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Dynamic lag analysis reveals atypical brain information flow in autism spectrum disorder
Open accessAbstract
This study investigated whole‐brain dynamic lag pattern variations between neurotypical (NT) individuals and individuals with autism spectrum disorder (ASD) by applying a novel technique called dynamic lag analysis (DLA). The use of 3D magnetic resonance encephalography data with repetition time = 100 msec enables highly accurate analysis of the spread of activity between brain networks. Sixteen resting‐state networks (RSNs) with the highest spatial correlation between NT individuals (n = 20) and individuals with ASD (n = 20) were analyzed. The dynamic lag pattern variation between each RSN pair was investigated using DLA, which measures time lag variation between each RSN pair combination and statistically defines how these lag patterns are altered between ASD and NT groups. DLA analyses indicated that 10.8% of the 120 RSN pairs had statistically significant (P‐value <0.003) dynamic lag pattern differences that survived correction with surrogate data thresholding. Alterations in lag patterns were concentrated in salience, executive, visual, and default‐mode networks, supporting earlier findings of impaired brain connectivity in these regions in ASD. 92.3% and 84.6% of the significant RSN pairs revealed shorter mean and median temporal lags in ASD versus NT, respectively. Taken together, these results suggest that altered lag patterns indicating atypical spread of activity between large‐scale functional brain networks may contribute to the ASD phenotype. Autism Res 2020, 13: 244–258. © 2019 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. Lay Summary: Autism spectrum disorder (ASD) is characterized by atypical neurodevelopment. Using an ultra‐fast neuroimaging procedure, we investigated communication across brain regions in adults with ASD compared with neurotypical (NT) individuals. We found that ASD individuals had altered information flow patterns across brain regions. Atypical patterns were concentrated in salience, executive, visual, and default‐mode network areas of the brain that have previously been implicated in the pathophysiology of the disorder.
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Atypical spread of activity seems to be present in ASD individuals, indicated by altered dynamic lag patterns in salience, executive, visual, and default-mode networks.
“Atypical spread of activity seems to be present in ASD individuals, indicated by altered dynamic lag patterns in salience, executive, visual, and default-mode networks (Raatikainen et al. 2020).”
From Autism Spectrum Disorder and auditory sensory alterations: a systematic review on the integrity of cognitive and neuronal functions related to auditory processing (2023) · cites this paper as Raatikainen et al. 2020
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Salience processing and insular cortical function and dysfunction
Uddin, L. Q. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3857 · Cited by 2,083
Self-citationGoulden, N., Khusnulina, A., Davis, N. J., Bracewell, R. M., Bokde, A. L., McNulty, J. P., & Mullins, P. G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.052 · Cited by 810 · cited 1×
“The salience network is thought to be involved in switching between the default mode network and central executive network [Goulden et al., 2014], and salience network dysfunction has been linked to autism [Uddin & Menon, 2009; Uddin et al.”
BackgroundAbnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients
Assaf, M., Jagannathan, K., Calhoun, V. D., Miller, L., Stevens, M. C., Sahl, R., O'Boyle, J. G., Schultz, R. T., & Pearlson, G. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.067 · Cited by 680
A genome-wide linkage and association scan reveals novel loci for autism
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Watanabe, T., & Rees, G. (2017) · Nature Communications · doi:10.1038/ncomms16048 · Cited by 165
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Sorted by citations
Gonçalves, A. M., & Monteiro, P. (2023) · Journal of Neural Transmission · doi:10.1007/s00702-023-02595-9 · Cited by 88
Metadata
- Authors
- Raatikainen, V., Korhonen, V., Borchardt, V., Huotari, N., Helakari, H., Kananen, J., Raitamaa, L., Joskitt, L., Loukusa, S., Hurtig, T., Ebeling, H., Uddin, L. Q., & Kiviniemi, V.
- Affiliations
- Oulu University Hospital (FI)
- University of Oulu (FI)
- University of Miami (US)
- Corresponding author
- Raatikainen, Ville
- ORCID
- Venue
- Autism Research
- Publisher
- Wiley
- Published
- 2019-10-22
- Volume
- 13
- Issue
- 2
- Pages
- 244-258
- ISSN
- 1939-3792 (ISSN-L)
- 1939-3806
- PMC
- PMC7027814
- OpenAlex
- W2982155962
- Cited by
- 19
- References
- 8
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 1 · 2021: 5 · 2020: 2
- FWCI
- 1.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Autism Research (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Instrumentariumin Tiedesäätiö
- Jane ja Aatos Erkon Säätiö
- National Institute of Mental Health (R01MH107549)
- Academy of Finland (275352)
- Tauno Tönningin Säätiö
- Tekniikan Edistämissäätiö
- Walter Ahlströmin Säätiö
- 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, resting-state networks, large-scale brain networks, functional connectivity, salience network, default mode network, executive network, visual network
- MeSH terms
- Autism Spectrum Disorder, Adult, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Phenotype, Imaging, Three-Dimensional, Young Adult
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