Morphological Profiling of Schizophrenia: Cluster Analysis of MRI-Based Cortical Thickness Data.

ABSTRACT: The diagnosis of schizophrenia is thought to embrace several distinct subgroups. The manifold entities in a single clinical patient group increase the variance of biological measures, deflate the group-level estimates of causal factors, and mask the presence of treatment effects. However, reliable neurobiological boundaries to differentiate these subgroups remain elusive. Since cortical thinning is a well-established feature in schizophrenia, we investigated if individuals (patients and healthy controls) with similar patterns of regional cortical thickness form naturally occurring morphological subtypes. K-means algorithm clustering was applied to regional cortical thickness values obtained from 256 structural MRI scans (179 patients with schizophrenia and 77 healthy controls [HCs]). GAP s

SUBMITTER: Pan Y 

PROVIDER: S-EPMC7147597 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature