Identifying individuals with attention‐deficit/hyperactivity disorder based on multisite resting‐state functional magnetic resonance imaging: A radiomics analysis

• Published in: Human brain mapping Vol. 44; no. 8; pp. 3433 - 3445
• Main Authors: Liu, Guanlu, Lu, Weizhao, Qiu, Jianfeng, Shi, Liting
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.06.2023
• Subjects: Attention Deficit Disorder with Hyperactivity - diagnostic imaging; Attention deficit hyperactivity disorder; Biomarkers; Brain - diagnostic imaging; Brain mapping; Brain Mapping - methods; Datasets; Functional magnetic resonance imaging; Gender; Homogeneity; Humans; Hyperactivity; Impulsive behavior; Information processing; Machine learning; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Magnetic Resonance Spectroscopy; Medical imaging; Mental disorders; Neural networks; Neurodevelopmental disorders; Neuroimaging; Radiomics; resting‐state functional magnetic resonance imaging; Signs and symptoms; Statistical analysis; support vector machine; Support vector machines; Training; New York; United States > US; resting-state functional magnetic resonance imaging; radiomics; attention-deficit/hyperactivity disorder; support vector machine

Attention‐deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders, characterized by symptoms of age‐inappropriate inattention, hyperactivity, and impulsivity. Apart from behavioral symptoms investigated by psychiatric methods, there is no standard biological test...