Faculty Bibliography

PURPOSE: The Wechsler Intelligence Scale for Children - Fourth Edition is the most widely used intelligence quotient (IQ) test in use today. However, despite numerous studies on IQ in childhood epilepsy, data exist almost exclusively from prior editions of the test, and no studies to date provide information on the sensitivity of specific WISC-IV scores (full-scale IQ [FSIQ], index, and subtest scores) to epilepsy-related cognitive impairments. The goal of this study was to determine the relative sensitivity of WISC-IV index and subscale scores in detecting cognitive problems in a group of clinically referred children with epilepsy compared to matched controls, and to define the relationship among WISC-IV scales, demographic factors, and epilepsy-related variables. METHODS: WISC-IV data for children with epilepsy and high seizure burden were obtained from the Alberta Children's Hospital (ACH) and the New York University Comprehensive Epilepsy Center (NYU), two tertiary care medical centers for pediatric epilepsy. All children were clinically referred and received a standard assessment including WISC-IV. Matched controls were obtained from the WISC-IV Canadian and American standardization samples. KEY FINDINGS: WISC-IV scores from 212 children were included: 106 children with epilepsy (46 girls, 60 boys; mean age 11.0 years, standard deviation [SD] 3.1; parental education 14.5 years, SD 2.8), and 106 controls matched for age, gender, ethnicity, and parental education. Of the children with epilepsy, 44 had a clearly lateralized focus on electroencephalography (EEG) involving either the right or left hemisphere (26 left, 18 right). FSIQ for the epilepsy group was significantly lower than for controls, and 36.8% of children had IQs compatible with intellectual disability (FSIQ < 70), versus <1% of controls. In children with epilepsy, Working Memory and Processing Speed Index scores were lower than those for Verbal Comprehension and Perceptual Reasoning (p < 0.01). At the subtest level, scores for children with epilepsy were highest on visual and verbal subtests measuring reasoning skills such as Matrix Reasoning, and lowest on Coding (mean 5.93, SD 3.6). In terms of percentage of children on each subtest with low scores (i.e., scores below 2 SDs from the expected normative mean of 10), the Coding subtest identified the most children (28.3%) with low scores, and the Similarities subtest identified the fewest (16%). Later age at onset and shorter epilepsy duration were both correlated with higher WISC-IV FSIQ and index scores (r correlation coefficient values ranging from 0.36 to 0.44, p < 0.0001), and number of current and previous antiepileptic drug trials were both inversely correlated with FSIQ and index scores (r -0.27 to -0.47, all p-values < 0.01). Neither the FSIQ nor the index scores were significantly related to seizure frequency. A similar pattern was found for subtest scores. No differences in FSIQ, index scores, or subtest scores were found between children with left- and right-hemisphere seizure foci, or between those with positive or negative magnetic resonance imaging (MRI) findings. SIGNIFICANCE: The WISC-IV is sensitive to epilepsy-related cognitive problems in clinically referred children with high seizure burden, particularly problems relating to expressive verbal, working memory, and processing speed difficulties. Compared to healthy children, these children have a very high rate of cognitive difficulties as assessed by the WISC-IV. The usefulness of the WISC-IV in detecting cognitive deficits in children with milder forms of epilepsy remains to be determined.

Children and adolescents with epilepsy are known to demonstrate executive function dysfunction, including working memory deficits and planning deficits. Accordingly, assessing specific executive function skills is important when evaluating these individuals. The present investigation examined the utility of two measures of executive functions-the Tower of London and the Behavioral Rating Inventory of Executive Functioning (BRIEF)-in a pediatric epilepsy sample. Ninety clinically referred children and adolescents with seizures were included. Both the Tower of London and BRIEF identified executive dysfunction in these individuals, but only the Tower of London variables showed significant relations with epilepsy severity variables such as age of epilepsy onset, seizure frequency, number of antiepileptic medications, etc. Further, the Tower of London and BRIEF variables were uncorrelated. Results indicate that objective measures of executive function deficits are more closely related to epilepsy severity but may not predict observable deficits, as reported by parents. Comprehensive evaluation of such deficits, therefore, should include both objective measures as well as subjective ratings from caregivers.

Attention-deficit hyperactivity disorder (ADHD) is a frequent comorbidity in children with epilepsy. Despite similarities in behavioral manifestations of inattention and hyperactivity, it is unclear whether the neuropsychological endophenotypes of children with developmental ADHD differ from those with ADHD in the context of epilepsy. The present study compared groups of clinically referred children with both ADHD-Inattentive subtype (ADHD-I) and ADHD-Combined subtype (ADHD-C) to children with ADHD-I and ADHD-C and epilepsy on neuropsychological measures of intellectual functioning, auditory attention, working memory, and sustained attention and response inhibition. Those with ADHD and epilepsy performed more poorly on measures of intellectual function (e.g., Full-Scale IQ, Verbal IQ, Performance IQ) as well as auditory attention and working memory. Differences across the groups were also seen on a continuous performance test. Follow-up correlational analyses showed that variables such as seizure frequency and number of antiepilepsy medications predicted cognitive dysfunction in the epilepsy groups. Overall results suggest that the neuropsychological endophenotypes in developmental ADHD versus ADHD in epilepsy differ with seizure-related variables predicting cognitive dysfunction.