Psychogenic non-epileptic seizures--definition, etiology, treatment and prognostic issues: a critical review

Comparative study of perceived invalidating environment and stress coping strategies between patients with drug resistant epilepsy and functional dissociative seizures

BACKGROUND AND OBJECTIVES

We investigated perceived invalidating environment during childhood and stress-coping strategies in patients with; functional dissociative seizures (FDS, n=26), drug-resistant epilepsy patients with no psychiatric comorbidity (DREnc, n=23), and drug-resistant epilepsy patients with psychiatric comorbidity (DREpc, n=34).

DESIGN/METHODS

We performed a cross-sectional study. Patients underwent Video Electroencephalography to confirm the diagnosis and completed a psychiatric assessment supported by clinical instruments. Invalidating environment and stress coping were studied through the ICES and CAE questionaries, respectively. A series of multinomial logistic regression analyses were performed with the explored variables.

RESULTS

The maternal negative response model predicted a higher probability of FDS condition. A chaotic family type increased the likelihood of DREpc instead of FDS. DREpc and FDS patients displayed many different behaviors to cope with stress other than trying to solve the problem, the most used strategy in the DREnc group. Parental invalidation was higher in DREpc than in FDS.

CONCLUSIONS

Our results deepen the data provided by previous studies indicating that multiple variables of biosocial origin have significant effects on these groups of patients. The presence of an invalidating environment may predict FDS but also the presence of psychiatric disorders among DRE. Psychotherapeutic strategies to enhance these variables might be necessary for this population.

Decreased uncinate fasciculus integrity in functional seizures following traumatic brain injury

OBJECTIVE

The uncinate fasciculus (UF) has been implicated previously in contributing to the pathophysiology of functional (nonepileptic) seizures (FS). FS are frequently preceded by adverse life events (ALEs) and present with comorbid psychiatric symptoms, yet neurobiological correlates of these factors remain unclear. To address this gap, using advanced diffusion magnetic resonance imaging (dMRI), UF tracts in a large cohort of patients with FS and pre-existing traumatic brain injury (TBI + FS) were compared to those in patients with TBI without FS (TBI-only). We hypothesized that dMRI measures in UF structural connectivity would reveal UF differences when controlling for TBI status. Partial correlation tests assessed the potential relationships with psychiatric symptom severity measures.

METHODS

Participants with TBI-only (N = 46) and TBI + FS (N = 55) completed a series of symptom questionnaires and MRI scanning. Deterministic tractography via diffusion spectrum imaging (DSI) was implemented in DSI studio (https://dsi-studio.labsolver.org) with q-space diffeomorphic reconstruction (QSDR), streamline production, and manual segmentation to assess bilateral UF integrity. Fractional anisotropy (FA), radial diffusivity (RD), streamline counts, and their respective asymmetry indices (AIs) served as estimates of white matter integrity.

RESULTS

Compared to TBI-only, TBI + FS participants demonstrated decreased left hemisphere FA and RD asymmetry index (AI) for UF tracts (both p < .05, false discovery rate [FDR] corrected). Additionally, TBI + FS reported higher symptom severity in depression, anxiety, and PTSD measures (all p < .01). Correlation tests comparing UF white matter integrity differences to psychiatric symptom severity failed to reach criteria for significance (all p > .05, FDR corrected).

SIGNIFICANCE

In a large, well-characterized sample, participants with FS had decreased white matter health after controlling for the history of TBI. Planned follow-up analysis found no evidence to suggest that UF connectivity measures are a feature of group differences in mood or anxiety comorbidities for FS. These findings suggest that frontolimbic structural connectivity may play a role in FS symptomology, after accounting for prior ALEs and comorbid psychopathology severity.

Maladaptive personality traits in patients with epilepsy and psychogenic non-epileptic seizures

OBJECTIVE

We aimed to evaluate the sociodemographic, clinical, and psychological characteristics associated with psychogenic non-epileptic seizures (PNES) in patients with epilepsy, with particular emphasis on the personality profile assessed from a dimensional perspective.

METHODS

The cohort study included 77 consecutive inpatients with active epilepsy aged 36-55 years; 52 (67.5%) were female. The presence of PNES was confirmed by video-EEG monitoring. All patients underwent the Mini-International Neuropsychiatric Interview to diagnose psychiatric disorders. All participants completed the Neurological Disorders Depression Inventory in Epilepsy, the Epilepsy Anxiety Survey Instrument - brief version, and the Personality Inventory for DSM-5 and ICD-11 Brief Form Plus Modified. Chi-square and Fisher's exact tests were used to compare categorical variables, and the Brunner-Munzel test was used for quantitative variables.

RESULTS

Twenty-four patients (31.2%) had both epilepsy and PNES. There were no significant differences in social, demographic or clinical characteristics, psychiatric diagnoses or depression severity. Compared to patients with epilepsy alone, patients with epilepsy and PNES had higher anxiety scores and more pronounced maladaptive personality traits such as disinhibition and psychoticism.

SIGNIFICANCE

The main novelty of our study is that using the recently proposed dimensional approach to personality disorders and an appropriate instrument we assessed all personality domains listed in two of the most widely used classifications of mental disorders (DSM-5 and ICD-11) in PWE with and without PNES. To our knowledge, this is the first study to demonstrate the association of the maladaptive traits of psychoticism and disinhibition with the development of PNES in PWE.

Medication use in patients with functional seizures from a public and a private hospital

PURPOSE

Currently, we have limited knowledge of any potential differences among patients with functional seizures (FS), otherwise known as psychogenic non-epileptic seizures (PNES), from different socioeconomic backgrounds. Investigating medication use among these patients may provide insight into the quality and intensity of medical care they receive. Thus, we aimed to assess and compare the frequency and quantity of antiseizure medications (ASMs), and psychiatric and other medications used among patients with FS from a private and public epilepsy monitoring units (EMUs) in Cape Town, South Africa.

METHODS

Only video-electroencephalographically (video-EEG) confirmed patients with FS with no comorbid epilepsy were eligible for the study. For this retrospective case-control study we collected data on patients' medication-taking histories using digital patient records, starting with the earliest available digital patient record for each hospital.

RESULTS

A total of 305 patients from a private hospital and 67 patients from a public hospital were included in the study (N = 372). Patients with FS attending the public hospital had lower odds of taking any ASMs at presentation (aOR=0.39, 95% CI [0.20, 0.75]) and ever taking psychiatric medications (aOR=0.41, 95% CI [0.22, 0.78]) compared to FS patients from the private hospital. They did, however, have higher odds of being discharged with an ASM (aOR=6.60, 95% CI [3.27, 13.35]) and ever taking cardiovascular medication (aOR=2.69, 95% CI [1.22, 5.90]) when compared to the private hospital patients. With every additional presenting ASM (aOR=0.63, 95% CI [0.45, 0.89]) and psychiatric medication (aOR=0.58, 95% CI [0.40, 0.84]) the odds of being from the public hospital decreased. However, they increased with every additional discharge ASM (aOR=3.63, 95% CI [2.30, 5.72]) and cardiovascular medication (aOR=1.26, 95% CI [1.02, 1.55]).

CONCLUSION

Standard approaches to pharmacological treatment for patients with FS differed between the public and private hospitals and may indicate a gap in quality of care.

The assessment of the knowledge and practices of healthcare providers regarding paroxysmal non-epileptic events (PNES) in children: A cross-sectional study

OBJECTIVE

Paroxysmal non-epileptic events (PNEs) are a group of disorders that may be misdiagnosed as epilepsy. This study has aimed to assess the knowledge and practices of family physicians and pediatricians regarding the diagnosis, treatment, and follow-up of PNEs in children.

METHODS

The study was designed as a prospective cross-sectional study that was conducted between March 1, 2022, and June 1, 2022, by reaching pediatric specialists and assistants, family physicians, subspecialty assistants, and subspecialists using a Google questionnaire. The survey consists of 26 questions. The questionnaire used by the researchers was prepared in accordance with the literature search and it included detailed questions on the diagnosis, treatment, and differential diagnosis of PNEs.

RESULTS

A total of 37.3% worked as specialists. Most of the participants (41.3%) have worked in training and research hospitals, and 44.3% have been physicians for 6-10 years. The mean and standard deviation for the total score were 10.1 ± 2.6. The scores of family physicians were statistically lower than those of specialists, subspecialty assistants, and subspecialists. A total of 67.2% left the decision of whether the patient should stop taking their medication to another clinician. 45% of the doctors said that they were uncomfortable with the diagnosis.

SIGNIFICANCE

The study findings emphasized the significant knowledge gap among healthcare providers regarding PNEs in children, highlighting the need for targeted educational interventions to improve their understanding and diagnostic skills in this area.

How Does Trauma Make You Sick? The Role of Attachment in Explaining Somatic Symptoms of Survivors of Childhood Trauma

Exposure to traumatic events during childhood is common, and the consequences for physical and mental health can be severe. Adverse childhood experiences (ACEs) such as physical abuse, sexual abuse, emotional abuse, and neglect appear to contribute to the onset and severity of a variety of somatic inflictions, including obesity, diabetes, cancer, and heart disease. The aim of this scoping review was to try to gain insight into how this might occur. Given the evidence of indirect (i.e., through unhealthy behaviours such as excessive drinking or poor eating habits) and direct (i.e., through its impact on the endocrine, immune, and cardiovascular systems as well as on the brain) effects of attachment on health, we examined the possibility that insecure attachment might contribute to the development of somatic symptoms in adult survivors of childhood trauma. Eleven studies met our inclusion criteria. Findings from this review suggest that insecure and disorganized attachment orientations are related to DNA damage, metabolic syndrome and obesity, physical pain, functional neurological disorder, and somatization in adults exposed to childhood trauma. We discuss the implications of this for the conceptualization and treatment of trauma and stress disorders.

Development and validation of a peripheral cell ratio and lactate score for differentiating status epilepticus from prolonged psychogenic nonepileptic seizures

OBJECTIVE

Differentiating status epilepticus (SE) from prolonged psychogenic nonepileptic seizures (pPNES) can be difficult clinically. We aimed to define the utility of peripheral cell counts, cell ratios, and lactate levels in distinguishing SE from pPNES.

METHODS

Retrospective two-center study investigating the sensitivity and specificity of acute (≤12 h of event offset) peripheral cell counts, cell ratios (neutrophil-lymphocyte ratio, neutrophil-monocyte ratio, monocyte-lymphocyte ratio, platelet-lymphocyte ratio, systemic immune-inflammatory index [SII], systemic inflammatory response index [SIRI]), and lactate levels in differentiating SE from pPNES. Patients were identified from two tertiary hospitals, with one forming the development cohort and the other the validation cohort. Using generalized additive models to generate biomarker vs time curves, optimal blood collection times were defined for set parameters. Three diagnostic scores combining neutrophil count, SII, or SIRI with lactate levels were developed and validated in separate cohorts.

RESULTS

For the development cohort, 1262 seizure-like events were reviewed and 79 SE and 44 pPNES events were included. For the validation cohort, 241 events were reviewed and 20 SE and 11 pPNES events were included. Individually, the biomarkers generally had low sensitivity and reasonable specificity for differentiating SE from pPNES, with the neutrophil count, SIRI, and SII performing best with sensitivities of 0.65-0.84, specificities of 0.64-0.89, and ROC AUCs of 0.78-0.79. Lactate levels peaked at 60 min, while cell counts and ratios peaked after 240 min. Combining early peaking lactate levels and later peaking neutrophil count, SIRI or SII resulted in three scores that improved predictive potential with sensitivities of between 0.75 and 0.79, specificities between 0.93 and 1.00, and ROC AUCs of 0.89-0.91.

SIGNIFICANCE

Lactate levels peak early post-SE, whereas cell counts and ratios do so later. The differing post-event time profiles of lactate levels vs neutrophil count, SIRI, and SII allow incorporation into three separate scores which can assist in differentiating SE from pPNES.

Personality traits related to cognitive functioning in patients with functional neurological disorder

Cognitive symptoms are prevalent in patients with functional neurological disorder (FND). Several studies have suggested that personality traits such as neuroticism may play a pivotal role in the development of FND. FND has also been associated with alexithymia: patients with FND report difficulties in identifying, analyzing, and verbalizing emotions. Whether or not alexithymia and other personality traits are associated with cognitive symptomatology in patients with FND is unknown. In the current study, we explored whether the Big Five personality model factors (neuroticism, extraversion, openness, agreeableness, and conscientiousness) and alexithymia were associated with cognitive functioning in FND. Twenty-three patients with FND were assessed using a neuropsychological assessment and questionnaire assessment to explore personality traits (Neuroticism-Extraversion-Openness Five-Factor Inventory) and alexithymia (Bermond-Vorst Alexithymia Questionnaire). The results indicated that high conscientiousness was associated with lower planning scores (ρ = -0.52, p = .012) and high scores on alexithymia were associated with lower scores on verbal memory scores (ρ = -0.46, p = .032) and lower sustained attention scores (ρ = -0.45, p = .046). The results did not remain significant after controlling for multiple testing. The preliminary results of our study suggest that personality and cognitive symptomatology in patients with FND are topics that should be further explored in future studies, as cognitive symptomology can affect treatment results.

Differentiation of epilepsy and psychogenic nonepileptic events based on body fluid characteristics

OBJECTIVE

Differential diagnosis between epileptic seizures and psychogenic nonepileptic events (PNEEs) is a worldwide problem for neurologists. The present study aims to identify important characteristics from body fluid tests and develop diagnostic models based on them.

METHODS

This is a register-based observational study in patients with a diagnosis of epilepsy or PNEEs at West China Hospital of Sichuan University. Data from body fluid tests between 2009 and 2019 were used as a training set. We constructed models with a random forest approach in eight training subsets divided by sex and categories of tests, including electrolyte, blood cell, metabolism, and urine tests. Then, we collected data prospectively from patients between 2020 and 2022 to validate our models and calculated the relative importance of characteristics in robust models. Selected characteristics were finally analyzed with multiple logistic regression to establish nomograms.

RESULTS

A total of 388 patients, including 218 with epilepsy and 170 with PNEEs, were studied. The AUROCs of random forest models of electrolyte and urine tests in the validation phase achieved 80.0% and 79.0%, respectively. Carbon dioxide combining power, anion gap, potassium, calcium, and chlorine in electrolyte tests and specific gravity, pH, and conductivity in urine tests were selected for the logistic regression analysis. C (ROC) of the electrolyte and urine diagnostic nomograms achieved 0.79 and 0.85, respectively.

SIGNIFICANCE

The application of routine indicators of serum and urine may help in the more accurate identification of epileptic and PNEEs.

Dostoevsky, The Brothers Karamazov, and Epilepsy

Fyodor Mikhailovich Dostoevsky was a brilliant nineteenth-century Russian novelist who had a seizure disorder that influenced his life and his creativity. His novels explore issues of love, faith, doubt, morality and reflect his personal experience with epilepsy. He was a keen observer of familial psychodynamics. The Brothers Karamazov (1880)was Dostoyevsky's longest and last novel, completed just a few months before his death from a pulmonary hemorrhage, most likely related to his life-long habit of cigarette smoking. In this novel, he explores the subtility of interpersonal relationships and the psychopathology within the Karamazov family and how one of the three brothers, Smerdyakov, uses psychogenic non-epileptic seizures as an alibi to get away with the perfect crime of patricide.

Telemedicine for Individuals with epilepsy: Recommendations from International League Against Epilepsy Telemedicine Task Force

Worldwide, People with Epilepsy (PWE) are confronted with several barriers to face-to-face consultations. These obstacles hamper appropriate clinical follow-up and also increase the treatment gap for Epilepsy. Telemedicine holds the potential to enhance management as follow-up visits for PWE are focused on more on clinical history and counselling rather than physical examination. Besides consultation, telemedicine can also be used for remote EEG diagnostics and tele-neuropsychology assessments. In this article, the Telemedicine Task Force of the International League Against Epilepsy (ILAE) outlines recommendations regarding optimal practice in utilizing in the management of individuals with epilepsy. We formulated recommendations for minimum technical requirements, preparing for the first tele-consultation and the specificities for follow-up consultations. Special considerations are necessary for specific populations, including paediatric patients, patients who are not conversant with tele-medicine and those with intellectual disability. Telemedicine for individuals with epilepsy should be vigorously promoted with the aim of improving the quality of care and ultimately reduce the wide clinician access related treatment gap across several regions of the globe.

Frequency and economic burden of psychogenic non-epileptic seizures in patients applying for disability benefits due to epilepsy

BACKGROUND

Psychogenic non-epileptic seizures (PNES) resemble epileptic seizures and are often misdiagnosed as epilepsy.

OBJECTIVE

To investigate the frequency of PNES and to calculate the economic burden of the patients who admitted to video-electroencephalographicmonitoring (VEM) to obtain a diagnosis of epilepsy in order to apply for disability retirement.

METHODS

The present retrospective study included 134 patients who required disability reports between 2013 and 2019 and had their definite diagnoses after VEM. Following VEM, the patients were divided into three groups: epilepsy, PNES, and epilepsy + PNES.

RESULTS

In total, 22.4% (n = 30) of the patients were diagnosed with PNES, 21.6% (n = 29) with PNES and epilepsy, and 56% (n = 75), with epilepsy. The frequency of PNES among all patients was of 44% (n = 59). In patients with PNES alone, the annual cost of using anti-seizure medication was of 160.67 ± 94.04 dollars; for psychostimulant drugs, it was of 148.3 ± 72.48 dollars a year; and the mean direct cost for diagnostic procedures was of 582.9 ± 330.0 (range: 103.52-1601.3) dollars.

CONCLUSIONS

Although it is challenging to determine the qualitative and quantitative total cost in these patient groups, early diagnosis and sociopsychological support will reduce the additional financial burden on the health system and increase the quality of life of the patients.

Predictive value of video alone in diagnosis of epileptic vs paroxysmal nonepileptic events in children

OBJECTIVE

Previous studies examined the use of video-based diagnosis and the predictive value of videos for differentiation of epileptic seizures (ES) from paroxysmal nonepileptic events (PNEE) in the adult population. However, there are no such published studies strictly on the pediatric population. Using video-EEG diagnosis as a gold standard, we aimed to determine the diagnostic predictive value of videos of habitual events with or without additional clinical data in differentiating the PNEE from ES in children.

METHODS

Consecutive admissions to our epilepsy monitoring unit between June 2020 and December 2020 were analyzed for events of interest. Four child neurologists blinded to the patient's diagnosis formulated a diagnostic impression based upon the review of the video alone and again after having access to basic clinical information, in addition to the video. Features of the video which helped to make a diagnosis were identified by the reviewers as a part of a survey.

RESULTS

A total of 54 patients were included (ES n = 24, PNEE n = 30). Diagnostic accuracy was calculated for each reviewer and combined across all the ratings. Diagnostic accuracy by video alone was 74.5% (sensitivity 80.8%, specificity 66.7%). Providing reviewers with basic clinical information in addition to the videos significantly improved diagnostic accuracy compared to viewing the videos alone. Inter-rater reliability between four reviewers based on the video alone showed moderate agreement (κ = 0.51) and unchanged when additional clinical data were presented (κ = 0.51). The ES group was significantly more likely to demonstrate changes in facial expression, generalized stiffening, repetitive eye blinks, and eye deviation when compared with the PNEE group, which was more likely to display bilateral myoclonic jerking.

CONCLUSIONS

Video review of habitual events by Child Neurologists may be helpful in reliably distinguishing ES from PNEE in children, even without included clinical information.

Functional Neurological Disorders: Clinical Spectrum, Diagnosis, and Treatment

BACKGROUND

Functional neurological disorders (FNDs) are common but often misdiagnosed.

REVIEW SUMMARY

The incidence of FNDs is between 4 and 12 per 100,000, comparable to multiple sclerosis and amyotrophic lateral sclerosis, and it is the second most common diagnosis in neurology clinics. Some clues in the history are sudden onset, intermittent time course, variability of manifestation over time, childhood trauma, and history of other somatic symptoms. Anxiety and depression are common, but not necessarily more than in the general population. Although there are no tests currently capable of demonstrating whether symptoms are willfully produced, there may not be a clear categorical difference between voluntary and involuntary symptoms. The prognosis of an FND is linked to early diagnosis and symptom duration, but unfortunately, the majority of the patients are diagnosed after considerable delays.

CONCLUSIONS

A positive diagnosis of FNDs can be made on the basis of history and neurological signs without reliance on psychological stressors. Past sensitizing events and neurobiological abnormalities contribute to the pathogenesis of FNDs. Physical rehabilitation and psychological interventions alone or in combination are helpful in the treatment.

Increased suicide attempt risk in people with epilepsy in the presence of concurrent psychogenic nonepileptic seizures

OBJECTIVES

To test the hypothesis that people with concurrent diagnosis of epilepsy and psychogenic nonepileptic seizures (PNES) are at increased risk of attempting suicide as compared to people with epilepsy or PNES alone. To report on suicide rates.

METHODS

Retrospective cohort study from the UK largest tertiary mental health care provider, with linked nationwide admission and mortality data from the Hospital Episode Statistics and Office for National Statistics. Participants were 2460 people with a primary or secondary diagnosis of epilepsy, PNES or concurrent epilepsy and PNES attending between 1 January 2007 and 18 June 2021. The primary outcome was a first hospital admission for suicide attempt (International Classification of Diseases, version 10 X60-X84).

RESULTS

9% of participants had at least one suicide attempt-related hospital admission. For people with concurrent diagnosis of epilepsy and PNES, the odds for suicide attempt-related admissions were 2.52 times the odds of people with epilepsy alone (OR 0.40; 95% CI 0.21 to 0.79; p=0.01). Odds were comparable between people with concurrent diagnosis and people with PNES alone (OR 0.75; 95% CI 0.41 to 1.48; p=0.40). Post hoc analyses revealed that the odds of people with PNES alone were 1.93 times the odds of people with epilepsy alone (OR 0.52; 95% CI 0.38 to 0.70; p<0.001).

CONCLUSIONS

People with concurrent diagnosis of epilepsy and PNES or PNES alone have significantly increased odds of hospitalisation due to suicide attempt as compared to people with epilepsy alone (152% and 93% increase, respectively). These findings have direct implications for the clinical management of suicide risk in people with epilepsy.

Heterogeneity of patients with functional/dissociative seizures: Three multidimensional profiles

OBJECTIVE

Current concepts highlight the neurological and psychological heterogeneity of functional/dissociative seizures (FDS). However, it remains uncertain whether it is possible to distinguish between a limited number of subtypes of FDS disorders. We aimed to identify profiles of distinct FDS subtypes by cluster analysis of a multidimensional dataset without any a priori hypothesis.

METHODS

We conducted an exploratory, prospective multicenter study of 169 patients with FDS. We collected biographical, trauma (childhood and adulthood traumatic experiences), semiological (seizure characteristics), and psychopathological data (psychiatric comorbidities, dissociation, and alexithymia) through psychiatric interviews and standardized scales. Clusters were identified by the Partitioning Around Medoids method. The similarity of patients was computed using Gower distance. The clusters were compared using analysis of variance, chi-squared, or Fisher exact tests.

RESULTS

Three patient clusters were identified in this exploratory, hypothesis-generating study and named on the basis of their most prominent characteristics: A "No/Single Trauma" group (31.4%), with more male patients, intellectual disabilities, and nonhyperkinetic seizures, and a low level of psychopathology; A "Cumulative Lifetime Traumas" group (42.6%), with clear female predominance, hyperkinetic seizures, relatively common comorbid epilepsy, and a high level of psychopathology; and A "Childhood Traumas" group (26%), commonly with comorbid epilepsy, history of childhood sexual abuse (75%), and posttraumatic stress disorder, but also with a high level of anxiety and dissociation.

SIGNIFICANCE

Although our cluster analysis was undertaken without any a priori hypothesis, the nature of the trauma history emerged as the most important differentiator between three common FDS disorder subtypes. This subdifferentiation of FDS disorders may facilitate the development of more specific therapeutic programs for each patient profile.

Psychogenic nonepileptic seizures: clinical characteristics and outcome

BACKGROUND

Clinical characteristics, outpatient situation, and outcome in patients with psychogenic nonepileptic seizures (PNES) remain to be elucidated.

METHODS

Patients diagnosed with PNES after video-electroencephalography (EEG) monitoring (VEM) 03/2000-01/2016 at the Erlangen Epilepsy Center were surveyed between June 2016 and February 2017. Primary outcome was PNES cessation defined as no PNES episodes within > = 12 months prior to the interview. Secondary outcome variables included quality of life (QoL) and dependency. Sensitivity analysis included patients with proven PNES during VEM without comorbid epilepsy.

RESULTS

Ninety-nine patients were included (median age 38 (interquartile range (IQR 29-52)) years; 68 (69%) females, follow-up 4 (IQR 2.1-7.7) years). Twenty-eight (28%) patients suffered from comorbid epilepsy. Twenty-five (25%) patients reported PNES cessation. Older age at symptom onset (odds ratio (OR) related to PNES cessation: 0.95 (95% CI 0.90-0.99)), comorbid epilepsy (OR 0.16 (95% CI 0.03-0.83)), anxiety disorder (OR 0.15 (95% CI 0.04-0.61)), and tongue biting (OR 0.22 (95% CI 0.03-0.91)) remained independently associated with ongoing PNES activity after adjustment. Sensitivity analysis (n = 63) revealed depressive disorder (OR 0.03 (95% CI 0.003-0.34)) instead of anxiety as independent predictor, while this seemed relevant only in patients older than 26 years at onset (OR 0.04 (95% CI 0.002-0.78) versus OR 0.21 (95% CI 0.02-1.84) in patients  younger than 26 years). PNES cessation was associated with increased median QoL (8 (IQR 7-9) versus 5.5 (IQR 4-7); p < .001) and an increased frequency of financial independency (14 (56%) versus 21 (28%); p = .01).

CONCLUSIONS

We found poor outcomes in PNES especially in older patients at onset with comorbid depressive disorder. Comorbid epilepsy also seems to be a major risk factor of ongoing PNES activity, which in turn affects patients' daily living.

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.

A pilot study assessing the feasibility and acceptability of Project UPLIFT adapted for patients with psychogenic nonepileptic seizures

BACKGROUND

People with psychogenic nonepileptic seizures (PNES) are at elevated risk of multiple psychiatric comorbidities. Current treatment gaps highlight the need for time-limited, distance-delivered interventions that can be cost-effectively delivered to patients with PNES. Project UPLIFT is a self-management program addressing mood problems in epilepsy that has not previously been adapted for PNES. The purpose of this study was to assess the feasibility and acceptability of UPLIFT for patients with PNES.

METHODS

Project UPLIFT was minimally adapted by a multidisciplinary research group at Dartmouth-Hitchcock Medical Center. Participants were recruited into a nonrandomized pilot study and were assessed at baseline, after completing the intervention, and at 1-month follow-up.

RESULTS

The intervention was adapted and delivered without additional modification. A total of eight participants enrolled in the trial, and six participated in the first session. All six participants who started UPLIFT completed the intervention, with a 98% attendance record across the eight sessions. At follow-up, 100% reported that UPLIFT provided useful tools for daily life. All participants continued using UPLIFT after completing the program, and 83% felt it helped with seizure management. Preliminary results provide proof-of-concept for future efficacy trials.

CONCLUSION

This study provides initial support for the feasibility and acceptability of Project UPLIFT, minimally adapted for patients with PNES. As a time-limited program that can be distance-delivered to groups of patients, UPLIFT may be well-suited for the healthcare environment brought on by the COVID-19 pandemic.

Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures

The differential diagnosis of epileptic seizures (ES) and psychogenic non-epileptic seizures (PNES) may be difficult, due to the lack of distinctive clinical features. The interictal electroencephalographic (EEG) signal may also be normal in patients with ES. Innovative diagnostic tools that exploit non-linear EEG analysis and deep learning (DL) could provide important support to physicians for clinical diagnosis. In this work, 18 patients with new-onset ES (12 males, 6 females) and 18 patients with video-recorded PNES (2 males, 16 females) with normal interictal EEG at visual inspection were enrolled. None of them was taking psychotropic drugs. A convolutional neural network (CNN) scheme using DL classification was designed to classify the two categories of subjects (ES vs. PNES). The proposed architecture performs an EEG time-frequency transformation and a classification step with a CNN. The CNN was able to classify the EEG recordings of subjects with ES vs. subjects with PNES with 94.4% accuracy. CNN provided high performance in the assigned binary classification when compared to standard learning algorithms (multi-layer perceptron, support vector machine, linear discriminant analysis and quadratic discriminant analysis). In order to interpret how the CNN achieved this performance, information theoretical analysis was carried out. Specifically, the permutation entropy (PE) of the feature maps was evaluated and compared in the two classes. The achieved results, although preliminary, encourage the use of these innovative techniques to support neurologists in early diagnoses.

Epilepsy and other seizure disorders in acute psychiatric inpatients

BACKGROUND

It is well known that patients with epilepsy have a high rate of psychiatric comorbidity. However, studies exploring epilepsy in psychiatric cohorts are scarce. The aim of this study was to examine the prevalence of seizure disorders in acute psychiatric inpatients.

METHODS

This is a cross-sectional study performed in a catchment-area based acute psychiatric department. All patients (age > 18) admitted during September 2011 - March 2012 were eligible for inclusion. Consenting patients were screened for a life-time history of epilepsy or seizures using self-reported questionnaire data and diagnostic codes for epilepsy in hospital and National registries. Patients scoring positive to one or more of these screening criteria underwent a thorough diagnostic validation (chart review), and the seizure disorders were classified as epilepsy, acute symptomatic seizures and/or psychogenic non-epileptic seizures according to current definitions.

RESULTS

A total of 380 out of 591 (64.3%) consecutively admitted patients consented to participate in the study. Eighty-nine patients (23.4%) scored positive to one or more screening criteria. Fifteen (3.9%) were classified with epilepsy, 21 (5.5%) with acute symptomatic seizures and 9 (2.4%) with psychogenic non-epileptic seizures.

CONCLUSIONS

This is the first study to report on the prevalence of seizure disorders in acute psychiatric inpatients. The life-time prevalence of epilepsy in this cohort of patients is five - six times as high as reports in the general population. These findings underscore the need for the clinical psychiatrist to have comprehensive knowledge on the interface between epileptology and psychiatry.

TRIALS REGISTRATION

ClinicalTrials.gov identifier NCT01415323 .

The evaluation of psychogenic non-epileptic seizures (PNES) cases with saline injection method in video-EEG monitorization unit

BACKGROUND

It has been reported that 10 to 30% of patients sent to epilepsy centers with a diagnosis of refractory epilepsy are diagnosed with psychogenic non-epileptic seizure (PNES). A wide variety of provocative methods are used to assist PNES diagnosis.

OBJECTIVE

To investigate the effect of seizure induction on the diagnosis and prognosis of PNES.

METHODS

We retrospectively examined 91 patients with PNES complaints in our video-EEG laboratory. Intravenous saline was administered to all patients for induction of seizures.

RESULTS

Saline injection was performed in 91 patients referred to our EEG lab with PNES initial diagnosis, 57 of whom were female and 34 male. Saline injection triggered an attack in 82 patients (90%).

CONCLUSIONS

In this study we have concluded that provocative methods are practical, cheap and, most of all, effective for patient diagnosis. In clinical practice, explaining the diagnosis is the first and most important step of the treatment, and careful patient-doctor communication has a positive impact on patient prognosis.

Drop attacks as a subtype of FND: A cognitive behavioural model using grounded theory

•

A grounded theory approach explored idiopathic drop attacks.

•

Our proposed model is consistent with current cognitive behavioural models of FND.

•

A main precipitating factor of a fall related to another cause was identified.

•

External triggers, anxiety, rumination and dissociation are maintaining factors.

•

For many, idiopathic drop attacks may be best understood as a form of FND.

Idiopathic drop attacks are falls to the floor, without warning, and without loss of consciousness, for which the cause is uncertain. They are poorly studied but recent research suggests that many idiopathic drop attacks may be usefully considered within the spectrum of functional neurological disorder (FND).

The aim of this study was to test a cognitive behavioural model of idiopathic drop attacks, in order to inform formulation and treatment. Interviews and diaries were completed by seven individuals experiencing drop attacks, and were analysed using a grounded theory qualitative data approach.

Through the coding and synthesis of data into themes, a proposed cognitive behavioural model was identified, with a main precipitating event in all cases being a fall related to another cause, such as a mechanical fall or a fall due to medical reasons. Additional precipitating factors identified included situational triggers, high levels of stress, and dissociation. A maintaining cycle of thoughts, emotion and behaviour is outlined.

Our proposed theory is consistent with current cognitive behavioural models of FND. A cognitive behavioural understanding of drop attacks when considered part of FND aids formulation in clinical practice, and suggests that cognitive behavioural therapy interventions for FND may also be applicable in this population.

Dissociation, Stressors, and Coping in Patients of Psychogenic Nonepileptic Seizures

BACKGROUND

Psychogenic nonepileptic seizures (PNES) commonly present both to neurologists and psychiatrists and include a wide range of psychopathology. In order to understand the demographics, dissociative experiences, stressful life events, abuse, and coping in these patients, this study was undertaken.

METHODS

This was a cross-sectional, observational study. A total of 71 patients of PNES, referred from neurology, were assessed on Dissociative Experience Scale (DES), Scale For Trauma and Abuse, Presumptive Stressful Life Events Scale (PSLES), and Ways of Coping Questionnaire to ascertain the dissociative experiences; the prevalence of trauma, abuse, and stressful life events, and the coping mechanisms.

RESULTS

Females predominated, with the duration of PNES up to 2 years. The mean ± SD total DES score was 38.14 ± 14.1, indicating high dissociation. On the PSLES, for the stressful life events in the last one year, the mean score was 98.28 ± 87.1. Marital and family conflicts and death were reported more. History of childhood or adult physical and sexual abuse was less reported. History of head trauma was present in 13 patients. Emotion-focused coping was used more than problem-solving strategies.

CONCLUSIONS

Very few Indian studies have looked into these nuances. This study has helped in improving the understanding of the various risk factors of PNES and the coping strategies, and in sensitizing psychiatrists and neurologists to enquire into trauma and abuse of these patients.

Psychogenic nonepileptic seizures: A case series

Manifestation of abnormal excessive synchronous cortical activity, which is what defines epileptic seizures, is typically absent in seizures with psychological etiology, a heterogeneous set of factors that have been identified. Distinguishing psychogenic nonepileptic seizures (PNES) from epileptic seizures may be difficult at the bedside. We report a case series of PNES which presented with diagnostic dilemma. Diagnostic delay of years with PNES is common. The exact choice of treatment is often difficult and should be based on individual differences in the underlying factors. Outcome can be measured in terms of seizure occurrence (frequency, severity), but other measures might be of greater importance for the patient. Prognosis is varied but studies consistently report that 1/3^rd to 1/4^th of these cases become chronic.

[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.

Effective connectivity between emotional and motor brain regions in people with psychogenic nonepileptic seizures (PNES)

OBJECTIVE

To characterize the effective connectivity (EC) between the emotion and motor brain regions in patients with psychogenic nonepileptic seizures (PNES), based on resting-state spectral dynamic causal modeling (spDCM).

METHODS

Twenty-three patients with PNES and twenty-five healthy control (HC) subjects underwent resting-state fMRI scanning. The coupling parameters indicating the causal interactions between eight brain regions associated with emotion, executive control, and motion were estimated for both groups, using resting-state fMRI spDCM.

RESULTS

Compared to the HC subjects, in patients with PNES: (i) the left insula (INS) and left and right inferior frontal gyri (IFG) are more inhibited by the amygdala (AMYG), anterior cingulate cortex (ACC), and precentral gyrus (PCG); (ii) the left AMYG has greater inhibitory effects on the INS, IFG, dorsolateral prefrontal cortex (DLPFC), PCG, and supplementary motor area (SMA); (iii) the left ACC has more inhibitory effects on the INS and IFG; (iv) the right ACC is more inhibited by the INS and IFG, and has a less inhibitory effect on the SMA and PCG; and (v) the left caudate (CAU) had increased inhibitory effects on the AMYG and IFG and a more excitatory effect on the SMA.

CONCLUSION

Our results suggest that in patients with PNES, the emotion-processing regions have inhibitory effects on the executive control areas and motor regions. Our findings may provide further insight into the influence of emotional arousal on functional movements and the underlying mechanisms of involuntary movements during functional seizures. Furthermore, they may suggest that emotion regulation through cognitive behavioral psychotherapies can be a potentially effective treatment modality.

Resting-state EEG for the diagnosis of idiopathic epilepsy and psychogenic nonepileptic seizures: A systematic review

Quantitative markers extracted from resting-state electroencephalogram (EEG) reveal subtle neurophysiological dynamics which may provide useful information to support the diagnosis of seizure disorders. We performed a systematic review to summarize evidence on markers extracted from interictal, visually normal resting-state EEG in adults with idiopathic epilepsy or psychogenic nonepileptic seizures (PNES). Studies were selected from 5 databases and evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2. 26 studies were identified, 19 focusing on people with epilepsy, 6 on people with PNES, and one comparing epilepsy and PNES directly. Results suggest that oscillations along the theta frequency (4-8 Hz) may have a relevant role in idiopathic epilepsy, whereas in PNES there was no evident trend. However, studies were subject to a number of methodological limitations potentially introducing bias. There was often a lack of appropriate reporting and high heterogeneity. Results were not appropriate for quantitative synthesis. We identify and discuss the challenges that must be addressed for valid resting-state EEG markers of epilepsy and PNES to be developed.

Psychogenic non-epileptic seizures in children

Psychogenic Non-Epileptic Seizures (PNES) are a relatively common condition in children. While their clinical presentation resembles epileptic seizures, the underlying cause for PNES involves a multitude of bio-psychosocial factors. Patients may be misdiagnosed with epilepsy and subjected to unnecessary treatments, often delaying the diagnosis for years. A strong understanding of its symptomatology is essential for diagnosis of PNES. Successful management depends on effective teamwork that involves the neurologist as well as mental health professionals. This paper reviews the various aspects of PNES in children with emphasis on the clinical presentation, diagnosis as well as the underlying psychological basis and treatment.

Working toward the ideal situation: A pragmatic Epi-Psy approach for the diagnosis and treatment of psychogenic nonepileptic seizures

Medical international guidelines recommend regular psychiatric consultations for patients with epilepsy, in order to detect comorbidities. However, there is a lack of guidance about PNES that constitute both a differential diagnosis and a comorbidity of epilepsy. While waiting for the ideal collaboration between neurologists and psychiatrists, we develop a pragmatic approach. Wrong diagnosis between epilepsy and Psychogenic nonepileptic seizures (PNES) is frequent and may lead to iatrogenic consequences for patients. To limit the risk of misdiagnosis, psychiatrists and neurologists should collaborate and be more trained about epilepsy, PNES, and their comorbidities. We illustrate the aim of this collaboration through the case of a patient, initially diagnosed with epilepsy, then with PNES only and finally with comorbid epilepsy and PNES. The correct final diagnosis would not have been performed without the collaboration of psychiatrists and neurologists, trained in "Epi-Psy" approach.

What do patients prefer their functional seizures to be called, and what are their experiences of diagnosis? - A mixed methods investigation

This study explored the preferred terms for functional seizures, and the experience of being diagnosed, from the patient's perspective. 39 patients in a neuropsychiatry service diagnosed with functional seizures completed an online survey to investigate preferences for, and offensiveness of, 11 common diagnostic terms used to describe functional seizures. Of these 39 patients, 13 consented to take part in a semistructured interview exploring the experience of receiving a diagnosis. Nonepileptic attack disorder (NEAD), functional seizures, functional nonepileptic attacks (FNEA), and dissociative seizures were ranked the highest preferred terms and did not significantly differ from one another. NEAD was the least offensive term, with functional seizures and FNEA following closely. Significant overlap in confidence intervals was found between the offensiveness of all terms. Terms that indicated a psychological origin were the least preferred and viewed as most offensive. Thematic analysis identified three main themes on the experience of being diagnosed: 'being heard and having a shared understanding', 'feeling alone', and 'sense of hope'. Patients favored diagnostic terms that facilitated and alleviated these themes on a personal basis; however, preferences differed across individuals. Our findings suggest that a range of terms have a similar level of preference and offense rating, with NEAD, functional seizures, and FNEA being the most favorable. Qualitative analysis indicates that a term and its accompanying explanation should facilitate shared acceptance and understanding, and several terms provide this. In combination with our previous study on healthy participants, we propose that one of the two terms researched are adopted by patients, health professionals, and the public: Functional nonepileptic attacks or Functional seizures.

Evidence of objective sleep impairment in nonepileptic attack disorder: A naturalistic prospective controlled study using actigraphy and daily sleep diaries over six nights

Poor sleep is reported by many with nonepileptic attack disorder (NEAD) with correlations evident between self-reported sleep quality and mood and functional impairment. However, it is contended that self-reported sleep impairment in NEAD is a subjective phenomenon, which represents a general tendency to over-report symptoms or misinterpret bodily states in those with NEAD. The present study was therefore designed to investigate the extent of subjective and objective sleep impairments in those with NEAD. Over six nights we prospectively recorded comparable nightly objective (actigraphy) and subjective (consensus sleep diary) sleep parameters in a sample of 17 people with NEAD, and an age- and gender-matched normative control group (N = 20). Participants recorded daily measures of attacks, dissociation, and mood. Alongside higher subjective sleep impairment, the NEAD group had significantly worse objective sleep on several metrics compared to the normative controls, characterized by disrupted sleep (frequent awakenings and wake after sleep onset, low efficiency). Exploratory analyses using mixed effects models showed that attacks were more likely to occur on days preceded by longer, more restful sleep. This study, which had good ecological validity, evidences the presence of objective sleep impairment in NEAD, suggesting that in patient reports of problems with sleep should be given careful consideration in clinical practice.

Predictive utility of the Minnesota Multiphasic Personality Inventory-2-RF (MMPI-2-RF) in differentiating psychogenic nonepileptic seizures and epileptic seizures in male veterans

OBJECTIVE

While psychogenic nonepileptic seizures (PNES) and epileptic seizures (ES) often present similarly, they are etiologically distinct, and correct diagnosis is essential for ensuring appropriate treatment and improving outcomes. The Minnesota Multiphasic Personality Inventory-2-RF (MMPI-2-RF) may assist in differential diagnosis, but prior investigations have been limited by disproportionately female samples, inconsistent accounting for profile invalidity, and limited intra-scale variability from dichotomizing variables. The current investigation addressed these gaps by assessing diagnostic utility of the MMPI-2-RF in differentiating PNES and ES in a male sample of veterans while conservatively accounting for profile invalidity and using a statistical approach that allows for consideration of continuous independent variables to better appreciate intra-scale variance.

METHOD

One hundred and forty-four veterans completed the MMPI-2-RF and were diagnosed with PNES (57.6%) or ES (42.4%) by a board-certified neurologist following continuous video-EEG monitoring. Participants with validity scores falling in the definitely or likely invalid ranges were excluded to ensure construct validity among clinical/substantive scales. Independent samples t-tests assessed differences in MMPI-2-RF variables by diagnostic groups. Hierarchical stepwise logistical regressions assessed predictive utility of MMPI-2-RF indices. A clinical calculator was derived from regression findings to help with diagnostic prediction.

RESULTS

Males with PNES endorsed significantly higher scores on F-r, FBS-r, RBS, RC1, RC7, HPC, and NUC (medium to large effect sizes). The regression block that contained validity, restructured clinical (RC1), and substantive scales (GIC, SUI) had a hit rate of 75.69%, which was an improvement from the baseline model hit rate of 57.64%. Higher endorsement on RC1 and lower reporting on GIC significantly predicted PNES diagnosis for males.

CONCLUSIONS

Minnesota Multiphasic Personality Inventory-2-RF improved diagnostic accuracy of PNES versus ES among male veterans, and RC1 (somatic complaints) emerged as a significant predictor for males with PNES, in line with hypotheses. Several clinical/substantive scales assisted with differential diagnosis after careful accounting for profile validity. Future studies can validate findings among males outside of veteran samples.

Psychogenic Nonepileptic Seizures in Patients With Epilepsy: A Comparative Study With Patients With Pure Epilepsy

ABSTRACT

Psychogenic nonepileptic seizures (PNES) represent management challenges, especially if associated with epilepsy. We aimed to evaluate patients with mixed epilepsy (true and PNES) and compare them with pure epilepsy to identify predictors of psychogenic seizures. This study included 40 patients with pure epilepsy and 40 patients with mixed epilepsy matched in age and sex. Patients underwent neurological assessment, semistructured psychiatric clinical interview, and video electroencephalogram monitoring. We found that unemployment, divorce, and seizure frequency were higher in mixed epilepsy, as well as history of family dysfunction, child adversity, and depressive and dissociative disorders. Both groups were similar regarding family history for seizures and personality dysfunction scores. Family dysfunction, child adversity, and depressive disorders were predictors of PNES. We recommend early evaluation for social instability, family dysfunction, child adversity, and depressive disorders in epileptic patients with higher seizure frequency to avoid misdiagnosis of false drug-resistant epilepsy and enhance proper management.

Is the differential diagnosis of epilepsy and psychogenic nonepileptic seizures possible by assessing the neutrophil/lymphocyte ratio?

INTRODUCTION

The neutrophil-to-lymphocyte ratio (NLR), which can be calculated directly from the complete blood count, is a parameter that can be accepted as an indicator of systemic inflammation. In this study, we tried to distinguish seizures from pseudo-seizures by evaluating the NLR value in the pre- and post-seizure period in epilepsy and psychogenic nonepileptic seizures (PNES).

MATERIAL AND METHOD

Of the 50 patients included in our study, 36 had epilepsy and 14 had PNES. Comparison of pre- and post-seizure values of leukocyte, neutrophil, and NLR values and heart rate were made between focal, generalized onset seizures, and PNES. The pre- and post-seizure NLR was assessed for each group.

RESULTS

The number of leukocytes and neutrophils determined after the seizure was significantly higher in the group with generalized onset seizures compared to the PNES group. When the pre- and post-seizure leukocyte counts were examined in the generalized onset seizure group, it was observed that the post-seizure leukocyte count was significantly higher (p: <0.001). In our study, there were no differences in the ictal and postictal heart rates between the PNES and epilepsy groups, unlike previous studies. We found that the ictal heart rate was statistically higher than the preictal heart rate in the epilepsy group, as expected, but the differences in heart rate between PNES and epilepsy did not separate the groups in a meaningful way.

CONCLUSION

As a result of these examinations, we observed that patients with epilepsy with generalized and focal onset seizures had a significantly higher number of leukocytes in their post-seizure blood. However, pre- and post-seizure NLR could not help us, within this group of patients, to separate PNES from epileptic seizures.

Differentiation of psychogenic nonepileptic attacks from status epilepticus among patients intubated for convulsive activity

BACKGROUND AND OBJECTIVE

Patients with psychogenic nonepileptic attacks (PNEA) sometimes receive aggressive treatment leading to intubation. This study aimed to identify patient characteristics that can help differentiate PNEA from status epilepticus (SE).

METHODS

We retrospectively identified patients with a final diagnosis of PNEA or SE, who were intubated for emergent convulsive symptoms and underwent continuous electroencephalography (cEEG) between 2012 and 2017. Patients who had acute brain injury or progressive brain disease as the cause of SE were excluded. We compared clinical features and laboratory values between the two groups, and identified risk factors for PNEA-related convulsive activity.

RESULTS

Over a six-year period, 24 of 148 consecutive patients (16%) intubated for convulsive activity had a final diagnosis of PNEA rather than SE. Compared to patients intubated for SE, intubated PNEA patients more likely were <50 years of age, female, white, had a history of a psychiatric disorder, had no history of an intracranial abnormality, and had a maximum systolic blood pressure <140 mm Hg (all P < 0.001). Patients with 0-2 of these six risk factors had a 0% (0/88) likelihood of having PNEA, those with 3-4 had a 15% (6/39) chance of having PNEA, and those with 5-6 had an 86% (18/21) chance of having PNEA. Sensitivity for PNEA among those with 5-6 risk factors was 75% (95% CI: 53-89%) and specificity was 98% (95% CI: 93-99%).

CONCLUSIONS

In the absence of a clear precipitating brain injury, approximately one in six patients intubated for emergent convulsive symptoms had PNEA rather than SE. Although PNEA cannot be diagnosed only by the presence of these risk factors, these simple characteristics could raise clinical suspicion for PNEA in the appropriate setting. Urgent neurological consultation may prevent unnecessary intubation of this at-risk patient population.

DDESVSFS: A simple, rapid and comprehensive screening tool for the Differential Diagnosis of Epileptic Seizures VS Functional Seizures

OBJECTIVE

Functional seizures (FS) are often misclassified as epileptic seizures (ES). This study aimed to create an easy to use but comprehensive screening tool to guide further evaluation of patients presenting with this diagnostic dilemma.

MATERIALS AND METHODS

Demographic, clinical and diagnostic data were collected on patients admitted for video-EEG monitoring for clarification of their diagnosis. Upon discharge, patients were classified as having ES vs FS. Using the collected characteristics and video-EEG diagnosis, we created a multivariable logistic regression model to identify predictors of ES. Then, we trained an integer-coefficient model with the most frequently selected predictors, creating a pointing system coined DDESVSFS, with scores ranging from -17 to +8 points.

RESULTS

43 patients with FS and 165 patients with ES were recruited. In the final integer-coefficient model, 8 predictors were identified as significant in differentiating ES from FS: normal electroencephalogram (-3 points), predisposing factors for FS (-3 points), increased number of comorbidities (-3 points), semiology suggestive of FS (-4 points), increased seizure frequency (-4 points), longer disease duration (+3 points), antiepileptic polypharmacy (+2 points) and compliance with antiepileptic drugs (+3 points). Cumulative scores of ≤ -9 points carried <5% predictive value for ES, while cumulative scores of ≥ -1 points carried >95% predictive value. The model performed well (AUC: 0.923, sensitivity: 0.945, specificity: 0.698).

CONCLUSIONS

We propose DDESVSFS as a simple, rapid and comprehensive prediction score for the Differential Diagnosis of Epileptic Seizures VS Functional Seizures. Large prospective studies are needed to evaluate its utility in clinical practice.

Brain functional connectivity in individuals with psychogenic nonepileptic seizures (PNES): An application of graph theory

OBJECTIVE

To determine brain functional connectivity (FC), based on the graph theory, in individuals with psychogenic nonepileptic seizures (PNES), in order to better understand the mechanisms underlying this disease.

METHODS

Twenty-three patients with PNES and twenty-five healthy control subjects were examined. Alterations in FC within the whole brain were examined using resting-state functional magnetic resonance imaging (MRI). We calculated measures of the nodal degree, a major feature of the graph theory, for all the cortical and subcortical regions in the brain. Pearson correlation was performed to determine the relationship between nodal degree in abnormal brain regions and patient characteristics.

RESULTS

The nodal degrees in the right caudate (CAU), left orbital part of the left inferior frontal gyrus (ORBinf), and right paracentral lobule (PCL) were significantly greater (i.e. hyper-connectivity) in individuals with PNES than in healthy control subjects. On the other hand, a lesser nodal degree (i.e. hypo-connectivity) was detected in several other brain regions including the left and right insula (INS), as well as the right putamen (PUT), and right middle occipital gyrus (MOG).

CONCLUSION

Our findings suggest that the FC of several major brain regions can be altered in individuals with PNES. Areas with hypo-connectivity may be involved in emotion processing (e.g., INS) and movement regulation (e.g., PUT), whereas areas with hyper-connectivity may play a role in the inhibition of unwanted movements and cognitive processes (e.g., CAU).

Explanatory factors of quality of life in psychogenic non-epileptic seizure

OBJECTIVE

Previous studies showed that patients with Psychogenic Non-Epileptic Seizures (PNES) have poor quality of life (QoL). This study explored the explicative factors of the QoL at the time of diagnosis and monitored changes over the two years of follow-up.

METHODS

We evaluated 107 participants with a diagnosis of Psychogenic Non-Epileptic Seizure (PNES), every 6 months for 24 months. Quality of life (QoL) was evaluated using the QOLIE-31 and SF-36 scales (respectively specific and generic scales of QoL). Positive evolution of QoL was defined by the increase in the score of overall QoL using QOLIE-31 sub-scale from baseline to the last interview of the patient. We also collected for each patient data on psychiatric dimensions (childhood abuse, history of traumatic events, post-traumatic stress disorder (PTSD), depression, anxiety, alexithymia, and dissociation), clinical evolution of seizures and the number of mental health consultations.

RESULTS

According to the QOLIE-31 and the SF-36, depression (p ≤ 0.001), anxiety (p < 0.001), alexithymia (p ≤ 0.001), and dissociation (p ≤ 0.004) were related to QoL at the time of the diagnosis. According to SF-36 (mental and physical), PTSD was also significantly associated with QoL (p < 0.05). The number of seizures or the co-occurrence of epilepsy did not influence QoL. Positive evolution of QoL was linked to the number of consultations for mental health issues (p = 0.02).

SIGNIFICANCE

Post-traumatic dimensions (PTSD, dissociation), alexithymia and psychiatric comorbidities (depression and anxiety disorders) seem to alter QoL in people with PNES. The current study suggests that mental health care improves QoL of patients with PNES.

Psychosocial long-term outcome in patients with psychogenic non-epileptic seizures

PURPOSE

To evaluate psychosocial long-term outcome in patients diagnosed with psychogenic nonepileptic seizures (PNES) and to predict outcome of PNES, economic status, and quality of life (QoL) at follow-up.

METHODS

Patients diagnosed with PNES in the video-EEG-monitoring unit at our Epilepsy center between 2002-2016 were contacted by phone 1-16 years after communicating the diagnosis. Patients underwent a structured interview asking for current PNES status, psychosocial situation (economic status, marital status, setting of living, driving), depression, and QoL.

RESULTS

Of 70 PNES patients without comorbid epilepsy (age: 41.1 ± 13.5 years; 74 % female, follow-up: 5.2 ± 4.2 years), 23 patients (33 %) reported to be free of PNES during the last 12 months. Patients with cessation of PNES were younger at PNES onset (p < .01) and diagnosis (p < .01) and had a higher education (p < .05). At follow-up, the proportion of economically active patients only increased in individuals with cessation of PNES (p < .001) while an increased number of patients with persisting PNES relied on governmental support (p < .001). Cessation of PNES was associated with better mood (p < .01) and QoL (p < .001). In multiple regression models, cessation of PNES was only predicted by younger age at onset, while good economic outcome was determined by younger age and good economic status at diagnosis and cessation of PNES at follow-up. Good QoL at follow-up was predicted by low depressive symptoms, freedom of PNES, and economic activity at follow-up.

CONCLUSION

Long-term outcome in patients with PNES remains to be poor and the majority of patients continue to have PNES. Cessation of PNES was associated with good economic outcome, mood, and QoL.

Diagnosing functional neurological disorder: seeing the whole picture

Functional neurological disorder (FND) is a complex neuropsychiatric syndrome with many phenotypes that are commonly encountered in clinical practice. Despite the heterogeneity of FND, the rate of misidentification is consistently low. For the more common motor subtypes, there are clear positive clinical, electrophysiological, and rarely imaging criteria that can establish the diagnosis in the traditional sense. For nonmotor subtypes, the characterization may be less clear. Here, we argue that the current diagnostic criteria are not reflective of the current shared neuropsychiatric understanding of FND, and, as a result, provide an incomplete picture of the diagnosis. We propose a three-step diagnostic triad for FND, in which the traditional neurological diagnosis is only the first element. Other steps include psychiatric/psychological formulation, integration, and follow-up. We advocate that this diagnostic approach should be the shared responsibility of neurology and mental health professionals. Finally, a research agenda is proposed to address the missing factors in the field.

An investigation into the preferred terminology for functional seizures

There is considerable debate in the literature regarding what to call functional seizures, with terms such as pseudoseizures, nonepileptic attack disorder (NEAD), and dissociative seizures being used. Provision of an accurate diagnosis and coherent explanation is a vital first step in the management of functional seizures and can result in cessation or reduced frequency for some individuals. This study investigated preferences for and offensiveness of terms used to describe functional seizures, and expectations for recovery with psychological treatment. A sample of 87 healthy adults completed an online survey, in which eight different diagnostic terms were ranked in order of preference (1 - most preferred, 8 - least preferred): functional nonepileptic attacks (FNEA), dissociative seizures, functional seizures, psychogenic seizures, NEAD, pseudoseizures, conversion disorder, and hysteria. Replicating Stone and colleagues protocol, each term was investigated for five connotations. Offense scores were calculated from the number of participants who selected 'yes' to at least one of the negative connotations ('Putting it on', 'Mad', and 'Imagining Symptoms'). Expectations about the possibility of recovering through medical or psychological treatment were also recorded. Functional nonepileptic attack was ranked the highest preferred term with dissociative seizures and functional seizures closely following. Nonepileptic attack disorder was the least offensive term, with FNEA and functional seizures joint second. Unsurprisingly, the three least preferred terms were also the most offensive: pseudoseizures, conversion disorder, and hysteria. Expectations of nonrecovery from psychological treatment were lowest for terms implicating a psychological cause: pseudoseizures, dissociative seizures, psychogenic seizures, and hysteria. The results suggest that either the terms FNEA or functional seizures should be adopted by healthcare professionals and patients, as they are the most preferred, least offensive, and expectations for nonrecovery with psychological treatment were moderate compared with the other terms. Limitations and areas for future research are discussed.

The role of Orexin-A levels in epileptic seizure

BACKGROUND

The aim of this study is to determine the usefulness of Orexin-A levels in differentiating between epileptic seizures and psychogenic non-epileptic seizures in patients presenting to the emergency service with epileptic seizure-type symptoms.

METHODS

A total of 80 individuals were included in this study, including 59 who presented to the emergency service within the first four hours of having been diagnosed with generalized tonic-clonic seizures (39 with epileptic seizures (ES) and 20 with pseudoseizures (PNES) and 21 controls. Orexin-A levels were measured in venous blood samples.

RESULTS

The mean Orexin-A levels were 5.16 ng/mL in the control group, 7.17 ng/mL in the PNES group, and 11.08 ng/mL in the ES group (Table 1). The mean Orexin-A level of the ES group was significantly different from both the control group and the PNES group (Table 1, p < 0.001); the difference between the control group and the PNES group was not significant (p > 0.05).

CONCLUSIONS

Results of this study suggest that blood Orexin-A may be an effective biomarker in the differential diagnosis of epileptic seizures/psychogenic non-epileptic seizures in patients presenting to the emergency service with an epileptic seizure-type clinical picture.