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Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions
Individuals with Autism Spectrum Conditions (ASC) have difficulties in social interaction and communication, which is reflected in hypoactivation of brain regions engaged in social processing, such as medial prefrontal cortex (mPFC), amygdala and insula. Resting state studies in ASC have identified...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3739917/ https://www.ncbi.nlm.nih.gov/pubmed/22563003 http://dx.doi.org/10.1093/scan/nss053 |
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author | von dem Hagen, Elisabeth A. H. Stoyanova, Raliza S. Baron-Cohen, Simon Calder, Andrew J. |
author_facet | von dem Hagen, Elisabeth A. H. Stoyanova, Raliza S. Baron-Cohen, Simon Calder, Andrew J. |
author_sort | von dem Hagen, Elisabeth A. H. |
collection | PubMed |
description | Individuals with Autism Spectrum Conditions (ASC) have difficulties in social interaction and communication, which is reflected in hypoactivation of brain regions engaged in social processing, such as medial prefrontal cortex (mPFC), amygdala and insula. Resting state studies in ASC have identified reduced connectivity of the default mode network (DMN), which includes mPFC, suggesting that other resting state networks incorporating ‘social’ brain regions may also be abnormal. Using Seed-based Connectivity and Group Independent Component Analysis (ICA) approaches, we looked at resting functional connectivity in ASC between specific ‘social’ brain regions, as well as within and between whole networks incorporating these regions. We found reduced functional connectivity within the DMN in individuals with ASC, using both ICA and seed-based approaches. Two further networks identified by ICA, the salience network, incorporating the insula and a medial temporal lobe network, incorporating the amygdala, showed reduced inter-network connectivity. This was underlined by reduced seed-based connectivity between the insula and amygdala. The results demonstrate significantly reduced functional connectivity within and between resting state networks incorporating ‘social’ brain regions. This reduced connectivity may result in difficulties in communication and integration of information across these networks, which could contribute to the impaired processing of social signals in ASC. |
format | Online Article Text |
id | pubmed-3739917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-37399172013-08-12 Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions von dem Hagen, Elisabeth A. H. Stoyanova, Raliza S. Baron-Cohen, Simon Calder, Andrew J. Soc Cogn Affect Neurosci Original Articles Individuals with Autism Spectrum Conditions (ASC) have difficulties in social interaction and communication, which is reflected in hypoactivation of brain regions engaged in social processing, such as medial prefrontal cortex (mPFC), amygdala and insula. Resting state studies in ASC have identified reduced connectivity of the default mode network (DMN), which includes mPFC, suggesting that other resting state networks incorporating ‘social’ brain regions may also be abnormal. Using Seed-based Connectivity and Group Independent Component Analysis (ICA) approaches, we looked at resting functional connectivity in ASC between specific ‘social’ brain regions, as well as within and between whole networks incorporating these regions. We found reduced functional connectivity within the DMN in individuals with ASC, using both ICA and seed-based approaches. Two further networks identified by ICA, the salience network, incorporating the insula and a medial temporal lobe network, incorporating the amygdala, showed reduced inter-network connectivity. This was underlined by reduced seed-based connectivity between the insula and amygdala. The results demonstrate significantly reduced functional connectivity within and between resting state networks incorporating ‘social’ brain regions. This reduced connectivity may result in difficulties in communication and integration of information across these networks, which could contribute to the impaired processing of social signals in ASC. Oxford University Press 2013-08 2012-06-08 /pmc/articles/PMC3739917/ /pubmed/22563003 http://dx.doi.org/10.1093/scan/nss053 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles von dem Hagen, Elisabeth A. H. Stoyanova, Raliza S. Baron-Cohen, Simon Calder, Andrew J. Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions |
title | Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions |
title_full | Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions |
title_fullStr | Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions |
title_full_unstemmed | Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions |
title_short | Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions |
title_sort | reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3739917/ https://www.ncbi.nlm.nih.gov/pubmed/22563003 http://dx.doi.org/10.1093/scan/nss053 |
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