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Detecting causality between different frequencies

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Wu, Jianhua, Liu, Xuguang and Feng, Jianfeng (2008) Detecting causality between different frequencies. Journal of Neuroscience Methods, Volume 167 (Number 2). pp. 367-375. doi:10.1016/j.jneumeth.2007.08.022

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Official URL: http://dx.doi.org/10.1016/j.jneumeth.2007.08.022

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Abstract

Biological systems are usually non-linear and, as a result, the driving signal frequency (say, MHz) is in general not identical with the output frequency (say, NHz). Coherence and causality analysis have been well-developed to measure the (directional) correlation between input and output signals with identical frequencies (N = M), but they are not applicable to the cases with different frequencies (N A M). In this paper, we propose a novel method called frequency-modified causality (coherence) analysis to resolve the issue. The input or output signal is first modulated by up-sampling or down-sampling, coherence and causality analysis are then applied to the frequency modulated and filtered signals. An optimal coherence and causality is found, revealing the true input-output relationship between signals. The method is successfully tested on data generated from a toy model, the van der Pol oscillator and then employed to analyze data recorded from Parkinson's disease (PD) patients. (c) 2007 Elsevier B.V. All rights reserved.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science > Centre for Scientific Computing
Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Time-series analysis, Parkinson's disease -- Research, Neural networks (Computer science), Causation
Journal or Publication Title: Journal of Neuroscience Methods
Publisher: Elsevier BV
ISSN: 0165-0270
Official Date: 30 January 2008
Dates:
DateEvent
30 January 2008Published
Volume: Volume 167
Number: Number 2
Number of Pages: 9
Page Range: pp. 367-375
DOI: 10.1016/j.jneumeth.2007.08.022
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Adapted As:

Data sourced from Thomson Reuters' Web of Knowledge

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