Detecting causality between different frequencies
Wu, Jianhua, Liu, Xuguang and Feng, Jianfeng. (2008) Detecting causality between different frequencies. Journal of Neuroscience Methods, Vol.167 (No.2). pp. 367-375. ISSN 0165-0270Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.jneumeth.2007.08.022
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 > QD Chemistry
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
|Divisions:||Faculty of Science > Centre for Scientific Computing
Faculty of Science > Computer Science
|Journal or Publication Title:||Journal of Neuroscience Methods|
|Date:||30 January 2008|
|Number of Pages:||9|
|Page Range:||pp. 367-375|
|Access rights to Published version:||Restricted or Subscription Access|
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