Language development after cochlear implantation: an epigenetic model

Growing evidence supports the notion that dynamic gene expression, subject to epigenetic control, organizes multiple influences to enable a child to learn to listen and to talk. Here, we review neurobiological and genetic influences on spoken language development in the context of results of a longitudinal trial of cochlear implantation of young children with severe to profound sensorineural hearing loss in the Childhood Development after Cochlear Implantation study. We specifically examine the results of cochlear implantation in participants who were congenitally deaf (N = 116). Prior to intervention, these participants were subject to naturally imposed constraints in sensory (acoustic–phonologic) inputs during critical phases of development when spoken language skills are typically achieved rapidly. Their candidacy for a cochlear implant was prompted by delays (n = 20) or an essential absence of spoken language acquisition (n = 96). Observations thus present an opportunity to evaluate the impact of factors that influence the emergence of spoken language, particularly in the context of hearing restoration in sensitive periods for language acquisition. Outcomes demonstrate considerable variation in spoken language learning, although significant advantages exist for the congenitally deaf children implanted prior to 18 months of age. While age at implantation carries high predictive value in forecasting performance on measures of spoken language, several factors show significant association, particularly those related to parent–child interactions. Importantly, the significance of environmental variables in their predictive value for language development varies with age at implantation. These observations are considered in the context of an epigenetic model in which dynamic genomic expression can modulate aspects of auditory learning, offering insights into factors that can influence a child’s acquisition of spoken language after cochlear implantation. Increased understanding of these interactions could lead to targeted interventions that interact with the epigenome to influence language outcomes with intervention, particularly in periods in which development is subject to time-sensitive experience

Ketogenic Diet Improves Sleep Quality in Children with Therapy-resistant Epilepsy.

Summary: Purpose: The study purpose was to evaluate sleep structure during ketogenic diet (KD) treatment in children with therapy-resistant epilepsy and to correlate possible alterations with changes in clinical effects on seizure reduction, seizure severity, quality of life (QOL), and behavior. Methods: Eighteen children were examined with ambulatory polysomnographic recordings initially and after 3 months of KD treatment. Eleven children continued with the KD and were also evaluated after 12 months. Sleep parameters were estimated. Seizure frequency was recorded in a diary and seizure severity in the National Health Seizure Severity Scale (NHS3). QOL was assessed with a visual analogue scale. Child behavior checklist and Ponsford and Kinsella's rating scale of attentional behavior were used. Results: KD induced a significant decrease in total sleep (p = 0.05) and total night sleep (p = 0.006). Slow wave sleep was preserved, rapid eye movement (REM) sleep increased (p = 0.01), sleep stage 2 decreased (p = 0.004), and sleep stage 1 was unchanged. Eleven children continued with the KD and were also evaluated after 12 months. They showed a significant decrease in daytime sleep (p = 0.01) and a further increase in REM sleep (p = 0.06). Seizure frequency (p = 0.001, p = 0.003), seizure severity (p < 0.001, p = 0.005) and QOL (p < 0.001, p = 0.005) were significantly improved at 3 and 12 months. Attentional behavior was also improved, significantly so at 3 months (p = 0.003). There was a significant correlation between increased REM sleep and improvement in QOL (Spearman r = 0.6, p = 0.01) at 3 months. Conclusion: KD decreases sleep and improves sleep quality in children with therapy-resistant epilepsy. The improvement in sleep quality, with increased REM sleep, seems to contribute to the improvement in QOL