The frequency-amplitude gradient in the sleep EEG of children and its diagnostic significance
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos de neuro-psiquiatria (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2007000200004 |
Resumo: | OBJECTIVE: 1014 EEGs of children in the 3-months to 12-years age group were obtained during sleep with the purpose of assessing the frequency and amplitude gradient (FAG) its absence thought to be an indicator of neurological disorder. METHOD: FAG findings were divided into present/absent. The neurological findings were classified according to the presence (abnormal neurological finding-ANF) or absence (normal neurological finding-NNF) of neurological disorder. The association and significance between FAG and neurological findings was determined by prevalence ration (PR) and chi-square test (chi2). RESULTS: FAG showed a characteristic distributions of voltage output during non-REM sleep, stage II, in the 3-months to 5-years age group with NNF. The PR and the chi2 test demonstrated a strong association between FAG absent and ANF. CONCLUSION: FAG is an age-dependent EEG sleep parameter and absence of FAG in the 3-months to 5-years age group is highly suggestive of neurological disorder. |
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Arquivos de neuro-psiquiatria (Online) |
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The frequency-amplitude gradient in the sleep EEG of children and its diagnostic significancepediatric sleep EEGfrequency-amplitude gradientposterior slow wavesneurological disorderOBJECTIVE: 1014 EEGs of children in the 3-months to 12-years age group were obtained during sleep with the purpose of assessing the frequency and amplitude gradient (FAG) its absence thought to be an indicator of neurological disorder. METHOD: FAG findings were divided into present/absent. The neurological findings were classified according to the presence (abnormal neurological finding-ANF) or absence (normal neurological finding-NNF) of neurological disorder. The association and significance between FAG and neurological findings was determined by prevalence ration (PR) and chi-square test (chi2). RESULTS: FAG showed a characteristic distributions of voltage output during non-REM sleep, stage II, in the 3-months to 5-years age group with NNF. The PR and the chi2 test demonstrated a strong association between FAG absent and ANF. CONCLUSION: FAG is an age-dependent EEG sleep parameter and absence of FAG in the 3-months to 5-years age group is highly suggestive of neurological disorder.Academia Brasileira de Neurologia - ABNEURO2007-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2007000200004Arquivos de Neuro-Psiquiatria v.65 n.2A 2007reponame:Arquivos de neuro-psiquiatria (Online)instname:Academia Brasileira de Neurologiainstacron:ABNEURO10.1590/S0004-282X2007000200004info:eu-repo/semantics/openAccessAucélio,Carlos NogueiraNiedermeyer,ErnstMelo,Áurea Nogueira deeng2010-05-05T00:00:00Zoai:scielo:S0004-282X2007000200004Revistahttp://www.scielo.br/anphttps://old.scielo.br/oai/scielo-oai.php||revista.arquivos@abneuro.org1678-42270004-282Xopendoar:2010-05-05T00:00Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologiafalse |
dc.title.none.fl_str_mv |
The frequency-amplitude gradient in the sleep EEG of children and its diagnostic significance |
title |
The frequency-amplitude gradient in the sleep EEG of children and its diagnostic significance |
spellingShingle |
The frequency-amplitude gradient in the sleep EEG of children and its diagnostic significance Aucélio,Carlos Nogueira pediatric sleep EEG frequency-amplitude gradient posterior slow waves neurological disorder |
title_short |
The frequency-amplitude gradient in the sleep EEG of children and its diagnostic significance |
title_full |
The frequency-amplitude gradient in the sleep EEG of children and its diagnostic significance |
title_fullStr |
The frequency-amplitude gradient in the sleep EEG of children and its diagnostic significance |
title_full_unstemmed |
The frequency-amplitude gradient in the sleep EEG of children and its diagnostic significance |
title_sort |
The frequency-amplitude gradient in the sleep EEG of children and its diagnostic significance |
author |
Aucélio,Carlos Nogueira |
author_facet |
Aucélio,Carlos Nogueira Niedermeyer,Ernst Melo,Áurea Nogueira de |
author_role |
author |
author2 |
Niedermeyer,Ernst Melo,Áurea Nogueira de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Aucélio,Carlos Nogueira Niedermeyer,Ernst Melo,Áurea Nogueira de |
dc.subject.por.fl_str_mv |
pediatric sleep EEG frequency-amplitude gradient posterior slow waves neurological disorder |
topic |
pediatric sleep EEG frequency-amplitude gradient posterior slow waves neurological disorder |
description |
OBJECTIVE: 1014 EEGs of children in the 3-months to 12-years age group were obtained during sleep with the purpose of assessing the frequency and amplitude gradient (FAG) its absence thought to be an indicator of neurological disorder. METHOD: FAG findings were divided into present/absent. The neurological findings were classified according to the presence (abnormal neurological finding-ANF) or absence (normal neurological finding-NNF) of neurological disorder. The association and significance between FAG and neurological findings was determined by prevalence ration (PR) and chi-square test (chi2). RESULTS: FAG showed a characteristic distributions of voltage output during non-REM sleep, stage II, in the 3-months to 5-years age group with NNF. The PR and the chi2 test demonstrated a strong association between FAG absent and ANF. CONCLUSION: FAG is an age-dependent EEG sleep parameter and absence of FAG in the 3-months to 5-years age group is highly suggestive of neurological disorder. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2007000200004 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2007000200004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0004-282X2007000200004 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Neurologia - ABNEURO |
publisher.none.fl_str_mv |
Academia Brasileira de Neurologia - ABNEURO |
dc.source.none.fl_str_mv |
Arquivos de Neuro-Psiquiatria v.65 n.2A 2007 reponame:Arquivos de neuro-psiquiatria (Online) instname:Academia Brasileira de Neurologia instacron:ABNEURO |
instname_str |
Academia Brasileira de Neurologia |
instacron_str |
ABNEURO |
institution |
ABNEURO |
reponame_str |
Arquivos de neuro-psiquiatria (Online) |
collection |
Arquivos de neuro-psiquiatria (Online) |
repository.name.fl_str_mv |
Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologia |
repository.mail.fl_str_mv |
||revista.arquivos@abneuro.org |
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1754212761396576256 |