Individualized multi-modal MRI biomarkers predict 1-year clinical outcome in first-episode drug-naive schizophrenia patients.

ABSTRACT:

Background

Antipsychotic medications offer limited long-term benefit to about 30% of patients with schizophrenia. We aimed to explore the individual-specific imaging markers to predict 1-year treatment response of schizophrenia.

Methods

Structural morphology and functional topological features related to treatment response were identified using an individualized parcellation analysis in conjunction with machine learning (ML). We performed dimensionality reductions using the Pearson correlation coefficient and three feature selection analyses and classifications using 10 ML classifiers. The results were assessed through a 5-fold cross-validation (training and validation cohorts, n = 51) and validated using the external test cohort (n = 17).

Results

ML algorithms based

SUBMITTER: Zhang A 

PROVIDER: S-EPMC11427343 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature