ArticleFrontiers in medicine2022
Application of Quantitative Magnetic Resonance Imaging in the Diagnosis of Autism in Children.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Quantitative susceptibility mapping in pediatric neuroimaging: a systematic review of applications and advancements.Pediatric radiology · 2026Pooled it
- Evaluation of Brain Microstructural Alterations in Preschool Autism Spectrum Disorder: A Voxel-Wise Multimodal MRI Study.Journal of magnetic resonance imaging : JMRI · 2026Article
- Neurodevelopmental disorders in children: the role of MRI in early detection and intervention planning.Frontiers in neuroscience · 2026Review
- Advanced Quantitative Microstructure Imaging in Autism: A Review of Methodology, Group Differences, and Associations With Developmental Outcomes.Autism research : official journal of the International Society for Autism Research · 2025Review
- Causal associations between iron levels in subcortical brain regions and psychiatric disorders: a Mendelian randomization study.Translational psychiatry · 2025Article
- tDCS-induced enhancement of cognitive flexibility in autism: role of frontal lobe and associated neural circuits.Frontiers in behavioral neuroscience · 2025Article
- Application of eye and hand interventions in brain magnetic resonance imaging of young children.Heliyon · 2024Article
- Functional connectivity in autism spectrum disorder evaluated using rs-fMRI and DKI.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Insights into the structure and function of the hippocampus: implications for the pathophysiology and treatment of autism spectrum disorder.Frontiers in psychiatry · 2024Review
- Application of Multimodal MRI in the Early Diagnosis of Autism Spectrum Disorders: A Review.Diagnostics (Basel, Switzerland) · 2023Review
- Three-dimensional pseudocontinuous arterial spin labeling perfusion imaging shows cerebral blood flow perfusion decline in attention-deficit/hyperactivity disorder children.Frontiers in psychiatry · 2023Article
- Quantitative Susceptibility Mapping: Translating an Investigative Research Tool into High Volume Clinical Diagnostic Imaging.Diagnostics (Basel, Switzerland) · 2022Article
- Diagnosis of children with attention-deficit/hyperactivity disorder (ADHD) comorbid autistic traits (ATs) by applying quantitative magnetic resonance imaging techniques.Frontiers in psychiatry · 2022Article
- Application of TBSS-based machine learning models in the diagnosis of pediatric autism.Frontiers in neurology · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To explore the application of quantitative magnetic resonance imaging in the diagnosis of autism in children. Methods: Sixty autistic children aged 2-3 years and 60 age- and sex-matched healthy children participated in the study. All the children were scanned using head MRI conventional sequences, 3D-T1, diffusion kurtosis imaging (DKI), enhanced T2*- weighted magnetic resonance angiography (ESWAN) and 3D-pseudo continuous Arterial Spin-Labeled (3D-pcASL) sequences. The quantitative susceptibility mapping (QSM), cerebral blood flow (CBF), and brain microstructure of each brain area were compared between the groups, and correlations were analyzed. Results: The iron content and cerebral blood flow in the frontal lobe, temporal lobe, hippocampus, caudate nucleus, substantia nigra, and red nucleus of the study group were lower than those in the corresponding brain areas of the control group ( Conclusion: Quantitative magnetic resonance imaging (including QSM, 3D-pcASL, and DKI) can detect abnormalities in the iron content, cerebral blood flow and brain microstructure in young autistic children, multimodal technology (QSM, CBF, DKI) could be considered as the first choice of imaging diagnostic technology. Clinical Trial Registration: [http://www.chictr.org.cn/searchprojen.aspx], identifier [ChiCTR2000029699].
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