| Testing for directed influences among neural signals using partial directed coherence. | |
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MedLine Citation:
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PMID: 16269188 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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One major challenge in neuroscience is the identification of interrelations between signals reflecting neural activity. When applying multivariate time series analysis techniques to neural signals, detection of directed relationships, which can be described in terms of Granger-causality, is of particular interest. Partial directed coherence has been introduced for a frequency domain analysis of linear Granger-causality based on modeling the underlying dynamics by vector autoregressive processes. We discuss the statistical properties of estimates for partial directed coherence and propose a significance level for testing for nonzero partial directed coherence at a given frequency. The performance of this test is illustrated by means of linear and non-linear model systems and in an application to electroencephalography and electromyography data recorded from a patient suffering from essential tremor. |
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Authors:
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Björn Schelter; Matthias Winterhalder; Michael Eichler; Martin Peifer; Bernhard Hellwig; Brigitte Guschlbauer; Carl Hermann Lücking; Rainer Dahlhaus; Jens Timmer |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2005-11-02 |
Journal Detail:
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Title: Journal of neuroscience methods Volume: 152 ISSN: 0165-0270 ISO Abbreviation: J. Neurosci. Methods Publication Date: 2006 Apr |
Date Detail:
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Created Date: 2006-03-10 Completed Date: 2006-05-12 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 7905558 Medline TA: J Neurosci Methods Country: Netherlands |
Other Details:
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Languages: eng Pagination: 210-9 Citation Subset: IM |
Affiliation:
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FDM, Freiburg Center for Data Analysis and Modeling, University of Freiburg, and Department of Neurology, University Hospital of Freiburg, Germany. schelter@fdm.uni-freiburg.de |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Computer Simulation Data Interpretation, Statistical Electroencephalography / statistics & numerical data Electromyography / statistics & numerical data Humans Linear Models Neurophysiology / methods*, statistics & numerical data Nonlinear Dynamics Stochastic Processes Tremor / physiopathology |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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