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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, Vol.167 (No.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 > 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 |
| Publisher: | Elsevier BV |
| ISSN: | 0165-0270 |
| Date: | 30 January 2008 |
| Volume: | Vol.167 |
| Number: | No.2 |
| Number of Pages: | 9 |
| 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: | |
| URI: | http://wrap.warwick.ac.uk/id/eprint/30618 |
Data sourced from Thomson Reuters' Web of Knowledge
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