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  4. Multiscale entropy of electroencephalogram as a potential predictor for the prognosis of neonatal seizures
 
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Multiscale entropy of electroencephalogram as a potential predictor for the prognosis of neonatal seizures

Journal
PLoS ONE
Journal Volume
10
Journal Issue
12
Pages
144732
Date Issued
2015
Author(s)
Lu W.-Y.
Chen J.-Y.
Chang C.F.
WEN-CHIN WENG  
WANG-TSO LEE  
Shieh J.-S.
DOI
10.1371/journal.pone.0144732
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957111503&doi=10.1371%2fjournal.pone.0144732&partnerID=40&md5=15ce84fced32d6284f2fe1f383e355cb
https://scholars.lib.ntu.edu.tw/handle/123456789/527374
Abstract
Objective Increasing animal studies supported the harmful effects of prolonged or frequent neonatal seizures in developing brain, including increased risk of later epilepsy. Various nonlinear analytic measures had been applied to investigate the change of brain complexity with age. This study focuses on clarifying the relationship between later epilepsy and the changes of electroencephalogram (EEG) complexity in neonatal seizures. Methods EEG signals from 19 channels of the whole brain from 32 neonates below 2 months old were acquired. The neonates were classified into 3 groups: 9 were normal controls, 9 were neonatal seizures without later epilepsy, and 14 were neonatal seizures with later epilepsy. Sample entropy (SamEn), multiscale entropy (MSE) and complexity index (CI) were analyzed. Results Although there was no significant change in SamEn, the CI values showed significantly decreased over Channels C3, C4, and Cz in patients with neonatal seizures and later epilepsy compared with control group. More multifocal epileptiform discharges in EEG, more abnormal neuroimaging findings, and higher incidence of future developmental delay were noted in the group with later epilepsy. Conclusions Decreased MSE and CI values in patients with neonatal seizures and later epilepsy may reflect the mixed effects of acute insults, underlying brain immaturity, and prolonged seizures-related injuries. The analysis of MSE and CI can therefore provide a quantifiable and accurate way to decrypt the mystery of neonatal seizures, and could be a promising predictor. Copyright ? 2015 Lu 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.
SDGs

[SDGs]SDG3

Other Subjects
accuracy; Article; brain maturation; clinical article; clinical evaluation; controlled study; disease association; electroencephalogram; entropy; epileptic discharge; female; human; infant; infantile spasm; male; neuroimaging; newborn; onset age; prognosis; brain; case control study; convalescence; disease course; electroencephalography; entropy; Epilepsy, Benign Neonatal; pathology; pathophysiology; procedures; time factor; Brain; Case-Control Studies; Convalescence; Disease Progression; Electroencephalography; Entropy; Epilepsy, Benign Neonatal; Female; Humans; Infant; Infant, Newborn; Male; Neuroimaging; Prognosis; Time Factors
Publisher
Public Library of Science
Type
journal article

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