Researchers utilizing artificial intelligence (AI) to analyze brain MRI scans have identified significant differences in white matter tracts of adolescents with ADHD.
The study, involving over 1,700 participants from the multi-institutional Adolescent Brain Cognitive Development Study, used diffusion-weighted imaging (DWI) and a deep-learning AI model to detect these variations.
Elevated fractional anisotropy (FA) values were found in nine white matter tracts in individuals with ADHD, providing objective biomarkers for diagnosis. This approach offers a new, quantitative way to diagnose ADHD, addressing the current reliance on subjective self-reported surveys.
CHUCKYSCARNAGE 