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  Topographic voltage and coherence mapping of brain potentials by means of the symbolic resonance analysis

beim Graben, P., Frisch, S., Fink, A., Saddy, D., & Kurths, J. (2005). Topographic voltage and coherence mapping of brain potentials by means of the symbolic resonance analysis. Physical Review E, 72(5), 051916. doi:10.1103/PhysRevE.72.051916.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-E54C-2 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-5F7F-4
Genre: Journal Article

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 Creators:
beim Graben, Peter, Author
Frisch, Stefan1, Author              
Fink, A., Author
Saddy, Douglas, Author
Kurths, J., Author
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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 Abstract: We apply the recently developed symbolic resonance analysis to electroencephalographic measurements of event-related brain potentials (ERPs) in a language processing experiment by using a three-symbol static encoding with varying thresholds for analyzing the ERP epochs, followed by a spin-flip transformation as a nonlinear filter. We compute an estimator of the signal-to-noise ratio (SNR) for the symbolic dynamics measuring the coherence of threshold-crossing events. Hence, we utilize the inherent noise of the EEG for sweeping the underlying ERP components beyond the encoding thresholds. Plotting the SNR computed within the time window of a particular ERP component (the N400) against the encoding thresholds, we find different resonance curves for the experimental conditions. The maximal differences of the SNR lead to the estimation of optimal encoding thresholds. We show that topographic brain maps of the optimal threshold voltages and of their associated coherence differences are able to dissociate the underlying physiological processes, while corresponding maps gained from the customary voltage averaging technique are unable to do so.

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Language(s): eng - English
 Dates: 2005
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 263212
DOI: 10.1103/PhysRevE.72.051916
Other: P7145
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Title: Physical Review E
  Other : Phys. Rev. E
Source Genre: Journal
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Publ. Info: Melville, NY : American Physical Society
Pages: - Volume / Issue: 72 (5) Sequence Number: - Start / End Page: 051916 Identifier: ISSN: 1539-3755
CoNE: /journals/resource/954925225012