ArticleFrontiers in neuroscience2022
Attenuated effective connectivity of large-scale brain networks in children with autism spectrum disorders.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 22 citations in OpenAlex.
- Autism Spectrum Disorder (ASD) Through the Lens of Hidden Markov Models (HMMs) Applied to Resting-State fMRI (rs-fMRI): A Systematic Review and Meta-analysis.Journal of autism and developmental disorders · 2026Article
- Age-Related Changes in Default Mode Network in Autism Spectrum Disorder: Insights From Effective Connectivity.Human brain mapping · 2025Article
- Oxytocin modulation of resting-state functional connectivity network topology in individuals with higher autistic traits.Psychoradiology · 2025Article
- Altered effective connectivity of the default mode network in juvenile myoclonic epilepsy.Cognitive neurodynamics · 2024Article
- Posterior default mode network is associated with the social performance in male children with autism spectrum disorder: A dynamic causal modeling analysis based on triple-network model.Human brain mapping · 2024Article
- Functional connectivity in autism spectrum disorder evaluated using rs-fMRI and DKI.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Altered intra- and inter-network brain functional connectivity associated with prolonged screen time in pre-school children with autism spectrum disorder.European journal of pediatrics · 2024Article
- The subcortical brain regions influence the cortical areas during resting-state: an fMRI study.Frontiers in human neuroscience · 2024Article
- Fusing Multiview Functional Brain Networks by Joint Embedding for Brain Disease Identification.Journal of personalized medicine · 2023Article
- Abnormalities of EEG Functional Connectivity and Effective Connectivity in Children with Autism Spectrum Disorder.Brain sciences · 2023Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Understanding the neurological basis of autism spectrum disorder (ASD) is important for the diagnosis and treatment of this mental disorder. Emerging evidence has suggested aberrant functional connectivity of large-scale brain networks in individuals with ASD. However, whether the effective connectivity which measures the causal interactions of these networks is also impaired in these patients remains unclear. Objects: The main purpose of this study was to investigate the effective connectivity of large-scale brain networks in patients with ASD during resting state. Materials and methods: The subjects were 42 autistic children and 127 age-matched normal children from the ABIDE II dataset. We investigated effective connectivity of 7 large-scale brain networks including visual network (VN), default mode network (DMN), cerebellum, sensorimotor network (SMN), auditory network (AN), salience network (SN), frontoparietal network (FPN), with spectral dynamic causality model (spDCM). Parametric empirical Bayesian (PEB) was used to perform second-level group analysis and furnished group commonalities and differences in effective connectivity. Furthermore, we analyzed the correlation between the strength of effective connectivity and patients' clinical characteristics. Results: For both groups, SMN acted like a hub network which demonstrated dense effective connectivity with other large-scale brain network. We also observed significant causal interactions within the "triple networks" system, including DMN, SN and FPN. Compared with healthy controls, children with ASD showed decreased effective connectivity among some large-scale brain networks. These brain networks included VN, DMN, cerebellum, SMN, and FPN. In addition, we also found significant negative correlation between the strength of the effective connectivity from right angular gyrus (ANG_R) of DMN to left precentral gyrus (PreCG_L) of SMN and ADOS-G or ADOS-2 module 4 stereotyped behaviors and restricted interest total (ADOS_G_STEREO_BEHAV) scores. Conclusion: Our research provides new evidence for the pathogenesis of children with ASD from the perspective of effective connections within and between large-scale brain networks. The attenuated effective connectivity of brain networks may be a clinical neurobiological feature of ASD. Changes in effective connectivity of brain network in children with ASD may provide useful information for the diagnosis and treatment of the disease.
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