Interobserver Reliability of Video Recording in the Diagnosis of Nocturnal Frontal Lobe Seizures

The role of stand-alone videos in the diagnosis of seizures

The diagnosis of seizures and seizure mimics relies primarily on the history, but history has well-known limitations. Video recordings of events are a powerful extension of the history because they allow neurologists to view the events in question. In addition, they are readily available in situation, whereas the gold standard of EEG-video is not. That includes underserved or rural areas, and events that are too infrequent to be captured during a few days of EEG-video monitoring. Brief cellphone videos have been shown to be valuable to suggest or guide the correct diagnosis.

Commonalities and Differences in NREM Parasomnias and Sleep-Related Epilepsy: Is There a Continuum Between the Two Conditions?

Introduction: Differential diagnosis between disorders of arousal (DoA) and sleep-related hypermotor epilepsy (SHE) often represents a clinical challenge. The two conditions may be indistinguishable from a semiological point of view and the scalp video-polysomnography is often uninformative. Both disorders are associated with variable hypermotor manifestations ranging from major events to fragments of a hierarchical continuum of increasing intensity, complexity, and duration. Given their semiological overlap we decided to explore the sleep texture of DoA and SHE seeking for similarities and differences.

Methods: We analyzed sleep macrostructure and CAP (cyclic alternating pattern) parameters in a cohort of 35 adult DoA patients, 40 SHE patients and 24 healthy sleepers, all recorded and scored in the same sleep laboratory. Nocturnal behavioral manifestations included minor motor events, paroxysmal arousals and major attacks in SHE, and simple, rising, or complex arousal movements in DoA.

Results: Compared to healthy controls, DoA and SHE showed similar amounts of sleep efficiency, light sleep, deep sleep, REM sleep, CAP subtypes. Both groups also showed slow wave sleep fragmentation and an increased representation of stage N3 in the second part of the night. The only discriminating elements between the two conditions regarded sleep length (more reduced in DoA) and sleep instability (more elevated in SHE). In DoA recordings, all motor episodes arose from NREM sleep: 37% during light NREM stages and 63% during stage N3 (simple arousal movements: 94%). In SHE recordings, 57% of major attacks occurred during stage N3.

Conclusions: So far, emphasis has been placed on the differentiation of sleep-related epilepsy and NREM arousal disorders. However, the impressive analogies between DoA and SHE suggest the existence of an underestimated continuum across the conditions, linked by increased levels of sleep instability, higher amounts of slow wave sleep and NREM/REM sleep imbalance. Sleep texture is extremely similar in the two conditions, although CAP metrics disclose quantitative differences. In particular, SHE patients show a higher arousal instability compared to DoA subjects. Given their clinical and epidemiological overlap, a common genetic background is also hypothesized. In such a perspective, we suggest that the consolidated dichotomy DoA vs. SHE should be reappraised.

Rhythmic movements in sleep disorders and in epileptic seizures during sleep

Rhythmic movements during sleep may occur in the context of physiological sleep-related motor activity or be part of sleep-related movement disorders such as bruxism, periodic limb movement disorder, restless legs syndrome, and sleep-related rhythmic movement disorder. They may also characterize some frontal or temporal nocturnal seizures of sleep-related hypermotor epilepsy, or be considered as part of NREM parasomnias, especially sleepwalking, sexsomnia or sleep-related eating disorder, or REM-related behaviors such as REM behavior disorder or complex movements associated with pediatric narcolepsy type I.

In most cases rhythmic movements, especially when complex and long in duration, are related to different levels of arousal from sleep with recurrence of ancestral motor sequences promoted by central pattern generators in the brainstem, generally activated by the arousal process.

A differential diagnosis between physiological events and pathological movement disorders, and between the latter and sleep-related epilepsy is critical to provide optimal treatment and an accurate prognosis. Specific treatment options for the aforementioned disorders are beyond the scope of this article.

Polysomnographic features differentiating disorder of arousals from sleep-related hypermotor epilepsy

Objective

The differential diagnosis between sleep-related hypermotor epilepsy (SHE) and disorders of arousal (DOA) may be challenging. We analyzed the stage and the relative time of occurrence of parasomnic and epileptic events to test their potential diagnostic accuracy as criteria to discriminate SHE from DOA.

Methods

Video-polysomnography recordings of 89 patients with a definite diagnosis of DOA (59) or SHE (30) were reviewed to define major or minor events and to analyze their stage and relative time of occurrence. The “event distribution index” was defined on the basis of the occurrence of events during the first versus the second part of sleep period time. A group analysis was performed between DOA and SHE patients to identify candidate predictors and to quantify their discriminative performance.

Results

The total number of motor events (i.e. major and minor) was significantly lower in DOA (3.2 ± 2.4) than in SHE patients (6.9 ± 8.3; p = 0.03). Episodes occurred mostly during N3 and N2 in DOA and SHE patients, respectively. The occurrence of at least one major event outside N3 was highly suggestive for SHE (p = 2*e-13; accuracy = 0.898, sensitivity = 0.793, specificity = 0.949). The occurrence of at least one minor event during N3 was highly suggestive for DOA (p = 4*e-5; accuracy = 0.73, sensitivity = 0.733, specificity = 0.723). The “event distribution index” was statistically higher in DOA for total (p = 0.012) and major events (p = 0.0026).

Conclusion

The stage and the relative time of occurrence of minor and major motor manifestations represent useful criteria to discriminate DOA from SHE episodes.

Definition and diagnostic criteria of sleep-related hypermotor epilepsy

The syndrome known as nocturnal frontal lobe epilepsy is recognized worldwide and has been studied in a wide range of clinical and scientific settings (epilepsy, sleep medicine, neurosurgery, pediatric neurology, epidemiology, genetics). Though uncommon, it is of considerable interest to practicing neurologists because of complexity in differential diagnosis from more common, benign sleep disorders such as parasomnias, or other disorders like psychogenic nonepileptic seizures. Moreover, misdiagnosis can have substantial adverse consequences on patients' lives. At present, there is no consensus definition of this disorder and disagreement persists about its core electroclinical features and the spectrum of etiologies involved. To improve the definition of the disorder and establish diagnostic criteria with levels of certainty, a consensus conference using formal recommended methodology was held in Bologna in September 2014. It was recommended that the name be changed to sleep-related hypermotor epilepsy (SHE), reflecting evidence that the attacks are associated with sleep rather than time of day, the seizures may arise from extrafrontal sites, and the motor aspects of the seizures are characteristic. The etiology may be genetic or due to structural pathology, but in most cases remains unknown. Diagnostic criteria were developed with 3 levels of certainty: witnessed (possible) SHE, video-documented (clinical) SHE, and video-EEG-documented (confirmed) SHE. The main research gaps involve epidemiology, pathophysiology, treatment, and prognosis.

Sleepwalking episodes are preceded by arousal-related activation in the cingulate motor area: EEG current density imaging

OBJECTIVE

To investigate local arousal fluctuations in adults who received ICSD-2 diagnosis of somnambulism.

METHODS

EEG neuroimaging (eLORETA) was utilized to compare current density distribution for 4s epochs immediately preceding sleepwalking episode (from -4.0 s to 0 s) to the distribution during earlier 4s epochs (from -8.0 s to -4.0 s) in 20 EEG segments from 15 patients.

RESULTS

Comparisons between eLORETA images revealed significant (t>4.52; p<0.05) brain activations before onset of sleepwalking, with greater current density within beta 3 frequency range (24-30 Hz) in Brodmann areas 33 and 24.

CONCLUSIONS

Sleepwalking motor events are associated with arousal-related activation of cingulate motor area.

SIGNIFICANCE

These results support the notion of blurred boundaries between wakefulness and NREM sleep in sleepwalking.

Nocturnal frontal lobe epilepsy and the acetylcholine receptor

BACKGROUND

Nocturnal frontal lobe epilepsy (NFLE) is an idiopathic partial epilepsy characterized by a wide spectrum of stereotyped motor manifestations, mostly occurring during non rapid eye movements sleep. NFLE is underdiagnosed since semiological similarities make it difficult to distinguish NFLE from parasomnias. In 1994, authors reported families with NFLE inherited as an autosomal dominant trait and they introduced the term of autosomal dominant nocturnal frontal lobe epilepsy (ADNFLE). A family history of possible NFLE is found in about 25% of cases. The genetic bases of the disease have been detected in a minority of cases. Mutations causing a gain of function of the neuronal nicotinic acetylcholine receptors were reported in 3 different subunits.

REVIEW SUMMARY

This review discusses the clinical aspects of NFLE and the diagnostic procedures. Furthermore, the genetic aspects are outlined. The main differentiating features characterizing NFLE are: (a) several attacks per night at any time during the night; (b) brief duration of the attacks; (c) stereotyped motor pattern. Nocturnal video-polysomnography is crucial for the diagnosis. Neurological examination in NFLE/ADNFLE is normal. About 30% of NFLE cases are resistant to antiepileptic drugs. Concerning the genetics, putative susceptibility nucleotide variations affecting the promoter of the CRH gene and altering the corticotrophin-releasing hormone levels have been reported in some NFLE patients.

CONCLUSIONS

Distinguishing NFLE seizures from paroxysmal nonepileptic sleep disorders is often difficult and sometimes impossible on clinical grounds alone. Nocturnal video-polysomnography is mandatory. Further genetic studies could help the diagnosis and treatment in NFLE patients.

The parasomnias: mechanisms and treatment

Although parasomnias should be considered benign conditions without a deleterious impact on sleep quality and quantity, especially in children, it is important to recognize and properly diagnose these phenomena. Moreover, parasomnias may be misdiagnosed as epileptic seizures, in particular seizures with a predominant complex motor behavior as seizures occurring in nocturnal frontal lobe epilepsy (NFLE), leading to unnecessary and expensive investigations and prolonged and unsuccessful treatment. In this article we describe the clinical and neurophysiologic features of the most common parasomnias, giving the most reliable elements of differential diagnosis between parasomnias and epileptic nocturnal seizures, namely the typical seizures occurring in NFLE. The diagnostic value of history-taking, video-polysomnography, home video recording, and diagnostic scales is discussed. Next we describe the intriguing aspect of the frequent coexistence, in the same family and even in the same patients, of epileptic and parasomniac attacks, giving a common neurophysiologic interpretation. Finally some brief indications to the treatment of parasomnias are suggested.

Parasomnias and nocturnal frontal lobe epilepsy (NFLE): lights and shadows--controversial points in the differential diagnosis

Nocturnal frontal lobe epilepsy (NFLE) is characterized by seizures with complex, often bizarre, violent behaviour arising only or mainly during sleep. These unusual seizures and their occurrence during sleep are often accompanied by normal EEG tracings and neuroradiological findings, making it difficult to distinguish NFLE seizures from other non-epileptic nocturnal paroxysmal events, namely parasomnias. NFLE was described for the first time in 1981, but, as its epileptic origin was controversial, the condition was called nocturnal paroxysmal dystonia. Even though many aspects of parasomnias and NFLE have been clarified in the last two decades, the problem of differential diagnosis remains a challenge for clinicians. This paper discusses some controversial points still under debate. The difficulties in distinguishing nocturnal epileptic seizures from parasomnias reflect just one aspect of the intriguing issue of the pathophysiological relationships between all types of paroxysmal motor behaviours during sleep.

Diagnostic accuracy of a structured interview for nocturnal frontal lobe epilepsy (SINFLE): a proposal for developing diagnostic criteria

OBJECTIVES

To measure the accuracy of anamnestic features collected during clinical history for the diagnosis of nocturnal frontal lobe epilepsy (NFLE).

METHODS

A case-control diagnostic study. Participants included a case group of people with ascertained target disease (NFLE group) and a control group of people with sleep disorders potentially confounding for NFLS (NOT-NFLE group), defined by means of a consensus procedure among experts (panel diagnosis as reference standard). Two major clinical patterns defining the semeiology of the epileptic event (i.e. dystonic, DP, and/or hyperkinetic pattern, HP), and 13 additional minor features were identified, formulated as questions, and telephonically administered to NFLE and NOT-NFLE groups by a trained doctor blinded to the final diagnosis. The diagnostic accuracy of each characteristic was tested against the reference standard.

RESULTS

Out of 262 selected subjects, 101 were recruited; 42 were NFLE and 59 NOT-NFLE. A positive history of DP or HP had a sensitivity of 59.5% and a specificity of 91.5%, irrespective of the other minor anamnestic features. The anamnestic model improved, with a sensitivity of 59.5% and specificity of 96.6%, if at least one of the following four minor anamnestic features was added: (a) duration less than two minutes, (b) unstructured vocalization during the episode, (c) experience of an aura preceding the motor attack, and (d) a history of tonic-clonic seizures during sleep.

CONCLUSIONS

The present study disclosed two major anamnestic patterns and four minor features that we called SINFLE, with unsatisfactory sensitivity but high specificity. These patterns could be the basis for developing future NFLE diagnostic criteria and to quantify the diagnostic accuracy of elements usually collected in the clinical history.

Quantitative movement analysis differentiates focal seizures characterized by automatisms

The analysis of epileptic seizures is typically performed by visual inspection, limited by interrater variation. Our aim was to differentiate seizures characterized by automatisms with an objective, quantitative movement analysis. In part 1 of this study we found parameters (extent and speed of movement of the wrist and trunk) separating seizures with predominant proximal (hyperkinetic, n=10) and distal (automotor, n=10) limb automatisms (P<0.002). For each movement parameter we used the lowest value recorded for a hyperkinetic seizure in part 1 as the cutoff parameter in part 2 on a consecutive sample of 100 motor seizures. As in part 1, the difference between hyperkinetic and non-hyperkinetic seizures was highly significant (<0.001). When all movement parameters were above the threshold, a hyperkinetic seizure was identified with a probability of 80.8%, but the probability for a non-hyperkinetic seizure to have all parameters above the threshold was only 0.02%.

Nocturnal choking episodes: under-recognized and misdiagnosed

Causes of nocturnal paroxysmal events include a variety of disorders such as epileptic seizures, parasomnias, sleep-related movement disorders, and psychiatric disturbances. Timing and semiology of the events, simultaneous video-electroencephalographic observation, presence of any daytime events, and relevant psychiatric and medical history may help in sorting out various possibilities considered in the differential diagnosis of such events. Timely diagnosis of these events is crucial for appropriate management; under-recognition and misdiagnosis of nonepileptic events is not uncommon. Described here are two cases within the spectrum of nocturnal paroxysmal events, one with nocturnal panic attacks and the other with frontal lobe epilepsy, each presenting with choking episodes.

Increased frequency of arousal parasomnias in families with nocturnal frontal lobe epilepsy: a common mechanism?

PURPOSE

Retrospective observations disclosed an overlap between parasomnias and nocturnal frontal lobe epilepsy (NFLE) not only in patients but also in their relatives, suggesting a possible common pathogenetic mechanism. This study aimed to verify whether relatives of patients with NFLE have a higher frequency of parasomnias, namely arousal disorders, and thereby shed light on the still unknown pathophysiologic mechanisms underlying NFLE.

METHODS

We undertook a case-control family study in which we recruited NFLE probands and healthy controls, matched for age, sex, education, and geographic origin. At least four relatives were included for each proband and control. Each subject underwent a standardized interview, with application of the International Classification of Sleep Disorders-Revised (ICSD-R 2001) minimal criteria to diagnose the lifetime prevalence of the main parasomnias.

RESULTS

Four hundred fifty-eight individuals were recruited: 33 NFLE probands, 200 relatives of probands, 31 controls, and 194 control relatives. All NFLE probands but one have sporadic NFLE. The lifetime prevalence of the following parasomnias differed in proband relatives versus control relatives: arousal disorders [odds ratio (OR) 4.7, 95% confidence interval (CI) 2.0-11.6; p < 0.001] and nightmares (OR 2.6, 95% CI 1.6-4.2; p < 0.001) were more frequent among NFLE proband relatives. In the secondary analysis comparing NFLE probands to controls, arousal disorders (OR 6.3, 95% CI 1.3-31.7; p = 0.023) and bruxism (OR 5.4, 95% CI 1.3-21.7; p = 0.017) were more frequent among NFLE probands.

DISCUSSION

The higher frequency of arousal disorders in NFLE families suggests an intrinsic link between parasomnias and NFLE and an abnormal (possibly cholinergic) arousal system as a common pathophysiologic mechanism.

Sleep habits and disturbances in Malaysian children with epilepsy

AIMS

To compare sleep habits and disturbances between Malaysian children with epilepsy and their siblings (age range 4-18 years) and to determine the factors associated with greater sleep disturbance.

METHODS

The Sleep Disturbance Scale for Children (SDSC) questionnaire was completed by the primary caregiver for 92 epileptic children (mean age 11.1 years, 50 male, 42 females) and their healthy siblings (mean age 11.1 years, 47 males, 45 females). Details of sleep arrangements and illness severity were obtained. Multiple regression analysis was used to determine factors associated with high Total SDSC scores in epileptic patients.

RESULTS

Compared with their siblings, epileptic children had significantly higher total SDSC score (difference between means 8.7, 95% confidence interval (CI) 6.4-11.1) and subscale scores in disorders of initiating and maintaining sleep (3.9, 95% CI 2.8-5.2), sleep-wake transition disorders (2.1, 95% CI 1.3-2.9), sleep-disordered breathing (0.7, 95% CI 0.3-1.1) and disorders of excessive sleepiness (1.5, 95% CI 0.6-2.4). Epileptic children had a higher prevalence of co-sleeping (73.7% vs 31.5%) and on more nights per week (difference between means 3, 95% CI 2.0-3.9) than their siblings. Higher Epilepsy Illness Severity scores were associated with higher total SDSC scores (P= 0.02).

CONCLUSION

Co-sleeping was highly prevalent in children with epilepsy, who also had more sleep disturbances (especially problems with initiating and maintaining sleep and sleep-wake transition disorders) than their siblings. Epilepsy severity contributed to the sleep disturbances. Evaluation of sleep problems should form part of the comprehensive care of children with severe epilepsy.

NREM arousal parasomnias and their distinction from nocturnal frontal lobe epilepsy: a video EEG analysis

STUDY OBJECTIVES

To describe the semiological features of NREM arousal parasomnias in detail and identify features that can be used to reliably distinguish parasomnias from nocturnal frontal lobe epilepsy (NFLE).

DESIGN

Systematic semiologial evaluation of parasomnias and NFLE seizures recorded on video-EEG monitoring.

PATIENTS

120 events (57 parasomnias, 63 NFLE seizures) from 44 subjects (14 males). Interventions. The presence or absence of 68 elemental clinical features was determined in parasomnias and NFLE seizures. Qualitative analysis of behavior patterns and ictal EEG was undertaken. Statistical analysis was undertaken using established techniques.

RESULTS

Elemental clinical features strongly favoring parasomnias included: interactive behavior, failure to wake after event, and indistinct offset (all P < 0.001). Cluster analysis confirmed differences in both the frequency and combination of elemental features in parasomnias and NFLE. A diagnostic decision tree generated from these data correctly classified 94% of events. While sleep stage at onset was discriminatory (82% of seizures occurred during stage 1 or 2 sleep, with 100% of parasomnias occurring from stage 3 or 4 sleep), ictal EEG features were less useful. Video analysis of parasomnias identified three principal behavioral patterns: arousal behavior (92% of events); non-agitated motor behavior (72%); distressed emotional behavior (51%).

CONCLUSIONS

Our results broadly support the concept of confusion arousals, somnambulism and night terrors as prototypical behavior patterns of NREM parasomnias, but as a hierarchical continuum rather than distinct entities. Our observations provide an evidence base to assist in the clinical diagnosis of NREM parasomnias, and their distinction from NFLE seizures, on semiological grounds.

Using interactional and linguistic analysis to distinguish between epileptic and psychogenic nonepileptic seizures: a prospective, blinded multirater study

This study was carried out to test the suggestion that close interactional and linguistic examination of the communication between neurologists and patients during a first encounter can contribute to the differential diagnosis of epilepsy or psychogenic nonepileptic seizures. Twenty unselected patients admitted for video/EEG telemetry because of diagnostic uncertainty were included. Two linguists blinded to all medical data independently studied video recordings and transcripts of 25- to 35-minute interactions. They attempted to predict the medical diagnosis on the basis of qualitative assessments addressing 17 separate observations. They also used a diagnostic scoring aid (DSA) to convert their qualitative assessments into a simple numeric score. Using qualitative assessment, both linguists predicted 17 of 20 (85%) diagnoses (kappa=0.59). With the DSA, diagnoses were predicted with a sensitivity of 85.7% (71.4%) and a specificity of 84.6% (92.3%). This blinded, prospective multirater study confirms the diagnostic value of linguistic and interactional observations in the seizure clinic setting.

The concept of the epilepsy syndrome: how useful is it in clinical practice?

An epilepsy syndrome is a disorder characterized by a cluster of symptoms and signs customarily occurring in combination. A syndromic approach to the epilepsies would be of practical value for diagnostic, prognostic, and therapeutic purposes. However, despite considerable efforts by leaders in the field of epileptology and the improved knowledge of the clinical, genetic, imaging, and biologic aspects of epilepsy, there are no measurable objective criteria for recognizing seizure types and epilepsy syndromes as separate diagnostic entities with well-defined prognostic and therapeutic aspects. The lack of pragmatic, evidence-based instruments to devise a syndromic classification useful for clinical practice can be explained by the evolving concept of epilepsy syndrome, its dynamic characteristics, the poor prognostic predictivity, and the extremely complex genetic and pathophysiologic mechanisms underlying the epileptic phenomena. In addition, the results of the published reports on epilepsy syndromes are mostly biased by flaws in the study population, design, and statistical analysis. The Classification Core Group of the International League Against Epilepsy (ILAE), which is working on a new classification of the epilepsies, stated that the process of syndrome identification requires that an evidence-based approach be applied to the published literature and future studies.

Autosomal dominant nocturnal frontal lobe epilepsy and mild memory impairment associated with CHRNB2 mutation I312M in the neuronal nicotinic acetylcholine receptor

Certain paroxysmal nocturnal behaviors have been established as features of nocturnal frontal lobe epilepsy (NFLE). Despite insight into its genetics, the majority of patients with NFLE are not linked to a known mutation and clinical diagnosis remains a challenge. We describe a family presenting with stereotyped nocturnal arousals from non-rapid eye movement sleep, bilateral hand posturing, and pelvic thrusting in the mother, but subtle motor activity in the daughter, and minimal or no epileptiform EEG discharges. Despite normal IQ, there were moderate and severe verbal memory deficits in the mother and daughter, respectively. Genetic testing revealed the CHRNB2 mutation I312M in transmembrane region 3 (M3) of the neuronal nicotinic acetylcholine receptor. Phenotypic similarities in unrelated families suggest the determining role of this mutation in NFLE, whereas different inter- and intrafamilial cognitive profiles point to other factors. The absence of clear motor features of NFLE in the daughter emphasizes the shortcomings of current clinical criteria and the potential for genetic testing to further guide clinical diagnostic criteria.