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Long-Range Temporal Correlations in the EEG Bursts of Human Preterm Babies

The electrical activity in the very early human preterm brain, as recorded by scalp EEG, is mostly discontinuous and has bursts of high-frequency oscillatory activity nested within slow-wave depolarisations of high amplitude. The temporal organisation of the occurrence of these EEG bursts has not be...

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Detalles Bibliográficos
Autores principales: Hartley, Caroline, Berthouze, Luc, Mathieson, Sean R., Boylan, Geraldine B., Rennie, Janet M., Marlow, Neil, Farmer, Simon F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283672/
https://www.ncbi.nlm.nih.gov/pubmed/22363669
http://dx.doi.org/10.1371/journal.pone.0031543
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author Hartley, Caroline
Berthouze, Luc
Mathieson, Sean R.
Boylan, Geraldine B.
Rennie, Janet M.
Marlow, Neil
Farmer, Simon F.
author_facet Hartley, Caroline
Berthouze, Luc
Mathieson, Sean R.
Boylan, Geraldine B.
Rennie, Janet M.
Marlow, Neil
Farmer, Simon F.
author_sort Hartley, Caroline
collection PubMed
description The electrical activity in the very early human preterm brain, as recorded by scalp EEG, is mostly discontinuous and has bursts of high-frequency oscillatory activity nested within slow-wave depolarisations of high amplitude. The temporal organisation of the occurrence of these EEG bursts has not been previously investigated. We analysed the distribution of the EEG bursts in 11 very preterm (23–30 weeks gestational age) human babies through two estimates of the Hurst exponent. We found long-range temporal correlations (LRTCs) in the occurrence of these EEG bursts demonstrating that even in the very immature human brain, when the cerebral cortical structure is far from fully developed, there is non-trivial temporal structuring of electrical activity.
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spelling pubmed-32836722012-02-23 Long-Range Temporal Correlations in the EEG Bursts of Human Preterm Babies Hartley, Caroline Berthouze, Luc Mathieson, Sean R. Boylan, Geraldine B. Rennie, Janet M. Marlow, Neil Farmer, Simon F. PLoS One Research Article The electrical activity in the very early human preterm brain, as recorded by scalp EEG, is mostly discontinuous and has bursts of high-frequency oscillatory activity nested within slow-wave depolarisations of high amplitude. The temporal organisation of the occurrence of these EEG bursts has not been previously investigated. We analysed the distribution of the EEG bursts in 11 very preterm (23–30 weeks gestational age) human babies through two estimates of the Hurst exponent. We found long-range temporal correlations (LRTCs) in the occurrence of these EEG bursts demonstrating that even in the very immature human brain, when the cerebral cortical structure is far from fully developed, there is non-trivial temporal structuring of electrical activity. Public Library of Science 2012-02-21 /pmc/articles/PMC3283672/ /pubmed/22363669 http://dx.doi.org/10.1371/journal.pone.0031543 Text en Hartley 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
Hartley, Caroline
Berthouze, Luc
Mathieson, Sean R.
Boylan, Geraldine B.
Rennie, Janet M.
Marlow, Neil
Farmer, Simon F.
Long-Range Temporal Correlations in the EEG Bursts of Human Preterm Babies
title Long-Range Temporal Correlations in the EEG Bursts of Human Preterm Babies
title_full Long-Range Temporal Correlations in the EEG Bursts of Human Preterm Babies
title_fullStr Long-Range Temporal Correlations in the EEG Bursts of Human Preterm Babies
title_full_unstemmed Long-Range Temporal Correlations in the EEG Bursts of Human Preterm Babies
title_short Long-Range Temporal Correlations in the EEG Bursts of Human Preterm Babies
title_sort long-range temporal correlations in the eeg bursts of human preterm babies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283672/
https://www.ncbi.nlm.nih.gov/pubmed/22363669
http://dx.doi.org/10.1371/journal.pone.0031543
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