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Intelligence and cortical thickness in children with complex partial seizures.


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.

SUBMITTER: Tosun D 

PROVIDER: S-EPMC3117889 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature

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Intelligence and cortical thickness in children with complex partial seizures.

Tosun Duygu D   Caplan Rochelle R   Siddarth Prabha P   Seidenberg Michael M   Gurbani Suresh S   Toga Arthur W AW   Hermann Bruce B  

NeuroImage 20110507 2


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 c  ...[more]

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