Ontology highlight
ABSTRACT: Background
Internalizing disorders such as anxiety and depression are common psychiatric disorders that frequently begin in youth and exhibit marked heterogeneity in treatment response and clinical course. Given that symptom-based classification approaches do not align with underlying neurobiology, an alternative approach is to identify neurobiologically informed subtypes based on brain imaging data.Methods
We used a recently developed semisupervised machine learning method (HYDRA [heterogeneity through discriminative analysis]) to delineate patterns of neurobiological heterogeneity within youths with internalizing symptoms using structural data collected at 3T from a sample of 1141 youths.Results
Using volume and cortical thickness, cross-validation methods indicat
SUBMITTER: Kaczkurkin AN
PROVIDER: S-EPMC7007843 | biostudies-literature | 2020 Mar
REPOSITORIES: biostudies-literature