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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. ISSN 0165-0270

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

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:

Date	Event
30 January 2008	Published

Volume:

Volume 167

Number:

Number 2

Number of Pages:

Page Range:

pp. 367-375

Identification Number:

10.1016/j.jneumeth.2007.08.022

Status:

Peer Reviewed

Publication Status:

Published

Access rights to Published version:

Restricted or Subscription Access

Adapted As:

References:

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