Literature DB >> 15465433

Spectral analysis of burst periods in EEG from healthy and post-asphyctic full-term neonates.

M Thordstein1, A Flisberg, N Löfgren, R Bågenholm, K Lindecrantz, B G Wallin, I Kjellmer.   

Abstract

OBJECTIVE: To investigate whether the periodic EEG patterns seen in healthy and sick full term neonates (trace alternant and burst suppression, respectively) have different frequency characteristics.
METHODS: Burst episodes were selected from the EEGs of 9 healthy and 9 post-asphyctic full-term neonates and subjected to power spectrum analysis. Powers in two bands were estimated; 0-4 and 4-30 Hz, designated low- and high-frequency activity, respectively (LFA, HFA). The spectral edge frequency (SEF) was also assessed.
RESULTS: In bursts, the LFA power was lower in periods of burst suppression as compared to those of trace alternant. The parameter that best discriminated between the groups was the relative amount of low- and high-frequency activity. The SEF parameter had a low sensitivity to the group differences. In healthy neonates, the LFA power was higher over the posterior right as compared to the posterior left region.
CONCLUSIONS: Spectral power of low frequencies differs significantly between the burst episodes of healthy and sick neonates. SIGNIFICANCE: These results can be used when monitoring cerebral function in neonates.

Entities:  

Mesh:

Year:  2004        PMID: 15465433     DOI: 10.1016/j.clinph.2004.05.019

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  6 in total

1.  A neurophysiological-metabolic model for burst suppression.

Authors:  Shinung Ching; Patrick L Purdon; Sujith Vijayan; Nancy J Kopell; Emery N Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-07       Impact factor: 11.205

2.  Spectral Content of Electroencephalographic Burst-Suppression Patterns May Reflect Neuronal Recovery in Comatose Post-Cardiac Arrest Patients.

Authors:  Krithiga Sekar; Nicholas D Schiff; Douglas Labar; Peter B Forgacs
Journal:  J Clin Neurophysiol       Date:  2019-03       Impact factor: 2.177

3.  Technical standards for recording and interpretation of neonatal electroencephalogram in clinical practice.

Authors:  Perumpillichira J Cherian; Renate M Swarte; Gerhard H Visser
Journal:  Ann Indian Acad Neurol       Date:  2009-01       Impact factor: 1.383

4.  No difference indicated in electroencephalographic power spectral analysis in 3- and 6-month-old infants fed soy- or milk-based formula.

Authors:  Hongkui Jing; R T Pivik; Janet M Gilchrist; Thomas M Badger
Journal:  Matern Child Nutr       Date:  2008-04       Impact factor: 3.092

5.  Adaptive shut-down of EEG activity predicts critical acidemia in the near-term ovine fetus.

Authors:  Martin G Frasch; Lucien Daniel Durosier; Nathan Gold; Mingju Cao; Brad Matushewski; Lynn Keenliside; Yoram Louzoun; Michael G Ross; Bryan S Richardson
Journal:  Physiol Rep       Date:  2015-07

6.  Prevalence and etiology of false normal aEEG recordings in neonatal hypoxic-ischaemic encephalopathy.

Authors:  Gábor Marics; Anna Csekő; Barna Vásárhelyi; Dávid Zakariás; György Schuster; Miklós Szabó
Journal:  BMC Pediatr       Date:  2013-11-22       Impact factor: 2.125

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.