Information-based multivariate decoding reveals imprecise neural encoding in children with attention deficit hyperactivity disorder during visual selective attention.

Abstract in brief

• The study found that children with ADHD show impaired neural responses during visual attention tasks, specifically a smaller N2pc component and lower multivariate decoding accuracy compared to typically developing children.
• These neural impairments are associated with slower reaction times and greater variability, indicating less efficient attentional orienting in children with ADHD.
• Using advanced machine learning techniques, the research suggests that these neural markers could help improve early diagnosis and personalized interventions for ADHD.