Back to Search
Start Over
Intelligence and cortical thickness in children with complex partial seizures.
- Source :
-
NeuroImage [Neuroimage] 2011 Jul 15; Vol. 57 (2), pp. 337-45. Date of Electronic Publication: 2011 May 07. - Publication Year :
- 2011
-
Abstract
- Prior studies on healthy children have demonstrated regional variations and a complex and dynamic relationship between intelligence and cerebral tissue. Yet, there is little information regarding the neuroanatomical correlates of general intelligence in children with epilepsy compared to healthy controls. In vivo imaging techniques, combined with methods for advanced image processing and analysis, offer the potential to examine quantitative mapping of brain development and its abnormalities in childhood epilepsy. A surface-based, computational high resolution 3-D magnetic resonance image analytic technique was used to compare the relationship of cortical thickness with age and intelligence quotient (IQ) in 65 children and adolescents with complex partial seizures (CPS) and 58 healthy controls, aged 6-18 years. Children were grouped according to health status (epilepsy; controls) and IQ level (average and above; below average) and compared on age-related patterns of cortical thickness. Our cross-sectional findings suggest that disruption in normal age-related cortical thickness expression is associated with intelligence in pediatric CPS patients both with average and below average IQ scores.<br /> (Copyright © 2011 Elsevier Inc. All rights reserved.)
- Subjects :
- Adolescent
Cerebral Cortex growth & development
Child
Cross-Sectional Studies
Female
Humans
Intelligence Tests
Magnetic Resonance Imaging
Male
Brain Mapping methods
Cerebral Cortex pathology
Epilepsy, Complex Partial pathology
Image Interpretation, Computer-Assisted methods
Intelligence physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1095-9572
- Volume :
- 57
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- NeuroImage
- Publication Type :
- Academic Journal
- Accession number :
- 21586333
- Full Text :
- https://doi.org/10.1016/j.neuroimage.2011.04.069