ArticleFrontiers in psychiatry2021
Atypical Resting State Functional Neural Network in Children With Autism Spectrum Disorder: Graph Theory Approach.
Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Alterations in Early Alpha-band Connectivity emerge in Infancy among children later diagnosed with Autism.medRxiv : the preprint server for health sciences · 2026Article
- The hidden costs of screen time: altered brain network efficiency in children with autism spectrum disorder.BMC psychiatry · 2026Article
- Functional brain network organization during the 40-Hz auditory steady-state response in children with and without autism spectrum disorder.Frontiers in psychiatry · 2026Article
- Baseline-dependent network reactivity to visual input in children with autism spectrum disorder: a magnetoencephalography study.Frontiers in psychiatry · 2025Article
- State-dependent changes in peak alpha frequency during visual engagement in children with and without autism spectrum disorder.Frontiers in psychiatry · 2025Article
- Local gradient analysis of human brain function using the Vogt-Bailey Index.Brain structure & function · 2024Article
- Relationships between peak alpha frequency, age, and autistic traits in young children with and without autism spectrum disorder.Frontiers in psychiatry · 2024Article
- Eyes-state-dependent alterations of magnetoencephalographic connectivity associated with delayed recall in Alzheimer's disease via graph theory approach.Frontiers in psychiatry · 2023Article
- Altered brain network organization in adults with Asperger's syndrome: decreased connectome transitivity and assortativity with increased global efficiency.Frontiers in psychiatry · 2023Article
- Alterations in brain networks in children with sub-threshold autism spectrum disorder: A magnetoencephalography study.Frontiers in psychiatry · 2022Article
- Bottom-up vs. top-down connectivity imbalance in individuals with high-autistic traits: An electroencephalographic study.Frontiers in systems neuroscience · 2022Article
- Structural filtering of functional data offered discriminative features for autism spectrum disorder.PloS one · 2022Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measuring whole brain networks is a promising approach to extract features of autism spectrum disorder (ASD), a brain disorder of widespread regions. Objectives of this study were to evaluate properties of resting-state functional brain networks in children with and without ASD and to evaluate their relation with social impairment severity. Magnetoencephalographic (MEG) data were recorded for 21 children with ASD (7 girls, 60-89 months old) and for 25 typically developing (TD) control children (10 girls, 60-91 months old) in a resting state while gazing at a fixation cross. After signal sources were localized onto the Desikan-Killiany brain atlas, statistical relations between localized activities were found and evaluated in terms of the phase lag index. After brain networks were constructed and after matching with intelligence using a coarsened exact matching algorithm, ASD and TD graph theoretical measures were compared. We measured autism symptoms severity using the Social Responsiveness Scale and investigated its relation with altered small-worldness using linear regression models. Children with ASD were found to have significantly lower small-worldness in the beta band (
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