. This toolbox can describe the power spectrum, cross wavelet transform, coherence, bi-coherence, cross phase angle and phase synchronization of two neuronal oscillations. Through a case study of focus epilepsy model, a linear and nonlinear correlation between the neuronal oscillations in the CA1 and CA3 of rat hippocampus are computed. The results show that the tool can be directly applied to analyze and quantify the instantaneous interaction of two neuronal oscillations, which could be a helpful tool to analyze and understand the mechanism of epileptic seizure in EEG recordings. © 2005 IEEE.

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U2 - 10.1109/IEMBS.2005.1616850

DO - 10.1109/IEMBS.2005.1616850

M3 - Conference paper (refereed)

SN - 9780780387409

SP - 2009

EP - 2012

BT - Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005

PB - IEEE

T2 - 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference

Y2 - 17 January 2006 through 18 January 2006

ER -

Computational neuronal oscillations using morlet wavelet transform

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