Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI

• Published in: IEEE transaction on neural networks and learning systems Vol. 35; no. 6; pp. 8161 - 8175
• Main Authors: Huang, Zhi-An, Liu, Rui, Zhu, Zexuan, Tan, Kay Chen
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Analytical models; Attention deficit/hyperactivity disorder (ADHD); autism spectrum disorder (ASD); Biomarkers; Brain - diagnostic imaging; Brain modeling; Cluster Analysis; Clustering; Computational neuroscience; Correlation; Diagnosis; Evolutionary algorithms; Functional magnetic resonance imaging; functional magnetic resonance imaging (fMRI); Humans; joint diagnosis; Machine Learning; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medical imaging; Mental disorders; Mental Disorders - diagnosis; Mental Disorders - diagnostic imaging; multitask learning (MTL); Neural networks; Neural Networks, Computer; Neuroimaging; Pattern analysis; Public health; Rest - physiology; schizophrenia (SCZ); Task analysis

Facing the increasing worldwide prevalence of mental disorders, the symptom-based diagnostic criteria struggle to address the urgent public health concern due to the global shortfall in well-qualified professionals. Thanks to the recent advances in neuroimaging techniques, functional magnetic resona...