Amplitude-integrated electroencephalography: a tool for monitoring silent seizures in neonates

Monitoring the frequency and duration of epileptic seizures: "A journey through time"

Seizure monitoring plays an undeniably important role in diagnosing and managing epileptic seizures. Establishing the frequency and duration of seizures is crucial for assessing the burden of this chronic neurological disease, selecting treatment methods, determining how frequently these methods are applied, and informing short and long-term therapeutic decisions. Over the years, seizure monitoring tools and methods have evolved and become increasingly sophisticated; from home seizure diaries to EEG monitoring to cutting-edge responsive neurostimulation systems. In this article, the various methods of seizure monitoring are reviewed.

Effect of Phenobarbitone on Amplitude-Integrated Electroencephalography in Neonates with Hypoxic-Ischemic Encephalopathy during Hypothermia

BACKGROUND

Phenobarbitone induces suppression of cerebral electrical activity on amplitude-integrated electroencephalography (aEEG) in neonates with hypoxic-ischemic encephalopathy (HIE); however, its effect during therapeutic hypothermia (TH) has not been well characterized.

OBJECTIVE

To evaluate the effect of phenobarbitone on aEEG in neonates with HIE undergoing TH.

METHODS

Thirty-five neonates born at ≥350 weeks gestational age (GA), who received phenobarbitone as first-line antiepileptic drug during TH for ≥ Sarnat stage II HIE with aEEG recordings were retrospectively studied. Background pattern, upper and lower margin voltages were characterized for a 30-min period before and 30-60 min after phenobarbitone administration. Primary outcome was presence of severely abnormal aEEG pattern after phenobarbitone administration.

RESULTS

Mean (±SD) GA and median birth weight were 38.2 ± 1.9 weeks and 3.1 (2.5-3.9) kg, respectively. Phenobarbitone (10-20 mg/kg), administered at median age 16.8 h, was associated with background pattern worsening in 19/29 (65.5%) cases. Severe background patterns were more prevalent in post- versus pre-phenobarbitone tracings (21/29 [72%] vs. 11/29 [38%]; p = 0.01). Presence of severe pattern versus either continuous normal voltage or discontinuous normal voltage pattern post-phenobarbitone, (20/25 [80%] vs. 3/8 [38%]; p = 0.036) was associated with death or moderate-to-severe injury on MRI brain. Median time to trace recovery, when measurable, was 4 h (45 min-72 h).

CONCLUSIONS

Phenobarbitone induces significant suppression on aEEG in infants with HIE undergoing TH. Development of severe aEEG background patterns after phenobarbitone may unmask a population at greater risk of abnormal outcome.

Evaluation of cerebral function in high risk term infants by using a scoring system based on aEEG

OBJECTIVE

To investigate the relationship between the amplitude integrated electroencephalogram (aEEG) findings and neurodevelopmental outcomes of high-risk term infants with neurological disorders and develop a scoring system for assessment of the cerebral function.

METHODS

The neurological outcome was assessed at 12- to 18-month of age by using the Bayley Scales of Infant Development II. Valuation of the classification of aEEG background pattern, epileptic electrical activity and sleep-weak cycle (SWC) was conducted to develop a new scoring system. The correlation between the summarized scores and outcome analyzed, and the predictive test of the score system was calculated.

RESULTS

A total of 81 infants (39 with asphyxia, 10 with hypoglycemia, 15 with acute bacterial meningoencephalitis, 10 with hyperbilirubinemia and 7 with inborn errors of metabolism) enrolled in the study. The neurological outcome was positive correlated with the background pattern, electrical activity, SWC and summarized scores of the score system based on aEEG. The scoring system has a higher r value, specificity, PPV and lower sensitivity compared with the separate entities such as background pattern, seizures and SWC. The area under the receiver operator characteristics (ROC) curve for predicting outcome by the scoring system was 0.93 (95% CI, 0.878-0.990), with the cut-off value of 7.5.

CONCLUSIONS

aEEG maybe a potential tool for monitoring cerebral function in term infants at risk for poor neurodevelopmental outcomes. Our proposed scoring system based on aEEG could quantify information provided by aEEG objectively and could be a good predictor for neurological outcome.

Clinical management of seizures in newborns : diagnosis and treatment

Neonatal seizures can be classified as tonic, clonic, myoclonic, and subtle. A clinical diagnosis is not easy as seizures are usually subtle in neonates. In the majority of newborn infants seizures are subclinical. On the other hand, not all abnormal movements identified by clinicians as clinical seizures are accompanied by electroencephalographic seizure discharges in the EEG. Precise incidence is difficult to delineate and depends on study population and criteria used for diagnosis of seizures. Controversy exists as to whether neonatal seizures themselves cause damage to the developing brain, or if the damage is primarily due to the underlying cause of the seizures. As a result of this controversy there is ongoing discussion whether all seizures (both clinical and subclinical) should be treated. In addition, when (sub)clinical seizures are treated, there is no consensus about the most appropriate treatment for neonatal seizures and how to assess the efficacy of treatment. Current therapeutic options to treat neonatal seizures (i.e. primarily first-generation antiepileptic drugs [AEDs]) are relatively ineffective. In practice, phenobarbital still remains the drug of first choice for EEG confirmed or suspected seizures. Benzodiazepines are also used in (phenobarbital) refractory cases. Several (small) studies indicate that lidocaine is an effective drug for refractory seizures as second- or third-line treatment. Although data are scarce, some AEDs with a wide acceptance in adult and pediatric neurology practice are being used to treat neonatal seizures (i.e. second-generation AEDs). These drugs are chemically different from all first-generation AEDs and they have an effect on other pathways so they provide new pharmacological targets for controlling seizures in newborns. Levetiracetam, topiramate, felbamate, bumetanide, lamotrigine and vigabatrin are examples of these second-generation AEDs. There is an urgent need for prospective, randomized, controlled trials to assess the efficacy and safety of these second-generation AEDs in neonates. The aim of this review is to provide an overview of the current knowledge of diagnosis, the effect on brain injury, and the treatment of neonatal seizures.

An observational study exploring amplitude-integrated electroencephalogram and spectral edge frequency during paediatric anaesthesia

Processed electroencephalography is used in adults to guide anaesthesia, but the algorithms used may not apply to infants. Knowledge of infants' electroencephalogram (EEG) responses to anaesthetics is fragmentary. An earlier pilot study suggested amplitude-integrated EEG (aEEG) may be a useful measure of anaesthetic effect. The aim of this study was to determine how aEEG changes between awake and anaesthetised children of varying ages and to compare the response to that seen with Spectral Edge Frequency 90% (SEF90). A prospective observational study of children receiving a general anaesthetic was conducted. Anaesthetic regimen remained at the discretion of the treating anaesthetist. EEG data were collected using the BrainZ ReBrim(TM) monitor using forehead and biparietal montages. SEF90 and aEEG were compared across age groups, EEG montage and between awake and anaesthetised states. A total of 178 children (aged 24 days to 14 years) were recruited. All aEEGs were greater during anaesthesia compared to when awake and this difference varied with age. Only children older than two years showed lower SEF90 while anaesthetised compared to when awake. SEF90 from children younger than six months was higher during anaesthesia compared to when awake. Analysis of parietal and forehead EEG montages revealed age-related differences. These findings suggest that SEF90 and aEEG can discriminate between awake and anaesthetised states in older children. In younger children aEEG changes are less pronounced and SEF90 either cannot discriminate between states or responds paradoxically. The aEEG may be marginally better than other EEG parameters in measuring anaesthetic depth in children.

Assessing pain in preterm infants in the neonatal intensive care unit: moving to a 'brain-oriented' approach

Preterm infants in the neonatal intensive care unit undergo repeated exposure to procedural and ongoing pain. Early and long-term changes in pain processing, stress-response systems and development may result from cumulative early pain exposure. So that appropriate treatment can be given, accurate assessment of pain is vital, but is also complex because these infants' responses may differ from those of full-term infants. A variety of uni- and multidimensional assessment tools are available; however, many have incomplete psychometric testing and may not incorporate developmentally important cues. Near-infrared spectroscopy and/or EEG techniques that measure neonatal pain responses at a cortical level offer new opportunities to validate neonatal pain assessment tools.

Neonatal seizure recognition--comparative study of continuous-amplitude integrated EEG versus short conventional EEG recordings

OBJECTIVES

This study aims to detect seizures by amplitude-integrated electroencephalography (EEG) (aEEG) as compared with conventional EEG (cEEG) by clinicians with different levels of expertise.

METHODS

Simultaneous 10 min aEEG/cEEG recordings were time-locked and assessed for seizure activity. aEEG was assessed by a neonatologist, a fellow and a medical student and cEEG by two child neurologists and a neonatologist.

RESULTS

A total of 265 paired epochs from 38 simultaneous recording were assessed. Forty-one seizure episodes were diagnosed in 31 epochs in the cEEG recordings of 10 infants. Sensitivity and specificity ranged from 68% to 84% and from 71% to 84%, respectively, per detection of epochs with seizures and from 71% to 84% and from 36% to 96% per detection of individual seizures. No agreement was found between the observations of the student, and those of the fellow or neonatologist. Substantial agreement was found between the fellow and neonatologist. Before cEEG was commenced, seizures were detected by aEEG in 22 infants.

CONCLUSIONS

aEEG has high sensitivity and specificity in the hands of experienced users. Inexperienced new users may have a high rate of misdiagnosed seizures. Early recording of high-risk infants can help in the early diagnosis and treatment of seizures.

SIGNIFICANCE

Diagnosis and treatment of seizures in aEEG should be carried out by experienced users and should be supplemented with cEEG when available.

Amplitude-integrated electroencephalography in the NICU: frequent artifacts in premature infants may limit its utility as a monitoring device

BACKGROUND

Amplitude-integrated electroencephalography has become an important tool for assessing cortical status noninvasively. Newer units have the additional feature of visualizing the raw electroencephalogram, which has resulted in the identification of frequent artifacts.

OBJECTIVE

To highlight the problem of artifacts and to introduce caution when using the amplitude-integrated electroencephalography technique to assess cortical function in the premature population.

METHODS

Ten premature infants were evaluated. Compressed amplitude-integrated electroencephalography recordings were made by using a pair of standard electroencephalogram electrodes attached to the scalp frontotemporal areas. Impedance was maintained at <10 kOmega. Continuous amplitude-integrated electroencephalography recordings were performed for at least 60 minutes on several occasions in the first month. Artifacts were identified as follows: large amplitude difference between the wave peaks and troughs, a jagged appearance to wave peaks and troughs, and large deflections of the overall tracing in either a positive or negative direction from baseline.

RESULTS

Forty-eight amplitude-integrated electroencephalography recordings were reviewed. Of 1683 total segments analyzed, 529 (31.4%) were categorized as normal brain waves, 1013 (60.2%) as artifacts, and 142 (8.4%) as indeterminate. Generally, when the amplitude-integrated electroencephalography tracing is of modest amplitude, normal brain waves predominated, whereas with upward spikes in amplitude the accompanying raw electroencephalogram was classified as artifact.

CONCLUSIONS

Artifacts contribute substantially to the amplitude-integrated electroencephalography tracing, rendering it problematic as an assessment tool in premature infants. Artifacts may be influenced by muscle activity, electrode positioning, and application techniques. Caution is recommended when using amplitude-integrated electroencephalography as an assessment tool in this population.

Influence of antiepileptic drugs on amplitude-integrated electroencephalography

Amplitude-integrated electroencephalography monitors different aspects of cerebral function in neonatal intensive care units. To examine the influence of various antiepileptic drugs on the background patterns and voltage of amplitude-integrated electroencephalography recordings, we screened 191 tracing segments originating from 77 newborns treated with antiepileptic drugs. The influences of lorazepam, diazepam, and phenobarbital given as bolus doses, and midazolam and lidocaine given in continuous infusion, were examined. Voltages and patterns before and after drug administration were assessed. Time taken to return to previous voltage was assessed in clinically significant cases. Chi-square and Wilcoxon tests were used for statistical analyses. Significant changes were evident after lorazepam, diazepam, phenobarbital, and midazolam administration. Depending on the voltage-assessment method, a clinically significant depression of the lower voltage border occurred in 25-35% of tracings, and of the upper border in 16-32%. In 12% of tracings, change to a worse pattern was noted. The average time for recovery to predrug administration voltage was 2.5 hours (range, 15 minutes to 15 hours). Changes in amplitude-integrated electroencephalography tracings occur after antiepileptic drugs are infused. These changes include deterioration of pattern and depression of voltage that may persist for a considerable period. The potential depressing effects of these drugs should be taken into consideration when assessing amplitude-integrated electroencephalogram tracings.

Neonatal seizures: dilemmas in workup and management

There is a pressing need for consistent, evidence-based guidelines in the management of neonatal seizures by pediatric neurologists and neonatologists. Israeli pediatric neurologists and neonatologists completed a 20-item, self-administered questionnaire on choices of antiepileptic drugs, treatment of intractable neonatal seizures (unremitting seizures after 3 medications), treatment duration, and recommended workup. The responding 36/55 (65%) neurologists and 66/112 (59%) neonatologists made similar antiepileptic drug choices (phenobarbital as first line, phenytoin as second line, and benzodiazepines as third line). Antiepileptic treatment duration was similar for both groups, but varied considerably within them (range, 1-52 weeks). Neurologists tended to recommend longer treatment for seizures secondary to asphyxia or hemorrhage. Neurologists and neonatologists recommended different antiepileptic drugs for intractable neonatal seizures: valproic acid and topiramate by neurologists, vs lidocaine and benzodiazepines by neonatologists (P = 0.0023). Fewer neurologists recommended continuous electroencephalography monitoring after asphyxia than neonatologists (40% vs 70.5%, P = 0.013). These responses reflect both similarities and inconsistencies of the two groups in diagnosing and treating neonatal seizures. Our findings call for controlled clinical trials to establish protocols for (1) diagnosing neonatal seizures, (2) studying the efficacy and safety of new-generation antiepileptic drugs, and (3) determining optimal duration of drug administration.

Accuracy of bedside electroencephalographic monitoring in comparison with simultaneous continuous conventional electroencephalography for seizure detection in term infants

OBJECTIVE

Our goals were to compare (1) single-channel amplitude-integrated electroencephalography alone, (2) 2-channel amplitude-integrated electroencephalography alone, and (3) amplitude-integrated electroencephalography plus 2-channel electroencephalography with simultaneous continuous conventional electroencephalography for seizure detection in term infants to check the accuracy of limited channels and compare the different modalities of bedside electroencephalography monitoring.

METHODS

Infants referred to a tertiary center with clinical seizures underwent simultaneous continuous conventional electroencephalography and 2-channel (C3-P3 and C4-P4) bedside monitoring. Off-line analysis of the continuous conventional electroencephalographic results was performed independently by 2 neurologists. Two experienced neonatal readers reviewed results obtained with amplitude-integrated electroencephalography and 2-channel electroencephalography combined and single-channel and 2-channel amplitude-integrated electroencephalography. All readings were performed independently and then compared.

RESULTS

Twenty-one term newborns were monitored. Seizures were detected in 7 patients who had up to 12 electrical seizures, with 1 infant in status epilepticus. Seizures were identified correctly in 6 of 7 patients with amplitude-integrated electroencephalography plus 2-channel electroencephalography. The missed infant had an isolated 12-second seizure. With amplitude-integrated electroencephalography plus 2-channel electroencephalography, 31 of 41 non-status epilepticus seizures were correctly identified (sensitivity, 76%; specificity, 78%; positive predictive value, 78%; negative predictive value, 78%), with a substantial level of interrater agreement. The seizures missed were predominantly slow sharp waves of occipital origin from a single patient (7 of 10 seizures). Nine false-positive results were obtained in 351 hours of recording (1 false-positive result per 39 hours). These were thought to be related to muscle, electrode, and patting artifacts. Use of amplitude-integrated electroencephalography alone (1 or 2 channel) provided low sensitivity (27%-56%) and low interobserver agreement.

CONCLUSIONS

Limited-channel bedside electroencephalography combining amplitude-integrated electroencephalography with 2-channel electroencephalography, interpreted by experienced neonatal readers, detected the majority of electrical seizures in at-risk newborn infants.