Background Disentangling psychopathological heterogeneity in schizophrenia is
challenging, and previous results remain inconclusive. We employed advanced machine …

Psychiatry continues to suffer from challenges to diagnostic validity due to lack of biological
markers. Distinctions between diagnostic categories are still largely informed on symptom …

Widespread structural brain abnormalities have been consistently reported in schizophrenia,
but their relation to the heterogeneous clinical manifestations remains unknown. In …

Identifying distinctive subtypes of schizophrenia could ultimately enhance diagnostic and
prognostic accuracy. We aimed to uncover neuroanatomical subtypes of chronic …

Objective Structural MRI (sMRI) increasingly offers insight into abnormalities inherent to
schizophrenia. Previous machine learning applications suggest that individual classification …

Focusing on biomarker identification and using biomarkers individually or in clusters to
define biological subgroups in psychiatry requires a re-orientation from behavioral …

Objective The study examined gray matter volume across psychosis diagnoses organized
by dimensional and DSM-IV categories from the Bipolar-Schizophrenia Network on …

Traditional diagnostic formulations of psychotic disorders have low correspondence with
underlying disease neurobiology. This has led to a growing interest in using brain-based …

Heterogeneity in the structural brain abnormalities associated with schizophrenia has made
identification of reliable neuroanatomical markers of the disease difficult. The use of more …

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