ArticleActa bio-medica : Atenei Parmensis2023
Magnetic Resonance Imaging in Autism Spectrum Disorders: clinical and neuroradiological phenotypes.
Article in Acta bio-medica : Atenei Parmensis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 4 citations in OpenAlex.
- Shared and divergent alteration of whole-brain connectivity and sensory deficits in multiple autism mouse models.Molecular psychiatry · 2026Article
- Perivascular Space Burden in Children With Autism Spectrum Disorder Correlates With Neurodevelopmental Severity.Journal of magnetic resonance imaging : JMRI · 2025Article
- Human Blood-Derived lncRNAs in Autism Spectrum Disorder.Biomolecules · 2025Review
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Authors and funding
5 authors at 4 institutions in 4 countries.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimAutism Spectrum Disorders (ASDs) are a group of neurodevelopmental disorders that can severely compromise social and cognitive functions in childhood. Magnetic Resonance Imaging (MRI) currently represents the gold standard as an in vivo and non-invasive study of the human brain morphology. This work aims to search for possible links between clinical phenotypes and radiological anomalies that may be relevant and pathognomonic in the subsequent diagnosis of ASDs.
methodsThis is a retrospective study in which 132 patients (112 males and 20 females) with neurodevelopment disorders, including ASDs, were enrolled. The population study was divided into three groups considering their own pathological diagnosis. All patients included in this population underwent genetic screening and one or multiple 1.5T MRI scans were performed to evaluate potential anomalies of the corpus callosum, periventricular white matter, ventricular space, cerebellum, subarachnoid space and thalamus.
resultsUnivariate analysis showed that the presence of MRI brain abnormalities was a significant variable in predicting the presence of ASDs. Increased ventricular volume was one of the most replicated findings in ASDs patients since it was reported to be statistically significant both in uni- and multivariate analysis, resulting even as a potentially predictive factor of diagnosis.
conclusionsThis study can represent a starting point for the research of new radiological evidence that might be important to early diagnose ASDs and for making a differential diagnosis with all those conditions that mimic autistic traits, but which are not clinically connected to the spectrum disorder itself.
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