Multiple measurement analysis of resting-state fMRI for ADHD classification in adolescent brain from the ABCD study.

ABSTRACT: Attention deficit hyperactivity disorder (ADHD) is one of the most common psychiatric disorders in school-aged children. Its accurate diagnosis looks after patients' interests well with effective treatment, which is important to them and their family. Resting-state functional magnetic resonance imaging (rsfMRI) has been widely used to characterize the abnormal brain function by computing the voxel-wise measures and Pearson's correlation (PC)-based functional connectivity (FC) for ADHD diagnosis. However, exploring the powerful measures of rsfMRI to improve ADHD diagnosis remains a particular challenge. To this end, this paper proposes an automated ADHD classification framework by fusion of multiple measures of rsfMRI in adolescent brain. First, we extract the voxel-wise measures and ROI-wi

SUBMITTER: Wang Z 

PROVIDER: S-EPMC9902465 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature