Deriving psychiatric symptom-based biomarkers from multivariate relationships between psychophysiological and biochemical measures.

ABSTRACT: Identification of biomarkers for psychiatric disorders remains very challenging due to substantial symptom heterogeneity and diagnostic comorbidity, limiting the ability to map symptoms to underlying neurobiology. Dimensional symptom clusters, such as anhedonia, hyperarousal, etc., are complex and arise due to interactions of a multitude of complex biological relationships. The primary aim of the current investigation was to use multi-set canonical correlation analysis (mCCA) to derive biomarkers (biochemical, physiological) linked to dimensional symptoms across the anxiety and depressive spectrum. Active-duty service members (N = 2,592) completed standardized depression, anxiety and posttraumatic stress questionnaires and several psychophysiological and biochemical assays. Using this appr

SUBMITTER: Stout DM 

PROVIDER: S-EPMC9630445 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature