Multi-domain potential biomarkers for post-traumatic stress disorder (PTSD) severity in recent trauma survivors.

ABSTRACT: Contemporary symptom-based diagnosis of post-traumatic stress disorder (PTSD) largely overlooks related neurobehavioral mechanisms and relies entirely on subjective interpersonal reporting. Previous studies associating biomarkers with PTSD have mostly used symptom-based diagnosis as the main outcome measure, disregarding the wide variability and richness of PTSD phenotypical features. Here, we aimed to computationally derive potential biomarkers that could efficiently differentiate PTSD subtypes among recent trauma survivors. A three-staged semi-unsupervised method ("3C") was used to firstly categorize individuals by current PTSD symptom severity, then derive clusters based on clinical features related to PTSD (e.g. anxiety and depression), and finally to classify participants' cluster mem

SUBMITTER: Ben-Zion Z 

PROVIDER: S-EPMC7320966 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature