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

ABSTRACT:

Background

Recent advances in multivariate pattern recognition have fostered the search for reliable neuroimaging-based biomarkers in psychiatric conditions, including schizophrenia. These approaches consider the complex pattern of alterations in brain function and structure, overcoming the limitations of traditional univariate methods. To assess the reliability of neuroimaging-based biomarkers and the contribution of study characteristics in distinguishing individuals with schizophrenia spectrum disorder (SSD) from healthy controls (HCs), we conducted a systematic review of the studies that used multivariate pattern recognition for this objective.

Methods

We systematically searched PubMed, Scopus, and Web of Science for studies on SSD classification using multivariate patte

SUBMITTER: Di Camillo F 

PROVIDER: S-EPMC11612547 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature