Characterization of seizures and EEG findings in creatine transporter deficiency due to SLC6A8 mutation.

Seizures occur in up to 59% of boys with creatine transporter deficiency (CTD). While seizure phenotypes have been previously described, electroencephalogram (EEG) findings have only been reported in several case reports. In this prospective observational study, we report seizure characteristics and EEG findings in combination with neurobehavioral and SLC6A8 pathogenic variants in twenty males with CTD. Eighteen study participants (SP) underwent video-EEG, and seven had follow-up EEG recordings. Seizures typically occurred by age of 2 years. Thirteen (65%) had non-febrile seizures, requiring anti-seizure medications in nine. Four had febrile seizures. Seizures were bilateral tonic-clonic in 7 SP and focal impaired awareness in 5 SP; often responding to 1 to 2 antiseizure medications. EEG showed slowing in 5 SP, beta activity in 6 SP, and focal/multifocal, and/or generalized epileptiform activity in 9 SP. Follow-up EEGs in 7 SP showed emergence of epileptiform activity in 1 SP, and increased activity in 2 SP. In conclusion, seizures were frequent in our cohort but tended to respond to antiseizure medications. Longitudinal follow up provided further insight into emergence of seizures and EEG abnormalities soliciting future studies with long term follow up. Biomarkers of epileptogenicity in CTD are needed to predict seizures in this population.

Work, Parenting, and Well-being: An International Survey of Neurologists During the COVID-19 Pandemic.

Background and Objectives: COVID-19 reframed the relationship between work and home and, in general, made both more difficult-especially for parents. We hypothesized that, among neurologists, the effects of the pandemic on productivity and on well-being would be greater on those with children than on those without children and that the effects would be greater on women with children than on men with children. Methods: We conducted an international electronic survey launched by the Practice Current section of the American Academy of Neurology. The survey included questions on demographics (self-identified gender, number of children and elderly dependents, childcare support, and country and state when applicable), workflow changes because of COVID-19, impacted domains, and productivity and well-being using the Likert scale. Counts are presented as descriptive statistics. Statistical analysis was performed using Mann-Whitney U and Kruskal-Wallis tests. Results: We collected 243 fully completed surveys from providers in all continents with high representation of the United States (76%), providers who identified as women (71.6%), and neurologists with children (91%) among respondents. A majority worked remotely (28% fully, 43% mix). Neurologists reported decreased academic productivity (72%), work benefits (65%), and time for writing (48%). These findings were more prominent in respondents with children and among women practicing outside of the United States. Increased pressure from productivity expectations and lack of time for family were reported by 47% and 41% of respondents, respectively. Discussion: The disruption from the COVID-19 pandemic affected academic productivity and decreased the well-being of neurologists in general and of neurologists with children more drastically. This could potentially hinder the promotion and retention of junior neurologists who were juggling life and work during the pandemic outbreak and its recurrent surges.

Intractable hiccups after VNS implantation: a case report.

BACKGROUND: Hiccups (medically termed, "singultus"), when intractable, can cause significant medical consequences such as aspiration, malnutrition, and depression, leading to poor quality of life. Several case reports have shown that vagus nerve stimulator (VNS) implantation can help treat central idiopathic intractable hiccups. However, we present a contrary case of a patient who developed intractable singultus following VNS placement for medically refractory epilepsy. CASE PRESENTATION: We report a 71-year-old male patient with drug-resistant epilepsy who underwent VNS implantation and developed intractable hiccups shortly thereafter. The hiccups were severe and persistent, such that the patient developed a Mallory-Weiss tear, which required intensive care, invasive intubation and mechanical ventilation, and a prolonged rehabilitation course. Despite multiple therapies including phrenic nerve block and Nissen fundoplication, the patient's hiccups persisted and only stopped once the VNS was permanently deactivated. CONCLUSIONS: Little is known about the incidence of hiccups after VNS implantation. We present one case of hiccups as a direct consequence of VNS implantation. The clinical impact of this report is significant given the relative unfamiliarity of hiccups as an adverse effect of VNS implantation. Neurologists and epileptologists, who present VNS implantation as a surgical option for seizure control to their patients, should be aware of the possibility of singultus development and its significant physical and emotional ramifications.

Lateralization of interictal temporal lobe hypoperfusion in lesional and non-lesional temporal lobe epilepsy using arterial spin labeling MRI.

PURPOSE: Non-invasive imaging studies play a critical role in the presurgical evaluation of patients with drug-resistant temporal lobe epilepsy (TLE), particularly in helping to lateralize the seizure focus. Arterial Spin Labeling (ASL) MRI has been widely used to non-invasively study cerebral blood flow (CBF), with somewhat variable interictal alterations reported in TLE. Here, we compare temporal lobe subregional interictal perfusion and symmetry in lesional (MRI+) and non-lesional (MRI-) TLE compared to healthy volunteers (HVs). METHODS: Twenty TLE patients (9 MRI+, 11 MRI-) and 14 HVs under went 3 T Pseudo-Continuous ASL MRI through an epilepsy imaging research protocol at the NIH Clinical Center. We compared normalized CBF and absolute asymmetry indices in multiple temporal lobe subregions. RESULTS: Compared to HVs, both MRI+ and MRI- TLE groups demonstrated significant ipsilateral mesial and lateral temporal hypoperfusion, specifically in the hippocampal and anterior temporal neocortical subregions, with additional hypoperfusion in the ipsilateral parahippocampal gyrus in the MRI+ and contralateral hippocampus in the MRI- TLE groups. Contralateral to the seizure focus, there was significant relative hypoperfusion in multiple subregions in the MRI- compared to the MRI+ TLE groups. The MRI+ group therefore had significantly greater asymmetry across multiple temporal subregions compared to the MRI- TLE and HV groups. No significant differences in asymmetry were found between the MRI- TLE and HV groups. CONCLUSION: We found a similar extent of interictal ipsilateral temporal hypoperfusion in MRI+ and MRI- TLE. However, significantly increased asymmetries were found only in the MRI+ group due to differences in perfusion contralateral to the seizure focus between the patient groups. The lack of asymmetry in the MRI- group may negatively impact the utility of interictal ASL for seizure focus lateralization in this patient population.

A machine learning eye movement detection algorithm using electrooculography.

STUDY OBJECTIVES: Eye movement quantification in polysomnograms (PSG) is difficult and resource intensive. Automated eye movement detection would enable further study of eye movement patterns in normal and abnormal sleep, which could be clinically diagnostic of neurologic disorders, or used to monitor potential treatments. We trained a long short-term memory (LSTM) algorithm that can identify eye movement occurrence with high sensitivity and specificity. METHODS: We conducted a retrospective, single-center study using one-hour PSG samples from 47 patients 18-90 years of age. Team members manually identified and trained an LSTM algorithm to detect eye movement presence, direction, and speed. We performed a 5-fold cross validation and implemented a "fuzzy" evaluation method to account for misclassification in the preceding and subsequent 1-second of gold standard manually labeled eye movements. We assessed G-means, discrimination, sensitivity, and specificity. RESULTS: Overall, eye movements occurred in 9.4% of the analyzed EOG recording time from 47 patients. Eye movements were present 3.2% of N2 (lighter stages of sleep) time, 2.9% of N3 (deep sleep), and 19.8% of REM sleep. Our LSTM model had average sensitivity of 0.88 and specificity of 0.89 in 5-fold cross validation, which improved to 0.93 and 0.92 respectively using the fuzzy evaluation scheme. CONCLUSION: An automated algorithm can detect eye movements from EOG with excellent sensitivity and specificity. Noninvasive, automated eye movement detection has several potential clinical implications in improving sleep study stage classification and establishing normal eye movement distributions in healthy and unhealthy sleep, and in patients with and without brain injury.

Evaluation and Management of First-Time Seizure in Adults.

First seizures are often perceived as devastating events by patients and their families due to the fear of having a life-long disease. One in 10 people experiences one or more seizures during their lifetime, while 1 in 26 people develops epilepsy. Acute symptomatic seizures are often related to a provoking factor or an acute brain insult and typically do not recur. Careful history and clinical examination should guide clinicians' management plans. Electroencephalography and brain imaging, preferably with epilepsy-specific magnetic resonance imaging, may help characterize both etiology and risk of seizure recurrence. Antiepileptic drugs should be initiated in patients with newly diagnosed epilepsy. In patients without an epilepsy diagnosis, the decision to prescribe drugs depends on individual risk factors for seizure recurrence and possible complications from seizures, which should be discussed with the patient. Counseling about driving and lifestyle modifications should be provided early, often at the first seizure encounter.

Diagnosis and Management of Status Epilepticus.

Seizures are among the most common neurological presentations to the emergency room. They present on a spectrum of severity from isolated new-onset seizures to acute repetitive seizures and, in severe cases, status epilepticus. The latter is the most serious, as it is associated with high morbidity and mortality. Prompt recognition and treatment of both seizure activity and associated acute systemic complications are essential to improve the overall outcome of these patients. The purpose of this review is to provide the current viewpoint on the diagnostic evaluation and pharmacological management of patients presenting with status epilepticus, and the common associated systemic complications.

Electroencephalographic Abnormalities are Common in COVID-19 and are Associated with Outcomes.

OBJECTIVE: The aim was to determine the prevalence and risk factors for electrographic seizures and other electroencephalographic (EEG) patterns in patients with Coronavirus disease 2019 (COVID-19) undergoing clinically indicated continuous electroencephalogram (cEEG) monitoring and to assess whether EEG findings are associated with outcomes. METHODS: We identified 197 patients with COVID-19 referred for cEEG at 9 participating centers. Medical records and EEG reports were reviewed retrospectively to determine the incidence of and clinical risk factors for seizures and other epileptiform patterns. Multivariate Cox proportional hazards analysis assessed the relationship between EEG patterns and clinical outcomes. RESULTS: Electrographic seizures were detected in 19 (9.6%) patients, including nonconvulsive status epilepticus (NCSE) in 11 (5.6%). Epileptiform abnormalities (either ictal or interictal) were present in 96 (48.7%). Preceding clinical seizures during hospitalization were associated with both electrographic seizures (36.4% in those with vs 8.1% in those without prior clinical seizures, odds ratio [OR] 6.51, p = 0.01) and NCSE (27.3% vs 4.3%, OR 8.34, p = 0.01). A pre-existing intracranial lesion on neuroimaging was associated with NCSE (14.3% vs 3.7%; OR 4.33, p = 0.02). In multivariate analysis of outcomes, electrographic seizures were an independent predictor of in-hospital mortality (hazard ratio [HR] 4.07 [1.44-11.51], p < 0.01). In competing risks analysis, hospital length of stay increased in the presence of NCSE (30 day proportion discharged with vs without NCSE: HR 0.21 [0.03-0.33] vs 0.43 [0.36-0.49]). INTERPRETATION: This multicenter retrospective cohort study demonstrates that seizures and other epileptiform abnormalities are common in patients with COVID-19 undergoing clinically indicated cEEG and are associated with adverse clinical outcomes. ANN NEUROL 2021;89:872-883.

Seizure phenotype in CLN3 disease and its relation to other neurologic outcome measures.

CLN3 disease is a pediatric neurodegenerative condition wherein seizures are common. The most common disease-causing variant is an ~1-kb deletion in CLN3. We investigated seizure phenotype in relation to genotype and to adaptive behavior, MR spectroscopy and CSF biochemical markers in a CLN3 cohort. We performed seizure phenotyping using clinical history, EEG, and the Unified Batten Disease Rating Scale (UBDRS) seizure score. We assessed correlations of seizure severity with disease severity (UBDRS capability), adaptive behavior composite score (ABC; Vineland-3), glutamate+glutamine+GABA and N-acetylaspartate+N-acetylaspartyl glutamate (MR spectroscopy), and CSF neurofilament light chain (NEFL) levels. In 20 participants, median age was 10.7 years (IQR = 7.8). Eighteen completed baseline EEG; 12 had a 1-year follow-up. Seizures were reported in 14 (8 1-kb deletion homozygotes), with median age at onset of 10.0 (IQR = 6.8). Epileptiform discharges were noted in 15 (9 homozygotes). Bilateral tonic clonic (n = 11) and nonmotor seizures (n = 7) were most common. UBDRS seizure score correlated with age (rp = 0.50; [0.08,0.77]; P = .02), UBDRS capability (rp = -0.57; [-0.81,-0.17]; P = .009) and ABC (rp = -0.66; [-0.85,-0.31]; P = .001) scores, glutamate+glutamine+GABA (rp = -0.54; [-0.80,-0.11]; P = .02) and N-acetylaspartate+N-acetylaspartyl glutamate (rp = -0.54; [-0.80,-0.11]; P = .02), and CSF NEFL (rp = 0.65; [0.29,0.85]; P = .002) levels. After controlling for age, correlations with ABC and CSF NEFL remained significant. In our CLN3 cohort, seizures and epileptiform discharges were frequent and often started by age 10 years without significant difference between genotypes. ABC and CSF NEFL correlate with UBDRS seizure score, reflecting the role of seizures in the neurodegenerative process. Longitudinal evaluations in a larger cohort are needed to confirm these findings.

Seizure as the presenting symptom of COVID-19: A retrospective case series.

BACKGROUND: Coronavirus Disease 2019 (COVID-19) has rapidly become a global pandemic, with over 1.8 million confirmed cases worldwide to date. Preliminary reports suggest that the disease may present in diverse ways, including with neurological symptoms, but few published reports in the literature describe seizures in patients with COVID-19. OBJECTIVE: The objective of the study was to characterize the risk factors, clinical features, and outcomes of seizures in patients with COVID-19. METHODS: This is a retrospective case series. Cases were identified through a review of admissions and consultations to the neurology and neurocritical care services between April 1, 2020 and May 15, 2020. SETTING: The study setting was in a tertiary care, safety-net hospital in Boston, MA. PARTICIPANTS: Patients presenting with seizures and COVID-19 during the study period were included in the study. RESULTS: Seven patients met inclusion criteria (5 females, 71%). Patients ranged in age from 37 to 88 years (median: 75 years). Three patients had a prior history of well-controlled epilepsy (43%), while 4 patients had new-onset seizures, including 2 patients with prior history of remote stroke. Three patients had no preceding symptoms of COVID-19 prior to presentation (57%), and in all cases, seizures were the symptom that prompted presentation to the emergency department, regardless of prior symptoms of COVID-19. CONCLUSIONS: Provoking factors for seizures in patients with COVID-19 may include metabolic factors, systemic illness, and possibly direct effects of the virus. In endemic areas with community spread of COVID-19, clinicians should be vigilant for the infection in patients who present with seizures, which may precede respiratory symptoms or prompt presentation to medical care. Early testing, isolation, and contact tracking of these patients can prevent further transmission of the virus.

Nocturnal seizures are associated with more severe hypoxemia and increased risk of postictal generalized EEG suppression.

Patients with epilepsy have 20-fold risk of sudden death when compared to the general population. Uncontrolled seizures is the most consistent risk factor, and death often occurs at night or in relation to sleep. We examined seizure-related respiratory disturbances in sleep versus wakefulness, focusing on periictal oxygen saturation. Respiratory measures were examined in 48 recorded seizures (sleep, n = 23, wake, n = 25) from 20 adult patients with epilepsy. Seizures from sleep were associated with lower saturation, as compared to seizures from wakefulness, both during ictal (sleep median = 90.8, wake median = 95.5; p < 0.01) and postictal periods (sleep median = 94.3, wake median = 96.9; p = 0.05). Compared to wake-related seizures, seizures from sleep were also associated with a larger desaturation drop (sleep median = -4.2, wake median = -1.2; p = 0.01). Postictal generalized electroencephalography (EEG) suppression (PGES) occurred more frequently after seizures from sleep (39%), as compared to wake-related seizures (8%, p = 0.01). Our findings suggest that nocturnal seizures may entail a higher sudden unexpected death in epilepsy (SUDEP) severity burden, as they are associated with more severe and longer hypoxemia events, and more frequently followed by PGES, both factors implicated in sudden death.

Advantages of respiratory monitoring during video-EEG evaluation to differentiate epileptic seizures from other events.

Differentiating between epileptic seizures (ES) and seizure-like nonepileptic events (SLNE) is often difficult using descriptions of seizure semiology. Cardiopulmonary dysfunction is frequent in ES but has not been objectively examined in relation to SLNE. Our purpose was to compare cardiopulmonary dysfunction between ES and SLNE. We prospectively recorded cardiopulmonary function using pulse oximetry, EKG, and respiratory inductance plethysmography (RIP) in 52 ES and 22 SLNE. Comparison of cardiopulmonary complications between ES and SLNE was done using two-sample T-tests and logistic regression. Ictal bradypnea and preictal bradycardia were more frequent in ES than SLNE (p<0.05). Desaturation was found in 57% of ES and in 0% of SLNE (p<0.0001). Oxygen saturation nadir was significantly lower in ES vs. SLNE (p<0.0001). Ictal apnea was present in 31% ES and 9% SLNE (p=0.06). Preictal, ictal, and postictal tachycardia did not significantly differ between ES and SLNE (p>1.0). Cardiorespiratory dysfunction, specifically bradypnea, apnea, preictal bradycardia, and oxygen desaturation, is more frequently seen in ES than in SLNE. Tachycardia was not discriminant between ES and SLNE.

Comparison of cardiorespiratory and EEG abnormalities with seizures in adults and children.

Cardiopulmonary dysfunction and postictal generalized EEG suppression (PGES) are proposed as possible risk factors for the occurrence of SUDEP. The evolution of cardiorespiratory abnormalities with seizures has not been systematically studied for any age-related findings. Additionally, not many studies have looked into the possible effect of age-related brain maturation on PGES. The purpose of this study was to compare these SUDEP risk factors in adults versus children. We prospectively recorded cardiopulmonary abnormalities during seizures using pulse oximetry, EKG, and respiratory inductance plethysmography. Linear and logistic regression models adjusting for multiple seizures in a single patient were used to compare the cardiorespiratory and EEG findings between adults and children. We recorded 101 seizures in 26 children and 55 seizures in 22 adults. Ictal central apnea and bradycardia occurred more often in children than in adults (p=0.02 and p=0.008, respectively), while ictal tachycardia occurred more often in adults (p=0.001) than in children. Postictal generalized EEG suppression of longer duration occurred more often in adults (p=0.003) than in children. Minimum O2 saturation and seizure duration/generalization/lateralization did not significantly differ between adults and children (p>0.1). Children had more frontal lobe seizures, and adults had more temporal lobe seizures recorded (p=0.01). There may be an age-related effect on cardiorespiratory and EEG abnormalities associated with seizures, with higher rates of apnea and bradycardia in children and a much higher prevalence of PGES of longer duration in adults. This may indicate why, despite lower rates of cardiopulmonary dysfunction, adults die more frequently from SUDEP than children.