Abstract
Structural brain alternations have been shown in individuals with Major Depressive Disorder (MDD) including frontal and temporal regions. However, results have been mixed. The current study utilizes highly reliable and unbiased machine learning (ML) techniques to examine whole-brain cortical and sub-cortical volumetric alterations in adolescents with MDD relative to typically developing (TD) adolescents.
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