{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yoon N"],"funding":["Bio & Medical Technology Development Program","Technology Innovation Program","Ministry of Trade, Industry, and Energy","Institute of Information & communications Technology Planning & Evaluation","National Research Foundation of Korea"],"pagination":["1055-1068"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9806512"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["19(12)"],"pubmed_abstract":["<h4>Objective</h4>Underconnectivity in the resting brain is not consistent in autism spectrum disorder (ASD). However, it is known that the functional connectivity of the default mode network is mainly decreased in childhood ASD. This study investigated the brain network topology as the changes in the connection strength and network efficiency in childhood ASD, including the early developmental stages.<h4>Methods</h4>In this study, 31 ASD children aged 2-11 years were compared with 31 age and sex-matched children showing typical development. We explored the functional connectivity based on graph filtration by assessing the single linkage distance and global and nodal efficiencies using resting-state functional magnetic resonance imaging. The relationship between functional connectivity and"],"journal":["Psychiatry investigation"],"pubmed_title":["Alterations in Social Brain Network Topology at Rest in Children With Autism Spectrum Disorder."],"pmcid":["PMC9806512"],"funding_grant_id":["2020M3E5D9080787 to B.-N.K","2022-0-00375-001","20002769","2020R1A2C2011532 to H.K."],"pubmed_authors":["Jang S","Kang H","Ahn YD","Kim JI","Oh MR","Yang CM","Lee J","Kim BN","Huh Y","Lee H","Yoon N","Lee DS"],"additional_accession":[]},"is_claimable":false,"name":"Alterations in Social Brain Network Topology at Rest in Children With Autism Spectrum Disorder.","description":"<h4>Objective</h4>Underconnectivity in the resting brain is not consistent in autism spectrum disorder (ASD). However, it is known that the functional connectivity of the default mode network is mainly decreased in childhood ASD. This study investigated the brain network topology as the changes in the connection strength and network efficiency in childhood ASD, including the early developmental stages.<h4>Methods</h4>In this study, 31 ASD children aged 2-11 years were compared with 31 age and sex-matched children showing typical development. We explored the functional connectivity based on graph filtration by assessing the single linkage distance and global and nodal efficiencies using resting-state functional magnetic resonance imaging. The relationship between functional connectivity and","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Dec","modification":"2025-04-04T19:09:00.569Z","creation":"2025-04-04T19:09:00.569Z"},"accession":"S-EPMC9806512","cross_references":{"pubmed":["36588440"],"doi":["10.30773/pi.2022.0174"]}}