Fractal Complexity in Spontaneous EEG Metastable-State Transitions: New Vistas on Integrated Neural Dynamics

Resting-state EEG signals undergo rapid transition processes (RTPs) that glue otherwise stationary epochs. We study the fractal properties of RTPs in space and time, supporting the hypothesis that the brain works at a critical state. We discuss how the global intermittent dynamics of collective exci...

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Detalles Bibliográficos
Autores principales: Allegrini, Paolo, Paradisi, Paolo, Menicucci, Danilo, Gemignani, Angelo
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059954/
https://www.ncbi.nlm.nih.gov/pubmed/21423370
http://dx.doi.org/10.3389/fphys.2010.00128
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author Allegrini, Paolo
Paradisi, Paolo
Menicucci, Danilo
Gemignani, Angelo
author_facet Allegrini, Paolo
Paradisi, Paolo
Menicucci, Danilo
Gemignani, Angelo
author_sort Allegrini, Paolo
collection PubMed
description Resting-state EEG signals undergo rapid transition processes (RTPs) that glue otherwise stationary epochs. We study the fractal properties of RTPs in space and time, supporting the hypothesis that the brain works at a critical state. We discuss how the global intermittent dynamics of collective excitations is linked to mentation, namely non-constrained non-task-oriented mental activity.
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spelling pubmed-30599542011-03-21 Fractal Complexity in Spontaneous EEG Metastable-State Transitions: New Vistas on Integrated Neural Dynamics Allegrini, Paolo Paradisi, Paolo Menicucci, Danilo Gemignani, Angelo Front Physiol Physiology Resting-state EEG signals undergo rapid transition processes (RTPs) that glue otherwise stationary epochs. We study the fractal properties of RTPs in space and time, supporting the hypothesis that the brain works at a critical state. We discuss how the global intermittent dynamics of collective excitations is linked to mentation, namely non-constrained non-task-oriented mental activity. Frontiers Research Foundation 2010-09-15 /pmc/articles/PMC3059954/ /pubmed/21423370 http://dx.doi.org/10.3389/fphys.2010.00128 Text en Copyright © 2010 Allegrini, Paradisi, Menicucci and Gemignani. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
spellingShingle Physiology
Allegrini, Paolo
Paradisi, Paolo
Menicucci, Danilo
Gemignani, Angelo
Fractal Complexity in Spontaneous EEG Metastable-State Transitions: New Vistas on Integrated Neural Dynamics
title Fractal Complexity in Spontaneous EEG Metastable-State Transitions: New Vistas on Integrated Neural Dynamics
title_full Fractal Complexity in Spontaneous EEG Metastable-State Transitions: New Vistas on Integrated Neural Dynamics
title_fullStr Fractal Complexity in Spontaneous EEG Metastable-State Transitions: New Vistas on Integrated Neural Dynamics
title_full_unstemmed Fractal Complexity in Spontaneous EEG Metastable-State Transitions: New Vistas on Integrated Neural Dynamics
title_short Fractal Complexity in Spontaneous EEG Metastable-State Transitions: New Vistas on Integrated Neural Dynamics
title_sort fractal complexity in spontaneous eeg metastable-state transitions: new vistas on integrated neural dynamics
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059954/
https://www.ncbi.nlm.nih.gov/pubmed/21423370
http://dx.doi.org/10.3389/fphys.2010.00128
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AT menicuccidanilo fractalcomplexityinspontaneouseegmetastablestatetransitionsnewvistasonintegratedneuraldynamics
AT gemignaniangelo fractalcomplexityinspontaneouseegmetastablestatetransitionsnewvistasonintegratedneuraldynamics

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