Magnetic-resonance (MR) examination provides a powerful tool for investigating brain structural changes in children with Autism Spectrum Disorder (ASD). We review recent advances in the understanding of structural-MR correlates of ASD.

Magnetic resonance (MR) examination provides a powerful tool for investigating brain structural changes in children with autism spectrum disorder (ASD). We review recent...

2024年8月2日 · The diagnosis of ASD using MRI shows promise as consistent findings indicate that biomarkers capable of differentiating individuals with ASD and healthy controls exist and MRI is able to...

In particular, we analyzed the prevalence of neuroradiologic findings in routine magnetic resonance imaging (MRI) scans of a group of 117 ASD children younger than 5 years old. These data were compared to those reported in typically developing (TD) children.

Functional magnetic resonance imaging (fMRI) has proven to be a useful tool to investigate aberrant neurobiological function in ASDs because of its excellent contrast properties, spatial resolution, and temporal resolution. fMRI uses specialized pulse sequences to localize metabolic correlates of neural activity linked to relevant neurocognitive...

2025年3月21日 · Head motion during magnetic resonance imaging (MRI) examinations of patients with autism spectrum disorder (ASD) can influence the identification of brain differences as well as early diagnosis ...

2023年9月22日 · Using structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI), three-dimensional arterial spin labeling (3D-ASL), and proton magnetic resonance spectroscopy (1 H-MRS), we can identify abnormal alterations in ASD patients’ brain morphology, structural-functional network, perfusion, neuronal metabolism ...

2020年1月1日 · We present an approach for autism classification based on neuroimaging MRI. The pipeline relies on connectivity matrices and machine learning techniques. Accuracy is 85.06 ± 3.52% evaluated in more than 800 cases of the ABIDE I dataset. The most important correlations for autism classification are highlighted.

Establishing robust neuroimaging biomarkers of ASD using structural magnetic resonance imaging (MRI) is an important step for diagnosing and tailoring treatment, particularly early in life when interventions can have the greatest effect.

2020年4月7日 · The team analyzed data for 106 high-risk and 42 low-risk children to look for any link between the diagnosis of ASD at 24 months and the appearance of clinical symptoms in early infancy.