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

Abstract Purpose of Review This review will cover the most relevant findings on the use of
machine learning (ML) techniques in the field of non-affective psychosis, by summarizing the …

This study aims to identify dynamic patterns within the spatiotemporal feature space that are
specific to nonpsychotic major depression (NPMD), psychotic major depression (PMD), and …

Objectives Event-related potential measures have been extensively studied in mental
disorders. Among them, P300 amplitude and latency reflect impaired cognitive abilities in …

Studies exploring the neurophysiology of suicide are scarce and the neuropathology of
related disorders is poorly understood. This study investigated source-level cortical …

Background Electroencephalography (EEG) is a noninvasive, cost-effective, and robust tool,
which directly measures in vivo neuronal mass activity with high temporal resolution …

Schizophrenia is a socially significant mental disorder resulting frequently in severe forms of
disability. Diagnosis, choice of treatment tactics, and rehabilitation in clinical psychiatry are …

Background The diagnosis of major depressive disorder (MDD) is commonly based on the
subjective evaluation by experienced psychiatrists using clinical scales. Hence, it is …

Objective Prior researchers have identified distinct differences in functional connectivity
neuroimaging characteristics among MDD patients. However, the auxiliary diagnosis and …

Depression is clinically diagnosed when a defined constellation of symptoms manifests over
a specific duration with notable severity. According to the Diagnostic and Statistical Manual …