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Dataset Information

Neurostructural Heterogeneity in Youths With Internalizing Symptoms.


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