Genetic Generalized Epilepsy Research Articles

Network connectivity in primary generalized tonic-clonic seizures

ObjectiveTo determine EEG spatiospectral activation and connectivity in the generalized tonic-clonic seizure (GTCS) semiological subtypes. Methods39 patients with genetic generalized epilepsy (GGE) who had GTCS (n = 58) during video-EEG monitoring were identified in the Vanderbilt Epilepsy database. GTCSs were classified as absence tonic-clonic, myoclonic tonic-clonic, or tonic-clonic. Patient characteristics and semiological features were compared. Spectral power and node degree, a network measure of connectivity, were calculated at two seizure epochs, electrographic and tonic-start. ResultsDifferent GTCS subtypes occurred within individual patients. At electrographic-onset, all subtypes activated midline frontal cortex at delta/theta and beta frequencies but differed in network connectivity. In all subtypes, GTCS evolution from electrographic to tonic-start associated with preserved beta frequency spectral power, but reduced connectivity and delta/theta power. ConclusionsOur findings suggest that at GTCS onset, the subtypes activate similar cortical regions and their different initial semiologies relate to their distinct onset long-range connectivity. Upon transition to the tonic-start epoch, the ictal activity is predominantly conveyed by β frequency activity and connectivity. SignificanceFuture neurostimulation therapies for medically intractable GTCSs may target the same brain regions for all GTCS subtypes and may be most effective prior to the tonic-start epoch.

Generalized Fast Discharges Along the Genetic Generalized Epilepsy Spectrum: Clinical and Prognostic Significance.

ObjectiveTo investigate the electroclinical characteristics and the prognostic impact of generalized fast discharges in a large cohort of genetic generalized epilepsy (GGE) patients studied with 24-h prolonged ambulatory electroencephalography (paEEG).MethodsThis retrospective multicenter cohort study included 202 GGE patients. The occurrence of generalized paroxysmal fast activity (GPFA) and generalized polyspike train (GPT) was reviewed. GGE patients were classified as having idiopathic generalized epilepsy (IGE) or another GGE syndrome (namely perioral myoclonia with absences, eyelid myoclonia with absences, epilepsy with myoclonic absences, generalized epilepsy with febrile seizures plus, or GGE without a specific epilepsy syndrome) according to recent classification proposals.ResultsGPFA/GPT was found in overall 25 (12.4%) patients, though it was significantly less frequent in IGE compared with other GGE syndromes (9.3 vs. 25%, p = 0.007). GPFA/GPT was found independently of seizure type experienced during history, the presence of mild intellectual disability/borderline intellectual functioning, or EEG features. At multivariable analysis, GPFA/GPT was significantly associated with drug resistance (p = 0.04) and with a higher number of antiseizure medications (ASMs) at the time of paEEG (p < 0.001) and at the last medical observation (p < 0.001). Similarly, GPFA/GPT, frequent/abundant generalized spike-wave discharges during sleep, and a higher number of seizure types during history were the only factors independently associated with a lower chance of achieving 2-year seizure remission at the last medical observation. Additionally, a greater number of GPFA/GPT discharges significantly discriminated between patients who achieved 2-year seizure remission at the last medical observation and those who did not (area under the curve = 0.77, 95% confidence interval 0.57–0.97, p = 0.02)ConclusionWe found that generalized fast discharges were more common than expected in GGE patients when considering the entire GGE spectrum. In addition, our study highlighted that GPFA/GPT could be found along the entire GGE continuum, though their occurrence was more common in less benign GGE syndromes. Finally, we confirmed that GPFA/GPT was associated with difficult-to-treat GGE, as evidenced by the multivariable analysis and the higher ASM load during history.

Epilepsy with Eyelid myoclonias − A diagnosis concealed in other genetic generalized epilepsies with photoparoxysmal response

ObjectiveEpilepsy with eyelid myoclonias(EMA) is a genetic generalized epilepsy (GGE) characterized by eyelid myoclonia, eye-closure sensitivity and photosensitivity. Data on EMA patients who specifically present with photoparoxysmal response on EEG is lacking. EMA is an under-recognized syndrome which is frequently misclassified as another GGE. The main objective of our research is to describe the occurrence of EMA versus other GGEs among patients with photoparoxysmal response and evaluate their distinguishing features. MethodsWe retrospectively identified all patients who had photoparoxysmal response on EEGs performed at Cleveland clinic between 01/01/2012 and 12/31/2019. Initial epilepsy diagnosis and clinical data were collected. EEGs were reviewed for eyelid myoclonia and eye-closure-sensitivity which were used as main diagnostic clues for EMA. If clinical criteria was met, diagnosis was revised as EMA. ResultsOf 249 patients with photoparoxysmal response, 70(28.1%) met EMA criteria. Sixty-two (88.6%) were females. Mean age of onset of epilepsy was 7 years (+7.9) and 120(48.2%) had other GGEs. Fifty-four (77.1%) patients with EMA were initially classified as another epilepsy. Initial diagnosis included CAE or JME in 40(57.1%) patients with EMA so we compared EMA with these syndromes. Female preponderance, drug refractoriness, older age of onset and generalized myoclonia were more common in EMA than CAE. Earlier age of onset, absence seizures, and lack of generalized myoclonic jerks were more common EMA than JME. SignificanceOur study demonstrates that EMA is under-recognized among GGE patients with photoparoxysmal response. It highlights distinguishing clinical and electrographic features which separate EMA from other GGEs. It emphasizes the diverse treatments utilized and the need for therapeutic options for patients with refractory EMA.

Machine learning model to predict the efficacy of antiseizure medications in patients with familial genetic generalized epilepsy

ObjectiveThis study aimed to establish a machine learning model that can predict the efficacy of antiseizure medications (ASMs) in patients with familial genetic generalized epilepsy (GGE). MethodsWe prospectively followed up patients with familial GGE for at least 3 years between January 2007 and January 2017. We collected and analyzed the patients’ demographic characteristics, medical history, and related auxiliary examinations. The results of the epileptic seizures were divided into two categories: seizure-free and drug-resistant epilepsy. We selected and trained thirteen classification models, i.e., random forest classifier, logistic regression, gradient boosting classifier, light gradient boosting machine, ridge classifier, linear discriminant analysis, support vector machine-linear kernel, extra tree classifier, Ada boost classifier, naive Bayes classifier, decision tree classifier, K neighbors classifier, and quadratic discriminant analysis, to get the best performing classification model. ResultsA total of 854 patients with familial GGE were included in the study after excluding 89 who were lost to follow-up. Among them, 631 patients with familial GGE became seizure-free, and 223 developed drug-resistant epilepsy with a 74.89% remission rate. Among the 13 models, the random forest classifier model was the most effective with an accuracy of 91.23% and an F1 score of 84.21%. Among the 18 patient characteristics, the most effective indicators of the final treatment results were the number of seizure types experienced, response to the first drug, prior treatment duration and number of pre-treatment seizures. SignificanceThe random forest classifier model can be used to early predict the results of ASM treatment based on the clinical data of patients with familial GGE. This finding can help clinicians make timely adjustments to treatment strategies and improve patients’ prognosis.

Cerebral blood flow differences between high- vs low-frequency VNS therapy in the epileptic baboon

PurposeCerebral blood flow (CBF) tracks physiological effects of ictal or interictal epileptic discharges (IEDs) and neurostimulation. This study compared CBF changes between high-frequency (HF; 300 Hz) microburst, and standard, low-frequency (LF; 30 Hz) vagal nerve stimulation (VNS) Therapy in 2 baboons with genetic generalized epilepsy (GGE), including one with photosensitivity. MethodsThe baboons were selected based on video recordings and scalp EEG studies. They were both implanted with Sentiva™ 1000 devices capable of stimulating at standard and microburst frequencies. Nine H215O (10–20 mCi) positron emission tomographic (PET) scans were performed each session (two PET sessions acquired for each animal). The baboons were sedated with ketamine, paralyzed, and monitored with scalp EEG. CBF changes were compared between the two modes of stimulation and resting scans in the first study, while in the second, VNS Therapy trials were combined with intermittent light stimulation (ILS) at 25 Hz and compared to CBF changes induced by ILS alone. ResultsILS-associated IED rates were slightly reduced by HF- and LF-VNS Therapies in B1, while spontaneous IEDs were completely suppressed by HF-VNS Therapy in B2. Regional CBF changes were consistent between the two modes of therapy in each baboon, in particular with respect to the activation of the superior colliculus and cerebellum. Neither VNS mode suppressed the photoepileptic response in B1. In B2, IED suppression was associated with bilateral deactivations of the frontal and temporal cortices, cingulate and anterior striatum, as well as bilateral cerebellar activations. ConclusionsThis pilot study reveals similar activation/deactivation patterns between LF- and HF-VNS Therapies, but the most pronounced CBF differences between the two baboons and the two modes of stimulation may have been driven by the suppression of the epileptic network by HF-VNS Therapy in B2. Some therapeutic targets appear to be subcortical, including the putamen, superior colliculus, brainstem nuclei, as well as the cerebellum, all of which modulate corticothalamic networks, which is particularly reflected by CBF changes associated with HF-VNS Therapy. These findings need to be replicated in larger samples and correlated with long-term clinical outcomes.

Association of ultra-rare coding variants with genetic generalized epilepsy: A case-control whole exome sequencing study.

We aimed to identify genes associated with genetic generalized epilepsy (GGE) by combining large cohorts enriched with individuals with a positive family history. Secondarily, we set out to compare the association of genes independently with familial and sporadic GGE. We performed a case-control whole exome sequencing study in unrelated individuals of European descent diagnosed with GGE (previously recruited and sequenced through multiple international collaborations) and ancestry-matched controls. The association of ultra-rare variants (URVs; in 18834 protein-coding genes) with epilepsy was examined in 1928 individuals with GGE (vs. 8578 controls), then separately in 945 individuals with familial GGE (vs. 8626 controls), and finally in 1005 individuals with sporadic GGE (vs. 8621 controls). We additionally examined the association of URVs with familial and sporadic GGE in two gene sets important for inhibitory signaling (19genes encoding γ-aminobutyric acid type A [GABAA ] receptors, 113genes representing the GABAergic pathway). GABRG2 was associated with GGE (p=1.8×10-5 ), approaching study-wide significance in familial GGE (p=3.0×10-6 ), whereas no gene approached a significant association with sporadic GGE. Deleterious URVs in the most intolerant subgenic regions in genes encoding GABAA receptors were associated with familial GGE (odds ratio [OR]=3.9, 95% confidence interval [CI]=1.9-7.8, false discovery rate [FDR]-adjusted p=.0024), whereas their association with sporadic GGE had marginally lower odds (OR=3.1, 95% CI=1.3-6.7, FDR-adjusted p=.022). URVs in GABAergic pathway genes were associated with familial GGE (OR=1.8, 95% CI=1.3-2.5, FDR-adjusted p=.0024) but not with sporadic GGE (OR=1.3, 95% CI=.9-1.9, FDR-adjusted p=.19). URVs in GABRG2 are likely an important risk factor for familial GGE. The association of gene sets of GABAergic signaling with familial GGE is more prominent than with sporadic GGE.

Genetic generalized epilepsy and generalized onset seizures with focal evolution (GOFE).

"Generalized Onset with Focal Evolution" (GOFE) is an underrecognized seizure type defined by an evolution from generalized onset to focal activity during the same ictal event. We aimed to discuss electroclinical aspects of GOFE and to emphasize its link with Genetic Generalized Epilepsy (GGE). Patients were identified retrospectively over 10years, using the video-EEG data base from the Epilepsy Unit of Strasbourg University Hospital. GOFE was defined, as previously reported, from an EEG point of view with an evolution from generalized onset to focal activity during the same ictal event. Three male patients with GOFE were identified among 51 patients with recorded tonic-clonic seizures. Ages at onset of seizures were 13, 20 and 22years. Focal clinical features (motor asymmetric phenomenology) could be identified. EEG showed generalized interictal discharges with focal evolution of various localization. Four seizures were recorded characterized by 2-3s of generalized abnormalities followed by focal (parieto-occipital or frontal) discharges. There were initially uncontrolled seizures with lamotrigine, but all patients reported a good outcome with valproate monotherapy. We emphasize that GOFE presents many similarities with GGE. Recognition of the GOFE entity could bring a therapeutic interest avoiding misdiagnosis of focal epilepsy and consequently inappropriate use of narrow spectrum anti-seizure medicine.

Volume changes of medial temporal lobe structures in patients with genetic generalized and temporal lobe epilepsy in relation to neuropsychological functions.

In patients with epilepsy (PWE), cognitive and behavioural dysfunctions are associated with abnormalities in various brain areas. The aim of the study was to compare the volume of the hippocampus (VHIP), amygdala (VAMG) and parahippocampal gyrus (VPHG) with the results of neuropsychological assessment in patients with temporal lobe epilepsy (TLE) and genetic generalized epilepsy (GGE). 33 PWE were enrolled in the study (mean age 37.3), 10 with TLE and 23 GGE (12 with GGE with tonic-clonic seizure [GGE-GTCS], and 11 with juvenile myoclonic epilepsy). 19 healthy persons (mean age 32.2) were enrolled as the control group (CG). Measurements of VHIP, VAMG and VPHG were made with 3D completely balanced steady state (CBASS) and 3D T1-weighted sequence. All participants underwent a neuropsychological assessment using a multi-domain cognitive battery and emotional state questionnaires. The left hippocampus was significantly smaller in patients with left TLE (LTLE) and with GGE-GTCS, compared to the CG (p = 0.0069). In LTLE a significant enlargement of the right amygdala in comparison to the CG and other types of epilepsy were found (p = 0.0015). Among patients with LTLE and GGE-GTCS, impairment of attention and executive functions was statistically more common than in the CG. VHIP right (r = 0.25 p < 0.01) and VHIP left (r = 0.26 p < 0.04) were positively correlated with phonetic verbal fluency. PWE showed changes in the volume of selected medial temporal lobe (MTL) structures. Selective impairment of attention and executive functions was found. Some neuropsychological findings correlate with volume changes in MTL structures. Antiseizure medications therapy could have an impact on the severity of neuropsychological dysfunctions.

Resilience of adolescents and teenagers with self-limited and genetic-generalized epilepsy during the COVID-19 pandemic.

The study-objective was to determine the emotional impact of the COVID-19 pandemic on children with self-limited and genetic-generalized epilepsy. Patients completed the Children's Depression Inventory-2 (CDI-2) and Multidimensional Anxiety Scale for Children 2nd Edition (MASC-2) questionnaires before and during the pandemic. Via tele-visits, a pandemic-lifestyle survey and Obsession with COVID-19 Scale (OCS) was administered. Fifty subjects with a mean (SD) age of 14.44 (2.97) years and 4.85 (2.97) years of epilepsy were included. Overall, mood (62%), anxiety (61%), sleep (68%) and seizure frequency (88%) were unchanged/improved during the pandemic. There was no significant difference in pre-COVID-19 and during COVID-19 CDI-2 and MASC-2 total T-scores. In 24% with a worsening CDI-2 total T-score, associations included higher total OCS score (p=0.001), poor sleep (p=0.013) and pre-existing psychiatric history (p=0.0450). In 28% with a worsening MASC-2 total T-score, associations included less exercise during the pandemic (p=0.028) and lower maternal education history (p=0.022). On OCS, 6% were in the dysfunctional range. This cohort demonstrated emotional resilience during the COVID-19 pandemic. However, screening is important, as a subgroup experienced disruptive changes, possibly related to modifiable factors, such as sleep and exercise. To determine the impact of the COVID-19 pandemic on children with epilepsy (CWE), 50 CWE completed a pandemic-lifestyle survey. Questionnaires for anxiety and depression completed before and during the COVID-19 pandemic were also compared. Overall, there was no worsening of seizures, anxiety, or depression during the pandemic. During the pandemic, 24% had more depressive symptoms (associations: poor sleep and psychiatric history) and 28% had more anxiety (associations: less exercise and lower maternal education).This cohort showed emotional resilience during the COVID-19 pandemic. Regular screening is important, as some CWE experienced disruptive changes, related to modifiable-factors, such as sleep and exercise.

Accelerated long-term forgetting in adult patients with genetic generalized epilepsy.

Accelerated long-term forgetting (ALF) has been demonstrated among children but not adults with genetic generalized epilepsy (GGE). We investigated (1) how forgetting patterns of verbal and visuospatial material differ between patients with GGE and healthy controls (HCs) and (2) whether ALF is associated with ictal or interictal epileptic activity. Forty-two patients with GGE (39, 92.9% experiencing seizures) were compared to 57 HCs in word, logical story, and Rey-Osterrieth complex figure recall tasks by testing after intervals of 30min and 4 weeks. Ambulatory electroencephalography (EEG) was performed before testing to detect generalized epileptic activity, and patients were asked to document the number of seizures during the 4-week interval. A two-way repeated measures ANOVA indicated that individuals with GGE have different forgetting patterns in comparison to HCs in tasks of word (delay by group interaction F1.5, 142.5 =4.5, p=.02, =.04) and figure (F2, 194 =15.9, p<.001, = .14) but not story (F1.6 151.1 =.5, p=.58, =.005) recall. Last learning trial-adjusted scores of word recall were comparable between HCs and patients with epilepsy (PWEs) at 30min (p=.21) but not at 4weeks (p=.006). Individuals with GGE performed worse than HCs in figure recall at 30min and 4weeks (p<.001), with lower performance after the 4-week interval present only among seizure-positive and EEG-positive individuals (p<.001) during subgroup analysis. Performance on memory tests was unrelated to overall seizure frequency, the number of antiseizure drugs used, and epilepsy duration. Our study supports the presence of ALF in a task of word recall among adult patients with GGE. The pattern of forgetting visuospatial information suggests greater forgetting of material before the first delay and ongoing deficits among PWEs with epileptic activity. Future studies should confirm our findings and investigate the functional or pathological mechanisms of memory dysfunction in GGE.

Genetic generalized epilepsies in adults - challenging assumptions and dogmas.

Genetic generalized epilepsy (GGE) syndromes start during childhood or adolescence, and four commonly persist into adulthood, making up 15-20% of all cases of epilepsy in adults. These four GGE syndromes are childhood absence epilepsy, juvenile absence epilepsy, juvenile myoclonic epilepsy and epilepsy with generalized tonic-clonic seizures alone. However, in ~20% of patients with GGE, characteristics of more than one syndrome are present. Novel insights into the genetic aetiology, comorbidities and prognosis of the GGE syndromes have emerged and challenge traditional concepts about these conditions. Evidence has shown that the mode of inheritance in GGE is mostly polygenic. Neuropsychological and imaging studies indicate similar abnormalities in unaffected relatives of patients with GGE, supporting the concept that underlying alterations in bilateral frontothalamocortical networks are genetically determined. Contrary to popular belief, first-line anti-seizure medication often fails to provide seizure freedom in combination with good tolerability. Nevertheless, long-term follow-up studies have shown that with advancing age, many patients can discontinue their anti-seizure medication without seizure relapses. Several outcome predictors have been identified, but prognosis across the syndromes is more homogeneous than previously assumed. Overall, overlap in pathophysiology, seizure types, treatment responses and outcomes support the idea that GGEs are not separate nosological entities but represent a neurobiological continuum.

TMS-induced brain connectivity modulation in Genetic Generalized Epilepsy

ObjectiveIn epilepsy patients, Transcranial Magnetic Stimulation (TMS) may result in the induction and modulation of epileptiform discharges (EDs). We hereby investigate the modulatory effects of TMS on brain connectivity in Genetic Generalized Epilepsy (GGE) and explore their potential as a diagnostic biomarker in GGE. MethodsPatients with GGE (n=18) and healthy controls (n=11) were investigated with a paired-pulse TMS-EEG protocol. The brain network was studied at local and at global levels using Coherence as an EEG connectivity measure. Comparison of patients vs controls was performed in a time-resolved manner by analyzing comparatively pre- vs post-TMS brain networks. ResultsThere was statistically significant TMS-induced modulation of connectivity at specific frequency bands within groups and difference in TMS-induced modulation between the two groups. The most significant difference between patients and controls related to connectivity modulation in the γ band at 1–3 sec post-TMS (p=0.004). ConclusionsTMS modulates the healthy and epileptic brain connectivity in different ways. Our results indicate that TMS-EEG connectivity analysis can be a basis for a diagnostic biomarker of GGE. SignificanceThe analysis identifies specific time periods and frequency bands of interest of TMS-induced connectivity modulation and elucidates the effect of TMS on the healthy and epileptic brain connectivity.

A.6 Vagus Nerve Stimulation in patients with therapy resistant generalized epilepsy

Background: For patients with generalized epilepsy who do not respond to anti-seizure medications, the therapeutic options are limited. Vagus nerve stimulation (VNS) is a treatment mainly approved for therapy resistant focal epilepsy. There is limited information on the use of VNS on generalized epilepsies, including Lennox Gastaut Syndrome(LGS) and genetic generalized epilepsy(GGE). Methods: We identified patients with a diagnosis of Lennox-Gastaut Syndrome or Genetic Generalized Epilepsy, who underwent VNS implantation, between1997 and July 2018. Results: A total of 46 patients were included in this study with a history of therapy resistant generalized epilepsy. The mean age at implantation was 24 years(IQR= 17.8-31 years) and 50%(n=23) were female. The most common etiologies were GGE in 37%(n=17) and LGS in 63%(n=29). Median follow-up since VNS implantation was 63 months(IQR:31-112.8months). 41.7%(n=12) of the LGS group became responders, and 64.7%(n=11) in the GGE group. The best response in seizure reduction was seen in generalized tonic-clonic seizures. There was a reduction of seizure-related hospital admissions from 89.7%(N=26) pre-implantation, to 41.4%(N=12) post-implantation (p&lt;0.0001). The frequency of side effects due to the stimulation was similar in both groups(62.1% in LGS and 61.1% in GGE). Conclusions: VNS is an effective treatment in patients with therapy resistant generalized epilepsy, especially GGE.

Involvement of ADGRV1 Gene in Familial Forms of Genetic Generalized Epilepsy.

Background: Genetic generalized epilepsies (GGE) including childhood absence epilepsy (CAE), juvenile absence epilepsy (JAE), juvenile myoclonic epilepsy (JME), and GGE with tonic–clonic seizures alone (GGE-TCS), are common types of epilepsy mostly determined by a polygenic mode of inheritance. Recent studies showed that susceptibility genes for GGE are numerous, and their variants rare, challenging their identification. In this study, we aimed to assess GGE genetic etiology in a Sudanese population.Methods: We performed whole-exome sequencing (WES) on DNA of 40 patients from 20 Sudanese families with GGE searching for candidate susceptibility variants, which were prioritized by CADD software and functional features of the corresponding gene. We assessed their segregation in 138 individuals and performed genotype–phenotype correlations.Results: In a family including three sibs with GGE-TCS, we identified a rare missense variant in ADGRV1 encoding an adhesion G protein-coupled receptor V1, which was already involved in the autosomal recessive Usher type C syndrome. In addition, five other ADGRV1 rare missense variants were identified in four additional families and absent from 119 Sudanese controls. In one of these families, an ADGRV1 variant was found at a homozygous state, in a female more severely affected than her heterozygous brother, suggesting a gene dosage effect. In the five families, GGE phenotype was statistically associated with ADGRV1 variants (0R = 0.9 103).Conclusion: This study highly supports, for the first time, the involvement of ADGRV1 missense variants in familial GGE and that ADGRV1 is a susceptibility gene for CAE/JAE and GGE-TCS phenotypes.

Evaluation of optical coherence tomography findings in adolescents with genetic generalized epilepsy.

To evaluate retinal nerve fiber layer (RNFL) thickness, central macular thickness (CMT), and subfoveal choroid thickness (CT) by using optical coherence tomography (OCT) in adolescents with newly diagnosed epilepsy and patients who had been using Na valproate (VPA) for at least 1 year. We examined 60 patients with genetic generalized epilepsy (GGE) aged 8-17 years. Thirty patients with newly diagnosed GGE who were evaluated before the beginning of the therapy and another 30 patients who were chosen from among adolescents with epilepsy using VPA for at least 1 year were included in the study. Nasal quadrant RNFL thickness and CMT measurements were significantly lower in the monotherapy group compared with the newly diagnosed group (p = 0.044 and p = 0.032, respectively). CT measurements were not significantly different between the groups (p = 0.413). There was a negative correlation in regression analysis between the duration of drug use and RNFL thickness in all quadrants. According to our study, we observed thinning of the nasal RNFL and macular thickness in adolescents with epilepsy who were using Na valproate for at least 1 year and that as the duration of use increased, the thinning occurred in all RNFL quadrants. Further studies with larger series are needed to better understand the effects of both epilepsy and VPA on the eye.

Usefulness of 24-hour ambulatory EEG monitoring in the diagnosis of typical absences

Voluntary hyperventilation (VH) is believed to elicit successfully typical absences (TAs), especially in patients with genetic generalized epilepsies (GGE) and absences, including childhood and juvenile absence epilepsy (CAE and JAE) respectively. Failure in recording TAs may lead to diagnostic and therapeutic difficulties. This study evaluated the diagnostic yield of 24-h ambulatory EEG monitoring (EEG/DIN), compared with VH, in patients with suspected or definite TAs/GGE and possible influence of clinical factors on HV efficacy.

Investigation of Patients With Eye Closure Sensitive Epilepsy With Magnetic Resonance Spectroscopy.

Introduction and aim: A proportion of patients diagnosed with genetic generalized epilepsy (GGE) experience eye-closure sensitivity (ECS), the underlying pathogenesis of which is unknown. In this study, we compare magnetic resonance spectroscopy (MRS) findings of healthy volunteers with patients diagnosed with GGE, with and without ECS, to detect possible explanatory differences between groups. Materials and methods: A total of 33 patients diagnosed with GGE: 17 with ECS and 16 without, and 12 healthy volunteers are included. MRS measurements of N-acetyl-aspartate (NAA), choline (Cho), and creatine (Cr) were made of bilateral occipital lobes and thalamus, and values of patients with GGE were compared with those of normal controls, and within subgroups with different clinical variables, using appropriate statistical tests. Results: Left occipital NAA and NAA/Cr levels were found to be significantly higher in the ECS group than in the control group. In the ECS epilepsy group, a significant moderate positive correlation was noted between left thalamic Cr and duration of drug therapy (r = .539, P = .047) and left thalamic Cr and age at epilepsy onset (r = .564, P = .036). Additionally, left thalamic NAA and NAA/Cr levels were observed to be lower in GGE patients compared to healthy subjects, although not to a statistically significant degree. Conclusion:The differences in MRS-measurable metabolites in the left occipital lobe in those with ECS epilepsy suggest an association between the ECS mechanism and the left occipital lobe. Our results also support the multifocal thalamocortical pathway disorder in the pathophysiology of GGE based on the observation of cellular dysfunction in the thalamus.

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.

Antisaccades and memory-guided saccades in genetic generalized epilepsy and temporal lobe epilepsy

ObjectiveOculomotor tasks can be used to measure volitional control of behavior sensitive to frontal dysfunction. This study aimed to examine the saccadic eye movement in Genetic Generalized Epilepsy (GGE) which could correlate with the abnormality of the frontal lobe or the thalamo-frontal network. MethodsTwenty-one patients with GGE were compared with 22 patients with Temporal Lobe Epilepsy (TLE) and 39 healthy controls. Visual-guided saccades, Antisaccades, and Memory-guided saccades as oculomotor tasks were performed using a novel gaze-tracker designed for clinical practice use. ResultsPatients with epilepsy (either GEE or TLE) had similar latency, accuracy, and velocity in visual-guided saccades and memory-guided saccades. Patients with epilepsy had similar latencies and correct antisaccade number. However, healthy volunteers, matched by age, had faster responses and more accurate results than patients with epilepsy. ConclusionsOur investigations did not reveal differences between TLE and GGE patients’ groups in visually guided saccades, antisaccades, and memory-guided saccades, thus suggesting that the frontal cortical mechanisms responsible for them are not explicitly impaired in patients with GGE.

Reconsidering the role of selective sodium channel blockers in genetic generalized epilepsy.

Selective sodium channel blockers (SSCBs) have a limited use in genetic generalized epilepsy (GGE), due to their well-known risk of seizure worsening. Although their therapeutic potential in GGE has been suggested by recent evidence, electro-clinical data supporting their prescription are lacking. We aimed to investigate SSCB safety and effectiveness in a GGE cohort. Subjects who received SSCBs and had ≥5-year follow-up were enrolled. Lamotrigine was excluded from analysis due to its broader pharmacodynamic spectrum and its better-documented efficacy in GGE. Fifty-six patients (median follow-up 28.5years) were included. The most used SSCB was carbamazepine in 40subjects. At the last medical observation, only 9subjects were still receiving SSCBs. The occurrence of generalized polyspike-wave discharges (GPSWDs) predicted reduced SSCB retention in Cox multivariate analysis. A seizure reduction ≥50% occurred in 53.5% (30/56) of subjects when considering all seizure types; however, the proportion of responders increased to 67.9% when considering only generalized tonic-clonic seizures (GTCS). GPSWDs were significantly associated with a reduced response rate, whereas GGE with GTCS only syndrome with a better outcome. The switch from SSCBs to antiseizure medications licensed for GGE improved seizure control in 65% of patients. Seizure worsening was reported in 5/56 patients; juvenile myoclonic epilepsy and a family history of epilepsy were significantly associated with seizure aggravation. SSCBs appeared effective on GTCS, but epilepsy aggravation and unsatisfactory control of other seizure types were not uncommon. Our study contributes to identifying new clinical and EEG variables associated with SSCB effectiveness and safety which may help neurologists in patients' management.