The Dynamics of EEG Entropy Metadata
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- Main Title The Dynamics of EEG Entropy
Author: Ignaccolo, MassimilianoCreator Type: PersonalCreator Info: Duke University
Author: Latka, MiroslawCreator Type: PersonalCreator Info: Wroclaw University of Technology
Author: Jernajczyk, WojciechCreator Type: PersonalCreator Info: Institute of Psychiatry and Neurology
Author: Grigolini, PaoloCreator Type: PersonalCreator Info: University of North Texas
Author: West, Bruce J.Creator Type: PersonalCreator Info: Duke University; United States. Army Research Office
Name: Springer-VerlagPlace of Publication: [Berlin, Germany]
- Creation: 2009-03-05
- Content Description: This article discusses the dynamics of EEG entropy.
- Physical Description: 6 p.
- Keyword: electroencephalography
- Keyword: entropy
- Keyword: neurophysiology
- Keyword: brain diseases
- Journal: Journal of Biological Physics, 2010, Berlin: Springer-Verlag
- Publication Title: Journal of Biological Physics
- Volume: 36
- Issue: 2
- Page Start: 185
- Page End: 196
- Peer Reviewed: True
Name: UNT Scholarly WorksCode: UNTSW
Name: UNT College of Arts and SciencesCode: UNTCAS
- Rights Access: public
- Archival Resource Key: ark:/67531/metadc132967
- Academic Department: Physics
- Academic Department: Center for Nonlinear Science
- Display Note: This is the pre-published version of this article. The final, definitive version can be found online: http://link.springer.com/article/10.1007%2Fs10867-009-9171-y
- Display Note: Abstract: EEG time series are analyzed using the diffusion entropy method. The resulting EEG entropy manifests short-time scaling, asymptotic saturation and an attenuated alpha-rhythm modulation. These properties are faithfully modeled by a phenomenological Langevin equation interpreted within a neural network context.