Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Normal life can be ensured for schizophrenic patients if diagnosed early.
Electroencephalogram (EEG) carries information about the brain network connectivity which …

Alzheimer's disease (AD) is characterized by alterations of the brain's structural and
functional connectivity during its progressive degenerative processes. Existing auxiliary …

Objective: We exploit altered patterns in brain functional connectivity as features for
automatic discriminative analysis of neuropsychiatric patients. Deep learning methods have …

Static functional connections (sFCs) and dynamic functional connections (dFCs) have been
widely used in the resting-state functional MRI (rs-fMRI) analysis. sFCs, calculated based on …

Abstract Computer Aided Diagnosis systems assist radiologists and doctors in the early
diagnosis of mental disorders such as Alzheimer's, bipolar disorder, depression, autism …

Background Psychotic disorders are characterized by structural and functional abnormalities
in brain networks. Neuroimaging techniques map and characterize such abnormalities using …

Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …

Brain network provides essential insights in diagnosing many brain disorders. Integrative
analysis of multiple types of connectivity, eg, functional connectivity (FC) and structural …