Latest AI and machine learning research in schizophrenia for healthcare professionals.
BACKGROUND: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia f...
IMPORTANCE: Altered neurodevelopmental trajectories are thought to reflect heterogeneity in the path...
BACKGROUND: The variability of responses to plasticity-inducing repetitive transcranial magnetic sti...
Past work on relatively small, single-site studies using regional volumetry, and more recently machi...
Specific biomarker reflecting neurobiological substrates of schizophrenia (SZ) is required for its d...
Identifying distinctive subtypes of schizophrenia could ultimately enhance diagnostic and prognostic...
Genetic risk variants for schizophrenia have been linked to many related clinical and biological phe...
Schizophrenia has been proposed to result from impairment of functional connectivity. We aimed to us...
Lately, several studies started to investigate the existence of links between cannabis use and psych...
OBJECTIVE: Although hyperprolactinemia carries a long-term risk of morbidity, the threshold of dopam...
Previous studies have shown that structural brain changes are among the best-studied candidate marke...
Structural abnormalities in schizophrenia (SZ) patients have been well documented with structural ma...
In this study, the aim was to determine whether adding vitamin D to the standard therapeutic regimen...
Multivariate pattern analysis (MVPA) methods have become an important tool in neuroimaging, revealin...