Organization of brain networks governed by long-range connections index autistic traits in the general population

Autores
Barttfeld, Pablo; Amoruso, Lucía; Ais, Joaquin; Cukier, Sebastián; Bavassi, Mariana Luz; Tomio, Ailin; Manes, Facundo Francisco; Ibañez, Agustin Mariano; Sigman, Mariano
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: The dimensional approach to Autism Spectrum Disorder (ASD) considers ASD as the extreme of a dimension traversing through the entire population. We use electroencephalography (EEG) functional connectivity to explore its potential utility as a biomarker. We hypothesized that individual differences in autistic traits of typical subjects would involve a long-range connectivity diminution within the delta band. Methods: Resting state EEG functional connectivity was measured for 74 neurotypical subjects. All participants also provided a questionnaire (Social Responsiveness Score, SRS) by an informant who knows the participant in social settings. We conducted multivariate regression between SRS score and functional connectivity in all EEG frequency bands. We explored modulations of network graph metrics characterizing the optimality of a network by SRS score. Results: Our results show a decay in functional connectivity mainly within delta and theta band (the lower part of the EEG spectrum) associated with increasing amount of autistic traits. When inspecting the impact of autistic traits on the global organization of functional network we found that optimal properties of the network are inversely related to the amount of autistic traits, suggesting that the autistic dimension, throughout the entire population, modulates the efficiency of functional brain networks. Conclusions: EEG functional connectivity at low frequencies and its associated network properties may be associated with some autistic traits in the general population.
Fil: Barttfeld, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina
Fil: Amoruso, Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto Rosario de Investigaciones en Ciencias de la Educación; Argentina. Instituto de Neurologia Cognitiva; Argentina
Fil: Ais, Joaquin. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina
Fil: Cukier, Sebastián. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina
Fil: Bavassi, Mariana Luz. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina
Fil: Tomio, Ailin. Instituto de Neurologia Cognitiva; Argentina
Fil: Manes, Facundo Francisco. Instituto de Neurologia Cognitiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Neurologia Cognitiva; Argentina. Universidad Diego Portales; Chile
Fil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; Argentina
Materia
Autism Spectrum Disorders
Electroencephalography
Autistic Traits
Synchronization Likelihood
Small World
Long-Range Connections
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/2471
Acceder
id CONICETDig_f304415ec460fd783c039027d2c9d526
oai_identifier_str oai:ri.conicet.gov.ar:11336/2471
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Organization of brain networks governed by long-range connections index autistic traits in the general populationBarttfeld, PabloAmoruso, LucíaAis, JoaquinCukier, SebastiánBavassi, Mariana LuzTomio, AilinManes, Facundo FranciscoIbañez, Agustin MarianoSigman, MarianoAutism Spectrum DisordersElectroencephalographyAutistic TraitsSynchronization LikelihoodSmall WorldLong-Range Connectionshttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3https://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Background: The dimensional approach to Autism Spectrum Disorder (ASD) considers ASD as the extreme of a dimension traversing through the entire population. We use electroencephalography (EEG) functional connectivity to explore its potential utility as a biomarker. We hypothesized that individual differences in autistic traits of typical subjects would involve a long-range connectivity diminution within the delta band. Methods: Resting state EEG functional connectivity was measured for 74 neurotypical subjects. All participants also provided a questionnaire (Social Responsiveness Score, SRS) by an informant who knows the participant in social settings. We conducted multivariate regression between SRS score and functional connectivity in all EEG frequency bands. We explored modulations of network graph metrics characterizing the optimality of a network by SRS score. Results: Our results show a decay in functional connectivity mainly within delta and theta band (the lower part of the EEG spectrum) associated with increasing amount of autistic traits. When inspecting the impact of autistic traits on the global organization of functional network we found that optimal properties of the network are inversely related to the amount of autistic traits, suggesting that the autistic dimension, throughout the entire population, modulates the efficiency of functional brain networks. Conclusions: EEG functional connectivity at low frequencies and its associated network properties may be associated with some autistic traits in the general population.Fil: Barttfeld, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; ArgentinaFil: Amoruso, Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto Rosario de Investigaciones en Ciencias de la Educación; Argentina. Instituto de Neurologia Cognitiva; ArgentinaFil: Ais, Joaquin. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; ArgentinaFil: Cukier, Sebastián. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; ArgentinaFil: Bavassi, Mariana Luz. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; ArgentinaFil: Tomio, Ailin. Instituto de Neurologia Cognitiva; ArgentinaFil: Manes, Facundo Francisco. Instituto de Neurologia Cognitiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Neurologia Cognitiva; Argentina. Universidad Diego Portales; ChileFil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; ArgentinaBioMed Central2013-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/2471Barttfeld, Pablo; Amoruso, Lucía; Ais, Joaquin; Cukier, Sebastián; Bavassi, Mariana Luz; et al.; Organization of brain networks governed by long-range connections index autistic traits in the general population; BioMed Central; Journal of Neurodevelopmental Disorders; 5; 16; 6-2013; 1-91866-1947enginfo:eu-repo/semantics/altIdentifier/url/http://www.jneurodevdisorders.com/content/5/1/16info:eu-repo/semantics/altIdentifier/url/http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3698083/info:eu-repo/semantics/altIdentifier/doi/10.1186%2F1866-1955-5-16info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:32Zoai:ri.conicet.gov.ar:11336/2471instacron: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:34982025-09-29 09:33:33.045CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Organization of brain networks governed by long-range connections index autistic traits in the general population
title Organization of brain networks governed by long-range connections index autistic traits in the general population
spellingShingle Organization of brain networks governed by long-range connections index autistic traits in the general population
Barttfeld, Pablo
Autism Spectrum Disorders
Electroencephalography
Autistic Traits
Synchronization Likelihood
Small World
Long-Range Connections
title_short Organization of brain networks governed by long-range connections index autistic traits in the general population
title_full Organization of brain networks governed by long-range connections index autistic traits in the general population
title_fullStr Organization of brain networks governed by long-range connections index autistic traits in the general population
title_full_unstemmed Organization of brain networks governed by long-range connections index autistic traits in the general population
title_sort Organization of brain networks governed by long-range connections index autistic traits in the general population
dc.creator.none.fl_str_mv Barttfeld, Pablo
Amoruso, Lucía
Ais, Joaquin
Cukier, Sebastián
Bavassi, Mariana Luz
Tomio, Ailin
Manes, Facundo Francisco
Ibañez, Agustin Mariano
Sigman, Mariano
author Barttfeld, Pablo
author_facet Barttfeld, Pablo
Amoruso, Lucía
Ais, Joaquin
Cukier, Sebastián
Bavassi, Mariana Luz
Tomio, Ailin
Manes, Facundo Francisco
Ibañez, Agustin Mariano
Sigman, Mariano
author_role author
author2 Amoruso, Lucía
Ais, Joaquin
Cukier, Sebastián
Bavassi, Mariana Luz
Tomio, Ailin
Manes, Facundo Francisco
Ibañez, Agustin Mariano
Sigman, Mariano
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Autism Spectrum Disorders
Electroencephalography
Autistic Traits
Synchronization Likelihood
Small World
Long-Range Connections
topic Autism Spectrum Disorders
Electroencephalography
Autistic Traits
Synchronization Likelihood
Small World
Long-Range Connections
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Background: The dimensional approach to Autism Spectrum Disorder (ASD) considers ASD as the extreme of a dimension traversing through the entire population. We use electroencephalography (EEG) functional connectivity to explore its potential utility as a biomarker. We hypothesized that individual differences in autistic traits of typical subjects would involve a long-range connectivity diminution within the delta band. Methods: Resting state EEG functional connectivity was measured for 74 neurotypical subjects. All participants also provided a questionnaire (Social Responsiveness Score, SRS) by an informant who knows the participant in social settings. We conducted multivariate regression between SRS score and functional connectivity in all EEG frequency bands. We explored modulations of network graph metrics characterizing the optimality of a network by SRS score. Results: Our results show a decay in functional connectivity mainly within delta and theta band (the lower part of the EEG spectrum) associated with increasing amount of autistic traits. When inspecting the impact of autistic traits on the global organization of functional network we found that optimal properties of the network are inversely related to the amount of autistic traits, suggesting that the autistic dimension, throughout the entire population, modulates the efficiency of functional brain networks. Conclusions: EEG functional connectivity at low frequencies and its associated network properties may be associated with some autistic traits in the general population.
Fil: Barttfeld, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina
Fil: Amoruso, Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto Rosario de Investigaciones en Ciencias de la Educación; Argentina. Instituto de Neurologia Cognitiva; Argentina
Fil: Ais, Joaquin. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina
Fil: Cukier, Sebastián. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina
Fil: Bavassi, Mariana Luz. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina
Fil: Tomio, Ailin. Instituto de Neurologia Cognitiva; Argentina
Fil: Manes, Facundo Francisco. Instituto de Neurologia Cognitiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Neurologia Cognitiva; Argentina. Universidad Diego Portales; Chile
Fil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; Argentina. Universidad Torcuato Di Tella; Argentina
description Background: The dimensional approach to Autism Spectrum Disorder (ASD) considers ASD as the extreme of a dimension traversing through the entire population. We use electroencephalography (EEG) functional connectivity to explore its potential utility as a biomarker. We hypothesized that individual differences in autistic traits of typical subjects would involve a long-range connectivity diminution within the delta band. Methods: Resting state EEG functional connectivity was measured for 74 neurotypical subjects. All participants also provided a questionnaire (Social Responsiveness Score, SRS) by an informant who knows the participant in social settings. We conducted multivariate regression between SRS score and functional connectivity in all EEG frequency bands. We explored modulations of network graph metrics characterizing the optimality of a network by SRS score. Results: Our results show a decay in functional connectivity mainly within delta and theta band (the lower part of the EEG spectrum) associated with increasing amount of autistic traits. When inspecting the impact of autistic traits on the global organization of functional network we found that optimal properties of the network are inversely related to the amount of autistic traits, suggesting that the autistic dimension, throughout the entire population, modulates the efficiency of functional brain networks. Conclusions: EEG functional connectivity at low frequencies and its associated network properties may be associated with some autistic traits in the general population.
publishDate 2013
dc.date.none.fl_str_mv 2013-06
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/11336/2471
Barttfeld, Pablo; Amoruso, Lucía; Ais, Joaquin; Cukier, Sebastián; Bavassi, Mariana Luz; et al.; Organization of brain networks governed by long-range connections index autistic traits in the general population; BioMed Central; Journal of Neurodevelopmental Disorders; 5; 16; 6-2013; 1-9
1866-1947
url http://hdl.handle.net/11336/2471
identifier_str_mv Barttfeld, Pablo; Amoruso, Lucía; Ais, Joaquin; Cukier, Sebastián; Bavassi, Mariana Luz; et al.; Organization of brain networks governed by long-range connections index autistic traits in the general population; BioMed Central; Journal of Neurodevelopmental Disorders; 5; 16; 6-2013; 1-9
1866-1947
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.jneurodevdisorders.com/content/5/1/16
info:eu-repo/semantics/altIdentifier/url/http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3698083/
info:eu-repo/semantics/altIdentifier/doi/10.1186%2F1866-1955-5-16
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
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_ 1844613031329267712
score 13.070432

Publicaciones similares