Dynamic Functional Connectivity Reveals Abnormal Variability and Hyper‐connected Pattern in Autism Spectrum Disorder
- 15 October 2019
- journal article
- research article
- Published by Wiley in Autism Research
- Vol. 13 (2) , 230-243
Abstract
Autism spectrum disorder (ASD) is a general neurodevelopmental disorder associated with altered brain connectivity. However, most connectivity analyses in ASD focus on static functional connectivity, largely neglecting brain activity dynamics that have been reported to provide deeper insight into the underlying mechanisms of brain functions. Therefore, we anticipate that the use of dynamic functional connectivity (DFC) with interaction of clustering measures could help characterize ASD severity and reveal more information. In this study, we applied the sliding‐window and k‐means clustering methods to perform DFC and clustering analyses in ASD and typically developing (TD) groups. Data from 62 ASD and 63 TD children were acquired from the open‐access data set Autism Brain Imaging Data Exchange. Our findings revealed higher DFC variability between the posterior cingulate gyrus (PCC) and middle temporal pole (TPOmid) in subjects with ASD. The connection between the PCC and pars opercularis of inferior frontal gyrus (IFGoper) also presented greater variability in ASD, with the increase depending on ASD symptom severity. Furthermore, clustering analysis showed higher averaged dwell time and probability of transition for globally hyper‐connected state in the ASD group, which could be related to connection variability between the PCC and IFGoper. Our results demonstrate that both the PCC and IFGoper play crucial roles in characterizing symptom severity and state configuration in ASD, and brain connectivity dynamics may serve as potential indicators of ASD in future studies. Autism Res 2020, 13: 230–243. © 2019 International Society for Autism Research, Wiley Periodicals, Inc.Lay Summary: Dynamic functional connectivity (DFC) refers to functional connectivity that changes over a short time. This study found that DFC instability between the posterior cingulate gyrus and pars opercularis of inferior frontal gyrus is associated with abnormal brain pattern configurations and dysfunction of social cognitive processes in autism spectrum disorder (ASD). These findings could contribute to a deeper understanding of the neural mechanisms of ASD and help characterize ASD severity.Keywords
Funding Information
- National Natural Science Foundation of China (81627806, 81701665, 91432301, 91859121)
This publication has 79 references indexed in Scilit:
- Dynamic functional connectivity: Promise, issues, and interpretationsNeuroImage, 2013
- Reconceptualizing functional brain connectivity in autism from a developmental perspectiveFrontiers in Human Neuroscience, 2013
- Extraversion and anterior vs. posterior DMN activity during self-referential thoughtsFrontiers in Human Neuroscience, 2013
- Reduced Functional Integration and Segregation of Distributed Neural Systems Underlying Social and Emotional Information Processing in Autism Spectrum DisordersCerebral Cortex, 2011
- Structural and functional magnetic resonance imaging of autism spectrum disordersBrain Research, 2011
- Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patientsNeuroImage, 2010
- Typical and atypical development of functional human brain networks: insights from resting-state fMRIFrontiers in Systems Neuroscience, 2010
- Abnormalities of intrinsic functional connectivity in autism spectrum disorders,NeuroImage, 2009
- A dual-networks architecture of top-down controlTrends in Cognitive Sciences, 2008
- Distinct brain networks for adaptive and stable task control in humansProceedings of the National Academy of Sciences, 2007