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Long-range temporal correlations in the EEG bursts of human preterm babies.

Hartley, C; Berthouze, L; Mathieson, SR; Boylan, GB; Rennie, JM; Marlow, N; Farmer, SF; (2012) Long-range temporal correlations in the EEG bursts of human preterm babies. PLoS One , 7 (2) , Article e31543. 10.1371/journal.pone.0031543. Green open access

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Abstract

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.

Type: Article
Title: Long-range temporal correlations in the EEG bursts of human preterm babies.
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0031543
Publisher version: http://dx.doi.org/10.1371/journal.pone.0031543
Language: English
Additional information: © 2012 Hartley et al. 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 credited. PMCID: PMC3283672 SM, JR and Neil Marlow are funded by the Wellcome Trust to SM, JR and NM are funded by the Wellcome Trust. CH was funded through CoMPLEX (Centre for Mathematics and Physics in the Life Sciences and Experimental Biology), University College London. LB was funded by the EPSRC (Engineering and Physical Sciences Research Council). SF was funded by UCLH CBRC (University College London Hospitals Comprehensive Biomedical Research Centre). (www.ucl.ac.uk/complex, www.epsrc.ac.uk, http://www.uclh.org/Research/CBRC/Pages/​Home.aspx, www.wellcome.ac.uk). None of the funding was specifically for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Keywords: Action Potentials, Electroencephalography, Humans, Infant, Newborn, Infant, Premature, Signal Processing, Computer-Assisted, Time Factors
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Neonatology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Neurosciences Dept
URI: https://discovery.ucl.ac.uk/id/eprint/1343065
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