Simultaneous occurrence of nonepileptic and epileptic seizures during a single period of in-patient video-electroencephalographic monitoring

Efficacy of verbal suggestion, verbal suggestion with a tuning fork, and verbal suggestion with a cotton swab for inducing the paroxysmal event during video-EEG recording in children with suspected psychogenic nonepileptic seizures

INTRODUCTION

Video-electroencephalogram (EEG) with suggestion is widely considered the gold standard for diagnosing psychogenic nonepileptic seizures (PNES). However, ethical concerns and uncertainties persist regarding the most minimally invasive and least deceptive suggestion approach.

MATERIALS AND METHODS

In an open-label randomized controlled trial, we evaluated the effectiveness of three suggestion methods (verbal suggestion, verbal suggestion with a tuning fork, and verbal suggestion with a cotton swab) during short-term video-EEG (STVEEG) recordings to induce PNES in children aged 5-18 years. If the paroxysmal event couldn't be elicited with the assigned method, alternative techniques were employed.

RESULTS

Out of 97 initially screened children, 75 were enrolled, with 25 in each group. The efficacy of all three suggestion methods was comparable in reproducing paroxysmal events (success rate of 16/25, 17/25 and 17/25 in verbal suggestion only, verbal suggestion with tuning fork and sterile cotton swab group respectively, p = 0.83) and the time required for induction (median of 2, 3 and 3 min respectively, p = 0.21). After trying alternative methods, 20 %, 12 %, and 12 % more patients in these three groups, respectively, were able to reproduce the paroxysmal event, with the differences not reaching statistical significance (p = 0.74). The assigned induction method or the success/failure of event reproduction did not significantly impact clinical outcomes at 12 weeks, and none of the patients in whom PNES could not be reproduced during STVEEG were later found to have an organic cause. Only the presence of psychiatric comorbidity independently predicted successful event reproduction during STVEEG, with statistical significance even after adjusting for other variables (p = 0.03).

CONCLUSION

The efficacy of verbal suggestion alone in inducing paroxysmal nonepileptic seizures is on par with using a tuning fork or cotton swab in conjunction with verbal suggestion during STVEEG.

Functional Neurological Disorder-Old Problem New Perspective

Functional neurological disorder (FND) is a common issue in the pediatric population. The concept and our understanding of functional neurological disorders have changed over the past years, and new etiologic models and treatment plans have been explored. Knowledge about FND in the pediatric population, however, is lacking. The aim of this review is to provide an update on pediatric functional neurological disorder. We conducted a literature search of PubMed and SCOPUS databases and reviewed a total of 85 articles to gain insight into the current understanding of FND etiology, diagnosis, treatment, and prognosis in children and adolescents. Functional and high resolution MRI revealed abnormal connectivity and structural changes in patients with functional symptoms. The diagnostic criteria no longer require the presence of a psychological factor and instead focus on a rule-in diagnosis. Treatment of FND includes a clear communication of the diagnosis and the support of a multidisciplinary team. Although FND typically has a poor prognosis, better outcomes appear to have been achieved in children and young adults. We conclude that pediatric functional neurological disorder is a prevalent pathology and that this patient population has additional specific needs compared to the adult population.

Traumatic brain injury: Mechanisms, manifestations, and visual sequelae

Traumatic brain injury (TBI) results when external physical forces impact the head with sufficient intensity to cause damage to the brain. TBI can be mild, moderate, or severe and may have long-term consequences including visual difficulties, cognitive deficits, headache, pain, sleep disturbances, and post-traumatic epilepsy. Disruption of the normal functioning of the brain leads to a cascade of effects with molecular and anatomical changes, persistent neuronal hyperexcitation, neuroinflammation, and neuronal loss. Destructive processes that occur at the cellular and molecular level lead to inflammation, oxidative stress, calcium dysregulation, and apoptosis. Vascular damage, ischemia and loss of blood brain barrier integrity contribute to destruction of brain tissue. This review focuses on the cellular damage incited during TBI and the frequently life-altering lasting effects of this destruction on vision, cognition, balance, and sleep. The wide range of visual complaints associated with TBI are addressed and repair processes where there is potential for intervention and neuronal preservation are highlighted.

A retrospective study of the correlation between duration of monitoring in the epilepsy monitoring unit and diagnostic yield

OBJECTIVE

Long-term video-electroencephalographic (LTVEM) monitoring is a valuable tool in the evaluation of paroxysmal clinical events. However, vEEG itself is costly. Hence, we aimed to establish if longer duration of monitoring (DOM) is associated with higher diagnostic yield.

METHOD

A retrospective review of patients admitted into the epilepsy monitoring unit (EMU) for the diagnostic evaluation of paroxysmal events was performed. Patients' demographic, clinical characteristics, and vEEG data were analyzed. In the cohort of patients with DOM > 7 days, the reasons for prolonged DOM were identified and the differences in clinical characteristics and vEEG data between conclusive and inconclusive studies were analyzed.

RESULT

A total of 501 patients were included. Four hundred and thirty-six (87 %) patients had conclusive studies. Of these patients, 67.9 % patients with conclusive studies received diagnosis within the first 7 days of monitoring with the highest on day 7. The likelihood of conclusive studies decreased beyond 7 days. A total of 175 had DOM > 7 days, of which 140 (80 %) had conclusive studies. In the cohort with DOM > 7 days, patients with previous abnormal routine EEG, previous vEEG monitoring, first event recorded before day 5 of admission and ≥1 events recorded during vEEG monitoring were more likely to have conclusive studies. The most common reason for prolonging DOM beyond 7 days was to adequately record multiple semiologically distinctive events (76 %).

CONCLUSION

Our study supports that longer DOM is associated with an increase in diagnostic yield. More than one-third of our cohort were monitored beyond 7 days with majority (80 %) being conclusive. Our findings may guide clinicians in planning the DOM and predicting the likelihood of conclusive vEEG studies in patients with prolonged DOM based on the clinical characteristics and vEEG data.

Factors associated with comorbid epilepsy in patients with psychogenic nonepileptic seizures: A large cohort study

OBJECTIVE

Comorbid epilepsy and psychogenic nonepileptic seizures (PNES) occur in 12-22% of cases and the diagnosis of both simultaneous disorders is challenging. We aimed to identify baseline characteristics that may help distinguish patients with PNES-only from those with comorbid epilepsy.

METHODS

We performed a longitudinal cohort study on those patients diagnosed with PNES in our epilepsy monitoring unit (EMU) between May 2001 and February 2011, prospectively followed up until September 2016. Patients were classified into PNES-only, PNES + possible or probable epilepsy, and PNES + definite epilepsy based on the clinical, vEEG, and neuroimaging data. Demographic and basal clinical data were obtained from chart review. Multiple regression models were performed to identify significant predictors of PNES + definite epilepsy, excluding patients with only possible or probable epilepsy for this specific analysis.

RESULTS

One-hundred and ninety four patients with PNES-only, 30 with PNES + possible or probable epilepsy and 47 with PNES + definite epilepsy were included. 73.8% were female and the mean age at EMU admission was 37.4 ± standard deviation 13.5 years. Patients with PNES + definite epilepsy most likely had never worked, had history of febrile seizures, structural brain lesions, developmental disabilities, and maximum reported seizure duration between 0.5 and 2 min. Patients with PNES-only were on fewer anti-seizure medications (ASM), reported more frequently an initial minor head trauma, seizures longer than 10 min, and a higher number of neurological and medical illnesses - being migraine (18.1%), other types of headaches (18.5%), and asthma (15.5%) the most prevalent ones. All p < 0.05. On the hierarchical regression analysis, history of febrile seizures, developmental disabilities, brain lesions, longest reported seizure duration between 0.5 and 2 min, and lack of neurological comorbidity, remained as significant predictors of PNES + epilepsy. The model's performance of a 5-fold cross-validation analysis showed an overall accuracy of 84.7% to classify patients correctly.

CONCLUSIONS

Some demographic and clinical characteristics may support the presence of comorbid epilepsy in patients with PNES, being unemployment, the presence of brain lesions, developmental disabilities, history of febrile seizures, seizure duration and lack of comorbid headaches the most relevant ones.

Functional (psychogenic non-epileptic/dissociative) seizures: why and how?

Functional seizures (FS) known also as psychogenic non-epileptic seizures or dissociative seizures, present with ictal semiological manifestations, along with various comorbid neurological and psychological disorders. Terminology inconsistencies and discrepancies in nomenclatures of FS may reflect limitations in understanding the neuropsychiatric intricacies of this disorder. Psychological and neurobiological processes of FS are incompletely understood. Nevertheless, important advances have been made on underlying neuropsychopathophysiological mechanisms of FS. These advances provide valuable information about the underlying mechanisms of mind-body interactions. From this perspective, this narrative review summarises recent studies about aetiopathogenesis of FS at two levels: possible risk factors (why) and different aetiopathogenic models of FS (how). We divided possible risk factors for FS into three categories, namely neurobiological, psychological and cognitive risk factors. We also presented different models of FS based on psychological and neuroanatomical understanding, multilevel models and integrative understanding of FS. This work should help professionals to better understand current views on the multifactorial mechanisms involved in the development of FS. Shedding light on the different FS profiles in terms of aetiopathogenesis will help guide how best to direct therapy, based on these different underlying mechanisms.

Clinical physiologists' experiences of working with people with nonepileptic attack disorder: A qualitative study

OBJECTIVES

To explore the perspectives of clinical physiologists on working with patients with nonepileptic attack disorder (NEAD). Nonepileptic attack disorder is a medically unexplained symptom frequently encountered by clinical physiologists in the field of neurophysiology. Studies in healthcare professionals show that they often find patients with medically unexplained symptoms challenging, uncomfortable, and frustrating to interact with. Clinical physiologists spend a substantial amount of time with patients and are key to the assessment of the condition. It is not known how physiologists experience working with patients with NEAD.

METHODS

Semi-structured interviews were conducted with clinical physiologists who frequently work with these patients. Interviews were recorded, transcribed, and analyzed according to grounded theory methodology.

RESULTS

Twelve participants including current trainees and qualified clinical physiologists working in neurophysiology were interviewed for the study. Participants described the experience of working with people with NEAD as anxiety provoking and unpredictable. The sources of this anxiety were the nature of the psychological aspects of the condition, the need to preserve professional boundaries and a lack of preparedness to manage conversations about distress or the psychological factors impacting the NEAD.

CONCLUSIONS

There is a risk that patient care is compromised by the lack of preparation and skills training of physiologists.

PRACTICE IMPLICATIONS

Physiologists need further training in counseling skills to increase tolerance to emotionally laden content in patient accounts and knowledge of suitable referral routes.

Long-Term V-EEG in Epilepsy: Chronological Distribution of Recorded Events Focused on the Differential Diagnosis of Epileptic Seizures and Psychogenic Non-Epileptic Seizures

Differential diagnosis in epilepsy is sometimes challenging. Video-electroencephalography (V-EEG) is an essential tool in the diagnosis and management of epilepsy. The prolonged duration of V-EEG recording increases the diagnostic yield of a conventional V-EEG. The right length of monitoring for different indications is still to be established. We present a retrospective descriptive study with a sample of 50 patients with long-term V-EEG monitoring, with a mean age of 36.1 years, monitored from 2013 to 2019 at the Burgos University Hospital. The mean monitoring time was 3.6 days. Events were obtained in 76% of the patients, corresponding to epileptic seizures (ES) in 57.9% of them, with psychogenic non-epileptic seizures (PNES) in 39.5%, and with episodes of both pathologies in 2.6% of the patients. We found that the first event was highly representative, and it correlated with the rest of the events that would be recorded. Moreover, 92% of the first PNES had been captured at the end of the second day, and 89% of the first ES by the end of the third day. V-EEG for differential diagnosis between ES and PNES can be performed in hospitals without specialized epilepsy surgery units. For this indication, the duration of long-term V-EEG can be adjusted individually depending on the nature of the first event.

Distinguishing psychogenic nonepileptic, mixed, and epileptic seizures using systemic measures and reported experiences

OBJECTIVES

Our primary objective was to better discern features that can differentiate people with 'mixed' symptomatology from those who experience epileptic seizures (ES) or functional/psychogenic nonepileptic seizures (PNES) alone, in a population of patients referred for video-telemetry. We wished to see if we could establish the prevalence of PNES in this population of interest as well as compare both objective (e.g. videotelemetry reports and heart rate measurements) and subjective, patient-centered measures (reported symptoms and experiences).

METHODS

Data were sourced from a database of all video-telemetry patients admitted to the John Radcliffe Hospital (Oxford, UK) between 1st Jan 2014 and 31st Jan 2016; video-electroencephalogram (vEEG) reports for the above patients; neurology clinic letters; multidisciplinary Team (MDT) reports; psychology assessments and patient notes for all vEEG patients referred for surgical work up. Mixed cases with a dual ES/PNES diagnosis were carefully evaluated again by the Consultant Neurologist under whose care each respective patient was, through case-by-case evaluation of EEG and telemetry reports. We compared mean heart rate during attacks captured on vEEG, number of physical symptoms reported, episode length, and postictal confusion between the three groups (ES; PNES; ES and PNES (mixed)). We evaluated the groups in terms of demographic and psychological parameters as well as prescription of anti-seizure medication. Pearson correlation significance was examined at 95% level of significance for p-values corrected for multiple comparisons.

RESULTS

Overall, mixed cases reported experiencing a significantly lower number of physical symptoms compared to PNES cases (p = 0.018). The heart rate of PNES cases was significantly lower than that of mixed cases during the attacks (p = 0.003). ES patients exhibited the highest heart rate of all three groups and a greater degree of postictal confusion (adjusted p = 0.003 and p < 0.001, respectively) compared to those with PNES. There was no statistically significant difference in episode length between mixed and ES cases, while PNES patients had significantly longer episode duration (p = 0.021) compared to the mixed group. We noted that 81.6% of PNES patients were taking at least one anti-seizure medication.

CONCLUSION

Patients with mixed seizures seem to be part of a spectrum between ES and PNES cases. Mixed cases are more similar to the ES group with regard to episode length and number of symptoms reported. In the PNES cohort, we found an over-reporting of ictal symptoms (e.g. palpitations, diaphoresis) disproportionate to recorded heart rate, which is lower in PNES than in epileptic attacks. This seems consistent with PNES cases experiencing a degree of impaired interoceptive processing, as part of a functional disorder spectrum. We noted that there was tendency for overmedication in the PNES group. The need for 'de-prescribing' should be addressed with measures that include better liaison with the community care team. With regard to potential autonomic dysregulation in the mixed cases, it might be interesting to see if vagus nerve stimulation could be accompanied by normalization of cardiovascular physiology parameters for people with both epileptic and psychogenic nonepileptic seizures.

Surgical outcome of a female patient with comorbid epilepsy and psychogenic non-epileptic seizures confirmed with video-EEG monitoring

Despite common comorbidities of epileptic seizure (ES) and psychogenic nonepileptic seizure (PNES), reports regarding the clinical management of the two coexisting disorders have traditionally only focused on non-surgical approaches such as medication and psychotherapy. Epileptogenic zonectomy following comprehensive presurgical evaluation could lead to seizure control and even seizure free in refractory epilepsy patients. However, its effect on PNES which is of clinical significance remains to be explored. Here, we present a favorable surgical outcome in a middle-aged woman with refractory epilepsy with concomitant video-electroencephalograph-confirmed PNES. The patient has been ES free post right-sided anterior temporal lobectomy with unchanged antiepileptic medication. Meanwhile, remarkable improvement of her PNES has been reported although she did not undergo psychiatric or psychological therapy following surgery. The treatment success achieved in this case suggests that comorbid PNES should not deprive patients with intractable epilepsy patients a chance to undergo surgical intervention if their epileptogenic zones could be identified during presurgical evaluation. Some patients could obtain relieves of both ES and PNES from appropriately performed epilepsy surgery. Nevertheless, the mechanisms underlying the findings in this report are still unknown. Further study is needed to investigate whether epileptogenic zonectomy itself or the patient's positive mood brought by ES control contributes to postoperative alleviation of PNES.

Differentiating psychogenic nonepileptic seizures from epileptic seizures: An observational study of patients undergoing video-electroencephalography (VEEG) in Australia

Video-electroencephalography (VEEG) is an invaluable tool for the differentiation of psychogenic nonepileptic seizures (PNES) from epileptic seizures (ES). This paper (i) evaluates the demographics of patients undergoing VEEGs at the Princess Alexandra Hospital from July 1 2017 to July 1 2019 and identifies those subsequently diagnosed with PNES, (ii) determines the delay in PNES diagnosis and proportion of PNES patients on antiepileptic drugs (AEDs) prior to a VEEG, and (iii) determines the proportion of PNES patients who subsequently ceased their AEDs. Of the 94 patients in the study group, 51 were female and 43 were male. In total, 22 (23%) of VEEGs were consistent with epilepsy (ES), 25 (26%), with PNES, 5 (5%) mixed (PNES and ES), 5 (5%) with other types of events, and 37 were nondiagnostic. Two patients with non-diagnostic VEEGs were subsequently treated as PNES at the treating clinician's discretion. Regarding AEDs, 62 of the patients were on at least one agent at the time of VEEG recording. The mean durations of AED therapy and diagnostic delay for patients subsequently diagnosed with PNES were six years and seven years, respectively. Of these, the majority had their AEDs subsequently weaned/ceased. This study highlights the value of VEEG in diagnostic differentiation of epileptic from nonepileptic events, thereby preventing unnecessary AED therapy for patients with PNES. The results are consistent with previous studies in the literature evaluating VEEG clinical outcomes.

Latency to First Event is Shorter in Psychogenic Non-epileptic Seizures than in Epileptic Seizures in an Epilepsy Monitoring Unit

Objective: The objective was to study latency to first event among patients with psychogenic nonepileptic seizures compared (PNES) to epileptic seizures (ES) in an epilepsy monitoring unit (EMU). Introduction: PNES are common imitators of ES. This study investigates latency to first event in patients with PNES compared to patients with ES. Methods: We performed a retrospective chart review of patients admitted to our EMU from March 2016 to October 2017. We identified patients with PNES and ES. Patients with other nonepileptic events and mixed PNES (epilepsy plus PNES) were excluded. Patient demographics, baseline seizure frequency, length of EMU stay and time from admission to first event were recorded. Results: In total, 111 patients with PNES and 121 patients with ES were included. The mean age (in years) was 42 and 38, respectively. The average baseline seizure frequency was four times higher in the PNES group than the ES group. Greater than half (52%) of the patients with PNES and about one third (38%) of the patients with ES had an event within the first 24 hours. The average time to first event was 20.88 hours for the PNES group and 30.99 hours for the ES group (p<0.01). The median latency to first event was 14 hours for the PNES group and 23 hours for the ES group. The average length of EMU stay was significantly longer in the ES group (70.82 hours) than the PNES group (53.95 hours). Conclusion: The average time to first event is shorter for PNES than in ES. In patients with high pre-EMU clinical suspicion for PNES, relatively shorter EMU monitoring (24 to 48 hours) can confirm diagnosis. This phenomenon might improve cost-effectiveness of EMU monitoring in patients with PNES.

Can short-term video-EEG substitute long-term video-EEG monitoring in psychogenic nonepileptic seizures? A prospective observational study

BACKGROUND

Psychogenic nonepileptic seizures (PNES), the commonest nonepileptic event, represent 20-30% of drug-resistant epilepsy. Correct identification of PNES avoids unnecessary hospitalization and exposure of antiepileptic drugs (AEDs), and helps implement appropriate psychological treatment. Long-term video-electroencephalography (LTVEEG) is the gold standard test to diagnose PNES. However, in a poor-resource country like India, hypothetically, short-term video-electroencephalography (STVEEG) may substitute it, as its usefulness is established in attack disorders.

OBJECTIVE

The objective of this study was to evaluate effectiveness of STVEEG in PNES and to look into their clinical profile and outcome.

DESIGN/METHODS

Consecutive cases of PNES diagnosed with STVEEG or LTVEEG during 2015-16 (two years) were enrolled. All cases were followed for 12 months or more. Detailed clinical evaluation was done including demography, semiology, coexisting anxiety/depressive disorders, and seizure frequency at time of first diagnosis and follow-up. The PNES were classified as Type I hypermotor, type II hypomotor, and type III unclassified/mixed. Favorable outcome was defined as seizure freedom or >50% reduction in seizure frequency while unfavorable outcome was defined as <50% reduction in seizure frequency on follow-up at 6 and 12 months.

RESULTS

Among 57 patients with PNES [median age of onset 24 years (10-69 years), F:M ratio = 7:3)], STVEEG ± induction could record event(s) in 80.7% while the rest required LTVEEG to confirm diagnosis. Among 82 events analyzed, the mean ± 2 standard deviation (SD) duration of events was 5'14″ ± 13'4″. Sixty-two (75.6%) and 10 (12.1%) events were hypermotor and hypomotor respectively, while 10 (12.1%) were unclassified/mixed. Forty-five (79%) patients had pure PNES, while 12 (21%) had coexistent epilepsy. Forty-nine (86%) and 54 (94.7%) patients had statistically significant reduction of seizure frequency (favorable outcome), at 6 and 12 months of follow-up respectively, while the rest had an unfavorable outcome.

CONCLUSIONS

The STVEEG has a remarkably good yield in diagnosing PNES, and it may be used when LTVEEG is not feasible. However, further studies are needed to show if it can substitute LTVEEG in PNES.