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Dataset Information

Insights into structural deviations in attention deficit hyperactivity disorder (ADHD) and comorbidities using big data-derived brain charts: a cross-sectional study.


ABSTRACT:

Background

Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that often coexists with other neurodevelopmental disorders. The intricate comorbidity of ADHD with depression, Tourette syndrome (TS), and autism spectrum disorder (ASD) presents substantial challenges in the screening, diagnosis, and management of these conditions. The aim of this study was to utilize big data-derived brain charts as an objective standard to assess brain development, comparing regional brain development differences between children with pure ADHD and those with comorbidities, and to explore the presumed correlation between specific structural deviations and the severity of ADHD symptoms.

Methods

This is a large, population-based cross-sectional study with an

SUBMITTER: Chen M 

PROVIDER: S-EPMC12397625 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature