In recent years, machine learning (ML) has been a promising approach in the research of
treatment outcome prediction in psychosis. In this study, we reviewed ML studies using …

A large number of neuroimaging studies have detected brain abnormalities in first-episode
schizophrenia both before and after treatment, but it remains unclear how these …

Electrocatalysis plays a crucial role in realizing the transition toward a zero‐carbon future,
driving research directions from green hydrogen generation to carbon dioxide reduction …

Schizophrenia (SCZ) is a complex psychiatric syndrome with uncertain etiology. This study
aimed to uncover the expression profiles and related regulatory networks of circular RNA …

Shared decisionmaking (SDM) is a recommended health communication approach in
mental health settings. Yet, implementation of SDM in psychiatric consultations discussing …

Psychedelics such as lysergic acid diethylamide (LSD), psilocybin (magic mushrooms), and
mescaline exhibit intense effects on the human brain and behaviour. In recent years, there …

Our understanding of the environmental and genetic factors contributing to the wide
spectrum of neuropsychiatric disorders has significantly increased in recent years …

Objective Microstate analysis is a powerful tool to probe the brain functions, and changes in
microstates under electroencephalography (EEG) have been repeatedly reported in patients …

The cognitive model of negative symptoms suggests that some dysfunctional beliefs mediate
the relationship between neurocognitive deficits and negative symptoms and disability. This …

The presented article is relevant, as the main goals of schizophrenia treatment are to
achieve a response to psychopharmacotherapy, reduction and stabilization of …