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Age-related changes in the corpus callosum in early-onset bipolar disorder assessed using volumetric and cross-sectional measurements
- Source :
- Brain Imaging and Behavior. 4:220-231
- Publication Year :
- 2010
- Publisher :
- Springer Science and Business Media LLC, 2010.
-
Abstract
- Corpus callosum (CC) area abnormalities have been reported in magnetic resonance imaging (MRI) studies of adults and youths with bipolar disorder (BPD), suggesting interhemispheric communication may be abnormal in BPD and may be present early in the course of illness and affect normal neuromaturation of this structure throughout the lifecycle. Neuroimaging scans from 44 youths with DSM-IV BPD and 22 healthy controls (HC) were analyzed using cross-sectional area measurements and a novel method of volumetric parcellation. Univariate analyses of variance were conducted on CC subregions using both volume and traditional area measurements. Youths with BPD had smaller middle and posterior callosal regions, and reduced typical age-related increases in CC size. The cross-sectional area and novel volumetric methodologies resulted in similar findings. Future longitudinal assessments of CC development would track the evolution of callosal abnormalities in youths with BPD and allow exploration of the functional significance of these findings.
- Subjects :
- Male
Aging
medicine.medical_specialty
Bipolar Disorder
Adolescent
Cognitive Neuroscience
Audiology
Corpus callosum
behavioral disciplines and activities
Functional Laterality
Article
Corpus Callosum
Behavioral Neuroscience
Cellular and Molecular Neuroscience
Neuroimaging
mental disorders
Image Processing, Computer-Assisted
medicine
Humans
Radiology, Nuclear Medicine and imaging
Bipolar disorder
Child
Psychiatry
Myelin Sheath
Neuroradiology
Early onset
Univariate analysis
Anatomy, Cross-Sectional
medicine.diagnostic_test
Neuropsychology
Magnetic resonance imaging
medicine.disease
Magnetic Resonance Imaging
Diagnostic and Statistical Manual of Mental Disorders
Psychiatry and Mental health
Neurology
Data Interpretation, Statistical
Linear Models
Female
Neurology (clinical)
Psychology
Subjects
Details
- ISSN :
- 19317565 and 19317557
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- Brain Imaging and Behavior
- Accession number :
- edsair.doi.dedup.....21536dafe269ef0983a97d21306c168d
- Full Text :
- https://doi.org/10.1007/s11682-010-9101-4