Magnetic resonance imaging-based machine learning classification of schizophrenia spectrum disorders: a meta-analysis.

Fabio Di CamilloDavid Antonio GrimaldiGiulia CattarinussiAnnabella Di GiorgioClara LocatelliAdyasha KhuntiaPaolo EnricoPaolo BrambillaNikolaos KoutsoulerisFabio Sambataro

Published in: Psychiatry and clinical neurosciences (2024)

Multivariate pattern analysis reliably identifies neuroimaging-based biomarkers of SSD, achieving ∼80% SE and SP. Despite clinical heterogeneity, discernible brain modifications effectively differentiate SSD from HCs. Classification performance depends on patient-related and methodological factors crucial for the development, validation, and application of prospective models in clinical settings.

Keyphrases

machine learning
magnetic resonance imaging
deep learning
bipolar disorder
artificial intelligence
computed tomography
big data
genome wide
white matter
case report
gene expression
data analysis
contrast enhanced