Ictal characteristics of psychogenic nonepileptic seizures: what we have learned from video/EEG recordings--a literature review

Distinguishing epileptic seizures from imitators: A video-based evaluation of non-epileptologist physicians

OBJECTIVES

Epileptic seizures can present with various clinical manifestations, often resembling other conditions-referred to as "imitators of epileptic seizures"-making differential diagnosis challenging. Among them, psychogenic non-epileptic seizures (PNES) or functional/dissociative seizures (FDS) are particularly prevalent in females. This study aimed to evaluate the ability of various non-epileptologist physicians to distinguish epileptic seizures from imitators by viewing video recordings of several paroxysmal events. We also assessed whether variables, such as medical specialty and years of professional experience, could impact diagnostic accuracy.

MATERIALS AND METHODS

Ten video recordings of authorized informational material were presented to non-epileptologist physicians. Five videos depicted non-epileptic events, including syncope, hyperkinetic movement disorder episodes, cataplexy, PNES/FDS, and REM behavior disorder. The remaining videos featured focal and generalized seizures. Participants completed an anonymous questionnaire to classify each event as epileptic or non-epileptic.

RESULTS

Seventy specialists (44 men, 26 women) from psychiatry (12.9%), internal medicine (12.9%), neurosurgery (14.3%), neurology (14.3%), emergency (18.6%), anesthesiology. (18.6 %) and others (7.1 %) were enrolled. The mean age was 49.9 ± 8.7 years; years of work experience were 0-20 years for 53 % and 21-40 years for 47 %. Epileptic seizures were correctly. recognized in 50.3% of cases, whereas non-epileptic paroxysmal events were. misdiagnosed in 49.7% of cases. The most accurately recognized event was tonic-clonic seizure (88.6%), while the most frequently misdiagnosed was PNES/FDS (94.3%).

DISCUSSION AND CONCLUSION

Correctly diagnosing epileptic and non-epileptic paroxysmal events can be challenging when relying solely on video recordings. This study highlights the importance of implementing training for adequate diagnosis and subsequent correct management of these conditions.

Diagnostic Value of Bereitschaftspotential in People With Functional Seizures

PURPOSE

Bereitschaftspotential (BP) or readiness potential in people with functional movement disorders can aid diagnostic workup. We evaluated the diagnostic value of BP as an interictal EEG marker in people with functional seizures (FS).

METHODS

We recorded and analyzed BP interictal before intended movements in 17 adults with FS and 17 controls with alternative diagnoses. We evaluated the signals for the presence of BP, latency, amplitude, and early versus late BP.

RESULTS

Bereitschaftspotential was present in all except one person with FS. We found no significant differences in the latency and amplitude of BP between participants with FS and controls. The early BP showed the most significant variance in amplitude, latency, and presence.

CONCLUSIONS

We found interictal typical BP values in participants with FS and variable semiology, while earlier research found interictal no BP in functional movement disorders. These findings do not support the use of BP as an interictal diagnostic tool for FS. Differences in early BP and focus on FS with pure motor semiology are starting points for further research evaluating potential interictal markers in people with FS.

Evaluation of the relationships between psychiatric comorbidity and seizure semiology in psychogenic non-epileptic seizure patients

Psychogenic non-epileptic seizures (PNES) are episodic events that bear a resemblance to epileptic seizures (ES) in their outward manifestations, yet they lack pathological electroencephalographic (EEG) activity during the ictal phase. In the Diagnostic and Statistical Manual 5th Edition (DSM-5), PNES is designated as "Functional Neurological Symptom Disorder with seizures". Individuals diagnosed with PNES commonly present with concurrent psychiatric disorders, notably depression, panic disorder, and chronic anxiety. This phenomenon renders PNES a shared affliction within the domains of neurology and psychiatry, thereby mandating the implementation of diverse therapeutic approaches in the management of the condition. Indeed, identifying the presence of concurrent psychiatric disorders in a patient with PNES during the early stages is crucial for devising an appropriate treatment plan. In this study, an assessment was conducted to examine the correlation between PNES semiology and psychiatric disorder comorbidity, to elucidate whether semiological characteristics serve as predictors for the presence of comorbid psychiatric disorders. The PNES patients enrolled were divided into two subgroups based on the presence or absence of accompanying psychiatric disorders (onlyPNES and PNES+). The study assessed disparities in semiological characteristics between the two subgroups of PNES and the results obtained indicate that individual variations in semiotic features are not influenced by the presence of psychiatric comorbidity.

An essay on the Charcot and Richer hysteria: from charcoal drawings to cell phones

Hysteria, previously also known as the disease of the womb, has moved from being a woman's illness through the medieval times' stigma of demonic possession, to the modern concept of a functional neurological disorder. Interestingly to the present assay, Charcot (1825-1893) and Richer (1849-1933) described, in their 1887 work Les Démoniaques dans l'art, by means of iconography, semiological aspects of the so-called Grande Attaque Hystérique, which resembles features of psychogenic nonepileptic seizures emulating grand mal epileptic seizures. The aim of the present assay is to describe how those charcoal iconographic representations evolved through history and are nowadays portrayed in videos recorded at epilepsy monitoring units and patients' cell phones.

The neurobiology of functional neurological disorders characterised by impaired awareness

We review the neurobiology of Functional Neurological Disorders (FND), i.e., neurological disorders not explained by currently identifiable histopathological processes, in order to focus on those characterised by impaired awareness (functionally impaired awareness disorders, FIAD), and especially, on the paradigmatic case of Resignation Syndrome (RS). We thus provide an improved more integrated theory of FIAD, able to guide both research priorities and the diagnostic formulation of FIAD. We systematically address the diverse spectrum of clinical presentations of FND with impaired awareness, and offer a new framework for understanding FIAD. We find that unraveling the historical development of neurobiological theory of FIAD is of paramount importance for its current understanding. Then, we integrate contemporary clinical material in order to contextualise the neurobiology of FIAD within social, cultural, and psychological perspectives. We thus review neuro-computational insights in FND in general, to arrive at a more coherent account of FIAD. FIAD may be based on maladaptive predictive coding, shaped by stress, attention, uncertainty, and, ultimately, neurally encoded beliefs and their updates. We also critically appraise arguments in support of and against such Bayesian models. Finally, we discuss implications of our theoretical account and provide pointers towards an improved clinical diagnostic formulation of FIAD. We suggest directions for future research towards a more unified theory on which future interventions and management strategies could be based, as effective treatments and clinical trial evidence remain limited.

ILAE definition of the Idiopathic Generalized Epilepsy Syndromes: Position statement by the ILAE Task Force on Nosology and Definitions

In 2017, the International League Against Epilepsy (ILAE) Classification of Epilepsies described the "genetic generalized epilepsies" (GGEs), which contained the "idiopathic generalized epilepsies" (IGEs). The goal of this paper is to delineate the four syndromes comprising the IGEs, namely childhood absence epilepsy, juvenile absence epilepsy, juvenile myoclonic epilepsy, and epilepsy with generalized tonic-clonic seizures alone. We provide updated diagnostic criteria for these IGE syndromes determined by the expert consensus opinion of the ILAE's Task Force on Nosology and Definitions (2017-2021) and international external experts outside our Task Force. We incorporate current knowledge from recent advances in genetic, imaging, and electroencephalographic studies, together with current terminology and classification of seizures and epilepsies. Patients that do not fulfill criteria for one of these syndromes, but that have one, or a combination, of the following generalized seizure types: absence, myoclonic, tonic-clonic and myoclonic-tonic-clonic seizures, with 2.5-5.5 Hz generalized spike-wave should be classified as having GGE. Recognizing these four IGE syndromes as a special grouping among the GGEs is helpful, as they carry prognostic and therapeutic implications.

Comparison of semiology in patients with psychogenic nonepileptic seizures or with epilepsy in Puerto Rico

PURPOSE

The aims of this study were to develop a descriptive profile of patients with psychogenic nonepileptic seizures (PNES) in Puerto Rico who have been evaluated using an epilepsy monitoring unit. The other aim was to establish comparisons between the clinical manifestation of PNES and events of generalized epilepsy (GE).

METHOD

A retrospective study was conducted to evaluate the information of patients who passed through the Epilepsy Unit in Caguas, Puerto Rico. In the first phase, sociodemographic information of 100 patients with PNES was collected. In the second phase, a sample of 51 cases was obtained; 37 cases with a final diagnosis of PNES and 14 cases with the diagnosis of GE. Observations were made with the objective of viewing and comparing the semiology and clinical manifestation presented through video encephalograms (vEEG) in both subsamples.

RESULTS

Patients with PNES and epilepsy demonstrated different semiological patterns. Psychogenic nonepileptic seizures is predominant in females (95%). Most patients with epilepsy presented a relatively short seizure (<2 min) compared with patients with PNES (79% vs. 46%). Patients with epilepsy showed a slow return to their baseline manifestation (100% vs. 11%). Specifically, having their eyes closed, extreme asynchronous limb movements, and rigidity were statistically significant.

CONCLUSION

These findings provide evidence that the semiology of patients with PNES is different from those displaying an epileptic seizure. This study supports the idea that the semiology of Latino patients with PNES is similar to the characteristics reported in other countries.

Predictive semiology of psychogenic non-epileptic seizures in an epilepsy monitoring unit

Introduction

The diagnosis of psychogenic nonepileptic seizures (PNES) is a common clinical dilemma. We sought to assess the diagnostic value of four ictal signs commonly used in differentiating PNES from epileptic seizures (ES).

Methods

We retrospectively reviewed consecutive adult video-electroencephalogram (VEM) studies conducted at a single tertiary epilepsy center between May 2009 and August 2016. Each event was assessed by a blinded rater for the presence of four signs: fluctuating course, head shaking, hip thrusting, and back arching. The final diagnosis of PNES or ES was established for each event based on clinical and VEM characteristics. All ES were pooled regardless of focal or generalized onset. We analyzed the odds ratio of each sign in PNES in comparison to ES with adjustment for repeated measures using logistic regression. Additionally, we calculated the sensitivity, specificity, predictive values, and likelihood ratios of each sign to diagnose PNES.

Results

A total of 742 events from 140 VEM studies were assessed. Fluctuating course (odds ratio (OR) 37.37, 95% confidence interval (CI) 13.56–102.96, P < 0.0001), head shaking (OR 2.95, 95% CI 1.26–6.79, P = 0.012), and hip thrusting (OR 4.28, 95% CI 1.21–15.18, P = 0.02) were each significantly predictive of PNES. Fluctuating course had the highest sensitivity (76.16%). Back arching (OR 1.06, 95% CI 0.35–3.20, P = 0.92) was not significantly associated with PNES.

Conclusion

Fluctuating course, head shaking, and hip thrusting are semiological features significantly more common in PNES than ES. Fluctuating course is the most reliable sign. Back arching does not appear to differentiate PNES from ES.

[Psychogenic non-epileptic seizures]

The review provides epidemiological data and discuss the associated burden of non-epileptic seizures (PNES). Data on the prevalence, socio-demographic and clinical risk factors for the development of PNES are presented. The hypotheses of the PNES origin, including the contribution of psychological trauma, are considered. We also describe contemporary methods for differential diagnosis of epileptic seizures and PNES, including biomarkers and the use of diagnostic questionnaires. Special attention is given to the issues of the psychiatric comorbidity of PNES.

Functional neurological disorder in the emergency department

We provide a narrative review of functional neurological disorder (FND, or conversion disorder) for the emergency department (ED). Diagnosis of FND has shifted from a "rule-out" disorder to one now based on the recognition of positive clinical signs, allowing the ED physician to make a suspected or likely diagnosis of FND. PubMed, Google Scholar, academic books, and a hand search through review article references were used to conduct a literature review. We review clinical features and diagnostic pitfalls for the most common functional neurologic presentations to the ED, including functional limb weakness, functional (nonepileptic) seizures, and functional movement disorders. We provide practical advice for discussing FND as a possible diagnosis and suggestions for initial steps in workup and management plans.

Clinical differentiation of psychogenic non-epileptic seizure: a practical diagnostic approach

Background

Psychogenic non-epileptic seizure (PNES) has long been the counterpart of epileptic seizure (ES). Despite ample of evidence differentiating the two, PNES mistakenly diagnosed as ES was still common, resulting in unnecessary exposure to long-term antiepileptic medications and reduced patient’s and caregiver’s quality of life, not to mention the burgeoning financial costs.

Objectives

In this review, we aimed to elucidate various differences between PNES and epileptic seizure with respect to baseline characteristics, seizure semiology, EEG pattern, and other key hallmark features.

Methods

An unstructured search was carried out in PubMed, MEDLINE, and EMBASE using keywords pertinent to PNES and ES differentiation. Relevant information was subsequently summarized herein.

Results

PNES differs significantly with ES in terms of baseline characteristics, prodromal symptoms, seizure semiology, presence of pseudosleep, and other hallmark features (for instance provoking seizure with suggestion). The combined approach, if applied appropriately, can yield high diagnostic yield.

Conclusions

PNES can be clearly differentiated from ES via careful adherence to a set of valid clinical cues. The summarized clinical hallmarks is highly useful to prevent unnecessary ES diagnosis and treatment with AEDs.

Prolactin levels as a criterion to differentiate between psychogenic non-epileptic seizures and epileptic seizures: A systematic review

OBJECTIVE

Psychogenic non-epileptic seizures (PNES) are conversion disorders with functional neurological symptoms that can resemble epileptic seizures (ES). We conducted a systematic review to obtain an overview of the value of prolactin (PRL) levels in the differential diagnosis between PNES and ES.

METHODS

We searched PubMed, EMBASE, and Cochrane Library databases for studies published up to June 4th, 2020. Published studies were included if they fulfilled the following criteria: original research on PRL changes after ES and PNES. By applying Bayes' theorem, we calculated the predicted values of PRL with pretest probabilities of 90 % and 75 % in ES.

RESULTS

Sixteen studies were included in this review. All the studies showed that PRL levels increase after ES, especially 10-20 min after ES, when the elevation was most obvious. In studies where capillary PRL level measurements were included, the median sensitivity in the diagnosis of ES (all epileptic seizure types), generalized tonic clonic seizures (GTCS), focal impaired awareness seizures (FIAS), and focal aware seizures (FAS) was 67.3 %, 66.7 %, 33.9 %, and 11.1 %, respectively. The median specificity in the diagnosis of ES was 99.1 %. By using Bayes' theorem, when we used the median specificity and sensitivity for predictive value calculation, assuming a pretest probability of 90 %, a positive PRL measure was highly predictive (99 %) of all types of ES, and negative predictive values were all below 30 %. When we used the lowest specificity and sensitivity for predictive value calculation, assuming a pretest probability of 75 %, ES and GTCS had positive predictive values of 77.2 % and 81.0 %, respectively; the negative predictive values of PRL in ES and GTCS were 26.2 % and 29.6 %, respectively.

CONCLUSIONS

The use of PRL could be a useful adjunct to differentiate GTCS from PNES. However, PRL levels are of limited use for differentiating FIAS or FAS from PNES, and a negative PRL measure is not predictive of PNES.

The first-line management of psychogenic non-epileptic seizures (PNES) in adults in the emergency: a practical approach

Distinguishing non-epileptic events, especially psychogenic non-epileptic seizures (PNES), from epileptic seizures (ES) constitutes a diagnostic challenge. Misdiagnoses are frequent, especially when video-EEG recording, the gold-standard for PNES confirmation, cannot be completed. The issue is further complicated in cases of combined PNES with ES. In emergency units, a misdiagnosis can lead to extreme antiepileptic drug escalade, unnecessary resuscitation measures (intubation, catheterization, etc.), as well as needless biologic and imaging investigations. Outside of the acute window, an incorrect diagnosis can lead to prolonged hospitalization or increase of unhelpful antiepileptic drug therapy. Early recognition is thus desirable to initiate adequate treatment and improve prognosis. Considering experience-based strategies and a thorough review of the literature, we aimed to present the main clinical clues for physicians facing PNES in non-specialized units, before management is transferred to epileptologists and neuropsychiatrists. In such conditions, patient recall or witness-report provide the first orientation for the diagnosis, recognizing that collected information may be inaccurate. Thorough analysis of an event (live or based on home-video) may lead to a clinical diagnosis of PNES with a high confidence level. Indeed, a fluctuating course, crying with gestures of frustration, pelvic thrusting, eye closure during the episode, and the absence of postictal confusion and/or amnesia are highly suggestive of PNES. Moreover, induction and/or inhibition tests of PNES have a good diagnostic value when positive. Prolactinemia may also be a useful biomarker to distinguish PNES from epileptic seizures, especially following bilateral tonic-clonic seizures. Finally, regardless the level of certainty in the diagnosis of the PNES, it is important to subsequently refer the patient for epileptological and neuropsychiatric follow-up.

Intubation for Psychogenic Non-Epileptic Attacks: Frequency, Risk Factors, and Impact on Outcome

PURPOSE

Patients with psychogenic non-epileptic attacks (PNEA) sometimes receive aggressive treatment leading to endotracheal intubation. We sought to identify the frequency, risk factors, and impact on outcome of intubation for PNEA.

METHODS

We retrospectively reviewed all PNEA patients admitted via the emergency department (ED) who had an episode of PNEA documented by continuous video electroencephalography (vEEG) at Henry Ford Hospital between January 2012 and October 2017. Patients with comorbid epilepsy were excluded. Clinical features, treatments, and vEEG reports were compared between intubated and non-intubated patients.

RESULTS

Of 80 patients who were admitted via the ED and had PNEA documented by vEEG, 12 (15%) were intubated. Compared with non-intubated PNEA patients, intubated patients had longer duration of convulsive symptoms (25 [IQR 7-53] vs 2 [IQR 1-9] minutes, P = 0.01), were less likely to have a normal Glasgow Coma Scale score of 15 (33% vs 94%, P < 0.001), received higher doses of benzodiazepines (30 [IQR 16-45] vs 10 [IQR 5-20] mg of diazepam equivalents, P = 0.004), and were treated with more antiepileptic drugs (AEDs, 2 [IQR 1-3] vs 1 [IQR 1-2], P = 0.01). Hospital length of stay was longer (3 [IQR 3-5] vs 2 [IQR 2-3], P = 0.001), and the rate of complications (25% vs 4%, P = 0.04) and re-hospitalization from a recurrent episode of PNEA within 30 days was higher among intubated PNEA patients (17% vs 0%, P = 0.02).

CONCLUSION

Fifteen percent of patients hospitalized for vEEG-documented PNEA were intubated. Intubated patients had longer length of stay, more in-hospital complications, and a high rate of re-hospitalization from recurrent PNEA symptoms. Prolonged duration of convulsive symptoms, depressed level of consciousness, and aggressive treatment with benzodiazepines were associated with intubation for PNEA.

A systematic study of stereotypy in epileptic seizures versus psychogenic seizure-like events

OBJECTIVE

The objective of this study was to quantify the features of stereotypy in epileptic seizures and compare it with that of stereotypy in psychogenic nonepileptic seizure-like events (PNES) confirmed by video-electroencephalography (VEEG) monitoring.

METHODS

Video-electroencephalography monitoring records of 20 patients with temporal lobe seizures (TLS) and 20 with PNES were retrospectively reviewed (n = 138 seizures, 48 TLS and 90 PNES). We analyzed the semiology of 59 behaviors of interest for their presence, duration, sequence, and continuity using quantified measures that were entered into statistical analysis.

RESULTS

We identified discontinuity as the parameter that was clearly distinct between PNES and epileptic TLS events: there were significantly more frequent pauses of behavior (i.e., "on-off" pattern) in PNES compared with TLS (P = 0.012). The frequency of pauses during an event was diagnostic of PNES events. For instance, the presence of 2 "pauses" during an episode determines a 69% probability of the seizure being nonepileptic. Moreover, PNES events had significantly greater duration (143 s) than TLS events (68 s) (excluding outliers, P = 0.002) and greater duration variability from one event to another in the same subject (P = 0.005).

SIGNIFICANCE

Our work provides the first quantified measure of behavioral semiology during epileptic and nonepileptic seizures and offers novel behavioral measures to differentiate them from each other.

Semiological characteristics of patients with psychogenic nonepileptic seizures: Gender-related differences

Psychogenic nonepileptic seizures (PNES) are more prevalent among women, and diagnosis may sometimes be delayed by as much as seven years. Understanding the effect of gender on the presentation of a PNES may assist with diagnosis based on semiological details in the clinical setting. Although video-EEG monitoring (VEM) is the gold standard for diagnosing PNES, determining gender-related seizure semiology through careful history may prevent diagnostic delay while waiting for VEM. The aim of this study was to investigate gender-related differences in the semiology of PNES. Patients, all aged at least 16 years, diagnosed with PNES following VEM between December 2005 and November 2016 were included in this study. All patients' medical records and video-EEG-documented PNES were reviewed, and the presence or absence of semiological signs was recorded for each documented attack. Demographic features and semiological signs of PNES were compared between female and male patients. Forty-one patients (31 females, 10 males) aged 27.2 ± 12.2 years (range: 16-65) were included in the study. Mean age at onset of PNES was higher for female patients than males, at 24.3 ± 11.5 versus 17.5 ± 3.2 years (p = 0.005). The median duration of PNES was longer for female patients than males, at 10 min (range: 5 s-120 min) versus 2 min (range: 10 s-60 min) (p = 0.016). The most common symptom was forced eye closure in both genders. No significant gender-specific differences were observed in terms of the type or semiology of PNES. Although there are no major gender-related differences in PNES semiology, our findings highlight the importance of greater caution, especially in male patients, when diagnosing PNES, remembering that onset may also occur at young ages and that a short seizure duration does not exclude PNES.

Simultaneous Video-EEG-ECG Monitoring to Identify Neurocardiac Dysfunction in Mouse Models of Epilepsy

In epilepsy, seizures can evoke cardiac rhythm disturbances such as heart rate changes, conduction blocks, asystoles, and arrhythmias, which can potentially increase risk of sudden unexpected death in epilepsy (SUDEP). Electroencephalography (EEG) and electrocardiography (ECG) are widely used clinical diagnostic tools to monitor for abnormal brain and cardiac rhythms in patients. Here, a technique to simultaneously record video, EEG, and ECG in mice to measure behavior, brain, and cardiac activities, respectively, is described. The technique described herein utilizes a tethered (i.e., wired) recording configuration in which the implanted electrode on the head of the mouse is hard-wired to the recording equipment. Compared to wireless telemetry recording systems, the tethered arrangement possesses several technical advantages such as a greater possible number of channels for recording EEG or other biopotentials; lower electrode costs; and greater frequency bandwidth (i.e., sampling rate) of recordings. The basics of this technique can also be easily modified to accommodate recording other biosignals, such as electromyography (EMG) or plethysmography for assessment of muscle and respiratory activity, respectively. In addition to describing how to perform the EEG-ECG recordings, we also detail methods to quantify the resulting data for seizures, EEG spectral power, cardiac function, and heart rate variability, which we demonstrate in an example experiment using a mouse with epilepsy due to Kcna1 gene deletion. Video-EEG-ECG monitoring in mouse models of epilepsy or other neurological disease provides a powerful tool to identify dysfunction at the level of the brain, heart, or brain-heart interactions.

Epileptic vs psychogenic nonepileptic seizures: a video-based survey

Psychogenic non epileptic seizures (PNES) are present in up to 30% of patients undergoing video EEG. Delay in PNES diagnosis is an average of 7.2years. Patients are exposed to costly, hazardous medications and other iatrogenic morbidities. Our aim was to investigate the ability to correctly diagnose ES from PNES in different groups and seniorities of medical professionals based on video alone. We showed ten video episodes' recordings (5 PNES, 5 ES) to doctors and nurses from ER, Internal Medicine ward and Neurology department, and inquired about the episodes' nature. 46 participants, 26 non-neurological and 20 neurological personnel. Seniority of responders varied. Epileptologists diagnosed correctly 87.5% of cases, General neurologists 72.8%. Neurology nurses 69.8%, ER nurses 58%, Internal Medicine physicians 54.1% and ER physicians 44.4%. Statistical significant difference between the general physicians to all neurology group professions was >0.05. We pointed out the lack of awareness of first responders to patients presenting with seizures. Neurologist ability to recognize seizures using semiology alone is higher than other medical personnel. Take home messages is the need for video taking of episodes and education plan to first responders.

Diagnostic and Therapeutic Management of a First Unprovoked Seizure in Children and Adolescents With a Focus on the Revised Diagnostic Criteria for Epilepsy

By definition, unprovoked seizures are not precipitated by an identifiable factor, such as fever or trauma. A thorough history and physical examination are essential to caring for pediatric patients with a potential first unprovoked seizure. Differential diagnosis, EEG, neuroimaging, laboratory tests, and initiation of treatment will be reviewed. Treatment is typically initiated after 2 unprovoked seizures, or after 1 seizure in select patients with distinct epilepsy syndromes. Recent expansion of the definition of epilepsy by the ILAE allows for the diagnosis of epilepsy to be made after the first seizure if the clinical presentation and supporting diagnostic studies suggest a greater than 60% chance of a second seizure. This review summarizes the current literature on the diagnostic and therapeutic management of first unprovoked seizure in children and adolescents while taking into consideration the revised diagnostic criteria of epilepsy.

Ictal verbal help-seeking: Occurrence and the underlying etiology

PURPOSE

Ictal verbal help-seeking has never been systematically studied before. In this study, we evaluated a series of patients with ictal verbal help-seeking to characterize its frequency and underlying etiology.

METHODS

We retrospectively reviewed all the long-term video-EEG reports from Jefferson Comprehensive Epilepsy Center over a 12-year period (2004-2015) for the occurrence of the term "help" in the text body. All the extracted reports were reviewed and patients with at least one episode of documented ictal verbal help-seeking in epilepsy monitoring unit (EMU) were studied. For each patient, the data were reviewed from the electronic medical records, EMU report, and neuroimaging records.

RESULTS

During the study period, 5133 patients were investigated in our EMU. Twelve patients (0.23%) had at least one episode of documented ictal verbal help-seeking. Nine patients (six women and three men) had epilepsy and three patients (two women and one man) had psychogenic nonepileptic seizures (PNES). Seven out of nine patients with epilepsy had temporal lobe epilepsy; six patients had right temporal lobe epilepsy.

CONCLUSION

Ictal verbal help-seeking is a rare finding among patients evaluated in epilepsy monitoring units. Ictal verbal help-seeking may suggest that seizures arise in or propagate to the right temporal lobe.

Neurophysiological investigations for the diagnosis of non-epileptic attack disorder in neuropsychiatry services: from safety standards to improved effectiveness

OBJECTIVE

The discipline of clinical neuropsychiatry currently provides specialised services for a number of conditions that cross the traditional boundaries of neurology and psychiatry, including non-epileptic attack disorder. Neurophysiological investigations have an important role within neuropsychiatry services, with video-electroencephalography (EEG) telemetry being the gold standard investigation for the differential diagnosis between epileptic seizures and non-epileptic attacks. This article reviews existing evidence on best practices for neurophysiology investigations, with focus on safety measures for video-EEG telemetry.

METHODS

We conducted a systematic literature review using the PubMed database in order to identify the scientific literature on the best practices when using neurophysiological investigations in patients with suspected epileptic seizures or non-epileptic attacks.

RESULTS

Specific measures need to be implemented for video-EEG telemetry to be safely and effectively carried out by neuropsychiatry services. A confirmed diagnosis of non-epileptic attack disorder following video-EEG telemetry carried out within neuropsychiatry units has the inherent advantage of allowing diagnosis communication and implementation of treatment strategies in a timely fashion, potentially improving clinical outcomes and cost-effectiveness significantly.

CONCLUSION

The identified recommendations set the stage for the development of standardised guidelines to enable neuropsychiatry services to implement streamlined and evidence-based care pathways.

Number of patient-reported allergies helps distinguish epilepsy from psychogenic nonepileptic seizures

Psychogenic nonepileptic seizures (PNES) are relatively common, accounting for 5-40% of visits to tertiary epilepsy centers. Inpatient video-electroencephalogram (vEEG) monitoring is the gold standard for diagnosis, but additional positive predictive tools are necessary given vEEG's relatively scarce availability. In this study, we investigated if the number of patient-reported allergies distinguishes between PNES and epilepsy. Excessive allergy-reporting, like PNES, may reflect somatization. Using electronic medical records, ICD-9 codes, and text-identification algorithms to search EEG reports, we identified 905 cases of confirmed PNES and 5187 controls with epilepsy but no PNES. Patients with PNES averaged more self-reported allergies than patients with epilepsy alone (1.93 vs. 1.00, p<0.001). Compared to those with no allergies, each additional allergy linearly increased the percentage of patients with PNES by 2.98% (R(2)=0.71) such that with ≥12 allergies, 12/28 patients (42.8%) had PNES compared to 349/3368 (11.6%) of the population with no allergies (odds ratio=6.49). This relationship remained unchanged with logistic regression analysis. We conclude that long allergy lists may help identify patients with PNES. We hypothesize that a tendency to inaccurately self-report allergies reflects a maladaptive externalization of psychologic distress and that a similar mechanism may be responsible for PNES in some patients with somatic symptom disorder.

Psychogenic seizures: long-term outcome in patients with and without epilepsy

OBJECTIVES

Psychogenic non-epileptic seizures (PNES) may resemble epileptic events. Epileptic and non-epileptic seizures are not mutually exclusive phenomena and may coexist in the same patient. The aim of this study was to evaluate the long-term outcome of psychogenic events in patients with PNES alone and those with both PNES and epilepsy (PNES + EPI) as diagnosed by video-EEG (vEEG) monitoring.

MATERIALS AND METHODS

All adult admissions to the Tel-Aviv Medical Center's vEEG unit between 2004 and 2009 were screened for the presence of PNES. We retrospectively retrieved data from their medical files and supplemented the follow-up by a telephonic questionnaire.

RESULTS

Eligible patients (n = 51) were divided into those with PNES + EPI (n = 24) and those with PNES alone (n = 27). The follow-up period was 4.8 ± 0.3 and 4.3 ± 0.3 years, respectively. Both groups had similar female predominance and similar age at admission to the vEEG unit. Time from PNES onset to hospitalization was longer in PNES patients compared to those with PNES + EPI. The majority of subjects in each group reported a history of at least one major stressful life event. Opisthotonus was significantly more frequently observed in PNES patients, and they had more events during vEEG hospitalization. Psychogenic events ceased during the follow-up period in 22% of the PNES patients and in 58% of the PNES + EPI patients (P > 0.001).

CONCLUSION

Our results indicate that following vEEG-based diagnosis of PNES, the long-term outcome of PNES cessation may be more favorable for patients with concomitant epilepsy than for patients without epilepsy.

Number of patient-reported allergies helps distinguish epilepsy from psychogenic nonepileptic seizures

Psychogenic nonepileptic seizures (PNES) are relatively common, accounting for 5-40% of visits to tertiary epilepsy centers. Inpatient video-electroencephalogram (vEEG) monitoring is the gold standard for diagnosis, but additional positive predictive tools are necessary given vEEG's relatively scarce availability. In this study, we investigated if the number of patient-reported allergies distinguishes between PNES and epilepsy. Excessive allergy-reporting, like PNES, may reflect somatization. Using electronic medical records, ICD-9 codes, and text-identification algorithms to search EEG reports, we identified 905 cases of confirmed PNES and 5187 controls with epilepsy but no PNES. Patients with PNES averaged more self-reported allergies than patients with epilepsy alone (1.93 vs. 1.00, p<0.001). Compared to those with no allergies, each additional allergy linearly increased the percentage of patients with PNES by 2.98% (R(2)=0.71) such that with ≥12 allergies, 12/28 patients (42.8%) had PNES compared to 349/3368 (11.6%) of the population with no allergies (odds ratio=6.49). This relationship remained unchanged with logistic regression analysis. We conclude that long allergy lists may help identify patients with PNES. We hypothesize that a tendency to inaccurately self-report allergies reflects a maladaptive externalization of psychologic distress and that a similar mechanism may be responsible for PNES in some patients with somatic symptom disorder.

Improving first responders' psychogenic nonepileptic seizures diagnosis accuracy: Development and validation of a 6-item bedside diagnostic tool

OBJECTIVE

Epileptic seizures (ES) are often seen as a medical emergency, and their immediate and accurate recognition are pivotal in providing acute care. However, a number of clinical situations may mimic ES, potentially leading to misdiagnosis at the emergency room and to inappropriate prescription of antiepileptic drugs (AED) in the acute and chronic settings. Psychogenic nonepileptic seizures (PNES) play a major role in this scenario and often delay the correct diagnosis and increase treatment morbidity and cost. First responders often conduct the initial assessment of these patients, and their impression may be decisive in the prehospital approach to seizures. We sought to investigate and improve the accuracy of PNES diagnosis among professionals involved in the initial assistance to patients with seizures.

METHODS

Fifty-three registered nurses, 34 emergency physicians, 33 senior year medical students, and 12 neurology residents took a short training program consisting of an initial video-based seizure assessment test (pretest), immediately followed by a 30-minute presentation of a 6-item bedside diagnostic tool and then a video-based reassessment (posttest). Baseline status and learning curves were determined.

RESULTS

The distinct professional categories showed no significant differences in their ability to diagnose PNES on both pretests and posttests. All groups improved diagnostic skills after the instructional program.

SIGNIFICANCE

The findings helped determine the best identifiable PNES clinical signs and to provide initial validation to a novel diagnostic instrument. In addition, our results showed that educational measures might help in the identification of PNES by first responders, which may decrease the treatment gap.

Nonepileptic seizures - objective phenomena

This chapter describes the evaluation process for the diagnosis of psychogenic nonepileptic seizures (PNES), which is determined based on concordance of the composite evidence available, including historic and physical exam findings, seizure semiology, and ictal/interictal electroencephalogram (EEG). No single clinical feature is pathognomonic of PNES. The diagnosis of PNES can be at times challenging, such as when seizure documentation on video-EEG cannot be readily achieved. A multicomponent approach to the diagnosis of PNES, with use of all available evidence, may facilitate diagnosis and then care of patients with PNES. Emerging evidence supports the use of symptom identification by the patient as part of the treatment of these patients. With advances in diagnostic methods and criteria, the diagnosis of PNES can be made reliably.

The impact of receiving a diagnosis of Non-Epileptic Attack Disorder (NEAD): A systematic review

BACKGROUND

Clinicians have reported observations of the immediate cessation of non-epileptic attacks after the diagnosis of NEAD is presented.

OBJECTIVE

The purpose of this systematic review was to examine the impact of receiving a diagnosis of NEAD.

SEARCH STRATEGY

A literature search across the databases Medline, PsycINFO, EMBASE, and CINAHL, and additional hand searching, identified six original studies meeting criteria for the review.

SELECTION CRITERIA

Included studies were original peer-reviewed articles investigating the impact of receiving a diagnosis of NEAD on adult populations with at least one outcome measured pre- and post-diagnosis.

ANALYSIS

The studies were assessed for methodological quality, including biases. This assessment was developed to include criteria specific to research regarding NEAD and diagnosis.

RESULTS

Six identified studies, with a total of 153 NEAD participants, examined the impact of receiving a diagnosis on seizure frequency. Two of the six also examined the impact on health-related quality of life. The findings were inconsistent, with approximately half the participants experiencing seizure reduction or cessation post-diagnosis. Diagnosis appeared to have no significant impact on health-related quality of life. The overall evidence lacked quality, particularly in study design and statistical rigour.

CONCLUSIONS

Mixed results and a lack of high quality evidence were found. Concerns are considered regarding the appropriateness of seizure frequency as the primary outcome measure and the use of epilepsy control groups. Indications for future research include: measuring more meaningful outcomes, using larger samples and power calculations, and ensuring consistent and standard methods for communicating the diagnosis and recording outcomes.

Thoughts, emotions, and dissociative features differentiate patients with epilepsy from patients with psychogenic nonepileptic spells (PNESs)

Psychogenic nonepileptic spells (PNESs) are often very difficult to treat, which may be, in part, related to the limited information known about what a person experiences while having PNESs. For this retrospective study, thoughts, emotions, and dissociative features during a spell were evaluated in 351 patients diagnosed with PNESs (N=223) or epilepsy (N=128). We found that a statistically higher number of thoughts, emotions, and dissociative symptoms were endorsed by patients with PNESs versus patients with epilepsy. Patients with PNESs reported significantly more anxiety and frustration, but not depression, compared with those with epilepsy. Emotions and dissociations, but not thoughts, and a history of any type of abuse were endorsed significantly more often by patients with PNESs. Patients with PNESs are prone to having poor outcomes, and interventions focusing on their actual experiences may be helpful for treatment planning.

People with psychogenic non-epileptic seizures: A South African perspective

BACKGROUND

Psychogenic non-epileptic seizures (PNES) is a disabling disorder which has a negative effect on the quality of life of individuals with PNES. A clear understanding of the disorder is necessary, however, to date, research about PNES in South Africa is limited.

OBJECTIVES

The aims of this study were to explore the demographic variables of individuals with PNES in South Africa, to review the available body of research on PNES, and to compare it with our results.

METHOD

Twenty-two people with PNES, with confirmed video EEG, were recruited by means of convenience sampling from two hospitals. Descriptive statistics were used to describe the demographic variables of the participants.

RESULTS

Internationally comparable results revealed misdiagnoses and low treatment delivery amongst a primarily female population.

CONCLUSION

This study provided greater insight into individuals with PNES in South Africa, highlighting the need for more information, support, effective treatment and accurate diagnosis of PNES.

Panic attack symptoms differentiate patients with epilepsy from those with psychogenic nonepileptic spells (PNES)

Psychogenic nonepileptic spells (PNES) are frequently challenging to differentiate from epileptic seizures. The experience of panic attack symptoms during an event may assist in distinguishing PNES from seizures secondary to epilepsy. A retrospective analysis of 354 patients diagnosed with PNES (N=224) or with epilepsy (N=130) investigated the thirteen Diagnostic and Statistical Manual-IV-Text Revision panic attack criteria endorsed by the two groups. We found a statistically higher mean number of symptoms reported by patients with PNES compared with those with epilepsy. In addition, the majority of the panic attack symptoms including heart palpitations, sweating, shortness of breath, choking feeling, chest discomfort, dizziness/unsteadiness, derealization or depersonalization, fear of dying, paresthesias, and chills or hot flashes were significantly more frequent in those with PNES. As patients with PNES frequently have poor clinical outcomes, treatment addressing the anxiety symptomatology may be beneficial.

Closing the Major Gap in PNES Research: Finding a Home for a Borderland Disorder

Psychogenic nonepileptic seizures (PNES) are events commonly encountered by primary care physicians, neurologists, pediatricians, and emergency medicine physicians in their practices, yet there continues to be significant variability in the way they are evaluated, diagnosed, and treated. Lack of understanding this condition and limited data on long-term outcome from current treatment paradigms have resulted in an environment with iatrogenic injury, morbidity, and significant costs to the patient and healthcare system. This article will review the current state of research addressing PNES treatment both in the adult and pediatric populations.

Semiology of psychogenic nonepileptic seizures: age-related differences

The few studies addressing semiology of psychogenic nonepileptic seizures (PNES) in children showed that this group differs from adults, considering the classical signs described. Our study with systematic assessment provides a direct comparison of the classical signs of psychogenic nonepileptic seizures (PNESs) in children and adults in order to establish the usefulness of the most important signs described for adults in children. Video-EEG recordings of patients with PNESs from 2006 to 2011 were analyzed. Twenty-five signs were selected as the most prevalent in literature, and their presence was evaluated. Events were categorized as either of the following: catatonic, major motor, minor motor, and subjective (Griffith et al., 2007 [11]). One hundred and fifteen patients were included; 63.5% were adults, 73.2% were females, and 14.4% had epilepsy. Adults presented more ictal eye closure (p=0.006), convulsions lasting >2 min (p<0.001), postictal speech change (p=0.021), vocalization during the "tonic-clonic" phase (p=0.005), and pelvic thrust movement (p=0.035). Biting the tip or side of the tongue and opisthotonos were rare and only present in adults. As for the semiological categories, major motor activity was the main feature in adults, and minor motor activity was more prevalent among children (52.9% and 38.1%, respectively; p=0.01). Our data showed that research about the distinct ictal features of PNESs, such as minor motor events that are more typical in children, is likely to be useful in promoting earlier recognition of PNESs in this population.

Safety considerations in the epilepsy monitoring unit for psychogenic nonepileptic seizures

Injury occurs in epilepsy monitoring units (EMUs) to patients with epileptic seizures (ES); however, there are limited data regarding the safety concerns of patients with psychogenic nonepileptic seizures (PNES) being monitored in EMUs. We reviewed EMU records from 116 PNES and compared them to 170 ES. Three falls (2.6%) occurred in PNES without injury compared to 6 falls (3.5%) in ES with 1 injury, a facial hematoma. Of the 9 total falls, 8 patients were ambulatory during their events. Several adverse incidents occurred for both groups. Of the PNES without staff response, 30 of 39 were due to PNES being less than 60s in duration, and 16 of 39 involved lack of push-button activation to alert the staff. For the ES group, 57 of 101 were due to electrographic seizures without seizure detection software or push-button activation. Similar safety protocols should be administered while monitoring these patients regardless of seizure type.

Psychogenic nonepileptic seizures: a current overview

Psychogenic nonepileptic seizures (PNES) resemble epilepsy, but no pathophysiological explanation has been established. Although there have been recent advances in PNES research and various hypotheses as to the psychopathology, no theory has achieved general acceptance. In this overview of selected literature on PNES, we highlight the often contradictory findings that underline the challenges that confront both practitioner and researcher. We first provide a synopsis of the history, diagnosis, treatment, and outcomes, as well as patient characteristics of PNES and the relevance of communication in the clinical context. In the subsequent sections we discuss recent research that may advance the understanding and diagnosis of this disorder. These themes include the use of qualitative methods as a viable research option, the application of nonlinear methods to analyze heterogeneous observations during diagnosis, recent advances in neuroimaging of PNES, and the development of international databases.