Prediction of pediatric bipolar disorder using neuroanatomical signatures of the amygdala.

ABSTRACT:

Objectives

Pediatric bipolar disorder is currently diagnosed based on signs and symptoms, and without objective diagnostic biomarkers. In the present study, we investigated the utility of structural neuroanatomical signatures of the amygdala to objectively differentiate individual subjects with pediatric bipolar disorder from matched healthy controls.

Methods

Structural T1 -weighted neuroimaging scans were obtained from 16 children and adolescents with unmedicated DSM-IV bipolar disorder (11 males, five females) and 16 matched healthy controls (11 males, five females). Voxel-based gray matter morphometric features extracted from a bilateral region-of-interest within the amygdala were used to develop a multivariate pattern analysis model which was utilized in predicting novel

SUBMITTER: Mwangi B 

PROVIDER: S-EPMC4234406 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature