Organization of brain networks governed by long-range connections index autistic traits in the general population
Background: The dimensional approach to autism spectrum disorder (ASD) considers ASD as the extreme of a dimension traversing through the entire population. We explored the potential utility of electroencephalography (EEG) functional connectivity as a biomarker. We hypothesized that individual diffe...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_18661947_v5_n1_p_Barttfeld |
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todo:paper_18661947_v5_n1_p_Barttfeld2023-10-03T16:33:37Z Organization of brain networks governed by long-range connections index autistic traits in the general population Barttfeld, P. Amoruso, L. Ais, J. Cukier, S. Bavassi, L. Tomio, A. Manes, F. Ibanez, A. Sigman, M. Autism spectrum disorders Autistic traits Electroencephalography Long-range connections Small world Synchronization likelihood adult alpha rhythm Article autism beta rhythm corpus callosum data analysis software delta rhythm electroencephalography female functional connectivity gamma rhythm human male priority journal resting state network sleep spindle social adaptation theta rhythm Background: The dimensional approach to autism spectrum disorder (ASD) considers ASD as the extreme of a dimension traversing through the entire population. We explored the potential utility of electroencephalography (EEG) functional connectivity 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 Scale, SRS) that was completed by an informant who knows the participant in social settings. We conducted multivariate regression between the SRS score and functional connectivity in all EEG frequency bands. We explored modulations of network graph metrics characterizing the optimality of a network using the SRS score. Results: Our results show a decay in functional connectivity mainly within the delta and theta bands (the lower part of the EEG spectrum) associated with an increasing number of autistic traits. When inspecting the impact of autistic traits on the global organization of the functional network, we found that the optimal properties of the network are inversely related to the number 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. © 2013 Barttfeld et al.; licensee BioMed Central Ltd. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_18661947_v5_n1_p_Barttfeld |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Autism spectrum disorders Autistic traits Electroencephalography Long-range connections Small world Synchronization likelihood adult alpha rhythm Article autism beta rhythm corpus callosum data analysis software delta rhythm electroencephalography female functional connectivity gamma rhythm human male priority journal resting state network sleep spindle social adaptation theta rhythm |
| spellingShingle |
Autism spectrum disorders Autistic traits Electroencephalography Long-range connections Small world Synchronization likelihood adult alpha rhythm Article autism beta rhythm corpus callosum data analysis software delta rhythm electroencephalography female functional connectivity gamma rhythm human male priority journal resting state network sleep spindle social adaptation theta rhythm Barttfeld, P. Amoruso, L. Ais, J. Cukier, S. Bavassi, L. Tomio, A. Manes, F. Ibanez, A. Sigman, M. Organization of brain networks governed by long-range connections index autistic traits in the general population |
| topic_facet |
Autism spectrum disorders Autistic traits Electroencephalography Long-range connections Small world Synchronization likelihood adult alpha rhythm Article autism beta rhythm corpus callosum data analysis software delta rhythm electroencephalography female functional connectivity gamma rhythm human male priority journal resting state network sleep spindle social adaptation theta rhythm |
| description |
Background: The dimensional approach to autism spectrum disorder (ASD) considers ASD as the extreme of a dimension traversing through the entire population. We explored the potential utility of electroencephalography (EEG) functional connectivity 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 Scale, SRS) that was completed by an informant who knows the participant in social settings. We conducted multivariate regression between the SRS score and functional connectivity in all EEG frequency bands. We explored modulations of network graph metrics characterizing the optimality of a network using the SRS score. Results: Our results show a decay in functional connectivity mainly within the delta and theta bands (the lower part of the EEG spectrum) associated with an increasing number of autistic traits. When inspecting the impact of autistic traits on the global organization of the functional network, we found that the optimal properties of the network are inversely related to the number 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. © 2013 Barttfeld et al.; licensee BioMed Central Ltd. |
| format |
JOUR |
| author |
Barttfeld, P. Amoruso, L. Ais, J. Cukier, S. Bavassi, L. Tomio, A. Manes, F. Ibanez, A. Sigman, M. |
| author_facet |
Barttfeld, P. Amoruso, L. Ais, J. Cukier, S. Bavassi, L. Tomio, A. Manes, F. Ibanez, A. Sigman, M. |
| author_sort |
Barttfeld, P. |
| title |
Organization of brain networks governed by long-range connections index autistic traits in the general population |
| 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 |
| url |
http://hdl.handle.net/20.500.12110/paper_18661947_v5_n1_p_Barttfeld |
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