Nonlinear Transfer Entropy to Assess the Neurovascular Coupling in Premature Neonates

In the adult brain, it is well known that increases in local neural activity trigger changes in regional blood flow and, thus, changes in cerebral energy metabolism. This regulation mechanism is called neurovascular coupling (NVC). It is not yet clear to what extent this mechanism is present in the...

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Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/28884
Acceso en línea:
https://doi.org/10.1007/978-3-030-34461-0_2
https://repository.urosario.edu.co/handle/10336/28884
Palabra clave:
Neurometabolic Coupling (NMC)
Transfer Entropy (TE)
EEG
NIRS
Premature Neonates
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id EDOCUR2_67d6a71f5b0d2bc30bd6c32ea421371a
oai_identifier_str oai:repository.urosario.edu.co:10336/28884
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 14139512600a78c0c92-7a49-43a9-b9a6-9891fe5a2da7-155320cda-97a5-498e-9555-cec06026ceda-1030b734f-9329-40c5-99ee-278c8db6925d-1373c77e3-5093-43fd-831b-0db88cefa50d-1a3aaad06-8ea7-431a-890f-bbab1341f9cb-12020-08-28T15:50:00Z2020-08-28T15:50:00Z2020-01-01In the adult brain, it is well known that increases in local neural activity trigger changes in regional blood flow and, thus, changes in cerebral energy metabolism. This regulation mechanism is called neurovascular coupling (NVC). It is not yet clear to what extent this mechanism is present in the premature brain. In this study, we explore the use of transfer entropy (TE) in order to compute the nonlinear coupling between changes in brain function, assessed by means of EEG, and changes in brain oxygenation, assessed by means of near-infrared spectroscopy (NIRS). In a previous study, we measured the coupling between both variables using a linear model to compute TE. The results indicated that changes in brain oxygenation were likely to precede changes in EEG activity. However, using a nonlinear and nonparametric approach to compute TE, the results indicate an opposite directionality of this coupling. The source of the different results provided by the linear and nonlinear TE is unclear and needs further research. In this study, we present the results from a cohort of 21 premature neonates. Results indicate that TE values computed using the nonlinear approach are able to discriminate between neonates with brain abnormalities and healthy neonates, indicating a less functional NVC in neonates with brain abnormalities. Keywordsapplication/pdfhttps://doi.org/10.1007/978-3-030-34461-0_2ISBN: 978-1-4419-7755-7https://repository.urosario.edu.co/handle/10336/28884engspringer Nature1711Advances in Experimental Medicine and BiologyVol. 1232Advances in Experimental Medicine and Biology, ISBN: 978-1-4419-7755-7, Vol.1232 (2020); pp. 11-17https://link.springer.com/chapter/10.1007/978-3-030-34461-0_2Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecAdvances in Experimental Medicine and Biologyinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURNeurometabolic Coupling (NMC)Transfer Entropy (TE)EEGNIRSPremature NeonatesNonlinear Transfer Entropy to Assess the Neurovascular Coupling in Premature NeonatesEntropía de transferencia no lineal para evaluar el acoplamiento neurovascular en recién nacidos prematurosbookPartParte de librohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_3248Caicedo Dorado, AlexanderThewissen, LiesbethNaulaers, GunnarSmits, AnneVan Huffel. SabineAllegaert, Karel10336/28884oai:repository.urosario.edu.co:10336/288842021-06-03 00:49:42.73https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Nonlinear Transfer Entropy to Assess the Neurovascular Coupling in Premature Neonates
dc.title.TranslatedTitle.spa.fl_str_mv Entropía de transferencia no lineal para evaluar el acoplamiento neurovascular en recién nacidos prematuros
title Nonlinear Transfer Entropy to Assess the Neurovascular Coupling in Premature Neonates
spellingShingle Nonlinear Transfer Entropy to Assess the Neurovascular Coupling in Premature Neonates
Neurometabolic Coupling (NMC)
Transfer Entropy (TE)
EEG
NIRS
Premature Neonates
title_short Nonlinear Transfer Entropy to Assess the Neurovascular Coupling in Premature Neonates
title_full Nonlinear Transfer Entropy to Assess the Neurovascular Coupling in Premature Neonates
title_fullStr Nonlinear Transfer Entropy to Assess the Neurovascular Coupling in Premature Neonates
title_full_unstemmed Nonlinear Transfer Entropy to Assess the Neurovascular Coupling in Premature Neonates
title_sort Nonlinear Transfer Entropy to Assess the Neurovascular Coupling in Premature Neonates
dc.subject.keyword.spa.fl_str_mv Neurometabolic Coupling (NMC)
Transfer Entropy (TE)
EEG
NIRS
Premature Neonates
topic Neurometabolic Coupling (NMC)
Transfer Entropy (TE)
EEG
NIRS
Premature Neonates
description In the adult brain, it is well known that increases in local neural activity trigger changes in regional blood flow and, thus, changes in cerebral energy metabolism. This regulation mechanism is called neurovascular coupling (NVC). It is not yet clear to what extent this mechanism is present in the premature brain. In this study, we explore the use of transfer entropy (TE) in order to compute the nonlinear coupling between changes in brain function, assessed by means of EEG, and changes in brain oxygenation, assessed by means of near-infrared spectroscopy (NIRS). In a previous study, we measured the coupling between both variables using a linear model to compute TE. The results indicated that changes in brain oxygenation were likely to precede changes in EEG activity. However, using a nonlinear and nonparametric approach to compute TE, the results indicate an opposite directionality of this coupling. The source of the different results provided by the linear and nonlinear TE is unclear and needs further research. In this study, we present the results from a cohort of 21 premature neonates. Results indicate that TE values computed using the nonlinear approach are able to discriminate between neonates with brain abnormalities and healthy neonates, indicating a less functional NVC in neonates with brain abnormalities. Keywords
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-08-28T15:50:00Z
dc.date.available.none.fl_str_mv 2020-08-28T15:50:00Z
dc.date.created.spa.fl_str_mv 2020-01-01
dc.type.eng.fl_str_mv bookPart
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_3248
dc.type.spa.spa.fl_str_mv Parte de libro
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1007/978-3-030-34461-0_2
dc.identifier.issn.none.fl_str_mv ISBN: 978-1-4419-7755-7
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/28884
url https://doi.org/10.1007/978-3-030-34461-0_2
https://repository.urosario.edu.co/handle/10336/28884
identifier_str_mv ISBN: 978-1-4419-7755-7
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 17
dc.relation.citationStartPage.none.fl_str_mv 11
dc.relation.citationTitle.none.fl_str_mv Advances in Experimental Medicine and Biology
dc.relation.citationVolume.none.fl_str_mv Vol. 1232
dc.relation.ispartof.spa.fl_str_mv Advances in Experimental Medicine and Biology, ISBN: 978-1-4419-7755-7, Vol.1232 (2020); pp. 11-17
dc.relation.uri.spa.fl_str_mv https://link.springer.com/chapter/10.1007/978-3-030-34461-0_2
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.acceso.spa.fl_str_mv Restringido (Acceso a grupos específicos)
rights_invalid_str_mv Restringido (Acceso a grupos específicos)
http://purl.org/coar/access_right/c_16ec
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv springer Nature
dc.source.spa.fl_str_mv Advances in Experimental Medicine and Biology
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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