Multivariate pattern analysis of brain structure predicts functional outcome after auditory-based cognitive training interventions.

ABSTRACT: Cognitive gains following cognitive training interventions are associated with improved functioning in people with schizophrenia (SCZ). However, considerable inter-individual variability is observed. Here, we evaluate the sensitivity of brain structural features to predict functional response to auditory-based cognitive training (ABCT) at a single-subject level. We employed whole-brain multivariate pattern analysis with support vector machine (SVM) modeling to identify gray matter (GM) patterns that predicted higher vs. lower functioning after 40 h of ABCT at the single-subject level in SCZ patients. The generalization capacity of the SVM model was evaluated by applying the original model through an out-of-sample cross-validation analysis to unseen SCZ patients from an independent validati

SUBMITTER: Kambeitz-Ilankovic L 

PROVIDER: S-EPMC8376975 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature