Care and three-year outcomes of children with Benign Epilepsy with Centro-Temporal Spikes in England.

PURPOSE: Benign Epilepsy with Centro-Temporal Spikes (BECTS) is a pediatric epilepsy with typically good seizure control. Although BECTS may increase patients' risk of developing neurological comorbidities, their clinical care and short-term outcomes are poorly quantified. METHODS: We retrospectively assessed adherence to National Institute for Health and Care Excellence (NICE) guidelines relating to specialist referral, electroencephalogram (EEG) conduct and annual review in the care of patients with BECTS, and measured their seizure, neurodevelopmental and learning outcomes at three years post-diagnosis. RESULTS: Across ten centers in England, we identified 124 patients (74 male) diagnosed with BECTS between 2015 and 2017. Patients had a mean age at diagnosis of 8.0 (95% CI = 7.6-8.4) years. 24/95 (25%) patients were seen by a specialist within two weeks of presentation; 59/100 (59%) received an EEG within two weeks of request; and 59/114 (52%) were reviewed annually. At three years post-diagnosis, 32/114 (28%) experienced ongoing seizures; 26/114 (23%) had reported poor school progress; 15/114 (13%) were diagnosed with a neurodevelopmental disorder (six autism spectrum disorder, six attention-deficit/hyperactivity disorder); and 10/114 (8.8%) were diagnosed with a learning difficulty (three processing deficit, three dyslexia). Center-level random effects models estimated neurodevelopmental diagnoses in 9% (95% CI: 2-16%) of patients and learning difficulty diagnoses in 7% (95% CI: 2-12%). CONCLUSIONS: In this multicenter work, we found variable adherence to NICE guidelines in the care of patients with BECTS and identified a notable level of neurological comorbidity. Patients with BECTS may benefit from enhanced cognitive and behavioral assessment and monitoring.

Correlation between scalp high-frequency oscillations and prognosis in patients with benign epilepsy of childhood with centrotemporal spikes.

AIMS: The study aimed to explore whether high-frequency oscillations (HFOs) can predict seizure risk and atypical manifestations of benign epilepsy of childhood with centrotemporal spikes (BECTS). METHODS: We recruited 60 patients and divided them into three groups: (1) seizure-free BECTS, (2) active typical BECTS, and (3) active atypical forms of BECTS. Electroencephalogram was used to record the number, location, average amplitude, and duration of spikes, and spike ripples were analyzed using time-frequency technology. Multivariable logistic regression analysis was used to investigate independent predictive factors for prognosis. RESULTS: The number of sleep spike ripples, rather than spikes, was an independent risk factor for the active period of the disease (odds ratio [OR] = 4.714, p = 0.003) and atypical forms of BECTS (OR = 1.455, p = 0.049); the optimal thresholds for the spike ripple rate were >0 (area under the curve [AUC] = 0.885, sensitivity = 96.15%, specificity = 73.33%) and >0.6/min (AUC = 0.936, sensitivity = 84.21%, specificity = 96.15%), respectively. Furthermore, in typical BECTS, the spike ripple rate showed significant negative correlations with time since the last seizure (ρ = -0.409, p = 0.009) and age (ρ = -0.379, p = 0.016), while the spike rate did not. CONCLUSION: Spike ripple was a marker for distinguishing typical and atypical forms of BECTS and reflected the risk of seizure recurrence better than the spike alone. The present findings might assist clinicians in BECTS treatment.

Protocol for spike-triggered closed-loop auditory stimulation during sleep in patients with epilepsy.

Several epilepsies are characterized by interictal spikes in the electroencephalogram occurring preferentially during sleep. We present a closed-loop auditory stimulation protocol with potential for treating sleep epilepsies. We describe the pre-sleep preparations, sleep recordings, the auditory stimulation, in which tones are triggered upon spike detection, and post-sleep procedures. This protocol has been shown to decrease likelihood and amplitude of subsequent spikes in patients with BECTS (Benign epilepsy with centrotemporal spikes) and can be applied to study non-pharmacological treatments of sleep epilepsies. For complete details on the use and execution of this protocol, please refer to Klinzing et al. (2021).

Electrical status epilepticus during sleep (ESES) in benign childhood epilepsy with Centrotemporal spikes (BCECTS): insights into predictive factors, and clinical and EEG outcomes.

OBJECTIVE: Benign childhood epilepsy with centro-temporal spikes (BCECTS), otherwise known as benign rolandic epilepsy, is the most common focal epilepsy in childhood. This study aimed to evaluate the development and resolution of ESES in children with BCECTS and evaluate the clinical and electroencephalography (EEG) parameters associated with prognosis. PATIENTS AND METHODS: Resolution of ESES was defined as the reduction of the spike-wave index (SWI) to <50%. The SWI short method, measurements from the first 180 s of non-rapid eye movement; and the conventional method, measurements from total NREM stage 2, SW count during the first 60 and 180 s of NREM, SW localization, and ESES type were determined. RESULTS: Of a total of 126 BCECTS patients, 33, including 13 females, 20 males, who developed ESES during follow-up, were included in the study. ESES remission was observed in 42.4% (n = 14) of the patients. The median time to remission was 10.5 months. The rate of resolution was 87.9 % for the entire population. The mean age at resolution was 9.8 ± 2.05 years and the mean time to resolution was 8.8 months. CONCLUSIONS: The data demonstrated that age at ESES diagnosis, the time between BCECTS diagnosis and the onset of ESES, time to resolution of ESES, ESES remission, and seizure freedom after ESES were significantly associated with prognosis. The early recognition of ESES evolution in children with BECTS, the better understanding of the relationship between age at ESES diagnosis and remission and prognosis, and timely intervention can prevent long-term sequelae.

Neuropsychological and behavioral profiles of self-limited epileptic syndromes of childhood: a cross-syndrome comparison.

Childhood epilepsy with centro-temporal spikes (CECTS), Childhood absence epilepsy (CAE) and Panayiotopoulos syndrome (PS) are some of the most common pediatric epileptic syndromes. Despite the relatively benign (self-limited) course of epilepsy, current evidence suggests that these conditions are associated with an increased risk of neuropsychological and behavioral comorbidities. This study provides a cross-epileptic syndromes' comparison reporting on the cognitive and behavioral profile of a cohort of 32 children with CECTS (n = 14), CAE (n = 10) and PS (n = 8), aged 6 to 15 years old. Frequent, although often subclinical cognitive difficulties involving attention, executive functions and academic abilities were found in children with CECTS and CAE, and to a lesser extent in PS. Internalizing symptoms (particularly anxiety) were more common in the PS group compared to CECTS and CAE based on parental reports. Correlational analysis revealed a significant correlation between phonemic fluency and seizure-free interval at the time of evaluation, suggesting a beneficial effect of epilepsy remission on this executive function measure in all the three groups. These results add to existing literature providing further detail on neuropsychological and behavioral peculiarities of children with CECTS, CAE, and PS. Moreover, the need for neuropsychological assessment as part of the standard childhood epilepsy evaluation is stressed. The results are discussed in the context of the current literature, highlighting areas of consensus and controversies related to the clinical management of these epileptic syndromes as well as directions for future research.

EMD-WOG-2DCNN based EEG signal processing for Rolandic seizure classification.

Objective Approximately 65 million people have epilepsy around the world. Recognition of epilepsy types is the basis to determine the treatment method and predict the prognosis in epilepsy patients. Childhood benign epilepsy with centrotemporal spikes (BECTS) or benign Rolandic epilepsy is the most common focal epilepsy in children, accounting for 15-20% of childhood epilepsies. These EEG patterns of individuals usually predict good treatment responses and prognosis. Until now, the interpretation of EEG still depends entirely on experienced neurologists, which may be a lengthy and tedious task. Method In this article, we proposed a novel machine learning model that efficiently distinguished Rolandic seizures from normal EEG signals. The proposed machine learning model processes the identification procedure in the following order (1) creating preliminary EEG features using signal empirical mode decomposition, (2) applying weighted overlook graph (WOG) to represent the decomposed EMD of IMF, and (3) classifying the results through a two Dimensional Convolutional Neural Network (2DCNN). The performance of our classification model is compared with other representative machine learning models. Results The model offered in this article gains an accuracy performance exceeding 97.6% in the Rolandic dataset, which is higher than other classification models. The effect of the model on the Bonn public dataset is also comparable to existing methods and even performs better in some subsets. Conclusion The purpose of this study is to introduce the most common childhood benign epilepsy type and propose a model that meets the real clinical needs to distinguish this Rolandic EEG pattern from normal signals accurately. Significance Future research will optimize the model to categorize other types of epilepsies beyond BECTS and finally implement them in the hospital system.

Measuring the effects of sleep on epileptogenicity with multifrequency entropy.

OBJECTIVE: We demonstrate that multifrequency entropy gives insight into the relationship between epileptogenicity and sleep, and forms the basis for an improved measure of medical assessment of sleep impairment in epilepsy patients. METHODS: Multifrequency entropy was computed from electroencephalography measurements taken from 31 children with Benign Epilepsy with Centrotemporal Spikes and 31 non-epileptic controls while awake and during sleep. Values were compared in the epileptic zone and away from the epileptic zone in various sleep stages. RESULTS: We find that (I) in lower frequencies, multifrequency entropy decreases during non-rapid eye movement sleep stages when compared with wakefulness in a general population of pediatric patients, (II) patients with Benign Epilepsy with Centrotemporal Spikes had lower multifrequency entropy across stages of sleep and wakefulness, and (III) the epileptic regions of the brain exhibit lower multifrequency entropy patterns than the rest of the brain in epilepsy patients. CONCLUSIONS: Our results show that multifrequency entropy decreases during sleep, particularly sleep stage 2, confirming, in a pediatric population, an association between sleep, lower multifrequency entropy, and increased likelihood of seizure. SIGNIFICANCE: We observed a correlation between lowered multifrequency entropy and increased epileptogenicity that lays preliminary groundwork for the detection of a digital biomarker for epileptogenicity.

Early prediction of encephalopathic transformation in children with benign epilepsy with centro-temporal spikes.

BACKGROUND: Most children with Benign epilepsy with centro-temporal spikes (BECTS) undergo remission during late adolescence and do not require treatment. In a small group of patients, the condition may evolve to encephalopathic syndromes including epileptic encephalopathy with continuous spike-and-wave during sleep (ECSWS), or Landau-Kleffner Syndrome (LKS). Development of prediction models for early identification of at-risk children is of utmost importance. AIM: To develop a predictive model of encephalopathic transformation using data-driven approaches, reveal complex interactions to identify potential risk factors. METHODS: Data were collected from a cohort of 91 patients diagnosed with BECTS treated between the years 2005-2017 at a pediatric neurology institute. Data on the initial presentation was collected based on a novel BECTS ontology and used to discover potential risk factors and to build a predictive model. Statistical and machine learning methods were compared. RESULTS: A subgroup of 18 children had encephalopathic transformation. The least absolute shrinkage and selection operator (LASSO) regression Model with Elastic Net was able to successfully detect children with ECSWS or LKS. Sensitivity and specificity were 0.83 and 0.44. The most notable risk factors were fronto-temporal and temporo-parietal localization of epileptic foci, semiology of seizure involving dysarthria or somatosensory auras. CONCLUSION: Novel prediction model for early identification of patients with BECTS at risk for ECSWS or LKS. This model can be used as a screening tool and assist physicians to consider special management for children predicted at high-risk. Clinical application of machine learning methods opens new frontiers of personalized patient care and treatment.

TMT-Based Proteomic Analysis of Plasma from Children with Rolandic Epilepsy.

Rolandic epilepsy is one of the most common epileptic syndromes in childhood. We used TMT-based proteomics and bioinformatics analysis to identify the differentially expressed proteins in plasma of children with Rolandic epilepsy. Our aim was to provide a molecular basis for exploring possible mechanisms underlying the pathogenesis of epilepsy. Subjects were divided into two groups (five in each): patients with Rolandic epilepsy as cases and patients with migraine as controls. Total proteins were extracted and quantitatively labeled with TMT, then analyzed using liquid chromatography mass spectrometry. Bioinformatics analysis was used to identify the hub genes. A total of 752 proteins were identified, of which 670 contained quantitative proteins. 217 differentially expressed proteins were identified, 46 of which were only upregulated in more than two groups and 111 of which were only downregulated in more than two groups. Bioinformatics analysis revealed top 10 hub genes in the up- and downregulated groups, respectively. Our study demonstrates that some differentially expressed proteins are associated with epilepsy. Activation of acute-phase or innate immune response and complement and fibrinogen systems and repression of glycolysis, lipoprotein metabolism, and antioxidant activity may play a role in the development of epilepsy.

Oral language in children with benign childhood epilepsy with centrotemporal spikes.

PURPOSE: Benign childhood epilepsy with centrotemporal spikes is one of the most common childhood disorders. Despite the benignity usually attributed to this epileptic syndrome, several studies have demonstrated that these children have cognitive disabilities. Among these disturbances, language disorders have been the less studied in depth. We aimed to obtain accurate information about the language skills of children with this epileptic syndrome and to explore the correlation between demographic and clinical factors associated with epilepsy and the language skills. METHODS: We assessed 30 children with this epileptic syndrome, followed in three hospitals in Lisbon, and 60 controls, aged between 6 and 12 years, attending the same schools and matched by age, gender, and parents' socioprofessional level. All the included children did not present cognitive impairment (reasoning ability, verbal memory), sensory, or motor limitations. The evaluation tests covered all language areas. RESULTS: Overall, children with this epileptic syndrome had lower skills in the majority of the language areas, when compared with their peers. These children showed greater difficulties in semantics and syntax domains. The atypical evolution of the seizures and a longer duration of epilepsy were the clinical variables that most influence the language skills of our samples. CONCLUSION: The early assessment of these capacities and the possible need for therapeutic intervention should be emphasized, in order to minimize the impact on their academic performance and quality of life.

Seizures in self-limited epilepsy with centrotemporal spikes: video-EEG documentation.

PURPOSE: Self-limited epilepsy with centrotemporal spikes, formerly called benign epilepsy with centrotemporal spikes, or rolandic epilepsy, is an age-related and well-defined epileptic syndrome. Since seizures associated with rolandic spikes are infrequent and usually occur during sleep, and repetitive or prolonged EEG recording for diagnostic purposes is not necessary for diagnosis, reports of ictal video-electroencephalographic seizures in this syndrome are rare. We aimed to show ictal video-EEG of typical rolandic seizures. METHODS: We report the ictal video-EEG recordings of two children with rolandic epilepsy who presented typical rolandic seizures during routine recording. RESULTS: Case 1: A 9-year-old boy, with normal development, had his first seizure at 8 years old, characterized by paresthesia in his left face, blocking of speech, and drooling. Carbamazepine was started with seizure control. Case 2: A 10-year-old boy, with normal development, started with focal seizures during sleep, characterized by eye and perioral deviation, and speech arrest at age of 7. He started using oxcarbazepine. Both patients underwent routine electroencephalography for electroclinical diagnosis and presented a seizure. CONCLUSION: Although self-limited epilepsy with centrotemporal spikes is a very common epileptic syndrome, seizure visualization is very difficult, and these videos may bring didactical information for recognition of this usual presentation of benign childhood focal epilepsy.

Nonlinear Analysis of Visually Normal EEGs to Differentiate Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS).

Childhood epilepsy with centrotemporal spikes, previously known as Benign Epilepsy with Centro-temporal Spikes (BECTS) or Rolandic Epilepsy, is one of the most common forms of focal childhood epilepsy. Despite its prevalence, BECTS is often misdiagnosed or missed entirely. This is in part due to the nocturnal and brief nature of the seizures, making it difficult to identify during a routine electroencephalogram (EEG). Detecting brain activity that is highly associated with BECTS on a brief, awake EEG has the potential to improve diagnostic screening for BECTS and predict clinical outcomes. For this study, 31 patients with BECTS were retrospectively selected from the BCH Epilepsy Center database along with a contrast group of 31 patients in the database who had no form of epilepsy and a normal EEG based on a clinical chart review. Nonlinear features, including multiscale entropy and recurrence quantitative analysis, were computed from 30-second segments of awake EEG signals. Differences were found between these multiscale nonlinear measures in the two groups at all sensor locations, while visual EEG inspection by a board-certified child neurologist did not reveal any distinguishing features. Moreover, a quantitative difference in the nonlinear measures (sample entropy, trapping time and the Lyapunov exponents) was found in the centrotemporal region of the brain, the area associated with a greater tendency to have unprovoked seizures, versus the rest of the brain in the BECTS patients. This difference was not present in the contrast group. As a result, the epileptic zone in the BECTS patients appears to exhibit lower complexity, and these nonlinear measures may potentially serve as a clinical screening tool for BECTS, if replicated in a larger study population.

Novel variant in CHRNA4 with benign childhood epilepsy with centrotemporal spikes and contribution to precise medicine.

BACKGROUND: Benign childhood epilepsy with centrotemporal spikes (BECTS) or benign rolandic epilepsy is the most common epileptic syndrome in school-age children. Genetics is an important factor in BECTS pathogenesis, and <10 genes were associated with BECTS. This study aimed to identify novel genetic causes of BECTS. METHODS: We conducted whole-exome sequencing on a patient with BECTS and validated the findings by Sanger sequencing in a pedigree with three patients. RESULTS: CHRNA4 c.1007G>A was identified in three patients with BECTS in a pedigree. Carbamazepine, which should be carefully used in BECTS, was observed to be effective in the treatment of our atypical BECTS proband based on the molecular diagnosis of CHRNA4. CONCLUSION: This is the first study on CHRNA4 variant in BECTS, which widened the genetic spectrum of BECTS and contributed to precise medicine in BECTS.

[Prognosis of benign childhood epilepsy with centrotemporal spikes: clinical utility of objective diagnostic criteria]. / Pronóstico de la epilepsia de la infancia con puntas centrotemporales: utilidad clínica de unos criterios diagnósticos objetivos.

INTRODUCTION: Studies about childhood epilepsy with centrotemporal spikes (CECTS), most of them retrospective, include patients with highly heterogeneous features. AIM: To investigate the prognostic value of objective diagnostic criteria for CECTS applied at six month of evolution of epilepsy. PATIENTS AND METHODS: All patients with one or more unprovoked epileptic seizures (n = 827) were prospectively included. We investigated prognosis and clinical features of five groups of patients defined in accordance with the presence of centrotemporal spikes (CTS) and the following signs: speech arrest or dysarthria; hemifacial tonic or clonic contractions; and prominent sialorrhea. Group A (two or three signs and CTS), group B (one sign and CTS), group C (no sign and CTS), group D (two or three signs without CTS), group E (tonic-clonic generalized seizures and CTS). RESULTS: 52, 12, 12, 22 and 8 cases were classified respectively into groups A, B, C, D and E. Patients of the five groups presented a similar semiology but differences in the probability of attaining a 3-years remission without antiepileptic treatment were observed: group A (98%), group B (92%), group C (90%), group D (77%), group E (100%). The difference between groups A and D was statistically significant. CONCLUSION: Cases of group A could be considered as well-defined cases of CECTS; cases of groups B, C and E, as probable cases of CECTS, and cases of group D must be excluded from the diagnosis.

TITLE: Pronóstico de la epilepsia de la infancia con puntas centrotemporales: utilidad clínica de unos criterios diagnósticos objetivos.Introducción. Los estudios sobre el pronóstico de la epilepsia de la infancia con puntas centrotemporales (EIPCT), la mayoría retrospectivos, incluyen a pacientes con características clínicas muy heterogéneas. Objetivo. Investigar el valor pronóstico de unos criterios diagnósticos objetivos de EIPCT aplicados a los seis meses de evolución de la epilepsia. Pacientes y métodos. Se incluyó prospectivamente a todos los pacientes con una o más crisis epilépticas no provocadas (n = 827). Se investigó el pronóstico y las características clínicas de cinco grupos de pacientes, definidos según la presencia de punta-onda centrotemporal (POCT) y de los siguientes signos: bloqueo del habla o disartria, contracciones tónicas o clónicas hemifaciales y sialorrea prominente. Grupo A (dos o tres signos y POCT), grupo B (un signo y POCT), grupo C (ningún signo y POCT), grupo D (dos o tres signos sin POCT), grupo E (crisis tonicoclónicas generalizadas y POCT). Resultados. Se clasificaron 52, 12, 12, 22 y 8 casos, respectivamente, en los grupos A, B, C, D y E. Los pacientes de los cinco grupos presentaron una semiología similar, pero se observaron diferencias en la probabilidad de alcanzar una remisión inicial de tres años sin crisis ni tratamiento antiepiléptico: grupo A (98%), grupo B (92%), grupo C (90%), grupo D (77%) y grupo E (100%). La diferencia entre los grupos A y D fue estadísticamente significativa. Conclusión. Los casos del grupo A podrían considerarse como casos bien definidos de EIPCT; los casos de los grupos B, C y E, como casos probables, y los del grupo D deberían excluirse del diagnóstico.

Electroencephalographic abnormalities are correlated with cognitive deficits in children with benign childhood epilepsy with centrotemporal spikes: A clinical study of 61 cases.

OBJECTIVE: The objective of this study was to explore the effect of spikes on cognition in patients with benign childhood epilepsy with centrotemporal spikes (BECTS) and to identify electroencephalography (EEG) markers enabling early detection of cognitive impairment. METHODS: Sixty-one children with BECTS diagnoses and 60 age- and education-matched healthy controls were enrolled. Four-hour EEG recordings were analyzed for each patient to check for interictal spikes, high-frequency oscillations (HFOs), nondipole spikes, and other atypical EEG features and to examine the spike-wave index of nonrapid eye movement (NREM) sleep. All 121 children underwent a series of neuropsychological tests to assess cognitive function. RESULTS: Patients with a high NREM sleep discharge index (≥55%) in the first sleep cycle exhibited significantly lower scores for arithmetic calculation, executive function, and attention and memory tests than patients with a low discharge index (<55%). Eight patients with HFOs exhibited even poorer performance than HFO-negative patients for arithmetic calculation, executive function, vocabulary comprehension, visual perception, vocal perception, spatial memory ability, and response ability. Children with bilateral discharge exhibited poorer ability in three-dimensional spatial imaging test, poorer memory, and slower response than did those with unilateral discharge (P < .05). Nondipole spikes, multiple asynchronous discharges, and generalized spike-wave discharges respectively had an impact on calculation ability, memory, and reaction ability respectively (P < .05). CONCLUSIONS: Spike frequencies in stage 3 and 4 sleep varied from those observed in stage 1 and 2 sleep; the highest spike frequency was in stage 2 sleep. High NREM sleep discharge index (i.e., ≥55%) and HFOs were linked to the highest risk for cognitive deficit, while bilateral discharges, nondipole spikes, multiple asynchronous discharges, and generalized spike-wave discharges were less indicative of cognitive impairment.

Pronóstico de la epilepsia de la infancia con puntas centrotemporales: utilidad clínica de unos criterios diagnósticos objetivos / Prognosis of benign childhood epilepsy with centrotemporal spikes: clinical utility of objective diagnostic criteria

INTRODUCCIÓN: Los estudios sobre el pronóstico de la epilepsia de la infancia con puntas centrotemporales (EIPCT), la mayoría retrospectivos, incluyen a pacientes con características clínicas muy heterogéneas. OBJETIVO: Investigar el valor pronóstico de unos criterios diagnósticos objetivos de EIPCT aplicados a los seis meses de evolución de la epilepsia. PACIENTES Y MÉTODOS: Se incluyó prospectivamente a todos los pacientes con una o más crisis epilépticas no provocadas (n = 827). Se investigó el pronóstico y las características clínicas de cinco grupos de pacientes, definidos según la presencia de punta-onda centrotemporal (POCT) y de los siguientes signos: bloqueo del habla o disartria, contracciones tónicas o clónicas hemifaciales y sialorrea prominente. Grupo A (dos o tres signos y POCT), grupo B (un signo y POCT), grupo C (ningún signo y POCT), grupo D (dos o tres signos sin POCT), grupo E (crisis tonicoclónicas generalizadas y POCT). RESULTADOS: Se clasificaron 52, 12, 12, 22 y 8 casos, respectivamente, en los grupos A, B, C, D y E. Los pacientes de los cinco grupos presentaron una semiología similar, pero se observaron diferencias en la probabilidad de alcanzar una remisión inicial de tres años sin crisis ni tratamiento antiepiléptico: grupo A (98%), grupo B (92%), grupo C (90%), grupo D (77%) y grupo E (100%). La diferencia entre los grupos A y D fue estadísticamente significativa. CONCLUSIÓN: Los casos del grupo A podrían considerarse como casos bien definidos de EIPCT; los casos de los grupos B, C y E, como casos probables, y los del grupo D deberían excluirse del diagnóstico

INTRODUCTION: Studies about childhood epilepsy with centrotemporal spikes (CECTS), most of them retrospective, include patients with highly heterogeneous features. AIM: To investigate the prognostic value of objective diagnostic criteria for CECTS applied at six month of evolution of epilepsy. PATIENTS AND METHODS: All patients with one or more unprovoked epileptic seizures (n = 827) were prospectively included. We investigated prognosis and clinical features of five groups of patients defined in accordance with the presence of centrotemporal spikes (CTS) and the following signs: speech arrest or dysarthria; hemifacial tonic or clonic contractions; and prominent sialorrhea. Group A (two or three signs and CTS), group B (one sign and CTS), group C (no sign and CTS), group D (two or three signs without CTS), group E (tonic-clonic generalized seizures and CTS). RESULTS: 52, 12, 12, 22 and 8 cases were classified respectively into groups A, B, C, D and E. Patients of the five groups presented a similar semiology but differences in the probability of attaining a 3-years remission without antiepileptic treatment were observed: group A (98%), group B (92%), group C (90%), group D (77%), group E (100%). The difference between groups A and D was statistically significant. CONCLUSION. Cases of group A could be considered as well-defined cases of CECTS; cases of groups B, C and E, as probable cases of CECTS, and cases of group D must be excluded from the diagnosis

Impact of epilepsy on language and discourse: Two self-limited focal epileptic syndromes of childhood.

Self-limited focal epilepsy with centro-temporal spikes, also known as Rolandic epilepsy (RE), is a well-established focal epilepsy of childhood, characterized with language impairment. To investigate the relationship between language deficits and clinical parameters of self-limited focal epilepsies of childhood (SFEC), 21 patients with RE, 10 patients with childhood occipital epilepsy of Gastaut type (COE-G) (another SFEC that is not typically associated with language impairment), and 31 healthy controls were recruited. A broad panel of language tests also including narration sample was administered, and clinical features were documented. The language was significantly impaired in both RE and COE-G. Patients with COE-G showed worse scores than patients with RE in subtests measuring semantic functions. Clinical parameters were not associated with impaired language domains. Language impairment is experienced in different types of SFEC, emphasizing the broad representation of the language network. In SFEC, recent activity of epilepsy does not affect the severity of language dysfunction.

Benign Rolandic epilepsy: widespread increases in connectivity in a focal epilepsy syndrome.

Benign Rolandic epilepsy (benign epilepsy with centrotemporal spikes; recently renamed self-limited epilepsy with centrotemporal spikes) is associated with widespread deficits in cognition and behavior, suggesting abnormalities in networks that extend beyond the centrotemporal region. To assess functional connectivity in children with benign Rolandic epilepsy, we assessed EEG spectral power and coherence during awake and sleep records in 27 children with centrotemporal spikes. Coherence represents the consistency of the phase difference between two EEG signals when compared over time and serves as a measure of synchronization between two EEG signals based mainly on phase consistency. Epochs of EEG with and without centrotemporal spikes were compared during both waking and sleep. During the spike epochs, there was an increase in spectral power at all frequencies, although statistical significance was seen primarily in the delta, theta and alpha bandwidths. This increase in absolute power was seen at all electrode sites and was similar in left and right-sided electrodes. During centrotemporal spikes, there were significant changes in coherence compared to the EEG segments without spikes. In the theta, alpha and beta bandwidths, there were significant increases in coherence. The increases in coherences were widespread and bilateral, and involved electrode pairs outside the central and temporal regions. To determine if there was a relationship between location of the spikes and coherence values, right-sided, left-sided and bilateral centrotemporal spikes were compared. There was no relationship between location of the centrotemporal spikes and power or coherence values. These findings indicate that benign Rolandic epilepsy results in generalized changes in spectral power and connectivity and raises the suggestion that from a functional standpoint, benign Rolandic epilepsy resembles a generalized rather than focal seizure disorder.

[Electroclinical characteristics of epilepsy children with midline epileptiform discharges related epileptic negative myoclonus as the first symptom].

Objective: To investigate the electroclinical findings in epilepsy children with epileptic negative myoclonus (ENM) restricted to the lower limb as the first seizure type. Methods: Each retrieved electroencephalogram record performed between March 2011 and March 2018 at the Department of Pediatrics of Peking University First Hospital was searched with "midline" . There were 302 records of 175 patients with "benign" or "functional" midline spikes. A retrospective review of each patient's hospital record was performed. Thirteen patients had ENM restricted to the lower limb as the first seizure type. The clinical and electroencephalogram characteristics of them were analyzed. Results: Thirteen patients manifested ENM restricted to the lower limb as the first seizure type, diagnosed as benign childhood focal epilepsy with vertex spikes (BEVS). Six patients had ENM as the first and only seizure type during the short-time follow-up. Among them, there were 1 male and 5 females. The age at seizure onset was (2.5±0.7) years. One of them had electrical status epilepticus during sleep (ESES) identified on electroencephalogram at theage of 4 years and 8 months. The last follow-up age was (3.8±1.5) years. The remaining 7 patients developed nocturnal focal motor seizures. Among them, there were 4 males and 3 females. The age at seizure onset was (3.5±0.7) years. Two of them were diagnosed as BEVS evolving into benign childhood epilepsy with centrotemporal spikes (BECTS) and 5 were diagnosed as BEVS concurring with BECTS. The age at focal seizures was (4.1±0.6) years. The interval ranged from 1 month to 1 years. Six of 7 patients had electrical ESES with the age of (5.2±1.0) years. All had developmental regression, further diagnosed as atypical benign partial epilepsy (ABPE). The median age at last follow-up was 5.9 years. Five of 13 patients had repeated electroencephalogram records at our apartment, showing that epileptiform discharges in midline regions were significantly reduced either in frequency or amplitude with the improvement of ENM restricted to the lower limb and that independent epileptiform discharges in Rolandic regions from midline regions were noticed with the onset of nocturnal focal seizures. Conclusions: ENM restricted to the lower limb has a close association with vertex (midline) epileptiform discharges. ENM restricted to the lower limb as the first seizure type is a peculiar phenomenon of BEVS. Some patients could evolve into BECTS or overlap with BECTS, and further into ABPE. The age of seizure onset in BEVS with ENM restricted to the lower limb as the first symptom is a little earlier than in BECTS. Ignorance of the close association between midline spikes and ENM restricted to the lower limb may lead to misdiagnosis of these patients.

Development of Ontology for Self-limited Epilepsy with Centrotemporal Spikes and Application of Data Mining Algorithms to Identify New Subtypes.

BACKGROUND: Benign rolandic epilepsy or benign childhood epilepsy with centrotemporal spikes (BCECTS) is a common childhood epileptic syndrome. The syndrome resolves in adolescence, but 1-7% of patients have an atypical presentation, some of which require aggressive medical treatment. Early treatment may prevent complications and neurocognitive deterioration. Variants include Landau-Kleffner syndrome (LKS) and electrical status epilepticus during sleep (ESES). OBJECTIVES: To determine data driven identification of risk factors and characterization of new subtypes of BCECTS based on anontology. To use data mining analysis and correlation between the identified groups and known clinical variants. METHODS: We conducted a retrospective cohort study comprised of 104 patients with a diagnosis of BCECTS and a minimum of 2 years of follow-up, between the years 2005 and 2017. The medical records were obtained from the epilepsy service unit of the pediatric neurology department at Dana-Dwek Hospital, Tel Aviv Sourasky Medical Center. We developed a BCECTS ontology and performed data preprocessing and analysis using the R Project for Statistical Computing (https://www.r-project.org/) and machine learning tools to identify risk factors and characterize subgroups. RESULTS: The ontology created a uniform and understandable infrastructure for research. With the ontology, a more precise characterization of clinical symptoms and EEG activity of BCECTS was possible. Risk factors for the development of severe atypical presentations were identified: electroencephalography (EEG) with spike wave (P < 0.05), EEG without evidence of left lateralization (P < 0.05), and EEG localization (centrotemporal, frontal, or frontotemporal) (P < 0.01). CONCLUSIONS: Future use of the ontology infrastructure for expanding characterization for multicenter studies as well as future studies of the disease are needed. Identifying subgroups and adapting them to known clinical variants will enable identification of risk factors, improve prediction of disease progression, and facilitate adaptation of more accurate therapy. Early identification and frequent follow-up may have a significant impact on the prognosis of the atypical variants.