Peri-ictal EEG in infants with PRRT2-related self-limited infantile epilepsy

OBJECTIVE

Pathogenic PRRT2 variants cause self-limited (familial) infantile epilepsy (SeLIE), which is responsive to sodium channel blocking antiseizure medications. The interictal EEG is typically normal. We describe a cohort of infants with PRRT2-related SeLIE with striking peri-ictal EEG abnormalities.

METHODS

We included all infants diagnosed with PRRT2-related SeLIE during July 2020 to November 2021 at the Royal Children's Hospital, Melbourne. Clinical features and results of aetiologic investigations were collected from electronic medical records. All EEGs were reviewed independently by two epileptologists.

RESULTS

Ten infants presented with focal seizures at a median age of 5 months (range: 3-6 months). Eight had a family history of epilepsy, paroxysmal kinesigenic dyskinesia (PKD) or hemiplegic migraine. Seven of the eight infants with an EEG performed within 24 h of the most recent seizure had epileptiform discharges. Their EEGs showed focal sharp waves, spikes, polyspikes or fast activity independently over the left and right temporo-occipital regions. Conversely, the two infants with last known seizure greater than 24 h prior to their EEG had no epileptiform discharges. Oxcarbazepine was commenced in two infants and was effective. Eight infants were initially treated with levetiracetam, and all were subsequently switched to oxcarbazepine due to ongoing seizures or side effects.

SIGNIFICANCE

Posterior polymorphic focal epileptiform discharges on a peri-ictal EEG recording are a feature of PRRT2-related SeLIE. This finding, particularly in the presence of a family history of infantile epilepsy, PKD or hemiplegic migraine, suggests a diagnosis of PRRT2-related SeLIE and has important treatment implications.

Early initial video-electro-encephalography combined with variant location predict prognosis of KCNQ2-related disorder

BACKGROUND

The clinical features of KCNQ2-related disorders range from benign familial neonatal seizures 1 to early infantile epileptic encephalopathy 7. The genotype-phenotypic association is difficult to establish.

OBJECTIVE

To explore potential factors in neonatal period that can predict the prognosis of neonates with KCNQ2-related disorder.

METHODS

Infants with KCNQ2-related disorder were retrospectively enrolled in our study in Children's Hospital of Fudan University in China from Jan 2015 to Mar 2020. All infants were older than age of 12 months at time of follow-up, and assessed by Bayley Scales of Infant and Toddler Development-Third Edition (BSID-III) or Wechsler preschool and primary scale of intelligence-fourth edition (WPPSI-IV), then divided into three groups based on scores of BSID-III or WPPSI-IV: normal group, mild impairment group, encephalopathy group. We collected demographic variables, clinical characteristics, neuroimaging data. Considered variables include gender, gestational age, birth weight, age of the initial seizures, early interictal VEEG, variant location, delivery type. Variables predicting prognosis were identified using multivariate ordinal logistic regression analysis.

RESULTS

A total of 52 infants were selected in this study. Early interictal video-electro-encephalography (VEEG) (β = 2.77, 1.20 to 4.34, P = 0.001), and variant location (β = 2.77, 0.03 to 5.5, P = 0.048) were independent risk factors for prognosis. The worse the early interictal VEEG, the worse the prognosis. Patients with variants located in the pore-lining domain or S4 segment are more likely to have a poor prognosis.

CONCLUSIONS

The integration of early initial VEEG and variant location can predict prognosis. An individual whose KCNQ2 variant located in voltage sensor, the pore domain, with worse early initial VEEG background, often had an adverse outcome.

Risk factors for neonatal seizures: A case-control study in the province of Parma, Italy

PURPOSE

The present study evaluated the risk factors for electroencephalographic (EEG)-confirmed seizures during the whole neonatal period in preterm and term neonates born in the province of Parma between January 2009 and December 2014.

METHODS

We selected as cases the infants that presented EEG-confirmed neonatal seizures (NS). Two population controls for each case were matched by gestational age (GA), sex, hospital, and period of birth. Information on the mother, the pregnancy, the labor and delivery, and the neonates were taken from the Emilia-Romagna Certificate of Delivery Assistance database and from hospital charts and ICD-9-CM codes.

RESULTS AND INTERPRETATION

In the 6-year period of this study, 22 patients were recorded with NS. The association between at least one pregnancy complication and at least one neonatal complication, a low Apgar score, the need for resuscitation at birth, intraventricular hemorrhages (IVH) grades II-IV for preterm, and acute perinatal asphyxia/hypoxic-ischemic encephalopathy (HIE) for term infants were all statistically significant among cases. Neonates presenting these risk factors are more prone to develop NS and have to be strictly monitored.

Inter-rater reliability of amplitude-integrated EEG for the detection of neonatal seizures

BACKGROUND

Amplitude-integrated electroencephalogram (aEEG) is being used increasingly for seizure detection in neonates. However, data regarding inter-rater reliability among neonatologists for the use of aEEG for the detection of neonatal seizures is lacking.

METHODS

Term and late-preterm infants at risk of seizures were monitored simultaneously with 24-h video-electroencephalography (vEEG) and aEEG. vEEG was interpreted by an experienced neurologist. Five neonatologists with experience in aEEG interpretation from four different neonatal units interpreted aEEG recordings independently. The Brennan and Prediger kappa coefficient and Intra-class Correlation Coefficients (ICC) were used to assess inter-rater reliability between the neonatologists.

RESULTS

Thirty-five infants at risk of seizure with gestational age at birth 35-42 weeks were recruited for the study after informed parental consent. vEEG detected seizures in seven infants with a total of 169 individual seizure episodes. Neonatologists detected seizures in 10 to 15 infants on aEEG. The sensitivities for the detection of individual seizures by neonatologists ranged from 18% to 38%. The inter-rater reliability for detection of: individual seizure was "fair" (kappa = 0.37; 95% CI: 0.32-0.42), infant with seizure was "moderate" (kappa = 0.60; 95% CI: 0.44-0.75), duration of individual seizure (ICC: 0.22; 95% CI: 0.18-0.28) and total duration of seizures in an infant (ICC: 0.46; 95% CI: 0.30-0.63) was "poor". The neonatologists missed 77-90% of the duration of seizures.

CONCLUSION

The inter-rater reliability of aEEG for the detection of neonatal seizures was suboptimal. Even when interpreted by experienced and trained clinicians, seizure detection with aEEG has limitations and can miss large number and duration of seizures.

A novel de novo KCNQ2 mutation in a child with treatmentresistant early-onset epileptic encephalopathy

Benetou C, Papailiou S, Maritsi D, Anagnostopoulou K, Kontos H, Vartzelis G. A novel de novo KCNQ2 mutation in a child with treatmentresistant early-onset epileptic encephalopathy. Turk J Pediatr 2019; 61: 279-281. Mutations in KCNQ2 gene, encoding for voltage-gated K+ channel subunit, may result in a wide spectrum of early-onset epileptic disorders. The phenotype of the disease varies from `benign familial neonatal seizures` to `severe epileptic encephalopathies`. In this report, we present a novel mutation [namely: c.683A > G (p.His228Arg)], as a presumable cause of severe infantile-onset neonatal seizures, in a 3-month old boy. The seizures have been poorly responsive to various pharmacological treatments, with phenytoin and carbamazepine presenting with the most favourable results so far. The study of our patient could help to further clarify the clinical manifestations of KCNQ2 mutations, revealing a previously unreported mutation.

[Frequency, semiology and prognosis of benign infantile epilepsy]

INTRODUCTION

Benign infantile epilepsy is an epileptic syndrome of infancy. Until now, only a small number of case-series have been published.

AIM

To study the frequency, semiology and prognosis of benign infantile epilepsy.

PATIENTS AND METHODS

The 827 patients with one or more epileptic seizures seen at our hospital between 1 June 1994 and 1 March 2011 were included and prospectively followed. A diagnosis of benign infantile epilepsy was made in patients that fulfilled the following criteria at six month of evolution: one or more focal and/or generalised seizures, onset before 24 months, no neurological deficit and normal neuroimaging and interictal EEG.

RESULTS

77 cases (9%) met the diagnostic criteria. Semiology of the seizures was similar to that of other focal seizures in children under 24 months. 25% of the patients remained as isolated seizures. Among those with two or more seizures, the probability of achieving a 3 year initial remission without antiepileptic treatment was 86%. In the subgroup of patients with focal seizures without family history the probability was 74% and in five cases a global developmental delay/intellectual disability was detected thereafter.

CONCLUSIONS

Benign infantile epilepsy is a frequent epileptic syndrome. Semiology of seizures is not useful to characterize the syndrome. A diagnosis of benign infantile epilepsy at six month of evolution implies a reasonably good prognosis, but possibly not as good as for other self-limited epilepsies of infancy.

[Benign infantile convulsions associated with mild gastroenteritis: a clinical analysis and follow-up study]

OBJECTIVE

To study the clinical features and prognosis of benign infantile convulsions associated with mild gastroenteritis (BICE).

METHODS

A retrospective analysis was performed for the clinical data of 436 children with BICE, and among these children, 206 were followed up for 1.5 to 7 years. Some parents were invited to complete the Weiss Functional Defect Scale to evaluate the long-term social function.

RESULTS

The peak age of onset of BICE was 13-24 months, and BICE had a higher prevalence rate in September to February of the following year. Convulsions mainly manifested as generalized tonic-clonic seizures, which often occurred within 24 hours after disease onset and lasted for less than 5 minutes each time. Sometimes they occurred in clusters. During the follow-up of 206 children, only one had epileptiform discharge, and the other children had normal electroencephalographic results. The parents of all the 206 children thought their children had normal intelligence and had no marked changes in character. Based on the Weiss Functional Defect Scale completed by the parents of some BICE children, there was no significant difference in the long-term social function between BICE children and healthy children matched by age and sex.

CONCLUSIONS

BICE mainly occurs in children aged 1-2 years, with the manifestation of transient generalized seizures in most children and cluster seizures in some children. BICE seldom progresses to epilepsy and has good prognosis.

[Differential diagnoses of West syndrome]

This study describes the clinical and electroencephalographic characteristics of epileptic spasms, and more especially those that occur during the first two years of life (infantile spasms). West syndrome has been clearly defined as the association between infantile spasms with an electroencephalographic pattern of hypsarrhythmia. Although intellectual deficit appears in almost all cases in which infantile spasms are not controlled with medication, this is a developmental aspect of the condition and not a manifestation that must necessarily be present in order to define the syndrome. The analysis of the interictal and ictal electroencephalogram readings, together with the clinical characteristics of the spasms and the neurological examination of patients, provides some orientation as regards the causations. Despite the spectrum that the title of this work focuses on, the study does not cover the treatment of early infants with West syndrome. Emphasis is placed on the differential diagnoses of West syndrome with other epileptic syndromes that manifest in the first two years of life, and more especially with a series of abnormal non-epileptic motor phenomena that occur in early infants. All these last non-epileptic disorders are displayed in a table, but benign myoclonus of early infancy or Fejerman syndrome is given as a paradigmatic example for the differential diagnosis. The primordial aim is to prevent neurologically healthy early infants from receiving antiepileptic drugs and even adrenocorticotropic hormone or corticoids due to a mistaken diagnosis.

Benign familial neonatal convulsions caused by mutation in KCNQ3, exon 6: a European case

Benign familial neonatal convulsions (BFNC) is a rare, clinically and genetically heterogenous epileptic disorder. Two voltage gated potassium genes, KCNQ2 and KCNQ3, have been identified as genes responsible for BFNC1 and BFNC2 respectively. While as many as 73 mutations of KCNQ2 have been described up to date, only 4 mutations in KCNQ3, 3 of them appearing in exon 5, have been identified. Mutation in exon 6 was found for the first time in a Chinese family, and here we report the same missense mutation of KCNQ3 within exon 6 in a Caucasian family, whose history and clinical picture were in accordance with BFNC.

KCNQ2 abnormality in BECTS: benign childhood epilepsy with centrotemporal spikes following benign neonatal seizures resulting from a mutation of KCNQ2

The molecular pathogenesis of benign childhood epilepsy with centrotemporal spikes (BECTS) remains unclear whereas mutations of the KCNQ2 and KCNQ3 genes have been identified as causes of benign familial neonatal convulsions. We report here a girl with benign neonatal convulsions followed by BECTS, for whom a mutation of KCNQ2 was identified. This case may provide the clue to the understanding of the molecular pathogenesis of BECTS.

[Cases of video electroencephalogram: differential diagnosis in newborn infants]

This study addresses a number of general considerations on epilepsies and epileptic syndromes that develop in the neonatal period. The chronological limits of this stage of maturation are set out and the pathophysiology of the convulsive phenomenon during that period are briefly analysed. Furthermore, the differences that exist as a result of the incipient level of maturity of the newborn infant's central nervous system with regard to other ages, and obviously adults, are highlighted. Likewise, reference is made to the percentage values of this pathology, which even vary depending on the gestational age. The clinical expression has a personality that is very different from the other stages of maturation in children, with four predominant manifestations: subtle, tonic, clonic and myoclonic seizures, which have been universally accepted since they were first reported by Volpe. Epilepsies in the newborn infant are not sufficiently well differentiated in the different classifications of epilepsies and epileptic syndromes that have appeared in recent years, although they could well be, since they display enough significance and individuality for that to be so. Three clinical cases are reported, with the aid of video electroencephalographic findings, to illustrate some of the possible neonatal epileptic manifestations.

The first Korean case of KCNQ2 mutation in a family with benign familial neonatal convulsions

Neonatal seizures represent a heterogeneous group of disorders with vastly different etiologies and outcomes. Benign familial neonatal convulsions (BFNC) are a distinctive epileptic syndrome of autosomal dominant inheritance with a favorable prognosis, characterized by the occurrence of unprovoked partial or generalized clonic seizures in the neonatal period or early infancy. Recently, mutations in two potassium channel genes, KCNQ2 and KCNQ3, have been described in this disorder. In this report, we describe a family with BFNC due to a KCNQ2 mutation, the first such family to be described in the Korean population. The diagnosis of BFNC can be made based on clinical suspicion and careful history taking with special emphasis on the familial nature of the disorder. KCNQ2 mutations may be associated with BFNC in a number of different races, as has been reported in other ethnic groups.

A multistage knowledge-based system for EEG seizure detection in newborn infants

OBJECTIVE

Automatic seizure detection has attracted attention as a method to obtain valuable information concerning the duration, timing, and frequency of seizures. Methods currently used to detect EEG seizures in adults show high false detection rates in neonates because they lack information about specific age-dependent features of normal and pathological EEG and artifacts. This paper describes a novel multistage knowledge-based seizure detection system for newborn infants to identify and classify normal and pathological newborn EEGs as well as seizures with a reduced false detection rate.

METHODS

We developed the system in a way to make comprehensive use of spatial and temporal contextual information obtained from multichannel EEGs. The system development consists of six major stages: (i) EEG data collection and bandpass filtering; (ii) automatic artifact detection; (iii) feature extraction from segments of non-seizure and seizure activities; (iv) feature selection via the relevance and redundancy analysis; (v) EEG classification and pattern recognition using a trained multilayer back-propagation neural network; and (v) knowledge-based decision-making to examine each of possible EEG patterns from a multi-channel perspective. The system was developed and tested with the EEG recordings of 10 newborns aged between 39 and 42 weeks.

RESULTS

The overall sensitivity, selectivity, and average detection rate of the system were 74%, 70.1%, and 79.7%, respectively. The average false detection of 1.55/h was also achieved by the system with a feature reduction up to 80%.

CONCLUSIONS

The expert rule-based decision-making subsystem accompanying the classifier helped to reduce the false detection rate, reject a wide variety of artifacts, and discriminate various patterns of EEG.

SIGNIFICANCE

This paper may serve as a guide for the selection of discriminative features to improve the accuracy of conventional seizure detection systems for routine clinical EEG interpretation and brain activity monitoring in newborns especially those hospitalized in the neonatal intensive care units.

A novel missense mutation (N258S) in the KCNQ2 gene in a Turkish family afflicted with benign familial neonatal convulsions (BFNC)

Benign familial neonatal convulsions (BFNC) is a rare monogenic subtype of idiopathic epilepsy exhibiting autosomal dominant mode of inheritance. The disease is caused by mutations in the two homologous genes KCNQ2 and KCNQ3 that encode the subunits of the voltage-gated potassium channel. Most KCNQ2 mutations are found in the pore region and the cytoplasmic C domain. These mutations are either deletions/insertions that result in frameshift or truncation of the protein product, splice-site variants or missense mutations. This study reveals a novel missense mutation (N258S) in the KCNQ2 gene between the S5 domain and the pore of the potassium channel in two BFNC patients in a Turkish family. The absence of the mutation both in the healthy members of the family and in a control group, and the lack of any other change in the KCNQ2 gene of the patients indicate that N258S substitution is a pathogenic mutation leading to epileptic seizures in this family.

Heart and respiration rate changes in the neonate during electroencephalographic seizure

An investigation of changes in the neonatal electrocardiogram (ECG) and respiration signals from labelled seizure data for five neonatal patient records is reported. A decrease during seizure of 5.70% in the mean RR-interval was found. The mean respiration rate per epoch was found to decrease by a mean 18.44% during seizure. No significant change in the RR-interval standard deviation or in the mean respiration amplitude during seizure was observed. These results raise the possibility of using ECG and respiration based methods instead of existing electrcoenceplogram (EEG) based methods, or in concert with EEG-based neonatal seizure detection methods to improve on previously reported seizure detection methods.

Benign myoclonic epilepsy in infancy (BMEI): a longitudinal electroclinical study of 22 cases

PURPOSE

Benign myoclonic epilepsy in infancy (BMEI) is a nosologically well-defined entity, characterized by myoclonic seizures (MS) in normal children younger than 3 years and by a good long term prognosis. In some cases the seizures are reflex. We studied 22 cases to better define the electroclinical semeiology and evolution of the disorder.

METHODS

Serial electroclinical and neuropsychological assessments, both during wakefulness and during sleep, were performed in 22 otherwise healthy children with spontaneous (17) or reflex (5) MS, recorded by video-EEG-polygraphy since clinical onset.

RESULTS

Seizure onset was between 3 months and 4 years 10 months (50% during first year, 86% before the third year); in reflex cases onset, was earlier than the 14th month. MS recurred during wakefulness and slow sleep in all cases and during REM sleep in reflex cases. MS and related EEG discharges were synchronous or asynchronous. Often ictal EEG discharges were limited to the rolandic and vertex regions (falsely focal paroxysms). Several seizures were subtle and could have escaped recognition. Unusually frequent sleep startles were recorded mostly in reflex cases. MS were well controlled by treatment. At follow-up, between ages 3 and 19 years, four patients had occasional seizures; two had cognitive impairment and three had learning difficulties. No other seizures or cognitive deficits were observed in reflex cases.

CONCLUSIONS

Seizures associated with BMEI are rarely truly generalized and are often so subtle and related to falsely focal paroxysms that their frequency can be underestimated. The reflex form is a well-defined variant with an early onset, peculiar electroclinical features, and a good prognosis.

Focal motor seizure with automatisms in a newborn

Continuous synchronized video-EEG-polygraphic recordings allow us to better define the electroclinical patterns of epileptic events and to study the semiological features of neonatal seizures. Recently, complex behaviours and motor automatisms in newborns have been reported as being epileptic in nature. However, the debate on physiopathology (cortical or brainstem release phenomena) is ongoing. We present the synchronized video-EEG documentation of epileptic complex motor behaviours in a newborn male. Our case contributes to the discussion regarding the semiological classification of the neonatal seizures.[Published with video sequences].

Proposal of an Algorithm for Diagnosis and Treatment of Neonatal Seizures in Developing Countries

Seizures in the neonatal period are common. They can be caused by a variety of conditions, ranging from benign, self-limited illnesses to severe, life-threatening disorders. They are often the first sign of neurologic dysfunction in neonates, and may be used as one factor in considering long-term prognosis. An important mission of the International League Against Epilepsy (ILAE) is to improve the care of patients with epilepsy. Most recently, as part of the Global Campaign against Epilepsy, ILAE, in conjunction with the World Health Organization (WHO), established a new initiative to create clinical guidelines and diagnostic and management algorithms for the care of patients with seizures that can be applied worldwide, including in developing countries with limited or varied medical resources. Created by an international panel of experts in seizure management and guideline development, this document proposes guidelines for the diagnosis and management of the most common and important conditions that cause seizures in the neonatal period. The publication of these clinical pathways for neonatal seizures will be followed by a period of field testing and comment by WHO clinicians and officials before finalization.

SCN2A mutations and benign familial neonatal-infantile seizures: the phenotypic spectrum

Mutations of the sodium channel subunit gene SCN2A have been described in families with benign familial neonatal-infantile seizure (BFNIS). We describe two large families with BFNIS and novel SCN2A mutations. The families had 12 and 9 affected individuals, respectively, with phenotypes consistent with BFNIS. Two mutations were discovered in SCN2A (E430Q; I1596S). Both families had individuals with neonatal onset but the typical age of onset was in the early infantile period (mean 3.0 months). One mutation positive individual, with an otherwise typical clinical pattern, had seizures beginning at 13 months. Two individuals with SCN2A mutations were identified with seizures in later life. In each family a single individual with infantile seizures was mutation negative and thus represented phenocopies. This study extends the age range of presentation of BFNIS, confirms that neonatal and early infantile onsets are characteristic, and emphasizes the role of molecular diagnosis to confirm the etiology.

Ictal EEG in patients with convulsions with mild gastroenteritis

The aim of this study is to reveal detailed clinical manifestations and an evolution of ictal EEG discharges of convulsions with mild gastroenteritis (CwG). We recorded ictal EEGs of six patients with CwG. Clinical manifestations included loss of responsiveness, motion arrest, cyanosis, lateral eye deviation, and hemifacial convulsion. Automatism was not observed in any patients. A generalized tonic-clonic convulsion was observed in five of six patients. Ictal EEGs demonstrated that all seizures were of focal onset that evolved into a secondarily generalized seizure. The region of the onset of ictal discharge was the occipital area in three patients, parietal in one, central in one, and frontal in one, respectively. The seizure of patients with CwG is likely to be a partial seizure with secondary generalization.

Benign pediatric localization-related epilepsies. Part I. Syndromes in infancy

There is currently increasing interest in identifying and classifying pediatric benign epilepsy syndromes and recently several new syndromes have been recognized. Benign epilepsy syndromes, by definition, occur in children with normal developmental history, respond well to therapy, and remit without sequelae. The large majority of children with benign epilepsy syndromes follow a truly benign course. The concept of benign epilepsy syndromes has, however, been challenged by the minority of patients who continue to have seizures despite therapy, develop new seizures after initial remission, or exhibit neuropsychological abnormalities. Without long-term follow-up, benignity can not be truly ascertained a priori. Thus it may be preferable to use the terms possible and probable before the name of a specific syndrome until such time that the diagnosis of a definite benign syndrome is confirmed on long-term follow-up. In this review of the pediatric benign localization-related epilepsy syndromes, we address the concept of benignity and the process of diagnosis of a benign epilepsy syndrome. In addition we review the epidemiology, clinical manifestations, EEG findings, work-up, diagnostic criteria, differential diagnosis, genetics, management and prognosis of benign infantile familial convulsions, benign partial epilepsy in infancy with complex partial seizures, benign partial epilepsy in infancy with secondarily generalized seizures, benign infantile convulsions associated with mild gastroenteritis, and benign infantile focal epilepsy with midline spikes and waves during sleep.

Linkage analysis and disease models in benign familial infantile seizures: a study of 16 families

PURPOSE

Benign familial infantile seizures (BFIS) is a genetically heterogeneous condition characterized by partial seizures, onset age from 3 to 9 months, and favorable outcome. BFIS loci were identified on chromosomes 19q12-13.1 and 16p12-q12, allelic to infantile convulsions and choreathetosis. The identification of SCN2A mutations in families with only infantile seizures indicated that BFNIS and BFIS may show overlapping clinical features. Infantile seizures also were in a family with familial hemiplegic migraine and mutations in the ATP1A2 gene. We have examined the heterogeneous genetics of BFIS by means of linkage analysis.

METHODS

Sixteen families were examined. Probands underwent neurologic examination, at least one EEG recording, and, when possible, brain CT and MRI. Clinical information about relatives was collected. Families with SCN2A or ATP1A2 mutations were excluded from the study. Chromosome 16p and 19q loci were examined by linkage analysis using two models that differed in penetrance rate. Genetic heterogeneity was evaluated with both models.

RESULTS

Clinical information was available for 124 members of affected families. BFIS was diagnosed in 69 subjects. One patient without BFIS had a single febrile seizure, and another had rare episodes of paroxysmal dystonia. Evidence of linkage was obtained only for chromosome 16. Moreover, the high penetrance allowed the identification of genetic heterogeneity.

CONCLUSIONS

Our data confirm the relevance of the chromosome 16 locus in BFIS and suggest the presence of an additional locus. This study shows that the genetic model used affects the outcome of linkage analysis.

Prediction of seizures in asphyxiated neonates: correlation with continuous video-electroencephalographic monitoring

BACKGROUND

After perinatal asphyxia, predicting which infants will develop significant hypoxic-ischemic encephalopathy and neonatal seizures remains a difficult task. High-risk markers (Apgar score, acidosis, nucleated red blood cells, and resuscitation) have been used to predict neonatal seizures with varying success. The "3 strikes" of Apgar score of <5 at 5 minutes, pH <7.00, and need for intubation have been cited as having a positive predictive value of 80%. We examined whether the predictive values of these markers would be increased if early continuous electroencephalographic monitoring allowed us to accurately identify all neonatal seizures and to grade the encephalopathy.

METHOD

We recruited term infants with perinatal asphyxia. Continuous video electroencephalography was commenced soon after birth and continued for 24 to 72 hours. The abilities of high-risk markers to predict electroencephalographic seizures, background electroencephalographic activity, and Sarnat grade were examined.

RESULTS

Forty-nine infants were suitable for analysis. Electrographic seizures occurred in 11 of the 49 infants. Encephalopathy was scored by using Sarnat grade (6, severe; 18, moderate; 25, mild) and electroencephalographic findings (4 inactive, 4 major abnormalities, 16 moderate abnormalities, and 25 normal/mildly abnormal). Apgar score of <5 at 5 minutes, pH <7.0, and the need for intubation had positive predictive values for neonatal seizures of 18%, 16%, and 21%, respectively. Combining these markers gave a positive predictive value of 25% and a negative predictive value of 77%. Substituting base deficit or lactate for pH in the 3-strikes model did not improve its predictive value. Apgar score of <5 at 5 minutes, nucleated red blood cells, and a base deficit less than -15 mEq/L showed some association with Sarnat grade. Only 5-minute Apgar score was significantly associated with both Sarnat grade and electroencephalographic grade.

CONCLUSION

After perinatal asphyxia, neither the condition at birth nor the degree of metabolic acidosis reliably predict neonatal seizures.

Automated Detection of Videotaped Neonatal Seizures of Epileptic Origin

PURPOSE

This study aimed at the development of a seizure-detection system by training neural networks with quantitative motion information extracted from short video segments of neonatal seizures of the myoclonic and focal clonic types and random infant movements.

METHODS

The motion of the infants' body parts was quantified by temporal motion-strength signals extracted from video segments by motion-segmentation methods based on optical flow computation. The area of each frame occupied by the infants' moving body parts was segmented by clustering the motion parameters obtained by fitting an affine model to the pixel velocities. The motion of the infants' body parts also was quantified by temporal motion-trajectory signals extracted from video recordings by robust motion trackers based on block-motion models. These motion trackers were developed to adjust autonomously to illumination and contrast changes that may occur during the video-frame sequence. Video segments were represented by quantitative features obtained by analyzing motion-strength and motion-trajectory signals in both the time and frequency domains. Seizure recognition was performed by conventional feed-forward neural networks, quantum neural networks, and cosine radial basis function neural networks, which were trained to detect neonatal seizures of the myoclonic and focal clonic types and to distinguish them from random infant movements.

RESULTS

The computational tools and procedures developed for automated seizure detection were evaluated on a set of 240 video segments of 54 patients exhibiting myoclonic seizures (80 segments), focal clonic seizures (80 segments), and random infant movements (80 segments). Regardless of the decision scheme used for interpreting the responses of the trained neural networks, all the neural network models exhibited sensitivity and specificity>90%. For one of the decision schemes proposed for interpreting the responses of the trained neural networks, the majority of the trained neural-network models exhibited sensitivity>90% and specificity>95%. In particular, cosine radial basis function neural networks achieved the performance targets of this phase of the project (i.e., sensitivity>95% and specificity>95%).

CONCLUSIONS

The best among the motion segmentation and tracking methods developed in this study produced quantitative features that constitute a reliable basis for detecting neonatal seizures. The performance targets of this phase of the project were achieved by combining the quantitative features obtained by analyzing motion-strength signals with those produced by analyzing motion-trajectory signals. The computational procedures and tools developed in this study to perform off-line analysis of short video segments will be used in the next phase of this project, which involves the integration of these procedures and tools into a system that can process and analyze long video recordings of infants monitored for seizures in real time.

Early pattern of epilepsy in the ring chromosome 20 syndrome

PURPOSE

The characteristics of epilepsy in ring chromosome 20 have been reported in adolescents and adults. The mode of onset most often remains imprecise. To clarify this onset period, we studied the early-onset features in our personal series and in the reported pediatric cases.

METHODS

Our series comprises one child with an onset of epilepsy in the neonatal period and five others with an onset before age 8 years. The cases in the literature with an epilepsy onset before 8 years also were reviewed.

RESULTS

Seizures in the neonatal period were described as motor seizures. Our personal patient with a neonatal onset had severe psychomotor delay. In both infancy and early childhood, the EEG showed no interictal frontal localization of the anomalies, and no long-lasting seizure was recorded. Seizures with terror and hallucinations usually appeared from about age 4 years. It is not before the age of 8 years that the usual interictal EEG pattern appeared of rhythmic theta slow-waves activity with spikes predominating in frontal areas described in adolescence and adulthood. The interictal EEG showed 1- to 2-Hz delta slow waves and spike-and-waves predominating in frontal areas, but no physiologic activity.

CONCLUSIONS

In ring 20 chromosome, specific epilepsy features are lacking in the neonate, but the whole phenotype shows a more severe expression in terms of mental delay. The characteristic frontal EEG pattern and ictal terror do not appear before age 4 to 5 years.

Detection of Pseudosinusoidal Epileptic Seizure Segments in the Neonatal EEG by Cascading a Rule-Based Algorithm With a Neural Network

This paper presents an approach to detect epileptic seizure segments in the neonatal electroencephalogram (EEG) by characterizing the spectral features of the EEG waveform using a rule-based algorithm cascaded with a neural network. A rule-based algorithm screens out short segments of pseudosinusoidal EEG patterns as epileptic based on features in the power spectrum. The output of the rule-based algorithm is used to train and compare the performance of conventional feedforward neural networks and quantum neural networks. The results indicate that the trained neural networks, cascaded with the rule-based algorithm, improved the performance of the rule-based algorithm acting by itself. The evaluation of the proposed cascaded scheme for the detection of pseudosinusoidal seizure segments reveals its potential as a building block of the automated seizure detection system under development.

Time-frequency analysis of heart rate variability for neonatal seizure detection

The ECG has been much neglected in automatic seizure detection in the newborn. Changes in heart rate and ECG rhythm are often found in animal and adult patients with seizure. However, little is known about heart rate variability (HRV) changes in human neonate during seizure. Results of ongoing time-frequency research are presented here with the aim to compare the performance of various time-frequency distributions (TFDs) when applied to HRV time series for non-seizure and seizure newborns. The TFDs studied are the Wigner-Ville (WVD), the Spectrogram (SP), the Choi-Williams (CWD) and the Modified B (MBD) distributions. Based on our preliminary results, our current conclusion is MBD outperforms other TFDs in terms of time-frequency resolution, cross-terms suppression and to represent the newborn HRV signals of non-seizure and seizure which are closely-spaced components in the time-frequency domain.

'Benign focal epilepsy in infancy with vertex spikes and waves during sleep'. Delineation of the syndrome and recalling as 'benign infantile focal epilepsy with midline spikes and waves during sleep' (BIMSE)

PURPOSE

To better delineate the electroclinical features of infants who presented with focal seizures and typical midline sleep EEG abnormalities with a benign outcome. We discuss the significance of the typical EEG marker in non-epileptic patients.

METHODS

Patients were selected from a group of epileptic subjects with seizure onset less than 3 years we observed from 1st November 1990 and 31st December 2003. Inclusion criteria were the presence of typical sleep EEG marker and focal seizures with benign outcome. Cases with less than 18 month follow-up period were excluded from this study.

RESULTS

There were 19 patients (12 males, 7 females). Pre-, peri- and post-natal personal history was negative in all patients. Psychomotor development was normal, both before and after seizure onset. Neuroradiological investigations gave normal results. Seizure manifestations were typical, characterized by cyanosis, staring and rare lateralizing signs, of short duration. Age at onset was comprised between 4 and 30 months. The typical EEG marker, a spike followed by a bell-shaped slow-wave, localized in the midline regions, was present in all subjects only during sleep. All had a favorable outcome and the overwhelming majority of the patients were not treated.

CONCLUSIONS

Our patients have an homogeneous electroclinical picture to constitute a new epileptic syndrome not included in the ILAE classification. We propose to call it 'benign focal epilepsy in infancy with midline spikes and waves during sleep' (BIMSE).

A Novel SCN2A Mutation in Family with Benign Familial Infantile Seizures

Benign familial infantile seizures (BFIS) is a clinical entity characterized by focal seizures with or without secondary generalization, occurring mostly in clusters, and usually first seen between 4 and 8 months of life. Psychomotor development is normal, and seizures usually resolve within the first year of life. BFIS is a genetically heterogenous condition with loci mapped to chromosomes 19 and 16. Mutations in the voltage-gated sodium channel alpha2 subunit (SCN2A) gene on chromosome 2 were recently identified in families affected by neonatal and infantile seizures (benign familial neonatal-infantile seizures, BFNIS) with typical onset before 4 months of life. The identification of SCN2A mutations in families with only infantile seizures indicated that BFNIS and BFIS show overlapping clinical features. We report a pedigree showing three affected individuals over three generations. All subjects experienced clusters of focal seizures with or without secondary generalization and onset between 4 and 12 months of life. Response to antiepileptic drugs and the outcome were good. No subjects had other forms of epilepsy later in the life. Neonatal or febrile seizures did not occur in the family. Genetic study in this family revealed a novel heterozygous mutation c.3003 T>A in the SCN2A gene. Comparative analysis of different sodium channel alpha subunits indicates that the mutated residue is highly conserved throughout the evolution, suggesting an important functional role for this domain. Additional families with the infantile form of benign familial seizures should be investigated to corroborate that BFIS and BFNIS may share the same genetic abnormality.

Clinical features of benign infantile convulsions: Familial and sporadic cases

The authors describe the so-called benign convulsions of infancy and confirm the existence of benign nonfamilial infantile convulsions during the first 2 years of life and their benign course. The authors evaluated 58 patients: 17 subjects had a family history of benign epilepsy, and 41 did not. No clinical differences were observed between the two groups.

Computerized Motion Analysis of Videotaped Neonatal Seizures of Epileptic Origin

PURPOSE

The main objective of this research is the development of automated video processing and analysis procedures aimed at the recognition and characterization of the types of neonatal seizures. The long-term goal of this research is the integration of these computational procedures into the development of a stand-alone automated system that could be used as a supplement in the neonatal intensive care unit (NICU) to provide 24-h per day noninvasive monitoring of infants at risk for seizures.

METHODS

We developed and evaluated a variety of computational tools and procedures that may be used to carry out the three essential tasks involved in the development of a seizure recognition and characterization system: the extraction of quantitative motion information from video recordings of neonatal seizures in the form of motion-strength and motor-activity signals, the selection of quantitative features that convey some unique behavioral characteristics of neonatal seizures, and the training of artificial neural networks to distinguish neonatal seizures from random infant behaviors and to differentiate between myoclonic and focal clonic seizures.

RESULTS

The methods were tested on a set of 240 video recordings of 43 patients exhibiting myoclonic seizures (80 cases), focal clonic seizures (80 cases), and random infant movements (80 cases). The outcome of the experiments verified that optical- flow methods are promising computational tools for quantifying neonatal seizures from video recordings in the form of motion-strength signals. The experimental results also verified that the robust motion trackers developed in this study outperformed considerably the motion trackers based on predictive block matching in terms of both reliability and accuracy. The quantitative features selected from motion-strength and motor-activity signals constitute a satisfactory representation of neonatal seizures and random infant movements and seem to be complementary. Such features lead to trained neural networks that exhibit performance levels exceeding the initial goals of this study, the sensitivity goal being >or=80% and the specificity goal being >or=90%.

CONCLUSIONS

The outcome of this experimental study provides strong evidence that it is feasible to develop an automated system for the recognition and characterization of the types of neonatal seizures based on video recordings. This will be accomplished by enhancing the accuracy and improving the reliability of the computational tools and methods developed during the course of the study outlined here.

Migrating partial seizures in infancy: expanding the phenotype of a rare seizure syndrome

PURPOSE

The constellation of early-onset, unprovoked, alternating electroclinical seizures and neurodevelopmental devastation was first described by Coppola et al. We report six new patients and the prospect of a more optimistic developmental outcome.

METHODS

Retrospective chart reviews were performed on six infants evaluated at the Children's Hospital of Philadelphia (five patients) and at Hershey Medical Center (one patient) who had electroclinically alternating seizures before age 6 months of age. Electroclinical characteristics and long-term follow-up were recorded.

RESULTS

All had unprovoked, early-onset (range, 1 day to 3 months; mean, 25 days) intractable electroclinical seizures that alternated between the two hemispheres. Each patient underwent comprehensive brain imaging and neurometabolic workups, which were unrevealing. In all patients, subsequently intractable partial seizures developed and often a progressive decline of head circumference percentile occurred with age. Three demonstrated severe developmental delay and hypotonia. All survived, and 7-year follow-up on one patient was quite favorable.

CONCLUSIONS

Our patients satisfied the seven major diagnostic criteria first described by Coppola et al. The prognosis of this rare neonatal-onset epilepsy syndrome from the original description and subsequent case reports was very poor, with 28% mortality, and the majority of survivors were profoundly retarded and nonambulatory. Our patient data validate the diagnostic criteria of this syndrome and further quantify a previously described observation of progressive decline of head circumference percentiles with age. Our data also suggest that the prognosis of this syndrome, although poor, is not as uniformly grim as the cases reported previously in the literature.

Benign familial infantile seizures

In recent years, numerous publications have reported localization-related epilepsy with onset during early infancy, idiopathic etiology and favourable outcome. In 1963, Fukuyama reported cases occurring in the first 2 years of life characterized by partial seizures, absence of etiologic factors and benign outcome. Watanabe studied the localization and semiology of seizures. Later Vigevano and coworkers directed attention to the presence of cases with a family history of convulsions with benign outcome during infancy, with autosomal dominant inheritance, suggesting the term 'benign infantile familial convulsions' (BIFC). Similar cases have been described by several authors confirming that this is a new syndrome. In the last ILAE proposal of Classification of Epilepsy Syndromes this entity is called benign familial infantile seizures. Benign infantile seizures are divided now into familial and non-familial forms, although the two forms can overlap. Genetic studies led to the identification of a marker on chromosome 19. This was not confirmed by later studies, and genetic heterogeneity was hypothesized. Recently Malacarne studying eight Italian families with BIFC mapped a novel locus on chromosome 2. In 1997, Szepetowski described the association between BIFC and a later occurrence of paroxysmal choreoathetosis. Following the identification of a specific marker on chromosome 16, this entity constitutes a variant of the familial forms, called infantile convulsions and choreoathetosis. The age at onset, the semeiology of the seizures and the genetic data distinguish the benign familial infantile seizures from the benign familial neonatal seizures. Recent data suggested that this type of epilepsy would be due to a channellopathy.

Midazolam in neonatal seizures with no response to phenobarbital

The outcome of 45 neonates with EEG-confirmed seizures (ESz) was analyzed with regard to treatment. ESz persisted in 17 of 32 neonates receiving phenobarbital/phenytoin (13 had a poor outcome, 4 died). In contrast, ESz were rapidly controlled in 13 of 13 nonresponders to phenobarbital/phenytoin treated with midazolam (4 had poor outcome, 2 died). Nonresponders to phenobarbital/phenytoin had a significantly worse outcome than responders did. Midazolam effectively controlled ESz in nonresponders to phenobarbital/phenytoin and correlated with significantly improved long-term neurodevelopment.

Neonatal seizure monitoring using non-linear EEG analysis

Birth asphyxia is a major concern in neonatal care. Epileptic seizures are associated with subsequent neurodevelopmental deficits. Eighty-five percent of these seizures remain subclinical and therefore an on-line monitoring device is needed. In an earlier study we showed that the synchronization likelihood was able to distinguish between neonatal EEG epochs with and without epileptic seizures. In this study we investigated whether the synchronization likelihood can be used in complete EEGs, without artifact removal. Twenty complete EEGs from 20 neonatal patients were studied. The synchronization likelihood was calculated and correlated with the visual scoring done by 3 experts. In addition, we determined the influence of seizure length on the likelihood of detection. Using the raw unfiltered EEG data we found a sensitivity of 65.9 % and a specificity of 89.8 % for the detection of seizure activity in each epoch. In addition, the seizure detection rate was 100 % when the seizures lasted for 100 seconds or more. The synchronization likelihood seems to be a useful tool in the automatic monitoring of epileptic seizures in infants on the neonatal ward. Due to the retrospective nature of our study, the consequences for clinical intervention cannot yet be determined and prospective studies are needed. Therefore, we will conduct a prospective study on the neonatal intensive care unit with a recently developed on-line version of the synchronization likelihood analysis.

Risk factors for developing epilepsy after neonatal seizures

The objective of this study was to determine clinical and polysomnographic risk factors that might be early predictors for the development of postnatal epilepsy in a cohort of infants with seizures. The study sample included 158 infants who presented two or more clinically proven seizures. Gestational, perinatal, and polysomnographic data were obtained retrospectively. A questionnaire designed to detect patients with epilepsy in the community was prospectively given to all families, and the positive cases were reassessed for confirmation of epilepsy. Epilepsy rate after neonatal seizures was 22% within 12 months of follow-up and 33.8% within 48 months. Transient electrolytic imbalance and perinatal asphyxia were the most frequent etiologic factors associated with neonatal seizures. More than one seizure type was detected in 17.3% (n = 22) of cases and strongly associated with central nervous system infection (relative risk [RR] = 3.02, 95% confidence interval [CI] = 1.24-7.40, P = 0.02). Focal symptomatic epilepsy (P = 0.01) and syndromes not determined as focal or generalized (P = 0.04) were also associated with central nervous system infection. Abnormal polysomnographic recordings (P = 0.09) and abnormal neurologic examination on discharge (P < 0.01) were correlated with postnatal epilepsy. No differences were observed between premature and term infants concerning outcome. Neonatal seizures were associated with a high incidence of postnatal epilepsy in the cohort, including epileptic syndromes with catastrophic evolution. Abnormal neurologic examination on discharge was a good predictor of an unfavorable outcome and abnormal polysomnographic recording a moderate predictor.

Neonatal seizures and limb malformations associated with liver-specific complex IV respiratory chain deficiency

An eight-week-old infant, the fourth child of consanguineous parents presented with intractable neonatal seizures. The mother had two previous miscarriages. The infant initially presented on day one with multifocal myoclonus, complex partial and generalised tonic-clonic seizures. On examination, there were dysmorphic hands and feet, with absent nails and terminal phalanges of the fingers and toes, hepatomegaly, marked axial and peripheral hypotonia and severe global developmental delay. Ophthalmological assessment showed 'salt and pepper' pigmentary retinopathy. The urinary organic acid profile revealed a marked increase in tricarboxylic acid metabolites. Urinary phosphate reabsorption was reduced at 84%. Type I fibre atrophy was seen on muscle histology, and a cytochrome c oxidase deficiency was found only on enzymology of liver tissue. Limb malformations associated with respiratory chain defects have rarely been reported. To our knowledge, this child has the most severe limb anomaly associated with a tissue-specific complex IV respiratory chain defect.

A novel KCNQ2 K+ channel mutation in benign neonatal convulsions and centrotemporal spikes

Patients with benign familial neonatal convulsions (BFNC) may develop various epilepsies or epilepsy-associated EEG traits. A heterozygous 1-base pair deletion (2043DeltaT) in the KCNQ2 gene encoding for K+ channel subunits was found in a patient with BFNC who showed centrotemporal spikes at age 3 years. Electrophysiologic studies showed that mutant K+ channel subunits failed to give rise to functional homomeric channels or exert dominant-negative effects when expressed with KCNQ2/KCNQ3 subunits.

Persistent hyperinsulinemic hypoglycaemia followed as benign infantile convulsion

An 18-month-old boy developed seizures at 3 months of age. He developed normally and, his EEG and brain CT revealed no abnormal findings. The blood sugar level was normal at that time, thus he was diagnosed as having benign infantile convulsion. At 7 months of age seizures reappeared, and hypoglycaemia associated with hyperinsulinism was observed during the seizures. With conservative therapy his blood sugar level was well controlled and he had no further seizures. Hypoglycaemic seizures are sometimes misdiagnosed as epilepsy. We have to pay attention to hyperinsulinemic hypoglycaemia when we see seizures with normal EEG even in infants.

Origin and timing of brain lesions in term infants with neonatal encephalopathy

BACKGROUND

The role of intrapartum asphyxia in neonatal encephalopathy and seizures in term infants is not clear, and antenatal factors are being implicated in the causal pathway for these disorders. However, there is no evidence that brain damage occurs before birth. We aimed to test the hypothesis that neonatal encephalopathy, early neonatal seizures, or both result from early antenatal insults.

METHODS

We used brain MRI or post-mortem examination in 351 fullterm infants with neonatal encephalopathy, early seizures, or both to distinguish between lesions acquired antenatally and those that developed in the intrapartum and early post-partum period. We excluded infants with major congenital malformations or obvious chromosomal disorders. Infants were divided into two groups: those with neonatal encephalopathy (with or without seizures), and evidence of perinatal asphyxia (group 1); and those without other evidence of encephalopathy, but who presented with seizures within 3 days of birth (group 2).

FINDINGS

Brain images showed evidence of an acute insult without established injury or atrophy in 197 (80%) of infants in group 1, MRI showed evidence of established injury in only 2 infants (<1%), although tiny foci of established white matter gliosis, in addition to acute injury, were seen in three of 21 on post-mortem examination. In group 2, acute focal damage was noted in 62 (69%) of infants. Two (3%) also had evidence of antenatal injury.

INTERPRETATION

Although our results cannot exclude the possibility that antenatal or genetic factors might predispose some infants to perinatal brain injury, our data strongly suggest that events in the immediate perinatal period are most important in neonatal brain injury.