Document Detail


Analysis of the interrelations between a low-frequency and a high-frequency signal component in human neonatal EEG during quiet sleep.
MedLine Citation:
PMID:  9406765     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
It can be shown that dominant rhythmic signal components of neonatal EEG burst patterns (discontinuous EEG in quiet sleep) are characterised by a quadratic phase coupling (bispectral analysis). A so-called 'initial wave' (narrow band rhythm within a frequency range of 3-12 Hz) can be demonstrated within the first part of the burst pattern. The detection of this signal component and of the phase coupling is more successful in the frontal region. By means of amplitude demodulation of the 'initial wave' and a subsequent coherence analysis the phase coupling can be attributed to an amplitude modulation, i.e. the envelope curve of the 'initial wave' shows for a distinct period of time the same qualitative course as the signal trace of a 'lower' frequency component (0.75-3 Hz). The results were derived from six neonates (20 burst patterns for each neonate; 8 channel recordings).
Authors:
H Witte; P Putsche; M Eiselt; K Hoffmann; B Schack; M Arnold; H Jäger
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Neuroscience letters     Volume:  236     ISSN:  0304-3940     ISO Abbreviation:  Neurosci. Lett.     Publication Date:  1997 Nov 
Date Detail:
Created Date:  1998-01-12     Completed Date:  1998-01-12     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7600130     Medline TA:  Neurosci Lett     Country:  IRELAND    
Other Details:
Languages:  eng     Pagination:  175-9     Citation Subset:  IM    
Affiliation:
Friedrich Schiller University, Institute of Medical Statistics, Computer Sciences and Documentation, Jena D, Germany.
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MeSH Terms
Descriptor/Qualifier:
Brain Mapping*
Electroencephalography*
Fourier Analysis
Frontal Lobe / physiology
Humans
Infant, Newborn
Sleep / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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