Although regional brain deficits have been demonstrated in schizophrenia patients by
structural MRI studies, one important question that remains largely unanswered is whether …

Background Structural and functional brain abnormalities in schizophrenia (SZ) have been
widely reported. However, a few studies have investigated both structural and functional …

Background Although structural magnetic resonance imaging (MRI) studies have repeatedly
demonstrated regional brain structural abnormalities in patients with schizophrenia …

Previous studies have shown that structural brain changes are among the best-studied
candidate markers for schizophrenia (SZ) along with functional connectivity (FC) alterations …

Aim Neuroimaging studies have revealed that patients with schizophrenia exhibit reduced
gray matter volume in various regions. With these findings, various studies have indicated …

Schizophrenia is a complex and heterogeneous syndrome. Whether quantitative imaging
biomarkers can identify discrete subgroups of patients as might be used to foster …

Multivariate pattern recognition approaches have recently facilitated the search for reliable
neuroimaging-based biomarkers in psychiatric disorders such as schizophrenia. By taking …

Structural abnormalities in schizophrenia (SZ) patients have been well documented with
structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) …

Voxel-based morphometry (VBM) may afford a more rapid and extensive survey of gray
matter abnormalities in schizophrenia than manually drawn region of interest (ROI) analysis …

Background Diagnosis of schizophrenia (SCZ) is made exclusively clinically, since specific
biomarkers that can predict the disease accurately remain unknown. Machine learning (ML) …