The Dynamics of EEG Entropy

Description:

This article discusses the dynamics of EEG entropy.

Creator(s):
Creation Date: March 5, 2009
Partner(s):
UNT College of Arts and Sciences
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 40
Past 30 days: 5
Yesterday: 0
Creator (Author):
Ignaccolo, Massimiliano

Duke University

Creator (Author):
Latka, Miroslaw

Wroclaw University of Technology

Creator (Author):
Jernajczyk, Wojciech

Institute of Psychiatry and Neurology

Creator (Author):
Grigolini, Paolo

University of North Texas

Creator (Author):
West, Bruce J.

Duke University; United States. Army Research Office

Publisher Info:
Publisher Name: Springer-Verlag
Place of Publication: [Berlin, Heidelberg]
Date(s):
  • Creation: March 5, 2009
Description:

This article discusses the dynamics of EEG entropy.

Degree:
Department: Physics
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

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.

Physical Description:

6 p.

Language(s):
Subject(s):
Keyword(s): electroencephalography | entropy | neurophysiology | brain diseases
Source: Journal of Biological Physics, 2010, Berlin: Springer-Verlag
Partner:
UNT College of Arts and Sciences
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc132967
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: Journal of Biological Physics
Volume: 36
Issue: 2
Page Start: 185
Page End: 196
Peer Reviewed: Yes