Journal
JOURNAL OF NEUROSCIENCE METHODS
Volume 179, Issue 1, Pages 121-130Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jneumeth.2009.01.006
Keywords
Partial directed coherence; Granger-causality; Multivariate time series; Graphical models; Renormalization
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Funding
- German Science Foundation [Ti315/4-2]
- German Federal Ministry of Education and Research [01GQ0420]
- Excellence Initiative of the German Federal and State Governments
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Partial directed coherence is a powerful tool used to analyze interdependencies in multivariate systems based on vector autoregressive modeling. This frequency domain measure for Granger-causality is designed such that it is normalized to [0.1]. This normalization induces several pitfalls for the interpretability of the ordinary partial directed coherence, which will be discussed in some detail in this paper. In order to avoid these pitfalls, we introduce renormalized partial directed coherence and calculate confidence intervals and significance levels. The performance of this novel concept is illustrated by application to model systems and to electroencephalography and electromyography data from a patient suffering from Parkinsonian tremor. (C) 2009 Elsevier B.V. All rights reserved.
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