Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: a pattern classification approach.

ABSTRACT:

Background

Diagnosis of pediatric neuropsychiatric disorders such as unipolar depression is largely based on clinical judgment - without objective biomarkers to guide diagnostic process and subsequent therapeutic interventions. Neuroimaging studies have previously reported average group-level neuroanatomical differences between patients with pediatric unipolar depression and healthy controls. In the present study, we investigated the utility of multiple neuromorphometric indices in distinguishing pediatric unipolar depression patients from healthy controls at an individual subject level.

Methods

We acquired structural T1-weighted scans from 25 pediatric unipolar depression patients and 26 demographically matched healthy controls. Multiple neuromorphometric indices such as co

SUBMITTER: Wu MJ 

PROVIDER: S-EPMC4355046 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature