Subtyping Schizophrenia Patients Based on Patterns of Structural Brain Alterations

Area of Science:

• Neuroimaging
• Psychiatry
• Computational Biology

Background:

• Schizophrenia is a complex brain disorder with unclear subtypes.
• Personalized medicine approaches require identifying distinct patient groups.

Purpose of the Study:

• To investigate if quantitative imaging biomarkers can identify discrete schizophrenia subgroups.
• To explore the stability and clinical relevance of identified subgroups.

Main Methods:

• Structural MRI scans from 163 first-episode schizophrenia patients and 133 mid-course schizophrenia patients were analyzed.
• Morphometric measures including cortical thickness, surface area, and subcortical structures were extracted.
• Unsupervised cluster analysis was used to identify patient subgroups based on brain morphometry.

Main Results:

• Three distinct subgroups of schizophrenia patients were identified based on regional cortical and subcortical morphometric patterns.
• This three-subgroup typology was consistent across both first-episode and mid-course schizophrenia patient cohorts.
• Cognitive function varied across subgroups, with one subgroup exhibiting poorer cognitive performance.

Conclusions:

• Structural MRI-based subgrouping can identify neurobiologically distinct schizophrenia patient subtypes.
• These subtypes appear stable across different stages of the illness.
• The identified subtypes demonstrate clinical differences, supporting their utility in future research and clinical trials.