Spontaneous Brain Activity as a Source of Ideal 1/f Noise

Description:

In this article, the authors study the electroencephalogram (EEG) of 30 closed-eye subjects with a technique of analysis recently proposed to detect punctual events signaling rapid transitions between different metastable states.

Creator(s):
Creation Date: December 18, 2009
Partner(s):
UNT College of Arts and Sciences
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 59
Past 30 days: 7
Yesterday: 0
Creator (Author):
Allegrini, Paolo

Istituto di Fisiologia Clinica (IFC-CNR); Università di Pisa and INFM CRS-SOFT

Creator (Author):
Menicucci, Danilo

Istituto di Fisiologia Clinica (IFC-CNR); Centro EXTREME, Scuola Superiore Sant'Anna

Creator (Author):
Bedini, Remo

Istituto di Fisiologia Clinica (IFC-CNR); Centro EXTREME, Scuola Superiore Sant'Anna

Creator (Author):
Fronzoni, Leone

Università di Pisa and INFM CRS-SOFT

Creator (Author):
Gemignani, Angelo

Istituto di Fisiologia Clinica (IFC-CNR); Centro EXTREME, Scuola Superiore Sant'Anna; University of Pisa

Creator (Author):
Grigolini, Paolo

University of North Texas

Creator (Author):
West, Bruce J.

Duke University

Creator (Author):
Paradisi, Paolo

Istituto di Scienze dell'Atmosfera e del Clima (ISAC-CNR)

Publisher Info:
Publisher Name: American Physical Society
Place of Publication: [College Park, Maryland]
Date(s):
  • Creation: December 18, 2009
Description:

In this article, the authors study the electroencephalogram (EEG) of 30 closed-eye subjects with a technique of analysis recently proposed to detect punctual events signaling rapid transitions between different metastable states.

Degree:
Department: Physics
Note:

Copyright 2009 American Physical Society. The following article appeared in Physical Review E, 80:6; http://pre.aps.org/abstract/PRE/v80/i6/e061914

Note:

Abstract: We study the electroencephalogram (EEG) of 30 closed-eye awake subjects with a technique of analysis recently proposed to detect punctual events signaling rapid transitions between different metastable states. After single-EEG-channel event detection, we study global properties of events simultaneously occurring among two or more electrodes termed coincidences. We convert the coincidences into a diffusion process with three distinct rules that can yield the same μ only in the case where the coincidences are driven by a renewal process. We establish that the time interval between two consecutive renewal events driving the coincidences has a waiting-time distribution with inverse power-law index μ≈2 corresponding to ideal 1/f noise. We argue that this discovery, shared by all subjects of our study, supports the conviction that 1/f noise is an optimal communication channel for complex networks as in art or language and may therefore be the channel through which the brain influences complex processes and is influenced by them.

Physical Description:

13 p.

Language(s):
Subject(s):
Keyword(s): electroencephalogram | 1/f noise
Source: Physical Review E, 2009, College Park: American Physical Society
Partner:
UNT College of Arts and Sciences
Collection:
UNT Scholarly Works
Identifier:
  • DOI: 10.1103/PhysRevE.80.061914
  • ARK: ark:/67531/metadc40409
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: Physical Review E
Volume: 80
Issue: 6
Pages: 13
Peer Reviewed: Yes