Improvement in hippocampal kindling analysis through computational processing data
Autor(a) principal: | |
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Data de Publicação: | 2009 |
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=S0004-282X2009000400019 |
Resumo: | The kindling phenomenon is classically investigated in epileptology research. The present study aims to provide further information about hippocampal kindling through computational processing data. Adult Wistar rats were implanted with dorsal hippocampal and frontal neocortical electrodes to perform the experiment. The processing data was obtained using the Spike2 and Matlab softwares. An inverse relationship between the number of "wet dog shakes" and the Racine's motor stages development was found. Moreover it was observed a significant increase in the afterdischarge (AD) duration and its frequency content. The highest frequencies were, however, only reached at the beginning of behavioral seizures. During the primary AD, fast transients (ripples) were registered in both hippocampi superimposed to slower waves. This experiment highlights the usefulness of computational processing applied to animal models of temporal lobe epilepsy and supports a relevant role of the high frequency discharges in temporal epileptogenesis. |
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Arquivos de neuro-psiquiatria (Online) |
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Improvement in hippocampal kindling analysis through computational processing datahippocampal kindlingtemporal epilepsyexperimental modelThe kindling phenomenon is classically investigated in epileptology research. The present study aims to provide further information about hippocampal kindling through computational processing data. Adult Wistar rats were implanted with dorsal hippocampal and frontal neocortical electrodes to perform the experiment. The processing data was obtained using the Spike2 and Matlab softwares. An inverse relationship between the number of "wet dog shakes" and the Racine's motor stages development was found. Moreover it was observed a significant increase in the afterdischarge (AD) duration and its frequency content. The highest frequencies were, however, only reached at the beginning of behavioral seizures. During the primary AD, fast transients (ripples) were registered in both hippocampi superimposed to slower waves. This experiment highlights the usefulness of computational processing applied to animal models of temporal lobe epilepsy and supports a relevant role of the high frequency discharges in temporal epileptogenesis.Academia Brasileira de Neurologia - ABNEURO2009-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2009000400019Arquivos de Neuro-Psiquiatria v.67 n.3a 2009reponame:Arquivos de neuro-psiquiatria (Online)instname:Academia Brasileira de Neurologiainstacron:ABNEURO10.1590/S0004-282X2009000400019info:eu-repo/semantics/openAccessCordeiro,Joacir GraciolliCapurro,AlbertoAertsen,AdCordeiro,Karina KohnAraújo,João CândidoSchulze-Bonhage,Andreaseng2009-08-21T00:00:00Zoai:scielo:S0004-282X2009000400019Revistahttp://www.scielo.br/anphttps://old.scielo.br/oai/scielo-oai.php||revista.arquivos@abneuro.org1678-42270004-282Xopendoar:2009-08-21T00:00Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologiafalse |
dc.title.none.fl_str_mv |
Improvement in hippocampal kindling analysis through computational processing data |
title |
Improvement in hippocampal kindling analysis through computational processing data |
spellingShingle |
Improvement in hippocampal kindling analysis through computational processing data Cordeiro,Joacir Graciolli hippocampal kindling temporal epilepsy experimental model |
title_short |
Improvement in hippocampal kindling analysis through computational processing data |
title_full |
Improvement in hippocampal kindling analysis through computational processing data |
title_fullStr |
Improvement in hippocampal kindling analysis through computational processing data |
title_full_unstemmed |
Improvement in hippocampal kindling analysis through computational processing data |
title_sort |
Improvement in hippocampal kindling analysis through computational processing data |
author |
Cordeiro,Joacir Graciolli |
author_facet |
Cordeiro,Joacir Graciolli Capurro,Alberto Aertsen,Ad Cordeiro,Karina Kohn Araújo,João Cândido Schulze-Bonhage,Andreas |
author_role |
author |
author2 |
Capurro,Alberto Aertsen,Ad Cordeiro,Karina Kohn Araújo,João Cândido Schulze-Bonhage,Andreas |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Cordeiro,Joacir Graciolli Capurro,Alberto Aertsen,Ad Cordeiro,Karina Kohn Araújo,João Cândido Schulze-Bonhage,Andreas |
dc.subject.por.fl_str_mv |
hippocampal kindling temporal epilepsy experimental model |
topic |
hippocampal kindling temporal epilepsy experimental model |
description |
The kindling phenomenon is classically investigated in epileptology research. The present study aims to provide further information about hippocampal kindling through computational processing data. Adult Wistar rats were implanted with dorsal hippocampal and frontal neocortical electrodes to perform the experiment. The processing data was obtained using the Spike2 and Matlab softwares. An inverse relationship between the number of "wet dog shakes" and the Racine's motor stages development was found. Moreover it was observed a significant increase in the afterdischarge (AD) duration and its frequency content. The highest frequencies were, however, only reached at the beginning of behavioral seizures. During the primary AD, fast transients (ripples) were registered in both hippocampi superimposed to slower waves. This experiment highlights the usefulness of computational processing applied to animal models of temporal lobe epilepsy and supports a relevant role of the high frequency discharges in temporal epileptogenesis. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-09-01 |
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=S0004-282X2009000400019 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2009000400019 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0004-282X2009000400019 |
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.67 n.3a 2009 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 |
_version_ |
1754212766649942016 |