Novel Accurate Approach Improves Understanding of Brain Structure in Children with ADHD
2025.09.05
Research
Magnetic resonance imaging often yields inconsistent results when assessing the brain’s structural characteristics in children with attention deficit/hyperactivity disorder (ADHD). To address this, scientists from Japan have used a harmonization method called traveling-subject (TS) to reduce measurement bias in brain imaging datasets from multiple sites. The TS harmonized datasets showed significant reductions in measurement bias and revealed apparent volumetric changes in specific brain regions, indicating promise for developing a more robust diagnosis for ADHD.
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Brain imaging methods like magnetic resonance imaging (MRI) are used to characterize structural differences in the brains of children with attention-deficit/hyperactivity disorder (ADHD). However, these results are often inconsistent, revealing different results across machines and hospitals. Researchers from Japan employed an approach called the TS method to reduce measurement bias in brain imaging datasets sourced from multiple locations. Their results reveal that, compared to the raw data, TS-corrected data significantly reduced measurement bias and revealed volumetric changes in brain regions in children with ADHD.