ArticleFrontiers in physiology2018
Abnormal Functional Connectivity of Resting State Network Detection Based on Linear ICA Analysis in Autism Spectrum Disorder.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Neural dysfunctions associated with atypical memory in ASD: an ALE meta-analysis.Frontiers in psychiatry · 2026Pooled it
- Pooled it
- Triple-Network Functional Connectivity in Adolescents With Autism Spectrum Disorder Compared to Early-Onset Psychosis.Autism research : official journal of the International Society for Autism Research · 2026Article
- Identification of critical brain regions for autism diagnosis from fMRI data using explainable AI: an observational analysis of the ABIDE dataset.EClinicalMedicine · 2025Article
- Parental psychopathology, family conflict, brain function, and child autistic-like traits in early adolescents.Psychological medicine · 2025Article
- A lightweight, end-to-end explainable, and generalized attention-based graph neural network model trained on high-order spatiotemporal organization of dynamic functional connectivity to classify autistics from typically developing.Network neuroscience (Cambridge, Mass.) · 2025Article
- SMART (Splitting-Merging Assisted Reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks.Neuroscience bulletin · 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
- 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
- Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.Brain informatics · 2024Article
- Age-related unstable transient states and imbalanced activation proportion of brain networks in people with autism spectrum disorder: A resting-state fMRI study using coactivation pattern analyses.Network neuroscience (Cambridge, Mass.) · 2024Article
- Effects of transcranial direct current stimulation on brain activity and cortical functional connectivity in children with autism spectrum disorders.Frontiers in psychiatry · 2024Article
- Noise improves the association between effects of local stimulation and structural degree of brain networks.PLoS computational biology · 2023Article
- Resting-state abnormalities in functional connectivity of the default mode network in migraine: A meta-analysis.Frontiers in neuroscience · 2023Review
- Attenuated effective connectivity of large-scale brain networks in children with autism spectrum disorders.Frontiers in neuroscience · 2022Article
- Insight Into the Effects of Clinical Repetitive Transcranial Magnetic Stimulation on the Brain From Positron Emission Tomography and Magnetic Resonance Imaging Studies: A Narrative Review.Frontiers in neuroscience · 2022Review
- Retained Primitive Reflexes and Potential for Intervention in Autistic Spectrum Disorders.Frontiers in neurology · 2022Review
- Connectivity alterations in autism reflect functional idiosyncrasy.Communications biology · 2021Article
- Co-activation pattern alterations in autism spectrum disorder-A volume-wise hierarchical clustering fMRI study.Brain and behavior · 2021Article
- Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum Disorder.Frontiers in physiology · 2021Article
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Authors and funding
5 authors.
Funding
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Abstract
Some functional magnetic resonance imaging (fMRI) researches in autism spectrum disorder (ASD) patients have shown that ASD patients have significant impairment in brain response. However, few researchers have studied the functional structure changes of the eight resting state networks (RSNs) in ASD patients. Therefore, research on statistical differences of RSNs between 42 healthy controls (HC) and 50 ASD patients has been studied using linear independent component analysis (ICA) in this paper. Our researches showed that there was abnormal functional connectivity (FC) of RSNs in ASD patients. The RSNs with the decreased FC and increased FC in ASD patients included default mode network (DMN), central executive network (CEN), core network (CN), visual network (VN), self-referential network (SRN) compared to HC. The RSNs with the increased FC in ASD patients included auditory network (AN), somato-motor network (SMN). The dorsal attention network (DAN) in ASD patients showed the decreased FC. Our findings indicate that the abnormal FC in RSNs extensively exists in ASD patients. Our results have important contribution for the study of neuro-pathophysiological mechanisms in ASD patients.
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