biostudies-literatureUnknown16(11)Zhou R<h4>Objective</h4>A neurodevelopmental illness termed as the autism spectrum disorder (ASD) is described by social interaction impairments. Previous studies employing resting-state functional imaging (rs-fMRI) identified both hyperconnectivity and hypoconnectivity patterns in ASD people. However, specific patterns of connectivity within and between networks linked to ASD remain largely unexplored.<h4>Methods</h4>We utilized a meticulously selected subset of high-quality data, comprising 45 individuals diagnosed with ASD and 47 HCs, obtained from the ABIDE dataset. The pre-processed rs-fMRI time series signals were partitioned into ninety regions of interest. We focused on eight intrinsic connectivity networks and further performed intra- and inter-network analysis. Finally, support vector Aging10004-10015https://www.ebi.ac.uk/biostudies/studies/S-EPMC11210244biostudies-literatureAltered intra- and inter-network connectivity in autism spectrum disorder.PMC11210244Li WSun MRuan YZhou RSun CGao XfalseAltered intra- and inter-network connectivity in autism spectrum disorder.<h4>Objective</h4>A neurodevelopmental illness termed as the autism spectrum disorder (ASD) is described by social interaction impairments. Previous studies employing resting-state functional imaging (rs-fMRI) identified both hyperconnectivity and hypoconnectivity patterns in ASD people. However, specific patterns of connectivity within and between networks linked to ASD remain largely unexplored.<h4>Methods</h4>We utilized a meticulously selected subset of high-quality data, comprising 45 individuals diagnosed with ASD and 47 HCs, obtained from the ABIDE dataset. The pre-processed rs-fMRI time series signals were partitioned into ninety regions of interest. We focused on eight intrinsic connectivity networks and further performed intra- and inter-network analysis. Finally, support vector 2024-01-01T00:00:00Z2024 Jun2025-04-21T20:18:06.18Z2025-04-05T17:57:09.742ZS-EPMC112102443886225910.18632/aging.205913