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 …

Abstract Background Major Depressive Disorder (MDD) is a psychiatric disorder
characterized by functional brain deficits, as documented by resting-state functional …

Rationale/importance Researches have highlighted communication deficits between resting-
state brain networks in major depressive disorder (MDD), as reflected in abnormal functional …

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 …

Diagnosis of major depressive disorder (MDD) using resting-state functional connectivity (rs-
FC) data faces many challenges, such as the high dimensionality, small samples, and …

Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

Introduction Develo** a machine learning-based approach which could provide
quantitative identification of major depressive disorder (MDD) is essential for the diagnosis …

Background The current diagnosis of major depressive disorder (MDD) is mainly based on
the patient's self-report and clinical symptoms. Machine learning methods are used to …

Major depressive disorder (MDD) is characterized by impairments in mood and cognitive
functioning, and it is a prominent source of global disability and stress. A functional magnetic …