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A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization

Brains were built by evolution to react swiftly to environmental challenges. Thus, sensory stimuli must be processed ad hoc, i.e., independent—to a large extent—from the momentary brain state incidentally prevailing during stimulus occurrence. Accordingly, computational neuroscience strives to model...

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Detalles Bibliográficos
Autores principales: Lemm, Steven, Müller, Klaus-Robert, Curio, Gabriel
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2713829/
https://www.ncbi.nlm.nih.gov/pubmed/19662156
http://dx.doi.org/10.1371/journal.pcbi.1000453
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author Lemm, Steven
Müller, Klaus-Robert
Curio, Gabriel
author_facet Lemm, Steven
Müller, Klaus-Robert
Curio, Gabriel
author_sort Lemm, Steven
collection PubMed
description Brains were built by evolution to react swiftly to environmental challenges. Thus, sensory stimuli must be processed ad hoc, i.e., independent—to a large extent—from the momentary brain state incidentally prevailing during stimulus occurrence. Accordingly, computational neuroscience strives to model the robust processing of stimuli in the presence of dynamical cortical states. A pivotal feature of ongoing brain activity is the regional predominance of EEG eigenrhythms, such as the occipital alpha or the pericentral mu rhythm, both peaking spectrally at 10 Hz. Here, we establish a novel generalized concept to measure event-related desynchronization (ERD), which allows one to model neural oscillatory dynamics also in the presence of dynamical cortical states. Specifically, we demonstrate that a somatosensory stimulus causes a stereotypic sequence of first an ERD and then an ensuing amplitude overshoot (event-related synchronization), which at a dynamical cortical state becomes evident only if the natural relaxation dynamics of unperturbed EEG rhythms is utilized as reference dynamics. Moreover, this computational approach also encompasses the more general notion of a “conditional ERD,” through which candidate explanatory variables can be scrutinized with regard to their possible impact on a particular oscillatory dynamics under study. Thus, the generalized ERD represents a powerful novel analysis tool for extending our understanding of inter-trial variability of evoked responses and therefore the robust processing of environmental stimuli.
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spelling pubmed-27138292009-08-07 A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization Lemm, Steven Müller, Klaus-Robert Curio, Gabriel PLoS Comput Biol Research Article Brains were built by evolution to react swiftly to environmental challenges. Thus, sensory stimuli must be processed ad hoc, i.e., independent—to a large extent—from the momentary brain state incidentally prevailing during stimulus occurrence. Accordingly, computational neuroscience strives to model the robust processing of stimuli in the presence of dynamical cortical states. A pivotal feature of ongoing brain activity is the regional predominance of EEG eigenrhythms, such as the occipital alpha or the pericentral mu rhythm, both peaking spectrally at 10 Hz. Here, we establish a novel generalized concept to measure event-related desynchronization (ERD), which allows one to model neural oscillatory dynamics also in the presence of dynamical cortical states. Specifically, we demonstrate that a somatosensory stimulus causes a stereotypic sequence of first an ERD and then an ensuing amplitude overshoot (event-related synchronization), which at a dynamical cortical state becomes evident only if the natural relaxation dynamics of unperturbed EEG rhythms is utilized as reference dynamics. Moreover, this computational approach also encompasses the more general notion of a “conditional ERD,” through which candidate explanatory variables can be scrutinized with regard to their possible impact on a particular oscillatory dynamics under study. Thus, the generalized ERD represents a powerful novel analysis tool for extending our understanding of inter-trial variability of evoked responses and therefore the robust processing of environmental stimuli. Public Library of Science 2009-08-07 /pmc/articles/PMC2713829/ /pubmed/19662156 http://dx.doi.org/10.1371/journal.pcbi.1000453 Text en Lemm et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lemm, Steven
Müller, Klaus-Robert
Curio, Gabriel
A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization
title A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization
title_full A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization
title_fullStr A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization
title_full_unstemmed A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization
title_short A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization
title_sort generalized framework for quantifying the dynamics of eeg event-related desynchronization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2713829/
https://www.ncbi.nlm.nih.gov/pubmed/19662156
http://dx.doi.org/10.1371/journal.pcbi.1000453
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