Childhood epilepsy and sleep

NKCC1 inhibition improves sleep quality and EEG information content in a Down syndrome mouse model

In several brain disorders, the hyperpolarizing/inhibitory effects of GABA signaling through Cl-permeable GABAA receptors are compromised, leading to an imbalance between neuronal excitation and inhibition. For example, the Ts65Dn mouse model of Down syndrome (DS) exhibits increased expression of the Cl- importer NKCC1, leading to depolarizing gamma aminobutyric acid (GABA) signaling in the mature hippocampus and cortex. Inhibiting NKCC1 with the Food and Drug Administration (FDA)-approved diuretic bumetanide rescues inhibitory GABAergic transmission, synaptic plasticity, and cognitive functions in adult Ts65Dn mice. Given that DS individuals and Ts65Dn mice show sleep disturbances, and considering the key role of GABAergic transmission in sleep, we investigated whether NKCC1 upregulation contributes to sleep abnormalities in adult Ts65Dn mice. Chronic oral administration of bumetanide ameliorated the spectral profile of sleep, sleep architecture, and electroencephalogram (EEG) entropy/complexity, accompanied by a lower hyperactivity in trisomic mice. These results offer a potential avenue for addressing common sleep disturbances in DS.

The impact of sleep disorders on quality of life in patients with epilepsy

OBJECTIVE

We aimed to explore the prevalence of sleep disorders and their impact on the quality of life (QoL) in patients with epilepsy (PWE) in western China.

METHODS

This cross-sectional study included PWE aged ≥14 years who were assessed using QoL in epilepsy-31 inventory (QOLIE-31), Insomnia Severity Index (ISI), STOP-BANG questionnaire, Epworth sleepiness scale (ESS), Pittsburgh sleep quality index (PSQI), Chinese version of Neurological Disorders Depression Inventory for Epilepsy (CNDDI-E) and Generalized Anxiety Disorder-7 (GAD-7). The impact of sleep disorders, depression and anxiety on all aspects of QOLIE-31 scores in PWE were assessed.

RESULTS

A total of 458 PWE were enrolled. Mean QOLIE-31 score was 51.27±9.69. Relevant assessment scales showed that 10.3 % of the patients suffered from insomnia, 12.9 % of the cohort had a high risk of obstructive sleep apnea (OSA), 33.0 % of the patients had excessive daytime sleepiness (EDS), 48.0 % of the patients reported poor sleep, while 46.3 % and 36.5 % of the patients reported depression and anxiety, respectively. The stepwise multivariate linear regression analysis highlighted that depression(β=-0.638, 95 %CI:0.876∼-0.401, p < 0.05), anxiety(β=-0.508, 95 %CI:0.708∼-0.307, p < 0.05), EDS(β=-0.210, 95 % CI:0.364∼-0.057, p = 0.007), number of antiseizure medications (ASMs)(β=-1.268, 95 % CI:2.318∼-0.217, p = 0.018), insomnia(β=-0.161, 95 % CI:0.292∼-0.030, p = 0.016) and seizure frequency(β=-0.570, 95 % CI:1.129∼-0.011, p = 0.046) were the main factors that influenced the total score of QOLIE-31 in PWE.

CONCLUSIONS

PWE showed a high prevalence of sleep disorders, especially insomnia, OSA and EDS, which significantly reduced the QoL of PWE in western China. Addressing sleep and psychiatric disorders might improve the overall QoL of PWE.

Causal relationship between sleep traits and risk of Epilepsy: A Mendelian randomization study

BACKGROUND

Observational studies have identified a strong correlation between epilepsy and sleep traits, highlighting their interactive relationship. However, no studies have specifically examined the associations between sleep traits and epilepsy. In this context, we conducted a Mendelian Randomization (MR) investigation to explore the causal nature of these associations.

METHODS

We performed a two-sample Mendelian Randomization (MR) analysis model to genetically predict the causal effects of morning chronotype on epilepsy. Five MR analysis methods were conducted to analyze the final results. The inverse-variance weighted (IVW) method was used as the primary outcome. The other MR analysis methods (MR-Egger; Weighted Mode; and Weighted median (WM)) were conducted as the complement to IVW. In addition, the robustness of the MR analysis results was assessed by leave-one-out analysis.

RESULTS

In forward MR, epilepsy showed causal relationships with sleep duration (IVW beta = 0.008, P = 0.015). Specifically, doubling the odds of inheriting epilepsy may be associated with a 0.0075 standard deviation (SD) (95 % CI: 1.001 to 1.014) increase in sleep duration. In reverse MR, we found statistically significant associations between chronotype (evening preference) (OR = 1.397, p = 0.007) and insomnia (OR = 2.280, p = 0.025) and the risk of epilepsy.

CONCLUSION

Our two-sample Mendelian randomization analyses indicate that individuals with epilepsy frequently experience extended sleep duration. Additionally, we identified insomnia and chronotype (evening preference) as significant risk factors that increase the likelihood of developing epilepsy.

A conserved role for ALG10/ALG10B and the N -glycosylation pathway in the sleep-epilepsy axis

Congenital disorders of glycosylation (CDG) comprise a class of inborn errors of metabolism resulting from pathogenic variants in genes coding for enzymes involved in the asparagine-linked glycosylation of proteins. Unexpectedly to date, no CDG has been described for ALG10 , encoding the alpha-1,2-glucosyltransferase catalyzing the final step of lipid-linked oligosaccharide biosynthesis. Genome-wide association studies (GWAS) of human traits in the UK Biobank revealed significant SNP associations with short sleep duration, reduced napping frequency, later sleep timing and evening diurnal preference as well as cardiac traits at a genomic locus containing a pair of paralogous enzymes ALG10 and ALG10B . Modeling Alg10 loss in Drosophila, we identify an essential role for the N -glycosylation pathway in maintaining appropriate neuronal firing activity, healthy sleep, preventing seizures, and cardiovascular homeostasis. We further confirm the broader relevance of neurological findings associated with Alg10 from humans and flies using zebrafish and nematodes and demonstrate conserved biochemical roles for N -glycosylation in Arabidopsis . We report a human subject homozygous for variants in both ALG10 and ALG10B arising from a consanguineous marriage, with epilepsy, brain atrophy, and sleep abnormalities as predicted by the fly phenotype. Quantitative glycoproteomic analysis in our Drosophila model identifies potential key molecular targets for neurological symptoms of CDGs.

Evaluation of Sleep Habits and Their Relationship With Quality of Life in Children With Epilepsy

BACKGROUND

The aim of this study was to investigate sleep habits, quality of life (QoL), and the relationship between them in children with epilepsy.

METHODS

In this cross-sectional study, children aged two to 18 years being followed up for epilepsy were assessed using the Children's Sleep Habits Questionnaire (CSHQ) and the Pediatric Quality of Life Inventory (PedsQL). Pearson or Spearman correlation analysis was performed to examine the relationship between normally distributed and non-normally distributed variables, respectively. Linear regression analysis was used to examine independent variables associated with PedsQL total scale score. Level of significance was accepted as P < 0.05.

RESULTS

The study included 112 children with a mean age of 10.5 ± 4.4 years (51.8% female). The frequency of poor sleep habits was 96.4%. There was a good level of agreement between children's and parents' PedsQL total, physical health, and psychosocial health scores (P < 0.001). Correlation analysis between QoL and sleep parameters revealed negative correlations between total sleep score and self-assessed PedsQL total scale, physical health, and psychosocial health scores (P < 0.05) and parent-assessed PedsQL total scale and psychosocial health scores (P < 0.05). The results of linear regression analysis indicated that the factors most significantly associated with lower QoL were high CSHQ total sleep score and exclusively daytime seizures (P < 0.001).

CONCLUSIONS

It was found that children with epilepsy had poor sleep habits and low QoL and that poor sleep habits have a negative impact on QoL.

General approach to treatment of genetic leukoencephalopathies in children and adults

Despite the enormous advancements seen in recent years, curative therapies for patients with genetic leukoencephalopathies are available for only a relatively small number of disorders. Therefore, symptomatic treatment and preventive management of the multiple clinical manifestations of patients with genetic leukoencephalopathies are critical in their care. The goals of the symptomatic treatment are to improve patients' quality of life, increase their survival, and reduce the impact on medical resources and related expenses. The coordinated work of a multidisciplinary team, including all specialists involved in the care of these patients, is the gold standard approach to manage and treat their complex and evolving clinical picture. Along with a multidisciplinary team, the relationship and close collaboration with the patient and their caregivers are essential. Their insight into the disease manifestations and management of the different issues should be integrated with the assessments of the multidisciplinary team to prevent clinical complications and preserve the quality of life of patients and their caregivers. Genetic leukoencephalopathies are very heterogeneous in terms of age of onset, clinical features, and disease course. However, many clinical features and problems are shared by most forms. Consequently, common therapeutic strategies apply to the majority of these diseases. This chapter presents the symptomatic approach for shared core clinical features presented by patients with genetic leukoencephalopathies divided by systems and, for each system, the specificities of some genetic leukoencephalopathies.

Quality of life and its relation with sleep habits of children with epilepsy from Eastern India

BACKGROUND

Epilepsy is one of the most common chronic disorders of the central nervous system. The quality of life of children with epilepsy is influenced by various factors including their sleep. To assess the quality of life and sleep habits among children with epilepsy and to determine the association of QOL and sleep habits, with sociodemographic and clinical variables.

MATERIALS AND METHODS

A cross-sectional study was carried out among 50 epileptic children aged 4-18 years, recruited using a convenient sampling technique from the IPDs and OPDs of the Paediatrics department of a tertiary care hospital in Eastern India. The data were collected using QOLCE-16 and CSHQ from parents of children with epilepsy. The collected data were analyzed using descriptive and inferential statistics such as ANOVA and Pearson correlation test.

RESULTS

The overall mean score of QOL was 50.78 ± 17.98, with the cognitive domain having the highest mean score of 65.50 ± 27.79 and the social domain having the lowest mean score of 29.87 ± 22.81. The overall mean sleep score was found to be 56.98 ± 8.13. Daytime sleepiness, parasomnias, and bedtime resistance were found to be frequent sleep problems in children with epilepsy. There was a significant negative correlation between QOL and sleep disturbances in children with epilepsy (r = -0.65, P ≤ 0.001).

CONCLUSION

The QOL of children with epilepsy should be improved to reduce the effect of sleep problems. Epilepsy children should be treated appropriately with due focus on medication compliance as it was found to be one of the determinants in improving their QOL.

The Interaction Between Sleep and Epilepsy

PURPOSE OF REVIEW

To review the mutual interactions between sleep and epilepsy, including mechanisms of epileptogenesis, the relationship between sleep apnea and epilepsy, and potential strategies to treat seizures.

RECENT FINDINGS

Recent studies have highlighted the role of functional network systems underlying epileptiform activation in sleep in several epilepsy syndromes, including absence epilepsy, benign focal childhood epilepsy, and epileptic encephalopathy with spike-wave activation in sleep. Sleep disorders are common in epilepsy, and early recognition and treatment can improve seizure frequency and potentially reduce SUDEP risk. Additionally, epilepsy is associated with cyclical patterns, which has led to new treatment approaches including chronotherapy, seizure monitoring devices, and seizure forecasting. Adenosine kinase and orexin receptor antagonists are also promising new potential drug targets that could be used to treat seizures. Sleep and epilepsy have a bidirectional relationship that intersects with many aspects of clinical management. In this article, we identify new areas of research involving future therapeutic opportunities in the field of epilepsy.

When the Locus Coeruleus Speaks Up in Sleep: Recent Insights, Emerging Perspectives

For decades, numerous seminal studies have built our understanding of the locus coeruleus (LC), the vertebrate brain’s principal noradrenergic system. Containing a numerically small but broadly efferent cell population, the LC provides brain-wide noradrenergic modulation that optimizes network function in the context of attentive and flexible interaction with the sensory environment. This review turns attention to the LC’s roles during sleep. We show that these roles go beyond down-scaled versions of the ones in wakefulness. Novel dynamic assessments of noradrenaline signaling and LC activity uncover a rich diversity of activity patterns that establish the LC as an integral portion of sleep regulation and function. The LC could be involved in beneficial functions for the sleeping brain, and even minute alterations in its functionality may prove quintessential in sleep disorders.

Sleep Disturbances in Chinese Children with Epilepsy: Associations with Behavioral Problems and Quality of Life

OBJECTIVE

To investigate the association between sleep disturbances and behavioral problems as well as quality of life (QOL) in Chinese children with epilepsy.

METHODS

Caregivers of 167 epileptic children aged 3 to 12 years completed the Child Sleep Habits Questionnaire (CSHQ), the Strengths and Difficulties Questionnaire (SDQ), and the Pediatric Quality of Life Inventory (PedsQL™, 4.0 Core).

RESULTS

The prevalence of sleep disturbances (CSHQ total score >41) in epileptic children was 73.7% [95% CI (66.9%.80.4%)]. Epileptic children with sleep disturbances demonstrated more behavioral problems and lower QOL compared to those without sleep disturbances. Sleep disturbances such as sleep anxiety and daytime sleepiness were associated with more behavioral problems and lower QOL (p <0.05). Linear regression analyses showed that higher disturbance in sleep duration domain were associated with more behavioral problems, while higher sleep disordered breathing domains was associated with lower QOL (p <0.05). The interaction between sleep disturbances and behavioral problems in predicting QOL was not significant. The sensitivity analysis using 48 as an alternative cutoff for CSHQ total score obtained consistent results.

CONCLUSION

Sleep disturbances occur frequently among Chinese children with epilepsy, and are associated with more behavioral problems and lower QOL. The sleep disturbance-QOL association is unlikely contingent on behavioral problems. This study highlights the necessity of evaluating and treating sleep disturbances multidimensionally among children with epilepsy to promote their whole health and wellbeing.

Health status of people with autism spectrum disorder

Purpose

The aim of this study is to determine what changes occur in the health status of people with autism spectrum disorder (ASD) compared to neurotypical controls.

Design/methodology/approach

The authors performed a comparative analysis of data collected from 72 subjects with ASD and 75 neurotypical controls aged 3–24 years using the Rochester Health Status Survey IV (RHSS-IV). A structured individual interview was conducted to compare the health status of subjects in Macedonia.

Findings

A majority of people with ASD take vitamins, supplements and use recommended drug therapies compared to the neurotypical population and experience a larger number of side effects (p = 0.000). Compared to people with neurotypical development, children with ASD have a higher prevalence of oral ulcers (31.9% vs 17.3%; p = 0.039), changes in neurological health status – epilepsy (19.4% vs 2.7%; p = 0.001) and ADD/ADHD (only persons with ASD-19.4%; p = 0.000); respiratory diseases – angina (30.5% vs 8%; p = 0.000), rhinitis and/or sinusitis (40.3% vs 17.3%; p = 0.02); changes in the gastrointestinal system – constipation (31.9% vs 10.6%; p = 0.02), intestinal inflammation (19.4% vs 8%; p = 0.043), permeable intestines (only persons with ASD – 13.9%; p = 0.000) and the presence of the fungus Candida albicans (19.4% vs 4%; p = 0.043); psychiatric disorders – sleep problems (only in people with ASD – 18%; p = 0.000) and tics (6.9% vs 2.6%; p = 0.25) and skin diseases – eczema/allergic skin rash (36.1% vs 18.7%; p = 0.02).

Originality/value

Many children with ASD have health problems. These findings support and complement the professional literature on their mutual causality.

Ambulatory EEG Usefulness in Epilepsy Management

SUMMARY

Long-term video-EEG monitoring has been the gold standard for diagnosis of epileptic and nonepileptic events. Medication changes, safety, and a lack of recording EEG in one's habitual environment may interfere with diagnostic representation and subsequently affect management. Some spells defy standard EEG because of ultradian and circadian times of occurrence, manifest nocturnal expression of epileptiform activity, and require classification for clarifying diagnostic input to identify optimal treatment. Some patients may be unaware of seizures, have frequent events, or subclinical seizures that require quantification before optimal management. The influence on antiseizure drug management and clinical drug research can be enlightened by long-term outpatient ambulatory EEG monitoring. With recent governmental shifts to focus on mobile health, ambulatory EEG monitoring has grown beyond diagnostic capabilities to target the dynamic effects of medical and nonmedical treatment for patients with epilepsy in their natural environment. Furthermore, newer applications in ambulatory monitoring include additional physiologic parameters (e.g., sleep, detection of myogenic signals, etc.) and extend treatment relevance to patients beyond seizure reduction alone addressing comorbid conditions. It is with this focus in mind that we direct our discussion on the present and future aspects of using ambulatory EEG monitoring in the treatment of patients with epilepsy.

Sleep disruption in children and adolescents with epilepsy: A systematic review and meta-analysis

This systematic review and meta-analysis aims to assess and quantify putative differences in sleep architecture, sleep efficiency, sleep timing and broadly-defined sleep difficulties between children with and without epilepsy. Databases were searched systematically, and studies identified in PubMed, EMBASE, PsychINFO and Medline. The meta-analysis included 19 studies comparing a total of 901 children with epilepsy to 1470 healthy children. Relative to healthy children, children with epilepsy experienced reduced sleep time, sleeping on average 34 mins less across self-report, actigraphy, 24-h video-EEG and polysomnography measures. They had more sleep difficulties specifically in the domains of night waking, parasomnias and sleep disordered breathing. The analysis also revealed a significantly increased percentage of N2 sleep and decreased sleep efficiency in children with epilepsy compared to healthy children. These results illustrate that children with epilepsy are vulnerable to more sleep difficulties compared to healthy children. This suggests that screening for sleep difficulties should be an integral part in a diagnosis of epilepsy to ensure that clinically relevant sleep difficulties are identified and treated. Such an approach may ultimately aid in the development of treatment strategies which can contribute to improvements in both developmental and diagnostic outcomes for children with epilepsy.

Practical Approaches and Knowledge Gaps in the Care for Children With Leukodystrophies

Leukodystrophies are a group of neurodegenerative genetic disorders that affect approximately 1 in 7500 individuals. Despite therapeutic progress in individual leukodystrophies, guidelines in neurologic care are sparse and consensus among physicians and caregivers remains a challenge. At patient advocacy meetings hosted by Hunter's Hope from 2016-2018, multidisciplinary experts and caregivers met to conduct a literature review, identify knowledge gaps and summarize best practices regarding neurologic care. Stages of severity in leukodystrophies guided recommendations to address different levels of need based on a newly defined system of disease severity. Four core neurologic domains prioritized by families were identified and became the focus of this guideline: sleep, pain, seizures/epilepsy, and language/cognition. Based on clinical severity, the following categories were used: presymptomatic, early symptomatic, intermediate symptomatic, and advanced symptomatic. Across the leukodystrophies, neurologic care should be tailored to stages of severity while accounting for unique aspects of every disease and multiple knowledge gaps present. Standardized tools and surveys can help guide treatment but should not overburden families.

The value of rapid eye movement sleep in the localization of epileptogenic foci for patients with focal epilepsy

PURPOSE

Our aim was to investigate the value of rapid eye movement (REM) during prolonged scalp video-electroencephalography (VEEG) in the localization of epileptogenic foci for patients with focal epilepsy.

METHOD

We retrospectively studied a total of 59 patients with focal epilepsy and 31 of 59 received surgery. We assessed localization of interictal epileptiform discharges (IEDs) during REM, non-rapid eye movement sleep (NREM) and wakefulness to compare with the localization of ictal EEG, clinical semiology, magnetic resonance imaging (MRI) and positron emission tomography (PET) and stereo-electroencephalogram (SEEG). We graded postoperative follow-up outcome according to Engel criteria to further verify the accuracy of localization of epileptogenic foci in REM-IEDs. NREM-IEDs and Wakefulness-IEDs. Stepwise multiple logistic regression was carried out to assess for independent association of good prognosis with REM accurate localization, temporal lobe epilepsy and MRI accurate localization.

RESULTS

Clinical semiology was concordant to REM-IEDs in 40 patients (72.7 %), NREM-IEDs in 27 (49.1 %), and Wakefulness-IEDs in 25 (45.5 %). MRI lesion was concordant with REM-IEDs in 35 patients (81.4 %), Wakefulness-IEDs in 26 (60.5 %), and NREM-IEDs in 25 (58.1 %). PET localization was concordant with REM-IEDs in 20 patients (76.9 %), Wakefulness-IEDs and NREM-IEDs in 11 (42.3 %). SEEG localization was concordant with REM-IEDs in 15 patients (65.2 %), Wakefulness-IEDs in 10 (43.5 %), and NREM-IEDs in 8 (34.8 %). Thirty-one patients received surgery, and 30 (96.8 %) of them achieved good seizure control (Engel I-III). The surgical site was concordant with REM-IEDs in 23 (74.2 %), Wakefulness-IEDs and NREM-IEDs in 14 (45.2 %). In addition, the accuracy of REM-IEDs localization in temporal epilepsy (90 %) was higher than that extra-temporal epilepsy (45.5 %). REM accurate localization of epileptogenic foci was an independent factor contributing to good prognosis (P = 0.025, OR = 12.368).

CONCLUSIONS

Compared with NREM-IEDs and Wakefulness-IEDs, REM-IEDs had most value for localization of epileptogenic foci in patients with focal epilepsy. REM-IEDs- accurate localization of epileptogenic foci was an independent factor contributing to good prognosis for postsurgical patients with focal epilepsy.

Pediatric Sleep Disorders

PURPOSE OF REVIEW

This article provides an overview of the clinical features, diagnosis, and treatment of insomnia, restless legs syndrome, periodic limb movements of sleep, parasomnias, narcolepsy, and sleep-related breathing disorders among children and adolescents.

RECENT FINDINGS

Pediatric presentations of sleep disorders differ from adult presentations, making diagnosis challenging. Specific clinical syndromes, such as cataplexy in children with narcolepsy type 1, can have an altogether different presentation compared to adult-onset symptoms, contributing to diagnostic delays and potential misdiagnoses. More broadly, research shows strong associations between sleep and daytime cognition, mood, and behavior among children with and without neurologic conditions and thus suggests a need to identify and treat sleep problems to optimize daytime functioning.

SUMMARY

Addressing sleep problems in children with neurologic conditions and neurodevelopmental disorders improves quality of life for patients and their families and, in many cases, reduces neurologic disease burden.

The Mutual Interaction Between Sleep and Epilepsy on the Neurobiological Basis and Therapy

BACKGROUND

Sleep and epilepsy are mutually related in a complex, bidirectional manner. However, our understanding of this relationship remains unclear.

RESULTS

The literatures of the neurobiological basis of the interactions between sleep and epilepsy indicate that non rapid eye movement sleep and idiopathic generalized epilepsy share the same thalamocortical networks. Most of neurotransmitters and neuromodulators such as adenosine, melatonin, prostaglandin D2, serotonin, and histamine are found to regulate the sleep-wake behavior and also considered to have antiepilepsy effects; antiepileptic drugs, in turn, also have effects on sleep. Furthermore, many drugs that regulate the sleep-wake cycle can also serve as potential antiseizure agents. The nonpharmacological management of epilepsy including ketogenic diet, epilepsy surgery, neurostimulation can also influence sleep.

CONCLUSION

In this paper, we address the issues involved in these phenomena and also discuss the various therapies used to modify them.

[Role of video electroencephalogram in diagnosis and localization of epilepsy in children]

OBJECTIVE

To study the role of video electroencephalogram (VEEG) versus regular electroencephalogram (REEG) in the diagnosis of epilepsy and localization of origin of epileptic discharge in children through a comparative analysis.

METHODS

A retrospective analysis was performed for the clinical data of 223 children with clinical paroxysmal symptoms in the past and suspected epilepsy. VEEG and REEG were compared from the aspects of monitoring of clinical seizures, interictal epileptiform discharge (IED), localization of the origin of IED, and identification of non-epileptic seizures, and the detection rate of IED during awakening and sleep stages was also compared.

RESULTS

Compared with REEG, VEEG had significantly higher detection rates of IED and synchronous clinical seizures in children with epileptiform discharge (P<0.01). Of all children, 86 were diagnosed with epilepsy, 78 were diagnosed with epilepsy syndrome, 31 were diagnosed with non-epileptic seizures, and 81 had a definite location of the origin of epileptic discharge according to the VEEG. The detection rate of IED in the sleep stage was higher than that in the awakening stage (46% vs 13.2%; P<0.01), and IED was mainly detected in the NREM I-II stages according to the VEEG.

CONCLUSIONS

VEEG has a significantly better performance than REEG in the diagnosis and localization of epilepsy in children and has a high value in clinical practice.