Transient states of network connectivity are atypical in autism: A dynamic functional connectivity study
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There is ample evidence of atypical functional connectivity (FC) in autism spectrum disorders (ASDs). However, transient relationships between neural networks cannot be captured by conventional static FC analyses. Dynamic FC (dFC) approaches have been used to identify repeating, transient connectivity patterns ("states"), revealing spatiotemporal network properties not observable in static FC. Recent studies have found atypical dFC in ASDs, but questions remain about the nature of group differences in transient connectivity, and the degree to which states persist or change over time. This study aimed to: (a) describe and relate static and dynamic FC in typical development and ASDs, (b) describe group differences in transient states and compare them with static FC patterns, and (c) examine temporal stability and flexibility between identified states. Resting-state functional magnetic resonance imaging (fMRI) data were collected from 62 ASD and 57 typically developing (TD) children and adolescents. Whole-brain, data-driven regions of interest were derived from group independent component analysis. Sliding window analysis and k-means clustering were used to explore dFC and identify transient states. Across all regions, static overconnnectivity and increased variability over time in ASDs predominated. Furthermore, significant patterns of group differences emerged in two transient states that were not observed in the static FC matrix, with group differences in one state primarily involving sensory and motor networks, and in the other involving higher-order cognition networks. Default mode network segregation was significantly reduced in ASDs in both states. Results highlight that dynamic approaches may reveal more nuanced transient patterns of atypical FC in ASDs.
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Similar findings of hyper-variability of functional connections in ASD have been observed in studies focusing on the adolescent period.
“Similar findings of hyper-variability of functional connections in ASD have been observed in studies focusing on the adolescent period (119,120).”
From Brain Mechanisms Supporting Flexible Cognition and Behavior in Adolescents With Autism Spectrum Disorder (2021) · cites this paper as [119]
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- Authors
- Mash, L. E., Linke, A. C., Olson, L. A., Fishman, I., Liu, T. T., & Müller, R.
- Affiliations
- San Diego State University (US)
- University of California San Diego (US)
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2019-01-25
- Volume
- 40
- Issue
- 8
- Pages
- 2377-2389
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6549695
- OpenAlex
- W2914502083
- Cited by
- 96
- References
- 85
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 16 · 2023: 9 · 2022: 11 · 2021: 17 · 2020: 16 · 2019: 5
- FWCI
- 7.07
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (K01 MH097972, R01 MH081023, R01 MH101173, R21 MH102578)
- National Science Foundation (GRFP 1321850)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- autism spectrum disorder, dynamic functional connectivity, static functional connectivity, resting-state functional connectivity, children and adolescents
- MeSH terms
- Autism Spectrum Disorder, Adolescent, Brain, Child, Female, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Connectome
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