Cortical thickness distinguishes between major depression and schizophrenia in adolescents.

ABSTRACT:

Background

Early diagnosis of adolescent psychiatric disorder is crucial for early intervention. However, there is extensive comorbidity between affective and psychotic disorders, which increases the difficulty of precise diagnoses among adolescents.

Methods

We obtained structural magnetic resonance imaging scans from 150 adolescents, including 67 and 47 patients with major depressive disorder (MDD) and schizophrenia (SCZ), as well as 34 healthy controls (HC) to explore whether psychiatric disorders could be identified using a machine learning technique. Specifically, we used the support vector machine and the leave-one-out cross-validation method to distinguish among adolescents with MDD and SCZ and healthy controls.

Results

We found that cortical thickness was a cla

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC8293570 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature