Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.

ABSTRACT: Depression symptom heterogeneity limits the identifiability of treatment-response biomarkers. Whether improvement along dimensions of depressive symptoms relates to separable neural networks remains poorly understood. We build on work describing three latent symptom dimensions within the 17-item Hamilton Depression Rating Scale (HDRS) and use data-driven methods to relate multivariate patterns of patient clinical, demographic, and brain structural changes over electroconvulsive therapy (ECT) to dimensional changes in depressive symptoms. We included 110 ECT patients from Global ECT-MRI Research Collaboration (GEMRIC) sites who underwent structural MRI and HDRS assessments before and after treatment. Cross validated random forest regression models predicted change along symptom dimensions.

SUBMITTER: Wade BSC 

PROVIDER: S-EPMC8519875 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature