ArticleScientific reports2020
Alterations of functional connectivities associated with autism spectrum disorder symptom severity: a multi-site study using multivariate pattern analysis.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- [Brain structure & function · 2026Article
- Feasibility and Safety of Transcranial Focused Ultrasound on Language Impairment in a Patient with Autism Spectrum Disorder: A Case Report.International medical case reports journal · 2026Article
- Local activity alterations in individuals with autism correlate with neurotransmitter properties and ketamine-induced brain changes.Nature communications · 2025Article
- Longitudinal study of socio-emotional cognitive processing in individuals with anorexia nervosa and the impact of autistic characteristics on neural processing.Frontiers in psychology · 2025Article
- Dynamically weighted graph neural network for detection of early mild cognitive impairment.PloS one · 2025Article
- Domain adaptation in small-scale and heterogeneous biological datasets.Science advances · 2024Review
- Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM).Biomimetics (Basel, Switzerland) · 2024Review
- Altered static and dynamic spontaneous brain activity in patients with dysthyroid optic neuropathy: a resting-state fMRI study.Frontiers in neuroscience · 2024Article
- Application of Multimodal MRI in the Early Diagnosis of Autism Spectrum Disorders: A Review.Diagnostics (Basel, Switzerland) · 2023Review
- A Similarity Measure-Based Approach Using RS-fMRI Data for Autism Spectrum Disorder Diagnosis.Diagnostics (Basel, Switzerland) · 2023Article
- Functional Connectivity of the Brain Across Rodents and Humans.Frontiers in neuroscience · 2022Review
- Sparse Hierarchical Representation Learning on Functional Brain Networks for Prediction of Autism Severity Levels.Frontiers in neuroscience · 2022Article
- Identification of Pathogenetic Brain RegionsFrontiers in neuroscience · 2022Article
- Article
- A novel conversion prediction method of MCI to AD based on longitudinal dynamic morphological features using ADNI structural MRIs.Journal of neurology · 2020Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder. The estimation of ASD severity is very important in clinical practice due to providing a more elaborate diagnosis. Although several studies have revealed some resting-state functional connectivities (RSFCs) that are related to the ASD severity, they have all been based on small-sample data and local RSFCs. The aim of the present study is to adopt multivariate pattern analysis to investigate a subset of connectivities among whole-brain RSFCs that are more contributive to ASD severity estimation based on large-sample data. Regression estimation shows a Pearson correlation value of 0.5 between the estimated and observed severity, with a mean absolute error of 1.41. The results provide obvious evidence that some RSFCs undergo notable alterations with the severity of ASD. More importantly, these selected RSFCs have an abnormality in the connection modes of the inter-network and intra-network connections. In addition, these selected abnormal RSFCs are mainly associated with the sensorimotor network, the default mode network, and inter-hemispheric connectivities, while exhibiting significant left hemisphere lateralization. Overall, this study indicates that some RSFCs suffer from abnormal alterations in patients with ASD, providing additional evidence of large-scale functional network alterations in ASD.
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