Mapping language networks and their association with verbal abilities in paediatric epilepsy using MEG and graph analysis.

Recent theoretical models of language have emphasised the importance of integration within distributed networks during language processing. This is particularly relevant to young patients with epilepsy, as the topology of the functional network and its dynamics may be altered by the disease, resulting in reorganisation of functional language networks. Thus, understanding connectivity within the language network in patients with epilepsy could provide valuable insights into healthy and pathological brain function, particularly when combined with clinical correlates. The objective of this study was to investigate interactions within the language network in a paediatric population of epilepsy patients using measures of MEG phase synchronisation and graph-theoretical analysis, and to examine their association with language abilities. Task dependent increases in connectivity were observed in fronto-temporal networks during verb generation across a group of 22 paediatric patients (9 males and 13 females; mean age 14 years). Differences in network connectivity were observed between patients with typical and atypical language representation and between patients with good and poor language abilities. In addition, node centrality in left frontal and temporal regions was significantly associated with language abilities, where patients with good language abilities had significantly higher node centrality within inferior frontal and superior temporal regions of the left hemisphere, compared to patients with poor language abilities. Our study is one of the first to apply task-based measures of MEG network synchronisation in paediatric epilepsy, and we propose that these measures of functional connectivity and node centrality could be used as tools to identify critical regions of the language network prior to epilepsy surgery.

Establishing a Developmentally Appropriate fMRI Paradigm Relevant to Presurgical Mapping of Memory in Children.

Functional magnetic resonance imaging (fMRI) is an established eloquent cortex mapping technique that is now an integral part of the pre-operative work-up in candidates for epilepsy surgery. Emerging evidence in adults with epilepsy suggests that material-specific fMRI paradigms can predict postoperative memory outcomes, however these paradigms are not suitable for children. In pediatric age, the use of memory fMRI paradigms designed for adults is complicated by the effect of developmental stages in cognitive maturation, the impairment experienced by some people with temporal lobe epilepsy (TLE) and the normal representation of memory function during development, which may differ from adults. We present a memory fMRI paradigm designed to activate mesial temporal lobe structures that is brief, independent of reading ability, and therefore a novel candidate for use in children. Data from 33 adults and 19 children (all healthy controls) show that the paradigm captures the expected leftward asymmetry of mesial temporal activation in adults. A more symmetrical pattern was observed in children, consistent with the progressive emergence of hemispheric specialisation across childhood. These data have important implications for the interpretation of presurgical memory fMRI in the pediatric setting. They also highlight the need to carefully consider the impact of cognitive development on fMRI tools used in clinical practice.

MEG Assessment of Expressive Language in Children Evaluated for Epilepsy Surgery.

Establishing language dominance is an important step in the presurgical evaluation of patients with refractory epilepsy. In the absence of a universally accepted gold-standard non-invasive method to determine language dominance in the preoperative assessment, a range of tools and methodologies have recently received attention. When applied to pediatric age, many of the proposed methods, such as functional magnetic resonance imaging (fMRI), may present some challenges due to the time-varying effects of epileptogenic lesions and of on-going seizures on maturational phenomena. Magnetoencephalography (MEG) has the advantage of being insensitive to the distortive effects of anatomical lesions on brain microvasculature and to differences in the metabolism or vascularization of the developing brain and also provides a less intimidating recording environment for younger children. In this study we investigated the reliability of lateralized synchronous cortical activation during a verb generation task in a group of 28 children (10 males and 18 females, mean age 12 years) with refractory epilepsy who were evaluated for epilepsy surgery. The verb generation task was associated with significant decreases in beta oscillatory power (13-30 Hz) in frontal and temporal lobes. The MEG data were compared with other available presurgical non-invasive data including cortical stimulation, neuropsychological and fMRI data on language lateralization where available. We found that the lateralization of MEG beta power reduction was concordant with language dominance determined by one or more different assessment methods (i.e. cortical stimulation mapping, neuropsychological, fMRI or post-operative data) in 89% of patients. Our data suggest that qualitative hemispheric differences in task-related changes of spectral power could offer a promising insight into the contribution of dominant and non-dominant hemispheres in language processing and may help to characterize the specialization and lateralization of language processes in children.

Prospective assessment of autism traits in children exposed to antiepileptic drugs during pregnancy.

PURPOSE: The association between autism spectrum disorders (ASDs) and prenatal anticonvulsant exposure is increasingly investigated, but comprehensive, blinded assessment using a validated instrument for autism within a well-characterized prospective cohort has not been conducted. Thus, existing studies may represent an underestimate of the true risk. Herein we present a prospective cohort study in children exposed to anticonvulsants during pregnancy, with all assessments conducted by examiners who were blinded to drug-exposure status. METHODS: Participants were 105 Australian children aged 6-8 years who were recruited via the Australian Pregnancy Register for Women on Antiepileptic Medication. Maternal epilepsy, pregnancy, and medical history data were obtained prospectively. Autism traits were assessed using the Childhood Autism Rating Scale (CARS). RESULTS: Eleven children (10.5%) had elevated CARS scores. Two were exposed to valproate monotherapy (2/26; 7.7%), two to carbamazepine monotherapy (2/34; 5.9%), and seven to valproate in polytherapy (7/15; 46.7%). Linear regression analysis showed that the mean valproate dose during pregnancy was a significant predictor of CARS scores after controlling for polytherapy, mean carbamazepine dose, folic acid use, seizures during pregnancy, tobacco and marijuana use, maternal intelligence quotient (IQ), and socioeconomic status. First trimester folic acid supplementation and marijuana use were also significant predictors of CARS scores. SIGNIFICANCE: Using direct assessment of children in our prospective study, we found an elevated rate of autism traits across the sample. The most important determinant of association with autistic traits was higher doses of sodium valproate exposure. The use of valproate in women who may become pregnant is now generally avoided; however, there are insufficient data regarding the risk of ASD with low-dose valproate. If this risk is no greater than with other antiepileptic drugs (AED)s, it may enable women with genetic generalized epilepsy to retain optimal seizure control as well as minimize harm to their unborn child.