Preliminary study of magnetic resonance imaging characteristics in 8- to 16-year-olds with mania

J Am Acad Child Adolesc Psychiatry. 1995 Jun;34(6):742-9. doi: 10.1097/00004583-199506000-00014.


Objective: To examine magnetic resonance imaging (MRI) characteristics in children and adolescents with mania according to DSM-III-R criteria.

Method: A convenience sample of consecutively referred 8- to 16-year-old manic (n = 10) and normal (n = 5) subjects were assessed using the Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present Episode Version, the Children's Global Assessment Scale, and the Family History-Research Diagnostic Criteria. MRI scans were obtained from unsedated subjects using a 1.5 T MR scanner to acquire T1-weighted coronal and sagittal images and T2-weighted axial images. Images were assessed by blind clinical interpretation, ratings of T2-weighted deep white matter hyperintensities and petalia, and computer-assisted volumetric analysis of ventricular and cerebral volumes.

Results: Eight of 10 manic subjects and all 5 controls completed the scans. Scans of 4 manic subjects and 1 control subject showed ventricular or white matter abnormalities by clinical interpretation. Significant findings were positive correlations between increasing age and both right and left ventricular volumes. Two of the 8 manic subjects and no controls had confluent subcortical hyperintensities.

Conclusions: MRI brain scanning was feasible in 8- to 16-year-olds. Preliminary findings from clinical interpretations and structured ratings suggest structural differences between young manic and normal subjects. Investigations of larger samples are needed to better characterize the differences.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Bipolar Disorder / diagnosis*
  • Brain / pathology*
  • Brain Damage, Chronic / diagnosis*
  • Cerebral Cortex / pathology
  • Cerebral Ventricles / pathology
  • Child
  • Dominance, Cerebral / physiology
  • Female
  • Humans
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging*
  • Male
  • Neurocognitive Disorders / diagnosis*