Reliable detection of generalized convulsive seizures using an off-the-shelf digital watch: A multisite phase 2 study.

OBJECTIVE: The aim of this study was to develop a machine learning algorithm using an off-the-shelf digital watch, the Samsung watch (SM-R800), and evaluate its effectiveness for the detection of generalized convulsive seizures (GCS) in persons with epilepsy. METHODS: This multisite epilepsy monitoring unit (EMU) phase 2 study included 36 adult patients. Each patient wore a Samsung watch that contained accelerometer, gyroscope, and photoplethysmographic sensors. Sixty-eight time and frequency domain features were extracted from the sensor data and were used to train a random forest algorithm. A testing framework was developed that would better reflect the EMU setting, consisting of (1) leave-one-patient-out cross-validation (LOPO CV) on GCS patients, (2) false alarm rate (FAR) testing on nonseizure patients, and (3) "fixed-and-frozen" prospective testing on a prospective patient cohort. Balanced accuracy, precision, sensitivity, and FAR were used to quantify the performance of the algorithm. Seizure onsets and offsets were determined by using video-electroencephalographic (EEG) monitoring. Feature importance was calculated as the mean decrease in Gini impurity during the LOPO CV testing. RESULTS: LOPO CV results showed balanced accuracy of .93 (95% confidence interval [CI] = .8-.98), precision of .68 (95% CI = .46-.85), sensitivity of .87 (95% CI = .62-.96), and FAR of .21/24 h (interquartile range [IQR] = 0-.90). Testing the algorithm on patients without seizure resulted in an FAR of .28/24 h (IQR = 0-.61). During the "fixed-and-frozen" prospective testing, two patients had three GCS, which were detected by the algorithm, while generating an FAR of .25/24 h (IQR = 0-.89). Feature importance showed that heart rate-based features outperformed accelerometer/gyroscope-based features. SIGNIFICANCE: Commercially available wearable digital watches that reliably detect GCS, with minimum false alarm rates, may overcome usage adoption and other limitations of custom-built devices. Contingent on the outcomes of a prospective phase 3 study, such devices have the potential to provide non-EEG-based seizure surveillance and forecasting in the clinical setting.

Myoclonus as a Manifestation of Reflex Seizures.

SUMMARY: Myoclonus is a motor symptom commonly associated with reflex seizures in people with idiopathic generalized epilepsies. The most frequently observed triggers of myoclonus are related to visual stimuli, including flashing lights or patterns; nonetheless, myoclonus can also be activated by movement, speech or reading, calculations, and praxis. Reflex myoclonic seizures may be the hallmark of a reflex epilepsy, but it may lead to the diagnosis of generalized epilepsy syndromes. In the setting of idiopathic generalized epilepsies, reflex myoclonus can persist despite optimal medical therapies and may be a marker for active, even medically intractable, epilepsy. In this article, the clinical significance, diagnosis, and treatment of myoclonus, associated with visual stimulation, movement, and praxis, will be reviewed.

Whole Genome Sequence Data From Captive Baboons Implicate RBFOX1 in Epileptic Seizure Risk.

In this study, we investigate the genetic determinants that underlie epilepsy in a captive baboon pedigree and evaluate the potential suitability of this non-human primate model for understanding the genetic etiology of human epilepsy. Archived whole-genome sequence data were analyzed using both a candidate gene approach that targeted variants in baboon homologs of 19 genes (n = 20,881 SNPs) previously implicated in genetic generalized epilepsy (GGE) and a more agnostic approach that examined protein-altering mutations genome-wide as assessed by snpEff (n = 36,169). Measured genotype association tests for baboon cases of epileptic seizure were performed using SOLAR, as well as gene set enrichment analyses (GSEA) and protein-protein interaction (PPI) network construction of top association hits genome-wide (p < 0.01; n = 441 genes). The maximum likelihood estimate of heritability for epileptic seizure in the pedigreed baboon sample is 0.76 (SE = 0.77; p = 0.07). Among candidate genes for GGE, a significant association was detected for an intronic SNP in RBFOX1 (p = 5.92 × 10-6; adjusted p = 0.016). For protein-altering variants, no genome-wide significant results were observed for epilepsy status. However, GSEA revealed significant positive enrichment for genes involved in the extracellular matrix structure (ECM; FDR = 0.0072) and collagen formation (FDR = 0.017), which was reflected in a major PPI network cluster. This preliminary study highlights the potential role of RBFOX1 in the epileptic baboon, a protein involved in transcriptomic regulation of multiple epilepsy candidate genes in humans and itself previously implicated in human epilepsy, both focal and generalized. Moreover, protein-damaging variants from across the genome exhibit a pattern of association that links collagen-containing ECM to epilepsy risk. These findings suggest a shared genetic etiology between baboon and human forms of GGE and lay the foundation for follow-up research.

Semiology of spontaneous generalized tonic-clonic seizures in the epileptic baboon.

OBJECTIVE: The epileptic baboon provides an animal model for juvenile myoclonic epilepsy (JME), demonstrating spontaneous generalized tonic-clonic seizures (GTCS) in addition to generalized myoclonic, absence and multifocal seizures. While photoconvulsive responses have been described in this model, spontaneous GTCS have not been characterized. METHODS: In this study, we characterized 46 seizures in 7 epileptic baboons (5 females, 12 ± 3 years old) by video recording. While housed in single cages, the baboons were monitored for a median of 2 (range 1-10) weeks, with high-resolution, infrared-capable camera systems. Each GTCS was evaluated for evidence of preconvulsive ictal symptoms, focal convulsive behaviors, duration of the preconvulsive and convulsive periods, postictal immobility, and recovery of an upright posture. The circadian pattern of GTCS was also for each baboon. RESULTS: More than half of GTCS occurred in sleep, beginning from an upright position in all but one tethered baboon. Focal semiological findings were noted in 19 (41%) GTCS, and these included preconvulsive focal ictal motor behaviors as well as lateralized motor activity during the convulsions. The convulsive portion lasted 47 ± 10 seconds, whereas the entire seizure lasted 54 ± 21 seconds. Postictally, the baboons remained immobile for a median latency of 40 (range 14-347) seconds, recovering an upright posture after 173 (range 71-1980) seconds. GTCS demonstrated circadian patterns in all but one baboon, with 34 (74%) all seizures occurring between 1-9 am. SIGNIFICANCE: GTCS in the baboon revealed intersubject variability, but semiology remained stereotyped in a given baboon. Similar to GTCS in people with JME, focal symptoms were also observed in epileptic baboons. The postictal recovery period, characterized by postictal immobility and myoclonus as well as time to recumbency, also varied among baboons.

Changing characteristics of epilepsy interventional clinical trials over the last decade: Clinicaltrials.Gov registry.

INTRODUCTION: Epilepsy affects about 1% of the world's population (over 50 million). Of these, one-third have refractory or medication-resistant epilepsy. This group of people drives the development and testing of new interventions for epilepsy. To better address the needs of people with epilepsy, the characteristics of clinical trials, as well as the gaps in the population of interest, need to be evaluated. METHODS: We searched the www.ClinicalTrials.gov database using the keywords "seizure" or "epilepsy" between 9/1/2008-9/1/2018 and filtering for Interventional Clinical trials. The data were categorized by three equal time intervals (tertiles), and evaluated by type of intervention (behavioral, diet, device, drug, other), primary purpose (treatment, diagnosis, prevention, or basic science), gender, age, phase (Phase1 to Phase 4 trials), length and status of the study, enrollment/recruitment/randomization, location, blinding status, assignment group (single/parallel/crossover/factorial/sequential), and funding. We focused on drugs and devices and used a binary logistic regression model to analyze the role of time, length of study, funding, location, randomization, and age. RESULTS: We found 359 epilepsy clinical trials; of these, 245 (68.2%) clinical trials involved drugs, and 55 (15.3%) were device trials. Over the three tertiles, the percentage of device trials increased while medication trials decreased. Device:drug trial odds ratios increased six times by the third tertile. Also, the results showed that clinical trials for drugs and devices occurred more in adults than children. Industry funding decreased 20% over time. The US contribution to clinical research was stable, but device trials were more likely to occur outside of the US. CONCLUSION: Drugs constitute the substantial fields of interventional trials in epilepsy but decreased in proportion over the last decade, while the presence of the device trials steadily increased. Device trials focused on treatment and diagnosis of seizures and have been more invested in non-US countries.

Cardiac biomarkers associated with epilepsy in a captive baboon pedigree.

The epileptic baboon provides a natural model of idiopathic generalized epilepsy and sudden unexpected death in epilepsy (SUDEP). This retrospective, case-controlled study aims to evaluate cardiac biomarkers of epilepsy, specifically QT-interval prolongation and heart rate variability (HRV), in pedigreed, captive baboons undergoing scalp electroencephalography (EEG). We retrospectively identified 21 epileptic (nine females, mean age = 11.4 ± 5.4 years) and 19 asymptomatic control (12 females, mean age = 10.5 ± 6.3 years) baboons, who had undergone scalp EEG studies with an artifact-free, 10-beat electrocardiogram sample. All baboons were sedated with subanesthetic doses of ketamine prior to electrode placement. PR, QT, and RR intervals were measured, and Fridericia-corrected QT duration (QTcF) and root mean square of successive differences between RR intervals (RMSSD; representative of HRV) values were compared between the groups. The epilepsy group had significantly prolonged QT and QTcF intervals (P = .005) compared to controls. RMSSD values were nonsignificantly decreased in epileptic baboons compared to the control group. This study demonstrates cardiac repolarization anomalies and reduction of HRV in epileptic baboons, providing new cardiac biomarkers in pedigreed baboons and potential risk factors for SUDEP.

Critique of the 2017 epileptic seizure and epilepsy classifications.

This article critiques the International League Against Epilepsy (ILAE) 2015-2017 classifications of epilepsy, epileptic seizures, and status epilepticus. It points out the following shortcomings of the ILAE classifications: (1) they mix semiological terms with epileptogenic zone terminology; (2) simple and widely accepted terminology has been replaced by complex terminology containing less information; (3) seizure evolution cannot be described in any detail; (4) in the four-level epilepsy classification, level two (epilepsy category) overlaps almost 100% with diagnostic level one (seizure type); and (5) the design of different classifications with distinct frameworks for newborns, adults, and patients in status epilepticus is confusing. The authors stress the importance of validating the new ILAE classifications and feel that the decision of Epilepsia to accept only manuscripts that use the ILAE classifications is premature and regrettable.

Sudden Unexpected Death in Epilepsy: Incidence, Risk Factors, and Proposed Mechanisms.

Epilepsy is a common neurological disorder associated with increased morbidity and mortality, including premature death from different causes. Sudden unexpected death in epilepsy, or SUDEP, is one of the most common causes of death in people with epilepsy and originally brought to light by medical examiners. It accounts for 5% to 30% of all deaths in individuals with epilepsy and up to 50% in individuals with medically refractory epilepsy. It is commonly associated with a history of generalized tonic-clonic seizures and may be mitigated by other electroclinical risk factors, such as postictal electroencephalographic suppression, prone position, altered heart rate variability, conduction abnormalities, gender, or antiepileptic medications, to name a few. More recently, potential neuroimaging biomarkers have also been identified. Still, despite the increased mortality risk in people with epilepsy due to SUDEP, little is known about its underlying pathophysiology. The pathogenesis is likely to be multifactorial, resulting in neurogenic pulmonary edema or, in some cases, fatal cardiac arrhythmias. Medical examiners can provide an important role in our understanding of the magnitude of the problem and ongoing research into the underlying mechanisms. In this review, we discuss diagnostic criteria, incidence, risk factors, and current theories regarding the pathophysiology of SUDEP.

Resting-state functional connectivity changes due to acute and short-term valproic acid administration in the baboon model of GGE.

Resting-state functional connectivity (FC) is altered in baboons with genetic generalized epilepsy (GGE) compared to healthy controls (CTL). We compared FC changes between GGE and CTL groups after intravenous injection of valproic acid (VPA) and following one-week of orally administered VPA. Seven epileptic (2 females) and six CTL (3 females) baboons underwent resting-state fMRI (rs-fMRI) at 1) baseline, 2) after intravenous acute VPA administration (20 mg/kg), and 3) following seven-day oral, subacute VPA therapy (20-80 mg/kg/day). FC was evaluated using a data-driven approach, while regressing out the group-wise effects of age, gender and VPA levels. Sixteen networks were identified by independent component analysis (ICA). Each network mask was thresholded (z > 4.00; p < 0.001), and used to compare group-wise FC differences between baseline, intravenous and oral VPA treatment states between GGE and CTL groups. At baseline, FC was increased in most cortical networks of the GGE group but decreased in the thalamic network. After intravenous acute VPA, FC increased in the basal ganglia network and decreased in the parietal network of epileptic baboons to presumed nodes associated with the epileptic network. After oral VPA therapy, FC was decreased in GGE baboons only the orbitofrontal networks connections to the primary somatosensory cortices, reflecting a reversal from baseline comparisons. VPA therapy affects FC in the baboon model of GGE after a single intravenous dose-possibly by facilitating subcortical modulation of the epileptic network and suppressing seizure generation-and after short-term oral VPA treatment, reversing the abnormal baseline increases in FC in the orbitofrontal network. While there is a need to correlate these FC changes with simultaneous EEG recording and seizure outcomes, this study demonstrates the feasibility of evaluating rs-fMRI effects of antiepileptic medications even after short-term exposure.

Electromyography-based seizure detector: Preliminary results comparing a generalized tonic-clonic seizure detection algorithm to video-EEG recordings.

OBJECTIVE: Automatic detection of generalized tonic-clonic seizures (GTCS) will facilitate patient monitoring and early intervention to prevent comorbidities, recurrent seizures, or death. Brain Sentinel (San Antonio, Texas, USA) developed a seizure-detection algorithm evaluating surface electromyography (sEMG) signals during GTCS. This study aims to validate the seizure-detection algorithm using inpatient video-electroencephalography (EEG) monitoring. METHODS: sEMG was recorded unilaterally from the biceps/triceps muscles in 33 patients (17white/16 male) with a mean age of 40 (range 14-64) years who were admitted for video-EEG monitoring. Maximum voluntary biceps contraction was measured in each patient to set up the baseline physiologic muscle threshold. The raw EMG signal was recorded using conventional amplifiers, sampling at 1,024 Hz and filtered with a 60 Hz noise detection algorithm before it was processed with three band-pass filters at pass frequencies of 3-40, 130-240, and 300-400 Hz. A seizure-detection algorithm utilizing Hotelling's T-squared power analysis of compound muscle action potentials was used to identify GTCS and correlated with video-EEG recordings. RESULTS: In 1,399 h of continuous recording, there were 196 epileptic seizures (21 GTCS, 96 myoclonic, 28 tonic, 12 absence, and 42 focal seizures with or without loss of awareness) and 4 nonepileptic spells. During retrospective, offline evaluation of sEMG from the biceps alone, the algorithm detected 20 GTCS (95%) in 11 patients, averaging within 20 s of electroclinical onset of generalized tonic activity, as identified by video-EEG monitoring. Only one false-positive detection occurred during the postictal period following a GTCS, but false alarms were not triggered by other seizure types or spells. SIGNIFICANCE: Brain Sentinel's seizure detection algorithm demonstrated excellent sensitivity and specificity for identifying GTCS recorded in an epilepsy monitoring unit. Further studies are needed in larger patient groups, including children, especially in the outpatient setting.