Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity

Autores
Amor, T. A.; Russo, R.; Diez, I.; Bharath, P.; Zirovich, P.; Stramaglia, S.; Cortes, J. M.; de Arcangelis, L.; Chialvo, Dante Renato
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The brain exhibits a wide variety of spatiotemporal patterns of neuronal activity recorded using functional magnetic resonance imaging as the so-called blood-oxygenated-level–dependent (BOLD) signal. An active area of work includes efforts to best describe the plethora of these patterns evolving continuously in the brain. Here we explore the third-moment statistics of the brain BOLD signals in the resting state as a proxy to capture extreme BOLD events. We find that the brain signal exhibits typically nonzero skewness, with positive values for cortical regions and negative values for subcortical regions. Furthermore, the combined analysis of structural and functional connectivity demonstrates that relatively more connected regions exhibit activity with high negative skewness. Overall, these results highlight the relevance of recent results emphasizing that the spatiotemporal location of the relatively large-amplitude events in the BOLD time series contains relevant information to reproduce a number of features of the brain dynamics during resting state in health and disease.
Fil: Amor, T. A.. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Russo, R.. Università Degli Studi Di Napoli Federico Ii; Italia
Fil: Diez, I.. Cruces University Hospital; España
Fil: Bharath, P.. VA West Los Angeles Medical Center; Estados Unidos
Fil: Zirovich, P.. VA West Los Angeles Medical Center; Estados Unidos
Fil: Stramaglia, S.. Universita Degli Studi Di Bari; Italia. Basque Center for Applied Mathematics; España
Fil: Cortes, J. M.. Cruces University Hospital; España. The Basque Foundation for Science; España. University of the Basque Country; España
Fil: de Arcangelis, L.. Seconda Universita Degli Studi Di Napoli; Italia
Fil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Cientifico Tecnológico Rosario; Argentina
Materia
Mri
Complex Systems
Neuroimaging
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/13391
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivityAmor, T. A.Russo, R.Diez, I.Bharath, P.Zirovich, P.Stramaglia, S.Cortes, J. M.de Arcangelis, L.Chialvo, Dante RenatoMriComplex SystemsNeuroimaginghttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The brain exhibits a wide variety of spatiotemporal patterns of neuronal activity recorded using functional magnetic resonance imaging as the so-called blood-oxygenated-level–dependent (BOLD) signal. An active area of work includes efforts to best describe the plethora of these patterns evolving continuously in the brain. Here we explore the third-moment statistics of the brain BOLD signals in the resting state as a proxy to capture extreme BOLD events. We find that the brain signal exhibits typically nonzero skewness, with positive values for cortical regions and negative values for subcortical regions. Furthermore, the combined analysis of structural and functional connectivity demonstrates that relatively more connected regions exhibit activity with high negative skewness. Overall, these results highlight the relevance of recent results emphasizing that the spatiotemporal location of the relatively large-amplitude events in the BOLD time series contains relevant information to reproduce a number of features of the brain dynamics during resting state in health and disease.Fil: Amor, T. A.. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaFil: Russo, R.. Università Degli Studi Di Napoli Federico Ii; ItaliaFil: Diez, I.. Cruces University Hospital; EspañaFil: Bharath, P.. VA West Los Angeles Medical Center; Estados UnidosFil: Zirovich, P.. VA West Los Angeles Medical Center; Estados UnidosFil: Stramaglia, S.. Universita Degli Studi Di Bari; Italia. Basque Center for Applied Mathematics; EspañaFil: Cortes, J. M.. Cruces University Hospital; España. The Basque Foundation for Science; España. University of the Basque Country; EspañaFil: de Arcangelis, L.. Seconda Universita Degli Studi Di Napoli; ItaliaFil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Cientifico Tecnológico Rosario; ArgentinaIOP Publishing2015-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/13391Amor, T. A.; Russo, R.; Diez, I.; Bharath, P.; Zirovich, P.; et al.; Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity; IOP Publishing; Europhysics Letters; 111; 6; 9-2015; 1-6; 680070295-50751286-4854enginfo:eu-repo/semantics/altIdentifier/doi/10.1209/0295-5075/111/68007info:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1209/0295-5075/111/68007info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T12:59:56Zoai:ri.conicet.gov.ar:11336/13391instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 12:59:56.631CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity
title Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity
spellingShingle Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity
Amor, T. A.
Mri
Complex Systems
Neuroimaging
title_short Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity
title_full Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity
title_fullStr Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity
title_full_unstemmed Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity
title_sort Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity
dc.creator.none.fl_str_mv Amor, T. A.
Russo, R.
Diez, I.
Bharath, P.
Zirovich, P.
Stramaglia, S.
Cortes, J. M.
de Arcangelis, L.
Chialvo, Dante Renato
author Amor, T. A.
author_facet Amor, T. A.
Russo, R.
Diez, I.
Bharath, P.
Zirovich, P.
Stramaglia, S.
Cortes, J. M.
de Arcangelis, L.
Chialvo, Dante Renato
author_role author
author2 Russo, R.
Diez, I.
Bharath, P.
Zirovich, P.
Stramaglia, S.
Cortes, J. M.
de Arcangelis, L.
Chialvo, Dante Renato
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Mri
Complex Systems
Neuroimaging
topic Mri
Complex Systems
Neuroimaging
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The brain exhibits a wide variety of spatiotemporal patterns of neuronal activity recorded using functional magnetic resonance imaging as the so-called blood-oxygenated-level–dependent (BOLD) signal. An active area of work includes efforts to best describe the plethora of these patterns evolving continuously in the brain. Here we explore the third-moment statistics of the brain BOLD signals in the resting state as a proxy to capture extreme BOLD events. We find that the brain signal exhibits typically nonzero skewness, with positive values for cortical regions and negative values for subcortical regions. Furthermore, the combined analysis of structural and functional connectivity demonstrates that relatively more connected regions exhibit activity with high negative skewness. Overall, these results highlight the relevance of recent results emphasizing that the spatiotemporal location of the relatively large-amplitude events in the BOLD time series contains relevant information to reproduce a number of features of the brain dynamics during resting state in health and disease.
Fil: Amor, T. A.. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Russo, R.. Università Degli Studi Di Napoli Federico Ii; Italia
Fil: Diez, I.. Cruces University Hospital; España
Fil: Bharath, P.. VA West Los Angeles Medical Center; Estados Unidos
Fil: Zirovich, P.. VA West Los Angeles Medical Center; Estados Unidos
Fil: Stramaglia, S.. Universita Degli Studi Di Bari; Italia. Basque Center for Applied Mathematics; España
Fil: Cortes, J. M.. Cruces University Hospital; España. The Basque Foundation for Science; España. University of the Basque Country; España
Fil: de Arcangelis, L.. Seconda Universita Degli Studi Di Napoli; Italia
Fil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Cientifico Tecnológico Rosario; Argentina
description The brain exhibits a wide variety of spatiotemporal patterns of neuronal activity recorded using functional magnetic resonance imaging as the so-called blood-oxygenated-level–dependent (BOLD) signal. An active area of work includes efforts to best describe the plethora of these patterns evolving continuously in the brain. Here we explore the third-moment statistics of the brain BOLD signals in the resting state as a proxy to capture extreme BOLD events. We find that the brain signal exhibits typically nonzero skewness, with positive values for cortical regions and negative values for subcortical regions. Furthermore, the combined analysis of structural and functional connectivity demonstrates that relatively more connected regions exhibit activity with high negative skewness. Overall, these results highlight the relevance of recent results emphasizing that the spatiotemporal location of the relatively large-amplitude events in the BOLD time series contains relevant information to reproduce a number of features of the brain dynamics during resting state in health and disease.
publishDate 2015
dc.date.none.fl_str_mv 2015-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/13391
Amor, T. A.; Russo, R.; Diez, I.; Bharath, P.; Zirovich, P.; et al.; Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity; IOP Publishing; Europhysics Letters; 111; 6; 9-2015; 1-6; 68007
0295-5075
1286-4854
url http://hdl.handle.net/11336/13391
identifier_str_mv Amor, T. A.; Russo, R.; Diez, I.; Bharath, P.; Zirovich, P.; et al.; Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity; IOP Publishing; Europhysics Letters; 111; 6; 9-2015; 1-6; 68007
0295-5075
1286-4854
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1209/0295-5075/111/68007
info:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1209/0295-5075/111/68007
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842979847455899648
score 12.48226

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