A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis.

ABSTRACT:

Background

Psychotic disorders are characterized by structural and functional abnormalities in brain networks. Neuroimaging techniques map and characterize such abnormalities using unique features (e.g., structural integrity, coactivation). However, it is unclear if a specific method, or a combination of modalities, is particularly effective in identifying differences in brain networks of someone with a psychotic disorder.

Methods

A systematic meta-analysis evaluated machine learning classification of schizophrenia spectrum disorders in comparison to healthy control participants using various neuroimaging modalities (i.e., T1-weighted imaging (T1), diffusion tensor imaging (DTI), resting state functional connectivity (rs-FC), or some combination (multimodal)). Criteria for m

SUBMITTER: Porter A 

PROVIDER: S-EPMC10618094 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature