Direct or indirect? Graphical models for neural oscillators

Univariate and bivariate time series analysis techniques have enabled new insights into neural processes. However, these techniques are not feasible to distinguish direct and indirect interrelations in multivariate systems. To this aim multivariate times series techniques are presented and investiga...

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Bibliographic Details
Published in:Journal of physiology, Paris Paris, 2006, Vol.99 (1), p.37-46
Main Authors: Schelter, Björn, Winterhalder, Matthias, Hellwig, Bernhard, Guschlbauer, Brigitte, Lücking, Carl Hermann, Timmer, Jens
Format: Article
Language:English
Subjects:
Algorithms
Coherence
Computer Simulation
Electroencephalography
Electromyography
Essential tremor
Essential Tremor - physiopathology
Graphical models
Humans
Magnetoencephalography - statistics & numerical data
Models, Neurological
Models, Statistical
Multivariate time series analysis
Partial coherence
Partial directed coherence
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Summary:Univariate and bivariate time series analysis techniques have enabled new insights into neural processes. However, these techniques are not feasible to distinguish direct and indirect interrelations in multivariate systems. To this aim multivariate times series techniques are presented and investigated by means of simulated as well as physiological time series. Pitfalls and limitations of these techniques are discussed.
ISSN:0928-4257
1769-7115
DOI:10.1016/j.jphysparis.2005.06.006