ArticleBrain imaging and behavior2021
Changes in the topological organization of the default mode network in autism spectrum disorder.
Article in Brain imaging and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Graph Ricci curvatures reveal atypical functional connectivity in autism spectrum disorder.Scientific reports · 2022Pooled it
- Cross-attention-guided subject-adaptive graph learning for multimodal autism classification: integrating structural and functional MRI data.Brain informatics · 2026Article
- Common and distinct changes of regional resting-state brain activity between high- and low-functioning autism spectrum disorder.BMC psychiatry · 2026Article
- The hidden costs of screen time: altered brain network efficiency in children with autism spectrum disorder.BMC psychiatry · 2026Article
- Lean-NET-Based Local Brain Connectome Analysis for Autism Spectrum Disorder Classification.Bioengineering (Basel, Switzerland) · 2026Article
- Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder.Scientific reports · 2025Article
- Oxytocin modulation of resting-state functional connectivity network topology in individuals with higher autistic traits.Psychoradiology · 2025Article
- Structural and functional coupling alterations in autism spectrum disorder with and without comorbid attention deficit hyperactivity disorder.Frontiers in psychiatry · 2025Article
- Advances in the fMRI analysis of the default mode network: a review.Brain structure & function · 2024Review
- Identification of autism spectrum disorder using multiple functional connectivity-based graph convolutional network.Medical & biological engineering & computing · 2024Article
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- Article
- Spatial-Temporal Characteristics of Brain Activity in Autism Spectrum Disorder Based on Hidden Markov Model and Dynamic Graph Theory: A Resting-State fMRI Study.Brain sciences · 2024Article
- Disrupted topological organization of functional brain networks in traumatic axonal injury.Brain imaging and behavior · 2024Article
- Personalized functional network mapping for autism spectrum disorder and attention-deficit/hyperactivity disorder.Translational psychiatry · 2024Article
- Functional brain network alterations in the co-occurrence of autism spectrum disorder and attention deficit hyperactivity disorder.European child & adolescent psychiatry · 2024Article
- Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.Brain informatics · 2024Article
- Secondary analysis: Graph analysis of brain connectivity network in autism spectrum disorder.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024Article
- Alterations in the topological organization of the default-mode network in Tourette syndrome.BMC neurology · 2023Article
- Diverging asymmetry of intrinsic functional organization in autism.Molecular psychiatry · 2023Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Neuroimaging studies have demonstrated that autism spectrum disorder (ASD) is accompanied by abnormal functional and structural features in specific brain regions of the default mode network (DMN). However, little is known about the alterations of the topological organization and the functional connectivity (FC) of the DMN in ASD patients. Thirty-seven ASD patients and 38 healthy control (HC) participants underwent a resting-state functional magnetic resonance imaging scan. Twenty DMN subregions were specifically selected to construct the DMN architecture. We applied graph theory approaches to the topological configuration and compare the FC patterns of the DMN. We then examined the relationships between the neuroimaging measures of the DMN and clinical characteristics in patients with ASD. The current study revealed that both the ASD and HC participants showed a small-world regimen in the DMN; however there were no significant differences in global network measures. Compared with the HC group, the ASD group exhibited significantly decreased nodal centralities in the bilateral anterior medial prefrontal cortex and increased nodal centralities in the right lateral temporal cortex and the right retrosplenial cortex. Patients with ASD displayed significantly reduced and increased FC within the DMN. Our findings demonstrated that ASD patients showed a pattern of disrupted FC metrics and nodal network metrics in the DMN, which could be a potential biomarker for objective ASD diagnoses and for the level of autism spectrum traits. HIGHLIGHTS: We used graph theoretical approaches and functional connectivity (FC) to investigate the topological configuration and FC patterns of the DMN in ASD. The current study revealed that both ASD and HC participants exhibited small-world regimes in the DMN, however there were no significant differences in global network measures. The ASD group showed abnormal nodal centralities in the bilateral aMPFC, the right LTC and the Rsp of the DMN, and ASD was characterized by altered FC patterns, including decreased and increased FC within the DMN.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.