State dependent complexity of local field potentials in the primary visual cortex

Detalhes bibliográficos
Ano de defesa: 2024
Autor(a) principal: JUNGMANN, Rafael Magalhães
Orientador(a): CARELLI, Pedro Valadão
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Universidade Federal de Pernambuco
Programa de Pós-Graduação: Programa de Pos Graduacao em Fisica
Departamento: Não Informado pela instituição
País: Brasil
Palavras-chave em Português:
LFP
Estado cortical
Complexidade estatística
Variabilidade de disparo
Link de acesso: https://repositorio.ufpe.br/handle/123456789/59229
Resumo: The Local field potential (LFP) captures the combined electric activity of neurons in a region of brain tissue. Although widely used to study brain rhythms and neural circuits, the precise relationship between LFPs and spiking activity remains poorly understood, in particular, regarding cortical state. Using a symbolic representation based on Bandt-Pompe technique, this work bridges that gap by finding consistent relations between cortical state, as proxied by the coefficient of variation (CV) of spiking activity and information-theory quantifiers-Shannon entropy and statistical complexity—of LFP data from urethane-anesthetized rats and freely moving mice. Our findings demonstrate that LFP’s statistical complexity and Shannon entropy in the deep layers of the primary visual cortex (V1) vary consistently with spiking variability. We further explored these quantifiers across cortical layers in V1, showing that statistical complexity is sensitive to depth, peaking in mid-layer 5 as CV increases. Additionally, we show LFP’s statistical complexity varies across behavioral states of freely moving mice.
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spelling JUNGMANN, Rafael Magalhãeshttp://lattes.cnpq.br/3576318910439025http://lattes.cnpq.br/0869469262114149http://lattes.cnpq.br/4110109220389767CARELLI, Pedro ValadãoVASCONCELOS, Nivaldo Antônio Portela de2024-12-17T15:35:15Z2024-12-17T15:35:15Z2024-12-02JUNGMANN, Rafael Magalhães. State dependent complexity of local field potentials in the primary visual cortex. 2024. Tese (Doutorado em Física) – Universidade Federal de Pernambuco, Recife, 2024.https://repositorio.ufpe.br/handle/123456789/59229The Local field potential (LFP) captures the combined electric activity of neurons in a region of brain tissue. Although widely used to study brain rhythms and neural circuits, the precise relationship between LFPs and spiking activity remains poorly understood, in particular, regarding cortical state. Using a symbolic representation based on Bandt-Pompe technique, this work bridges that gap by finding consistent relations between cortical state, as proxied by the coefficient of variation (CV) of spiking activity and information-theory quantifiers-Shannon entropy and statistical complexity—of LFP data from urethane-anesthetized rats and freely moving mice. Our findings demonstrate that LFP’s statistical complexity and Shannon entropy in the deep layers of the primary visual cortex (V1) vary consistently with spiking variability. We further explored these quantifiers across cortical layers in V1, showing that statistical complexity is sensitive to depth, peaking in mid-layer 5 as CV increases. Additionally, we show LFP’s statistical complexity varies across behavioral states of freely moving mice.O potencial de campo local (LFP) captura a atividade elétrica combinada dos neurônios em uma região do tecido cerebral. Embora amplamente utilizado para estudar ritmos cerebrais e circuitos neurais, a relação precisa entre os LFPs e a atividade de disparo de neurônios ainda é pouco compreendida, especialmente no que diz respeito ao estado cortical. Utilizando uma rep- resentação simbólica baseada na técnica de Bandt-Pompe, este trabalho preenche essa lacuna ao encontrar relações consistentes entre o estado cortical, representado pelo coeficiente de variação (CV) da atividade de disparo, e os quantificadores de teoria da informação—entropia de Shannon e complexidade estatística—de dados de LFP obtidos de ratos anestesiados com uretana e camundongos em movimento livre. Nossos resultados demonstram que a complex- idade estatística e a entropia de Shannon dos LFPs nas camadas profundas do córtex visual primário (V1) variam consistentemente com a variabilidade de disparo dos neurônios. Explo- ramos ainda esses quantificadores ao longo das camadas corticais no V1, mostrando que a complexidade estatística é sensível à profundidade, atingindo seu pico na metade da camada 5 à medida que o CV aumenta. Além disso, mostramos que a complexidade estatística dos LFPs varia entre diferentes estados comportamentais dos camundongos em movimento livre.engUniversidade Federal de PernambucoPrograma de Pos Graduacao em FisicaUFPEBrasilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessLFPEstado corticalComplexidade estatísticaVariabilidade de disparoState dependent complexity of local field potentials in the primary visual cortexinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisdoutoradoreponame:Repositório Institucional da UFPEinstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPEORIGINALTESE Rafael Magalhaes Jungmann.pdfTESE Rafael Magalhaes Jungmann.pdfapplication/pdf8861280https://repositorio.ufpe.br/bitstream/123456789/59229/1/TESE%20Rafael%20Magalhaes%20Jungmann.pdf84b536e73f00c0b980b4cfaf49d57d8cMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811https://repositorio.ufpe.br/bitstream/123456789/59229/2/license_rdfe39d27027a6cc9cb039ad269a5db8e34MD52LICENSElicense.txtlicense.txttext/plain; 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dc.title.pt_BR.fl_str_mv State dependent complexity of local field potentials in the primary visual cortex
title State dependent complexity of local field potentials in the primary visual cortex
spellingShingle State dependent complexity of local field potentials in the primary visual cortex
JUNGMANN, Rafael Magalhães
LFP
Estado cortical
Complexidade estatística
Variabilidade de disparo
title_short State dependent complexity of local field potentials in the primary visual cortex
title_full State dependent complexity of local field potentials in the primary visual cortex
title_fullStr State dependent complexity of local field potentials in the primary visual cortex
title_full_unstemmed State dependent complexity of local field potentials in the primary visual cortex
title_sort State dependent complexity of local field potentials in the primary visual cortex
author JUNGMANN, Rafael Magalhães
author_facet JUNGMANN, Rafael Magalhães
author_role author
dc.contributor.authorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/3576318910439025
dc.contributor.advisorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/0869469262114149
dc.contributor.advisor-coLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/4110109220389767
dc.contributor.author.fl_str_mv JUNGMANN, Rafael Magalhães
dc.contributor.advisor1.fl_str_mv CARELLI, Pedro Valadão
dc.contributor.advisor-co1.fl_str_mv VASCONCELOS, Nivaldo Antônio Portela de
contributor_str_mv CARELLI, Pedro Valadão
VASCONCELOS, Nivaldo Antônio Portela de
dc.subject.por.fl_str_mv LFP
Estado cortical
Complexidade estatística
Variabilidade de disparo
topic LFP
Estado cortical
Complexidade estatística
Variabilidade de disparo
description The Local field potential (LFP) captures the combined electric activity of neurons in a region of brain tissue. Although widely used to study brain rhythms and neural circuits, the precise relationship between LFPs and spiking activity remains poorly understood, in particular, regarding cortical state. Using a symbolic representation based on Bandt-Pompe technique, this work bridges that gap by finding consistent relations between cortical state, as proxied by the coefficient of variation (CV) of spiking activity and information-theory quantifiers-Shannon entropy and statistical complexity—of LFP data from urethane-anesthetized rats and freely moving mice. Our findings demonstrate that LFP’s statistical complexity and Shannon entropy in the deep layers of the primary visual cortex (V1) vary consistently with spiking variability. We further explored these quantifiers across cortical layers in V1, showing that statistical complexity is sensitive to depth, peaking in mid-layer 5 as CV increases. Additionally, we show LFP’s statistical complexity varies across behavioral states of freely moving mice.
publishDate 2024
dc.date.accessioned.fl_str_mv 2024-12-17T15:35:15Z
dc.date.available.fl_str_mv 2024-12-17T15:35:15Z
dc.date.issued.fl_str_mv 2024-12-02
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
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status_str publishedVersion
dc.identifier.citation.fl_str_mv JUNGMANN, Rafael Magalhães. State dependent complexity of local field potentials in the primary visual cortex. 2024. Tese (Doutorado em Física) – Universidade Federal de Pernambuco, Recife, 2024.
dc.identifier.uri.fl_str_mv https://repositorio.ufpe.br/handle/123456789/59229
identifier_str_mv JUNGMANN, Rafael Magalhães. State dependent complexity of local field potentials in the primary visual cortex. 2024. Tese (Doutorado em Física) – Universidade Federal de Pernambuco, Recife, 2024.
url https://repositorio.ufpe.br/handle/123456789/59229
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Pernambuco
dc.publisher.program.fl_str_mv Programa de Pos Graduacao em Fisica
dc.publisher.initials.fl_str_mv UFPE
dc.publisher.country.fl_str_mv Brasil
publisher.none.fl_str_mv Universidade Federal de Pernambuco
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFPE
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instname_str Universidade Federal de Pernambuco (UFPE)
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