Mathematics Skills in Epilepsy: A Systematic Review and Meta-Analysis.

Mathematics incorporates a broad range of skills, which includes basic early numeracy skills, such as subitizing and basic counting to more advanced secondary skills including mathematics calculation and reasoning. The aim of this review was to undertake a detailed investigation of the severity and pattern of early numeracy and secondary mathematics skills in people with epilepsy. Searches were guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Twenty adult studies and 67 child studies were included in this review. Overall, meta-analyses revealed significant moderate impairments across all mathematics outcomes in both adults (g= -0.676), and children (g= -0.593) with epilepsy. Deficits were also observed for specific mathematics outcomes. For adults, impairments were found for mathematics reasoning (g= -0.736). However, two studies found that mathematics calculation was not significantly impaired, and an insufficient number of studies examined early numeracy skills in adults. In children with epilepsy, significant impairments were observed for each mathematics outcome: early numeracy (g= -0.383), calculation (g= -0.762), and reasoning (g= -0.572). The gravity of impairments also differed according to the site of seizure focus for children and adults, suggesting that mathematics outcomes were differentially vulnerable to the location of seizure focus.

Mathematics difficulties are related to mathematics anxiety in children with epilepsy: An online study.

AIM: Children with epilepsy have an increased risk of difficulties with mathematics. Research into the mathematics difficulties of children with epilepsy, however, is limited. This study sought to determine whether the mathematics difficulties of children with epilepsy are related to mathematics anxiety over and above other previously identified factors (reading difficulties, generalized anxiety, and working memory). METHOD: Seventy-nine parents of children with epilepsy and 72 parents of typically developing children completed online questionnaires on their child's mathematics and reading difficulties (CLDQ; Colorado Learning Difficulties Questionnaire), mathematics anxiety (mAMAS; Modified Abbreviated Math Anxiety Scale), general anxiety (SCAS; Spence Child Anxiety Scale), and working memory (BRIEF-2; Brief Rating Inventory of Executive Function-2nd Edition). Questionnaires also collected demographic information and epilepsy variables. RESULTS: Children with epilepsy had higher scores on the CLDQ mathematics subscale (CLDQm) and the mAMAS compared to typically developing children. Younger age of epilepsy onset, higher seizure frequency, and a greater number of anti-seizure medications accounted for 20.4% of the variance on the CLDQm. The CLDQ reading subscale (CLDQr) justified an additional 14% of the variance on the CLDQm. Finally, the mAMAS explained 20.2% of the variance on the CLDQm, after controlling for epilepsy variables and CLDQr. In contrast, the BRIEF-2 and SCAS did not account for a significant amount of variance on the CLDQm. SIGNIFICANCE: Mathematics anxiety is the most significant contributor to mathematics difficulties experienced by children with epilepsy. Difficulties with reading and epilepsy factors also have significant, albeit smaller contributions to mathematics difficulties in this clinical population. Given the multiplicity of factors contributing to mathematics difficulties, a comprehensive, multidisciplinary treatment is needed.

Difficulties with mathematics experienced by adults with epilepsy in daily life: An online study.

OBJECTIVE: Mathematics encompass a variety of skills, broadly grouped into basic numeracy to complex secondary mathematical skills. In children with epilepsy difficulties with mathematics are common and related to a multicomponent working memory capacity. Little is known about mathematical skills of adults with epilepsy in daily life. Hence, we aimed to compare basic and secondary mathematical skills of adults with epilepsy to controls, examine relations between mathematical skills and working memory, and explored relationships between mathematical skills and epilepsy variables (age of onset, seizure frequency, and anti-seizure medication). METHODS: Eighty four people with epilepsy and 86 healthy controls completed questionnaires on their subjective experience of using mathematics and working memory skills in daily life: The Dyscalculia Checklist (DC) and Working Memory Questionnaire (WMQ; including attention, storage, and executive scales), respectively. Questionnaires also collected demographic and epilepsy variables. RESULTS: Adults with epilepsy reported greater difficulties in basic and secondary mathematical skills on the DC compared with controls. Only one epilepsy variable, a younger age of epilepsy onset, related to higher DC scores (greater mathematical difficulties), but was not significantly related in regression analyses. Instead, the WMQ explained 33% of the variance on the DC; the poorer storage and attention (but not executive) on the WMQ were associated with the higher DC score, when demographic and epilepsy variables were accounted for. SIGNIFICANCE: Adults with epilepsy reported significant difficulties with mathematics in daily life, which were not explained by epilepsy variables but by poor working memory. While our findings suggest that daily difficulties with mathematics may be comorbid with epilepsy rather than epilepsy related, it is important to be cognizant of mathematical difficulties experienced by patients with epilepsy as they have potential to impact understanding of numerical information provided in patient care, such as risks associated with different epilepsy treatments.

Working Memory in Pediatric Epilepsy: A Systematic Review and Meta-Analysis.

Working memory is a multicomponent system that is supported by overlapping specialized networks in the brain. Baddeley's working memory model includes four components: the phonological loop, visuo-spatial sketchpad, the central executive, and episodic buffer. The aim of this review was to establish the gravity and pattern of working memory deficits in pediatric epilepsy. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guided electronic searches. Sixty-five studies were included in the review. Meta-analyses revealed significant impairments across each working memory component: phonological loop (g = 0.739), visuo-spatial sketchpad (g = 0.521), and central executive (g = 0.560) in children with epilepsy compared to controls. The episodic buffer was not examined. The pattern of impairments, however, differed according to the site and side of seizure focus. This suggests that working memory components are differentially vulnerable to the location of seizure focus in the developing brain.

Motor-evoked potentials reveal functional differences between dominant and non-dominant motor cortices during response preparation.

Transcranial magnetic stimulation (TMS) of the motor cortex produces motor-evoked potentials (MEPs) in contralateral muscles. The amplitude of these MEPs can be used to measure the excitability of the corticospinal tract during motor planning. In two experiments, we investigated learning-related changes in corticospinal excitability as subjects prepared to respond in a choice reaction-time task. Subjects responded with their left or right hand to a left or right arrow, and on some trials the arrow was immediately preceded by a warning cue that signaled which response would be required. TMS was applied to the motor cortex during the warning cues, and MEPs were measured in the dominant or non-dominant hand. We observed changes in corticospinal excitability during the warning cue, but these depended on which hand the subject was preparing to respond with, and how experienced they were with the task. When subjects prepared to respond with the non-dominant hand, excitability increased in the non-dominant hemisphere and decreased in the dominant hemisphere. These changes became stronger with task experience, and were accompanied by behavioral improvements in the task. When subjects were preparing a dominant-hand response, the non-dominant hemisphere was suppressed, but this effect disappeared as subjects gained experience with the task. There were no changes in the dominant hemisphere before dominant-hand responses. We conclude that preparing to respond with the non-dominant hand involves temporarily reversing an asymmetry in excitability that normally favors the dominant hemisphere, and that this pattern is enhanced by learning during the task.