Minimum requirements for the diagnosis of psychogenic nonepileptic seizures: A staged approach

Results of a National Delphi consensus on the outpatient management of pediatric psychogenic nonepileptic seizures in the United States

BACKGROUND AND OBJECTIVES

The purpose of this study was to develop national consensus based on expert opinion on the optimal outpatient care model of pediatric psychogenic nonepileptic seizures (PNES).

METHODS

A core working group (CWG) within the PNES special interest group of the Pediatric Epilepsy Research Consortium was established. The CWG developed a rigorous scoring rubric to select experts in pediatric PNES within the United States of America and a three-round Delphi study was conducted to assess consensus on key components of the management of pediatric PNES in the outpatient setting.

RESULTS

Eighteen experts representing neurology, psychology, psychiatry, social work and nursing participated in the study. Strong consensus was reached that the multidisciplinary clinic (MDC) model is the gold standard for the outpatient management of pediatric PNES. Consensus was obtained that a neurologist, psychologist and social worker are essential members of the MDC and in the setting of unlimited resources, psychiatry and nursing are also recommended. Further consensus was established on the roles of specific personnel, structure of the clinic, billing practices, trainee inclusion, patient inclusion and exclusion, and end of visit management. While consensus was reached that a new term should be developed for this diagnosis, consensus was not reached on the ideal term.

DISCUSSION

Expert consensus was established for the multidisciplinary management of pediatric PNES in the outpatient setting. Specific recommendations were provided that can facilitate the development and implementation of MDCs in other institutions. Further prospective studies are warranted to validate this practice model.

One-year follow-up of neurobehavioral therapy in functional seizures or epilepsy with traumatic brain injury: A nonrandomized controlled trial

OBJECTIVE

Patients with traumatic brain injury (TBI) often present with seizures (functional and/or epileptic), but treatments for patients with TBI and seizures are limited. We examined treatment phase and 1-year post-enrollment outcomes following neurobehavioral therapy (NBT) for patients with TBI + functional seizures (FS) and TBI + epilepsy.

METHODS

In this multicenter, prospective, three-group, nonrandomized, controlled trial, with 1-year post-enrollment follow-up, three cohorts of adults were recruited: TBI + video-electroencephalography (EEG)-confirmed FS (n = 89), TBI + EEG-confirmed epilepsy (n = 29), and chart/history-confirmed TBI without seizures (n = 75). Exclusion criteria were recent psychotic or self-injurious behavior, current suicidal ideation, pending litigation or long-term disability, active substance use disorder, and inability to participate in study procedures. TBI + FS and TBI + epilepsy groups completed NBT for seizures, an evidence-based, 12-session, multimodal psychotherapy, whereas TBI without seizures participants received standard medical care. The primary outcome was change in seizure frequency; secondary outcomes were changes in mental health, TBI-related symptoms, disability, and quality of life.

RESULTS

Reductions in average monthly seizures occurred during treatment in TBI + FS participants (p = .002) and were significant from baseline (mean = 16.75; 95% confidence interval [CI] = 11.44-24.53) to 12 months post-enrollment (mean = 7.28, 95% CI = 4.37-12.13, p = .002, d = .38). Monthly seizures decreased during treatment in TBI + epilepsy participants (p = .002); reductions were not statistically significant from baseline (mean = 2.38, 95% CI = 1.12-5.04) to 12-month postenrollment (mean = .98, 95% CI = .40-2.42, p = .07, d = .22). Regarding treatment-phase changes in secondary outcome measures, TBI + FS participants improved significantly on 10 of 19 variables (52.6%), TBI + epilepsy participants improved on five of 19 (26.3%), and TBI-only comparisons improved on only one of 19 (5.3%).

SIGNIFICANCE

NBT benefited patients with TBI + FS and TBI + epilepsy. Improvements were demonstrated at 1 year post-enrollment in those with TBI + FS. NBT may be a clinically useful treatment for patients with seizures.

Locus coeruleus co-activation patterns at rest show higher state persistence in patients with dissociative seizures: A Pilot Study

OBJECTIVE

Dissociative seizures are paroxysmal disruptions of awareness and behavioral control in the context of affective arousal. Alterations in stress-related endocrine function have been demonstrated, but the timescale of dissociation suggests that the central locus coeruleus (LC) noradrenergic system is likely pivotal. Here, we investigate whether LC activation at rest is associated with altered brain network dynamics.

METHODS

A preliminary co-activation pattern (CAP) analysis of resting-state functional magnetic resonance imaging (fMRI) in 14 patients with dissociative seizures and 14 healthy controls was performed by using the LC as a seeding region. The red nucleus served as a control condition. Entry rates, durations, and state transition probabilities of identified CAPs were calculated. Analyses were corrected for demographic, technical, and clinical confounders including depression and anxiety.

RESULTS

Three LC-related CAPs were identified, with the dominant two showing inverse activations and deactivations of the default mode network and the attention networks, respectively. Analysis of transition probabilities between and within the three CAPs revealed higher state persistence in patients compared to healthy controls for both CAP2LC (Cohen's d = -0.55; p = 0.01) and CAP3LC (Cohen's d = -0.57; p = 0.01). The control analysis using the red nucleus as a seed yielded similar CAPs, but no significant between-group differences in transition probabilities.

SIGNIFICANCE

Higher state persistence of LC-CAPs in patients with dissociative seizures generates the novel hypothesis that arousal-related impairments of network switching might be a candidate neural mechanism of dissociation.

PLAIN LANGUAGE SUMMARY

Dissociative seizures often arise during high affective arousal. The locus coeruleus is a brain structure involved in managing such acute arousal states. We investigated whether the activity of the locus coeruleus correlates with activity in other regions of the brain (which we refer to as "brain states"), and whether those brain states were different between patients with dissociative seizures and healthy controls. We found that patients tended to stay in certain locus coeruleus-dependent brain states instead of switching between them. This might be related to the loss of awareness and disruptions of brain functions ("dissociation") that patients experience during seizures.

Diagnostic Value of Bereitschaftspotential in People With Functional Seizures

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Psychogenic non-epileptic (functional) seizures in adults with intellectual disability and epilepsy: A matched case-control study

OBJECTIVE

To describe the characteristics of psychogenic non-epileptic (functional) seizures (PNES) in adults with epilepsy and intellectual disability (ID) and to establish differences and risk factors regarding psychosocial functioning between individuals with and without PNES.

METHODS

Adults with ID and epilepsy living in epilepsy care facilities in The Netherlands were screened for PNES by a neurologist. A control group consisting of people with epilepsy and ID, without PNES, was matched according to age, sex, and level of ID. Objective data were retrieved retrospectively from clinical notes of the resident. Standardized questionnaires and tests, adjusted for people with ID, were obtained from participants and their nursing staff. Differences were analyzed using paired t tests, Wilcoxon signed-rank tests, or McNemar's tests, appropriate for matched case-control studies. Conditional logistic regression identified PNES risk factors.

RESULTS

Five hundred forty individuals were screened, of which 42 had PNES (point prevalence 7.8%). In total, 35 cases and 35 controls gave consent. Proxy reports indicated that PNES impacted daily life in 79% by adjusting the individual's schedule, and caused minor injuries in one-third. Those with PNES were mainly female (69%); had a mild (46%) or moderate (37%) level of ID; showed more symptoms of depression (p = .024), anxiety (p = .030), self-injurious behavior (p = .015); and experienced more negative life events (p < .001). Clinically relevant predictors of PNES were the number of negative life events (odds ratio [OR] 1.71, 95% confidence interval [CI] 1.12-2.53) and self-injurious behaviors (OR 5.27, 95% CI .97-28.81).

SIGNIFICANCE

Previously, PNES in individuals with ID and epilepsy were described mainly as a reinforced behavioral pattern, due to limited associations with psychiatric disorders. Our results demonstrate that this population does show individual psychosocial vulnerabilities when measured with instruments adjusted for this population, as indicated by proxy reports from daily caregivers. Viewing PNES as an involuntary response, especially for stress-prone individuals with ID, could reduce stigma and improve treatment.

'Positive' inter-ictal clinical signs of functional neurological disorders are found in patients with functional dissociative seizures

BACKGROUND AND PURPOSE

Prior studies highlighted the high diagnostic specificity (ranging from 92% to 100%) of clinical signs observed in functional neurological disorders (FNDs). However, these signs are rarely looked for by epileptologists when trying to distinguish between functional dissociative seizure (FDS) and epileptic seizure. The aim of this study was to determine the prevalence of inter-ictal clinical signs of FND in a cohort of patients with probable FDS. The secondary objective was to compare the prevalence of inter-ictal FND clinical signs in FDS patients with age- and gender-matched epileptic patients without FDS.

METHODS

Patients diagnosed with FDS seen at two tertiary care centres and epileptic outpatients were included in the study. Each patient underwent a physical examination, searching for inter-ictal clinical signs of FND.

RESULTS

In the FDS group, 79% of patients presented at least one sign of FND, compared to 16.6% of patients with epilepsy (p < 0.001). Moreover, 66.6% of FDS patients presented three or more FND signs, whereas only 4.1% of epileptic patients did (p < 0.001). The median number of FND clinical signs in the FDS group was four (SD 1.7; 5.5). Using the threshold of three signs or more, the specificity of detecting three or more FND signs was 83.3%, with a sensitivity of 79.2%.

CONCLUSION

Inter-ictal clinical signs of FND are present in patients with FDS and should be looked for during neurological examination.

Cognitive correlates of psychopathology in functional/dissociative seizures and non-lesional epilepsy: An exploratory study

OBJECTIVE

To explore the relationship between cognitive functioning and psychopathological features in Functional/Dissociative Seizures (FDS), and test whether this differs from that observed in epilepsy.

METHODS

We recruited a cross-sectional sample of adults (age > 18) with a diagnosis of non-lesional epilepsy or FDS between January 2021 and July 2022 (n = 73). Participants completed a series of psychiatric questionnaires and neuropsychological measures. Spearman's Correlation Coefficient was computed between each of the psychiatric and cognitive measures in each group. Fisher's Z test of significance for independent correlation coefficients then tested the significance of the difference between correlation coefficients for the two groups.

RESULTS

There were no group differences in neuropsychological test scores. However, people with FDS reported higher seizure severity, depression levels, number of medically unexplained somatic symptoms, and exposure to traumatic events compared to epilepsy. Results of the Fisher's Z-test revealed significant differences in correlation coefficients between groups in two instances. First, in the association between the number of traumatic experiences and cognitive switching (z = 2.77, p = 0.006); the number of traumatic experiences were positively associated with cognitive switching in epilepsy but showed a non-significant negative trend in FDS. Secondly, in the association between vocabulary abilities and the number of medically unexplained symptoms (z = -2.71; p = 0.007); higher vocabulary ability was associated with fewer somatic symptoms in epilepsy, while no such correlation was observed in FDS.

SIGNIFICANCE

This study provides preliminary evidence for the complex interplay between cognitive functioning and psychopathology in FDS and epilepsy. Neurocognitive functioning such as vocabulary abilities or attentional switching may play a role in the expression or maintenance of pathological features of FDS.

Psychogenic non-epileptic seizures in individuals with intellectual disability/borderline cognitive function: Characterization through a comparison study

PURPOSE

We set out to characterize psychogenic non-epileptic seizures (PNES) in individuals with either intellectual disability (ID) or borderline intellectual function (BIF) in comparison to those with normal cognitive function. We aimed to identify differences between the two groups to improve clinical management protocols.

METHODS

We conducted a retrospective, observational, single-center study. The medical records of individuals (aged ≥ 14 years) diagnosed with PNES, confirmed through video-electroencephalography (vEEG) at a specialized epilepsy center between January 2008 and December 2021, were reviewed. We restricted our study to individuals who underwent comprehensive neuropsychological evaluations. Furthermore, demographic, clinical, and neuropsychological data with potential prognostic indicators, alongside the reevaluation of vEEG recordings were studied. We compared two study groups based on intelligence quotient (IQ): individuals without ID (IQ≥85; n = 25) and those with either mild ID or BIF (n = 25).

RESULTS

No statistically significant clinical differences were observed between the two groups. Individuals with mild ID/BIF didn't show a longer diagnostic delay, and the prescription of inappropriate antiseizure medications (ASMs) was comparable in both cohorts. Most individuals with mild ID/BIF were treated with behavioral psychotherapeutic approaches with similar outcomes in both subgroups.

CONCLUSIONS

Individuals with mild ID/BIF and PNES don't differ in clinical management. Demographic and clinical data, as well as semiology, were comparable to those of individuals with normal cognitive function. Cognitive behavioral therapy (CBT) appears to be an effective treatment approach for individuals with and without mild ID/BIF. Further studies are needed to validate and ascertain their possible applicability in individuals with moderate/severe ID.

A user's guide for the International Classification of Cognitive Disorders in Epilepsy

To present the background, rationale, details pertaining to use and essential computational steps, synopsis of findings to date, and future directions for the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE)-an initiative of the ILAE Neuropsychology Task Force. Examined are: (a) the 6 steps leading to the derivation of a cognitive phenotype from neuropsychological test data with an accompanying case example, (b) concise review of all IC-CoDE research to date, (c) summary of identified correlates of IC-CoDE outcomes, and (d) future research and clinical directions for the initiative. The IC-CoDE is computationally uncomplicated with individual or group data and represents a novel approach leading to new insights in the neuropsychology of epilepsy, with applications to diverse datasets internationally informing the reliability and validity of the approach. The IC-CoDE represents a novel approach to the analysis and interpretation of neuropsychological data in epilepsy that offers to advance a global taxonomy of cognitive disorders in epilepsy facilitating international collaboration and big data science.

Functional seizure semiology and classification in a public and private hospital

PURPOSE

Our understanding of potential differences in seizure semiology among patients with functional seizures (FS), also known as psychogenic non-epileptic seizures (PNES), across socioeconomic contexts is currently limited. By examining the differences in seizure manifestations between different socioeconomic groups, we aim to enhance the understanding of how socioeconomic factors may influence FS presentation. This study aimed to describe FS semiology in patients from a private and public epilepsy monitoring units (EMUs) in Cape Town, South Africa.

METHODS

The study included patients with FS confirmed through video-electroencephalography (video-EEG) and without comorbid epilepsy. For this retrospective case-control study, data on seizure semiology was gathered from digital patient records, beginning with the earliest available record for each hospital.

RESULTS

A total of 305 patients from a private hospital and 67 patients from a public hospital were eligible for the study (N = 372). The private hospital tended to report more akinetic and subjective seizure types when compared to the public hospital. Additionally, patients at the public hospital had higher odds of reporting emotional seizure triggers (aOR=2.57, 95% CI [1.03, 6.37]), loss of consciousness or awareness (aOR=2.58, 95% CI [1.07, 6.24]), and rapid post-event recovery (aOR=6.01, 95% CI [2.52, 14.34]). At the same time, they were less likely to report both short (<30 s) (aOR=0.21, 95% CI [0.08, 0.55]) and long (>5 min) seizures (aOR=0.73, 95% CI [0.13, 0.56]), amnesia for the event (aOR=0.19, 95% CI [0.09, 0.43]), ictal aphasia (aOR=0.33, 95% CI [0.14, 0.76]) or falls and drop attacks (aOR=0.43, 95% CI [0.18, 0.996]), when compared to the private hospital patients.

CONCLUSION

While the seizure manifestations were largely consistent across the two socioeconomic cohorts of patients with FS, some subtle differences were observed and warrant further investigation.

Prediction begins with diagnosis: Estimating seizure recurrence risk in the First Seizure Clinic

OBJECTIVES

To assess the feasibility of using a seizure recurrence prediction tool in a First Seizure Clinic, considering (1) the accuracy of initial clinical diagnoses and (2) performance of automated computational models in predicting seizure recurrence after first unprovoked seizure (FUS).

METHODS

To assess diagnostic accuracy, we analysed all sustained and revised diagnoses in patients seen at a First Seizure Clinic over 5 years with 6+ months follow-up ('accuracy cohort', n = 487). To estimate prediction of 12-month seizure recurrence after FUS, we used a logistic regression of clinical factors on a multicentre FUS cohort ('prediction cohort', n = 181), and compared performance to a recently published seizure recurrence model.

RESULTS

Initial diagnosis was sustained over 6+ months follow-up in 69% of patients in the 'accuracy cohort'. Misdiagnosis occurred in 5%, and determination of unclassified diagnosis in 9%. Progression to epilepsy occurred in 17%, either following FUS or initial acute symptomatic seizure. Within the 'prediction cohort' with FUS, 12-month seizure recurrence rate was 41% (95% CI [33.8%, 48.5%]). Nocturnal seizure, focal seizure semiology and developmental disability were predictive factors. Our model yielded an Area under the Receiver Operating Characteristic curve (AUC) of 0.60 (95% CI [0.59, 0.64]).

CONCLUSIONS

High clinical accuracy can be achieved at the initial visit to a First Seizure Clinic. This shows that diagnosis will not limit the application of seizure recurrence prediction tools in this context. However, based on the modest performance of currently available seizure recurrence prediction tools using clinical factors, we conclude that data beyond clinical factors alone will be needed to improve predictive performance.

Benzodiazepine receipt in adults with psychogenic non-epileptic seizures in the USA

Background

Characterising benzodiazepine (BZD) prescribing to individuals with psychogenic non-epileptic seizures (PNES) is important for optimising PNES outcomes, but existing data is lacking.

Methods

Using a nationwide administrative claims database (2016-2022), incident PNES was defined as an International classification of diseases, tenth revision, clinical modification (ICD-10-CM) diagnosis in an inpatient or outpatient healthcare encounter after a 1-year period with no documented diagnosis. We described clinical characteristics of adults with incident PNES and estimated the prevalence of outpatient BZD treatment in the baseline year and 30-day follow-up period, with secondary analyses stratifying by baseline ES, anxiety and/or insomnia diagnoses, representing common indications for BZD receipt. We used logistic regression to evaluate predictors of post-PNES BZD receipt.

Results

Among 20 848 adults with incident PNES diagnosis, 33.1% and 15.1% received BZDs in the year and month prior to PNES diagnosis, respectively, and 18.1% received BZDs in the month following a PNES diagnosis; 5.4% of those without prior BZD prescriptions received BZDs after diagnosis. The median days' supply was 30 days, with clonazepam, alprazolam and lorazepam representing the most common BZDs prescribed after PNES. Most people who received BZDs in the month prior to PNES diagnosis remained on BZDs in the month after PNES diagnosis (62.9%), with similar findings in the subcohorts without ES, anxiety and/or insomnia. Baseline BZD receipt and anxiety disorders, but not baseline ES diagnoses, were strong independent predictors of post-PNES BZD receipt.

Conclusions

While new BZD initiation is rare after PNES, most individuals with BZD scripts 1 month before PNES continue scripts after diagnosis.

Nonictal electroencephalographic measures for the diagnosis of functional seizures

OBJECTIVE

Functional seizures (FS) look like epileptic seizures but are characterized by a lack of epileptic activity in the brain. Approximately one in five referrals to epilepsy clinics are diagnosed with this condition. FS are diagnosed by recording a seizure using video-electroencephalography (EEG), from which an expert inspects the semiology and the EEG. However, this method can be expensive and inaccessible and can present significant patient burden. No single biomarker has been found to diagnose FS. However, the current limitations in FS diagnosis could be improved with machine learning to classify signal features extracted from EEG, thus providing a potentially very useful aid to clinicians.

METHODS

The current study has investigated the use of seizure-free EEG signals with machine learning to identify subjects with FS from those with epilepsy. The dataset included interictal and preictal EEG recordings from 48 subjects with FS (mean age = 34.76 ± 10.55 years, 14 males) and 29 subjects with epilepsy (mean age = 38.95 ± 13.93 years, 18 males) from which various statistical, temporal, and spectral features from the five EEG frequency bands were extracted then analyzed with threshold accuracy, five machine learning classifiers, and two feature importance approaches.

RESULTS

The highest classification accuracy reported from thresholding was 60.67%. However, the temporal features were the best performing, with the highest balanced accuracy reported by the machine learning models: 95.71% with all frequency bands combined and a support vector machine classifier.

SIGNIFICANCE

Machine learning was much more effective than using individual features and could be a powerful aid in FS diagnosis. Furthermore, combining the frequency bands improved the accuracy of the classifiers in most cases, and the lowest performing EEG bands were consistently delta and gamma.

Biomarkers and Rehabilitation for Functional Neurological Disorder

Functional neurological disorder, or FND, is widely misunderstood, particularly when considering recent research indicating that the illness has numerous biological markers in addition to its psychiatric disorder associations. Nonetheless, the long-held view that FND is a mental illness without a biological basis, or even a contrived (malingered) illness, remains pervasive both in current medical care and general society. This is because FND involves intermittent disability that rapidly and involuntarily alternates with improved neurological control. This has in turn caused shaming, perceived low self-efficacy, and social isolation for the patients. Until now, biomarker reviews for FND tended not to examine the features that are shared with canonical neurological disorders. This review, in contrast, examines current research on FND biomarkers, and in particular their overlap with canonical neurological disorders, along with the encouraging outcomes for numerous physical rehabilitation trials for FND. These findings support the perspective endorsed here that FND is unquestionably a neurological disorder that is also associated with many biological markers that lie outside of the central nervous system. These results suggest that FND entails multiple biological abnormalities that are widely distributed in the body. General healthcare providers would benefit their care for their patients through their improved understanding of the illness and recourses for support and treatment that are provided in this review.

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

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

"What are your seizures telling you?": A therapeutic tool for functional seizures

BACKGROUND

Understanding illness representations is considered important for improving health outcomes, yet how people with functional seizures reflect on the possible psychological function of their seizures has not been studied.

METHODS

A semi-structured interview comprising open and closed questions was administered to 99 participants with a documented diagnosis of functional seizures. One item, 'What do you think your functional seizure symptoms are telling you?" sought to explore how individuals reflect on the possible function of their seizures. Qualitative analysis using NVivo comprised thematic content analysis of responses to the question, and pattern analysis, to determine association with diagnosis acceptance, and openness to a possible psychological aetiology.

RESULTS

Most patients (88 %) readily interpreted their seizures in response to this question. We identified one major theme, with the majority of participants interpreting seizure symptoms as an enforced hiatus. Two minor themes were identified: personal growth and contempt. Subthemes were identified within both the enforced hiatus (stop, slow down, relax) and personal growth (self-care, self-development, acceptance) themes. Individuals who did not accept the diagnosis of functional seizures referenced seizures with contempt towards the self or answered, 'don't know'. Respondents who did not know also tended to reject a psychological basis for their seizures in contrast to those who discussed themes of enforced hiatus, personal growth, and contempt.

CONCLUSIONS

Responses provide valuable insight into how individuals reflect on their condition in a non-acute setting. Themes can serve as a foundation for future therapeutic discussions and patient-centred communication strategies to build a mutual understanding of the potential function of physical symptoms regardless of whether a psychological basis for them is accepted or not. What is already known on this topic: Outcomes for functional seizures are generally poor and often attributed to patients rejecting psychiatric care or not accepting the diagnosis.

WHAT THIS STUDY ADDS

This study is the first to explore patient conceptualisations of the possible function of their functional seizures as a therapeutic tool for understanding the condition. How this study might affect research, practice, or policy: Findings may provide a basis for improved clinician-patient relationships, treatment engagement, and more targeted interventions for people with functional seizures.

Functional seizures and binge eating disorder: A cross-sectional study

OBJECTIVE

Functional seizures (FS) are brief, involuntary changes in behaviour or consciousness, distinct from epileptic seizures, potentially associated with psychological dissociation. Binge eating disorder (BED) was linked to psychological and somatic dissociation also. However, any connection between FS and BED is insufficiently explored. We aimed to assess BED prevalence in individuals with FS, anxiety/depression (AD), and healthy subjects (HS), to investigate dissociation's link to binge eating, and to explore psychological characteristics of FS individuals.

METHOD

Participants underwent evaluations based on ILAE guidelines and DSM-5 criteria, including questionnaires assessing binge eating, dissociation, anxiety, depression and personality traits. Inclusion criteria were age > 18 years, no history of substance abuse, no history of epilepsy, and no use of medications inducing eating disorders.

RESULTS

We found significantly more frequent and severe binge-eating symptoms in individuals with FS and AD compared to HS. Depression and dissociation correlated with binge-eating symptoms in both AD and FS groups. The PID-5 facet 'Perseveration' predicted binge-eating attitudes only in FS individuals; they reported more childhood emotional neglect and increased disinhibition compared do AD people.

DISCUSSION

This study underscores the commonality of binge-eating symptoms in FS individuals, emphasizing its association with dissociation symptoms. This finding support the hypothesis of a link between dissociation and eating disorders. Unique clinical characteristics in individuals with FS were identified, as a compulsive dimension related to binge-eating symptoms, providing a comprehensive understanding of their psychological profile and guiding targeted therapeutic interventions.

Altered fronto-limbic-motor response to stress differs between functional and epileptic seizures in a TBI model

BACKGROUND AND OBJECTIVES

Psychogenic nonepileptic (functional) seizures (FS) clinically resemble epileptic seizures (ES) with both often preceded by traumatic brain injury (TBI). FS and ES emergence and occurrence after TBI may be linked to aberrant neurobehavioral stress responses. We hypothesized that neural activity signatures in response to a psychosocial stress task would differ between TBI + FS and TBI + ES after controlling for TBI status (TBI-only).

METHODS

In the current multicenter study, participants were recruited prospectively from Rhode Island Hospital, Providence Rhode Island Veterans Administration Medical Center, and the University of Alabama at Birmingham Medical Center. Previous diagnoses of TBI, ES, and FS were verified based on data collected from participants, medical chart and record review, and, where indicated, results of EEG and/or video-EEG confirmatory diagnosis. TBI + ES (N = 21) and TBI + FS (N = 21) were matched for age and sex and combined into an initial group (TBI + SZ; N = 42). A TBI-only group (N = 42) was age and sex matched to the TBI with seizures (TBI + SZ) group. All participants completed an fMRI control math task (CMT) and stress math task (SMT) based on the Montreal Imaging Stress Task (MIST).

RESULTS

The TBI + SZ group (n = 24 female) did not differ in mood or anxiety severity compared to TBI-only group (n = 24 female). However, TBI + FS group (n = 11 female) reported greater severity of these symptoms compared to TBI + ES (n = 13 female). The linear mixed effects analysis identified neural responses that differed between TBI-only and TBI + SZ during math performance within the left premotor cortex and during auditory feedback within bilateral prefrontal cortex and hippocampus/amygdala regions. Additionally, neural responses differed between TBI + ES and TBI + FS during math performance within the right dorsolateral prefrontal cortex and bilateral amygdala during auditory feedback within the supplementary motor area. All tests comparing neural stress responses to psychiatric symptom severity failed to reach significance.

DISCUSSION

Controlling for TBI and seizure status, these findings implicate specific nodes within frontal, limbic, and sensorimotor networks that may maintain functional neurological symptoms and possibly distinguish FS from ES. This study provides class II evidence of differences in neural responses to psychosocial stress between ES and FS after TBI.

Psychogenic Non-epileptic Seizure in a Laboring Female: A Case Report

Psychogenic non-epileptic seizures (PNES) are seizure-like activities characterized by motor and sensory impairments that are mild and mimic other medical conditions. They are commonly associated with psychiatric conditions and are typically a diagnosis of exclusion. These episodes are generally uncommon and rarely seen in pregnancy or labor. The treatment consists of managing the underlying cause as well as cognitive behavioral therapy. They may mimic absence seizures, which are diagnosed when there are episodes of staring present. This report presents the case of a 26-year-old laboring female who experienced multiple psychogenic seizures. The purpose of this case report is to illustrate how psychogenic non-epileptic seizures (PNES) can imitate epileptic or absence seizures and, thus, should be a diagnosis considered in females in labor.

Young people diagnosed with psychogenic nonepileptic seizures (PNES) years ago - How are they now?

BACKGROUND

Up to 30% of patients referred to epilepsy centres for drug-resistant epilepsy turn out to have psychogenic nonepileptic seizures (PNES). Patients with PNES are a very heterogeneous population with large differences in regard to underlying causes, seizures severity, and impact on quality of life. There is limited knowledge regarding the long-term seizure prognosis of youth with PNES and its influential factors.

METHODS

We have performed a retrospective study on adolescents diagnosed with PNES who were receiving inpatient care at our hospital for 2-4 weeks in the period of 2012-2020. They all attended psychoeducational courses to educate them about PNES, coping with the seizures, and possible contributors to seizure susceptibility. There were 258 patients who fulfilled the inclusion criteria. We contacted them by text messages, through which they received brief information about the study and an invitation to participate. There were 62 patients (24 %) who agreed and participated in structured telephone interviews. We excluded 10 patients due to concomitant epilepsy. The mean age of the remaining 52 participants was 20.9 years (16-28 years), and 45 (87 %) were women.

RESULTS

After a mean of 4.7 years (2-9 years) since discharge from our hospital, 28 patients (54 %) had been free of seizures in the last 6 months. There were 16 patients (31 %) who had better situations in regard to seizures but were not completely seizure free, while 8 patients (15 %) were either unchanged (3 patients) or worse (5 patients). There were 39 patients (75 %) who had received conversation therapy, and 37 patients (71 %) had been treated by a psychologist or psychiatrist. There were 10 patients (19 %) who had dropped out of school or work, and the percentage increased with age. There were 42 patients (80 %) who perceived their health as good or very good.

CONCLUSION

Patients had a relatively favourable seizure prognosis as 54% were free of seizures and 31% had a better seizure situation, at the time of this study. However, the fact that 19% had dropped out of school or work was worrying. Young age and satisfaction with treatment were associated with being employed or receiving education. Satisfaction with perceived treatment was significantly associated with personal experience of good health. This emphasizes the importance of early diagnosis, adapted interventional measures, and long-term follow-up by healthcare for young people with PNES.

The role of neuropsychology in the care of patients with functional neurological symptom disorder

OBJECTIVE

Functional neurological symptom disorder (FNSD) is a neuropsychiatric condition characterized by signs/symptoms associated with brain network dysfunction. FNSDs are common and are associated with high healthcare costs. FNSDs are relevant to neuropsychologists, as they frequently present with chronic neuropsychiatric symptoms, subjective cognitive concerns, and/or low neuropsychological test scores, with associated disability and reduced quality of life. However, neuropsychologists in some settings are not involved in care of patients with FNSDs. This review summarizes relevant FNSD literature with a focus on the role of neuropsychologists.

METHODS

A brief review of the literature is provided with respect to epidemiology, public health impact, symptomatology, pathophysiology, and treatment.

RESULTS

Two primary areas of focus for this review are the following: (1) increasing neuropsychologists' training in FNSDs, and (2) increasing neuropsychologists' role in assessment and treatment of FNSD patients.

CONCLUSIONS

Patients with FNSD would benefit from increased involvement of neuropsychologists in their care.

Personality disorders in individuals with functional seizures: a systematic review

Functional seizures (FS) are classified as conversion disorders in the DSM-5 and dissociative disorders in the ICD-11, showing a multifactorial psychopathology with various psychiatric comorbidities, such as depression and anxiety. Several studies have found a correlation between FS and personality disorders, mainly those in cluster B. Within this cluster, borderline personality disorder (BPD) or borderline personality traits are the most prevalent in FS. Emotion dysregulation is a hallmark of BPD and is commonly reported in individuals with FS. Cluster C personality disorders, such as avoidant or obsessive-compulsive disorders, have also been reported in FS. In this review, we aim to evaluate the relationship between FS and personality disorders. Assessing personality disorders in the context of FS is relevant for determining the most appropriate intervention. Cognitive-behavioral therapy (CBT) is considered the first-line approach to treating FS. Among various CBT strategies, dialectical behavior therapy, which specifically targets emotion dysregulation, may be helpful for individuals with BPD. Future research should assess the advantages of systematically evaluating personality disorders in FS to address specific treatment planning and evaluate its effectiveness on seizure recurrence, psychological comorbidities, and quality of life.

Systematic review registration

https://www.crd.york.ac.uk/PROSPEROFILES/509286_STRATEGY_20240203.pdf, identifier CRD42024509286.

Disconjugate paroxysmal oculomotor movements in psychogenic nonepileptic seizures: A video-EEG study of three patients

Content available: Video

Grading objective diagnostic components in paroxysmal events: One-year follow-up at a tertiary epilepsy center

OBJECTIVE

This study was undertaken to develop a model and perform a preliminary internal validation study of the Scale for Objective Diagnostic Components of Paroxysmal Events (STAMP).

METHODS

We developed STAMP, which builds on the International League Against Epilepsy task force scale for functional seizures with additional categories for epileptic seizures and syncope. We included 200 consecutive referrals to a Dutch tertiary epilepsy center to evaluate seizurelike events. We recorded demographic and clinical data and collected the clinical evaluation at referral and after 3, 6, 9, and 12 months of follow-up. We ascertained the STAMP at each time point and evaluated factors predicting an improvement in STAMP grade during follow-up.

RESULTS

Of the 200 referrals at baseline, 131 were classified as having epileptic seizures, 17 as functional seizures, and three as syncope, and 49 were unclassifiable. STAMP grade at baseline was 4 (absent) in 56 individuals, 3 (circumstantial) in 78, 2 (clinically established) in six, and 1 (documented) in 11. Over time, 62 cases STAMP grades improved, and 23 remained unclassifiable. A refinement of STAMP grade during follow-up was due to successful event recordings in 34 people (30 video-electroencephalographic [EEG] recordings, four tilt table testing), home videos or clinician-witnessed events in 13, and identification of interictal EEG or magnetic resonance imaging abnormalities in seven. An improved STAMP grade after 12 months of follow-up was significantly more likely in those with higher event frequency, unclassifiable events, longer event duration, and a shorter time since the first event and less likely in those with a history suggestive of seizures.

SIGNIFICANCE

This epilepsy service evaluation underscores the crucial role of event recording in improving diagnostic certainty. STAMP may be used to monitor diagnostic performance over time but requires further validation.

Dissimilar Changes in Serum Cortisol after Epileptic and Psychogenic Non-Epileptic Seizures: A Promising Biomarker in the Differential Diagnosis of Paroxysmal Events?

The hypothalamic-pituitary-adrenal axis is known to be involved in the pathogenesis of epilepsy and psychiatric disorders. Epileptic seizures (ESs) and psychogenic non-epileptic seizures (PNESs) are frequently differentially misdiagnosed. This study aimed to evaluate changes in serum cortisol and prolactin levels after ESs and PNESs as possible differential diagnostic biomarkers. Patients over 18 years with ESs (n = 29) and PNESs with motor manifestations (n = 45), captured on video-EEG monitoring, were included. Serum cortisol and prolactin levels as well as hemograms were assessed in blood samples taken at admission, during the first hour after the seizure, and after 6, 12, and 24 h. Cortisol and prolactine response were evident in the ES group (but not the PNES group) as an acute significant increase within the first hour after seizure. The occurrence of seizures in patients with ESs and PNESs demonstrated different circadian patterns. ROC analysis confirmed the accuracy of discrimination between paroxysmal events based on cortisol response: the AUC equals 0.865, with a prediction accuracy at the cutoff point of 376.5 nmol/L 0.811 (sensitivity 86.7%, specificity 72.4%). Thus, assessments of acute serum cortisol response to a paroxysmal event may be regarded as a simple, fast, and minimally invasive laboratory test contributing to differential diagnosis of ESs and PNESs.

Cognitive performance in functional seizures compared with epilepsy and healthy controls: a systematic review and meta analysis

BACKGROUND

Cognition is a core component of functional seizures, but the literature on cognition in this disorder has been heterogeneous, with no clear unifying profile emerging from individual studies. The aim of this study was to do a systematic review and meta-analysis of cognitive performance in adults with functional seizures compared with epilepsy (including left temporal lobe epilepsy) and compared with healthy non-seizure cohorts.

METHODS

In this systematic review and meta-analysis, starting Feb 6, 2023, replicated and updated on Oct 31, 2023, a medical librarian searched MEDLINE, Embase, PsycINFO, and Web of Science. Inclusion criteria were full reports documenting raw or standardised cognitive test data in adults with functional seizures compared with adults with epilepsy, prospectively recruited healthy comparisons, or published norms. Grey literature was retained and there were no language or date restrictions. We excluded studies only reporting on mixed functional seizures and epilepsy, or mixed functional neurological samples, with no pure functional seizures group. Risk of bias was evaluated using a modified version of the Newcastle-Ottawa Scale. People with lived experiences were not involved in the design or execution of this study. This study is registered as CRD42023392385 in PROSPERO.

FINDINGS

Of 3834 records initially identified, 84 articles were retained, including 8654 participants (functional seizures 4193, epilepsy 3638, and healthy comparisons 823). Mean age was 36 years (SD 12) for functional seizures, 36 years (12) for epilepsy, and 34 years (10) for healthy comparisons, and the proportion of women per group was 72% (range 18-100) for functional seizures, 59% (range 15-100) for epilepsy, and 69% (range 34-100) for healthy comparisons. Data on race or ethnicity were rarely reported in the individual studies. Risk of bias was moderate. Cognitive performance was better in people with functional seizures than those with epilepsy (Hedges' g=0·17 [95% CI 0·10-0·25)], p<0·0001), with moderate-to-high heterogeneity (Q[56]=128·91, p=0·0001, I2=57%). The functional seizures group performed better than the epilepsy group on global cognition and intelligence quotient (g=0·15 [0·02-0·28], p=0·022) and language (g=0·28 [0·14-0·43], p=0·0001), but not other cognitive domains. A larger effect was noted in language tests when comparing functional seizures with left temporal lobe epilepsy (k=5; g=0·51 [0·10 to 0·91], p=0·015). The functional seizures group underperformed relative to healthy comparisons (g=-0·61 [-0·78 to -0·44], p<0·0001), with significant differences in all cognitive domains. Meta regressions examining effects of multiple covariates on global cognition were not significant.

INTERPRETATION

Patients with functional seizures have widespread cognitive impairments that are likely to be clinically meaningful on the basis of moderate effect sizes in multiple domains. These deficits might be slightly less severe than those seen in many patients with epilepsy but nevertheless argue for consideration of clinical assessment and treatment.

FUNDING

Department of Veterans Affairs, Veterans Health Administration.

Misdiagnosis of functional neurological symptom disorders in paediatrics: Narrative review and relevant case report

Functional neurological symptom disorders (FNSD) pose a common challenge in clinical practice, particularly in pediatric cases where the clinical phenotypes can be intricate and easily confused with structural disturbances. The frequent coexistence of FNSDs with other medical disorders often results in misdiagnosis. In this review, we highlight the distinctions between FNSD and various psychiatric and neurological conditions. Contrary to the misconception that FNSD is a diagnosis of exclusion, we underscore its nature as a diagnosis of inclusion, contingent upon recognizing specific clinical features. However, our focus is on a critical learning point illustrated by the case of a 14-year-old male initially diagnosed with FNSD, but subsequently found to have a rare primary monogenic movement disorder (paroxysmal kinesigenic dyskinesia, PKD). The crucial takeaway from this case is the importance of avoiding an FNSD diagnosis based solely on psychiatric comorbidity and suppressible symptoms. Instead, clinicians should diligently assess for specific features indicative of FNSD, which were absent in this case. This emphasizes the importance of making a diagnosis of inclusion. Extended follow-up and clinical-oriented genetic testing might help identify comorbidities, prevent misdiagnosis, and guide interventions in complex cases, which cannot be simply classified as "functional" solely because other conditions can be excluded.

Medical and psychiatric comorbidities, somatic and cognitive symptoms, injuries and medical procedure history in patients with functional seizures from a public and a private hospital

PURPOSE

Patients with functional seizures (FS), otherwise known as psychogenic non-epileptic seizures (PNES), from different socioeconomic backgrounds may differ, however, this remains a gap in current literature. Comorbidities can play both a precipitating and a perpetuating role in FS and are important in the planning of individual treatment for this condition. With this study, we aimed to describe and compare the reported medical and psychiatric comorbidities, injuries, somatic and cognitive symptoms, and medical procedures among patients with FS from a private and a public epilepsy monitoring unit (EMU) in Cape Town, South Africa.

METHODS

This is a retrospective case-control study. We collected data on the comorbidity and medical procedure histories, as well as symptoms and clinical signs reported by patients with video-electroencephalographically (video-EEG) confirmed FS without comorbid epilepsy. We used digital patient records starting with the earliest available digital record for each hospital until the year 2022.

RESULTS

A total of 305 patients from a private hospital and 67 patients from a public hospital were included in the study (N = 372). Public hospital patients had higher odds of reporting intellectual disability (aOR=15.58, 95% CI [1.80, 134.95]), circulatory system disease (aOR=2.63, 95% CI [1.02, 6.78]) and gait disturbance (aOR=8.52, 95% CI [1.96, 37.08]) compared to patients with FS attending the private hospital. They did, however, have fewer odds of reporting a history of an infectious or parasitic disease (aOR=0.31, 95% CI [0.11, 0.87]), respiratory system disease (aOR=0.23, 95% CI [0.06, 0.82]), or medical procedures in the past (aOR=0.32, 95% CI [0.16, 0.63]).

CONCLUSION

The study presents prevalence and comparative data on the medical profiles of patients with FS from different socioeconomic backgrounds which may inform future considerations in FS diagnosis and treatment.

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.

Sensory Processing Difficulties and Occupational Therapy Outcomes for Functional Neurological Disorder: A Retrospective Cohort Study

Background and Objectives

Occupational therapy (OT) consensus recommendations and articles outlining a sensory-based OT intervention for functional neurological disorder (FND) have been published. However, limited research has been conducted to examine the efficacy of OT interventions for FND. We performed a retrospective cohort study aimed at independently replicating preliminarily characterized sensory processing difficulties in patients with FND and reporting on clinical outcomes of a sensory-based OT treatment in this population. We hypothesized that (1) a history of functional seizures, anxiety, and/or post-traumatic stress disorder would be associated with increased sensory processing difficulties and (2) the number of OT treatment sessions received would positively relate to clinical improvement.

Methods

Medical records were reviewed for 77 consecutive adults with FND who received outpatient, sensory-based OT care. Data from the Adolescent/Adult Sensory Profile characterized self-reported sensory processing patterns across 4 quadrants (low registration, sensory sensitivity, sensory seeking, and sensory avoidance) in this population. Following univariate screenings, multivariate linear regression analyses were performed to identify neuropsychiatric characteristics associated with discrete sensory processing patterns. Clinical improvement was quantified using an estimated, clinician-determined improvement rating ("improved" vs "not improved"), and relationships between clinical participation, baseline neuropsychiatric factors, and outcomes were investigated.

Results

Patients with FND reported sensory processing patterns with elevated scores in low registration, sensory sensitivity, and sensation avoidance compared with normative values; differences in sensory processing scores were not observed across FND subtypes (i.e., motor, seizure, and speech variants). In linear regression analyses, lifetime history of an anxiety disorder, history of migraine headaches, current cognitive complaints, and a comorbid major neurologic condition independently predicted individual differences in sensory processing scores. Following a sensory-based OT intervention, 62% of individuals with FND were clinician determined as "improved." In a multivariate logistic regression analysis controlling for baseline characteristics associated with improvement ratings, number of treatment sessions positively correlated with clinical improvement.

Discussion

These findings support the presence of sensory processing difficulties in patients with FND and provide Class IV evidence for the efficacy of an outpatient, sensory-based OT intervention in this population. Controlled prospective trials are warranted.

Do we intervene less and slower in the epilepsy monitoring unit for psychogenic seizures?

PURPOSE

Individuals with psychogenic non-epileptic seizures (PNES) can be stigmatized in healthcare settings. We aimed to compare intervention rate (IR), intervention time (IT), and adverse event (AE) rate between PNES and epileptic seizures (ES) in the epilepsy monitoring unit (EMU).

METHODS

We used a prospective database of consecutive admissions to our centre's EMU between August 2021 and September 2022. We excluded purely electric seizures and vague, minor spells with no EEG correlate. We therefore only included electroclinical seizures and PNES. We compared the IR, IT, and AE rate between PNES and ES, as diagnosed by an epileptologist during EEG monitoring. We performed the same comparisons between spells occurring in people admitted with a high vs low suspicion of PNES (HSP vs LSP). We also verified if ITs became longer with repeated PNES.

RESULTS

We analyzed 586 spells: 43 PNES vs 543 ES, or 133 HSP vs 453 LSP. Our univariate analyses showed that IR was higher for PNES than for ES (93 % vs 61 %, p <.001) but that IT and AE rate were similar across groups. This higher IR was only apparent outside weekday daytime hours, when EEG technologists were not present. HSP did not differ from LSP in terms of IR, IT, and AE rate. As PNES accumulated in individual patients, IT tended to be longer (Spearman's correlation = 0.42; p =.012).

SIGNIFICANCE

Our EMU staff did not intervene less or slower for PNES. Rather, IR was higher for PNES than for ES, but IT tended to be longer with repeat PNES.

Brain network entropy, depression, and quality of life in people with traumatic brain injury and seizure disorders

OBJECTIVE

Traumatic brain injury (TBI) often precedes the onset of epileptic (ES) or psychogenic nonepileptic seizures (PNES) with depression being a common comorbidity. The relationship between depression severity and quality of life (QOL) may be related to resting-state network complexity. We investigated these relationships in adults with TBI-only, TBI + ES, or TBI + PNES using Sample Entropy (SampEn), a measure of physiologic signals complexity.

METHODS

Adults with TBI-only (n = 60), TBI + ES (n = 21), or TBI + PNES (n = 56) completed the Beck Depression Inventory-II (BDI-II; depression symptom severity) and QOL in Epilepsy (QOLIE-31) assessments and underwent resting-state functional magnetic resonance imaging (rs-fMRI). SampEn values derived from six resting state functional networks were calculated per participant. Effects of group, network, and group-by-network-interactions for SampEn were investigated with a mixed-effects model. We examined relationships between BDI-II, QOL, and SampEn of each of the networks.

RESULTS

Groups did not differ in age, but there was a higher proportion of women with TBI + PNES (p = 0.040). TBI + ES and TBI-only groups did not differ in BDI-II or QOLIE-31 scores, while the TBI + PNES group scored worse on both measures. The fixed effects of the model revealed significant differences in SampEn values across networks (lower SampEn for the frontoparietal network compared to other networks). The likelihood ratio test for group-by-network-interactions was significant (p = 0.033). BDI-II was significantly negatively associated with Overall QOL scale scores in all groups, and significantly negatively associated with network SampEn values only in the TBI + PNES group.

SIGNIFICANCE

Only TBI + PNES had significant relationships between depression symptom severity and network SampEn values indicating that the resting state network complexity is related to depression severity in this group but not in TBI + ES or TBI-only.

PLAIN LANGUAGE SUMMARY

The brain has a complex network of internal connections. How well these connections work may be affected by TBI and seizures and may underlie mental health symptoms including depression; the worse the depression, the worse the quality of life. Our study compared brain organization in people with TBI, people with epilepsy after TBI, and people with nonepileptic seizures after TBI. Only people with nonepileptic seizures after TBI showed a relationship between how organized their brain connections were and how bad was their depression. We need to better understand these relationships to develop more impactful, effective treatments.

Identifying Myoclonic Epilepsy Misdiagnosed as Psychogenic Nonepileptic Seizures: Challenges in Differential Diagnosis

Psychogenic nonepileptic seizures (PNES) and epileptic seizures often present with similar clinical manifestations. This case report describes the diagnostic journey of a 24-year-old female initially diagnosed with PNES but later found to have myoclonic epilepsy upon comprehensive evaluation. The patient presented with recurrent episodes characterized by sudden loss of awareness, jerking movements, and urinary incontinence, often triggered by stressors. Initial assessment, including video-electroencephalography (EEG) monitoring, did not reveal epileptiform activity, leading to the provisional diagnosis of PNES. However, the persistence of symptoms and doubts regarding the diagnosis prompted further investigation, which uncovered generalized spike-and-wave discharges on repeat EEG studies. The diagnosis of myoclonic epilepsy was established based on these findings, and treatment with valproate resulted in a significant reduction in seizure frequency. This case underscores the importance of a thorough evaluation in distinguishing between seizure disorders and psychogenic manifestations, emphasizing the need for collaborations between neurology and psychology disciplines for accurate diagnosis and management.

Death of a loved one: A potential risk factor for onset of functional seizures

Functional seizures (FS) are a symptom of Functional Neurological Disorder (FND), the second most common neurological diagnosis made worldwide. Childhood trauma is associated with the development of FS, but more research is needed to truly understand the effects of trauma on FS onset. A sample of 256 responses by adults with FS to the Childhood Traumatic Events Scale were analyzed using a Cox proportional hazard model. When investigating each unique childhood traumatic exposure and its associated self-reported severity together, experiencing death of a loved one and experiencing violence were significantly associated with FS onset, suggesting reduced time from trauma exposure to first FS. Death of a loved one in childhood is often overlooked as an influential risk factor for future development of serious mental illnesses such as FS. In this study we show death of a loved one in childhood should be considered as an influential traumatic experience and recommend FND researchers examine its prevalence in patient histories and the potential effects on attachment-related processes and clinical treatment formulations. We recommend future studies incorporate loss of a loved one during childhood (before age 18) in both quantitative and qualitative assessments of persons with FND.

Evaluation of quality of life's prognostic factors in people with functional seizures

AIMS

Functional non-epileptic seizures significantly impact the quality of life of patients. We aimed to identify prognostic factors associated with the quality of life in individuals with functional non-epileptic seizures.

SUBJECTS AND METHODS

Adult patients diagnosed with definite or documented functional seizures based on LaFrance's criteria (n=72) were enrolled at the time of diagnosis. Quality of life was assessed using the Quality of Life in Epilepsy Inventory-31 (QOLIE-31) at diagnosis and at a six-month follow-up. Demographic and medical information was collected, and psychiatric comorbidities were evaluated using validated scales.

RESULTS

Comparisons between diagnosis and follow-up did not reveal any factors associated with improvement in quality of life at six months after diagnosis. However, multivariable analysis, adjusted for age, sex, diagnosis delay, and frequency of functional seizures showed a significant cross-sectional relationship with a QOLIE-31 score decrease of 0.66 [95% CI -0.93;-0.39], -0.32 [-0.61; -0.03], and -0.22 [-0.42; -0.02] for an increase of 1 point of BDI-2 score, BAI score, and CTQ score respectively.

CONCLUSION

Psychiatric comorbidities, particularly depression and anxiety, are associated with worse quality of life in patients with functional seizures. This underscores the crucial importance of multidisciplinary care involving both neurological and psychiatric expertise when managing individuals with functional seizures.

A complex case with generalized epilepsy, probable focal seizures, and functional seizures

In this patient, now 42 years old, genetic generalized epilepsy (juvenile myoclonic epilepsy) manifested itself at the age of 13. At the age of 39, she experienced a status episode with prolonged ICU treatment. She was left with a left-sided hippocampal sclerosis and probably focal seizures. In addition, since the age of 24, the patient also experiences functional seizures on the background of a borderline personality disorder. While generalized epileptic seizures could be controlled with antiseizure medication (ASM), the patient was multiple times admitted to Emergency Departments for her functional seizures with subsequent intensive care treatments, including intubation. As a complication, the patient developed critical illness polyneuropathy and myopathy, resulting in wheelchair dependence. Additionally, she acquired a complex regional pain syndrome after extravasation of ASM. The report demonstrates the uncommon development of hippocampal sclerosis after a generalized tonic-clonic status epilepticus and the poor treatability of functional seizures as compared to generalized and focal seizures.

Exploring psychedelic-assisted therapy in the treatment of functional seizures: A review of underlying mechanisms and associated brain networks

Functional seizures (FS), the most common subtype of functional neurological disorder (FND), cause serious neurological disability and significantly impact quality of life. Characterized by episodic disturbances of functioning that resemble epileptic seizures, FS coincide with multiple comorbidities and are treated poorly by existing approaches. Novel treatment approaches are sorely needed. Notably, mounting evidence supports the safety and efficacy of psychedelic-assisted therapy (PAT) for several psychiatric conditions, motivating investigations into whether this efficacy also extends to neurological disorders. Here, we synthesize past empirical findings and frameworks to construct a biopsychosocial mechanistic argument for the potential of PAT as a treatment for FS. In doing so, we highlight FS as a well-defined cohort to further understand the large-scale neural mechanisms underpinning PAT. Our synthesis is guided by a complexity science perspective which we contend can afford unique mechanistic insight into both FS and PAT, as well as help bridge these two domains. We also leverage this perspective to propose a novel analytic roadmap to identify markers of FS diagnostic specificity and treatment success. This endeavor continues the effort to bridge clinical neurology with psychedelic medicine and helps pave the way for a new field of psychedelic neurology.

Recent advances in understanding the neurobiology of pediatric functional neurological disorder

INTRODUCTION

Functional neurological disorder (FND) is a neuropsychiatric disorder that manifests in a broad array of functional motor, sensory, or cognitive symptoms, which arise from complex interactions between brain, mind, body, and context. Children with FND make up 10%-20% of presentations to neurology services in children's hospitals and up to 20% of adolescents admitted to hospital for the management of intractable seizures.

AREAS COVERED

The current review focuses on the neurobiology of pediatric FND. The authors present an overview of the small but growing body of research pertaining to the biological, emotion-processing, cognitive, mental health, physical health, and social system levels.

EXPERT OPINION

Emerging research suggests that pediatric FND is underpinned by aberrant changes within and between neuron-glial (brain) networks, with a variety of factors - on multiple system levels - contributing to brain network changes. In pediatric practice, adverse childhood experiences (ACEs) are commonly reported, and activation or dysregulation of stress-system components is a frequent finding. Our growing understanding of the neurobiology of pediatric FND has yielded important flow-on effects for assessing and diagnosing FND, for developing targeted treatment interventions, and for improving the treatment outcomes of children and adolescents with FND.

Design and validation of a diagnostic suspicion checklist to differentiate epileptic from psychogenic nonepileptic seizures (PNES-DSC)

OBJECTIVE

Psychogenic non-epileptic seizures (PNES) are complex clinical manifestations and misdiagnosis as status epilepticus remains high, entailing deleterious consequences for patients. Video-electroencephalography (vEEG) remains the gold-standard method for diagnosing PNES. However, time and economic constraints limit access to vEEG, and clinicians lack fast and reliable screening tools to assist in the differential diagnosis with epileptic seizures (ES). This study aimed to design and validate the PNES-DSC, a clinically based PNES diagnostic suspicion checklist with adequate sensitivity (Se) and specificity (Sp) to discriminate PNES from ES.

METHODS

A cross-sectional study with 125 patients (n = 104 drug-resistant epilepsy; n = 21 PNES) admitted for a vEEG protocolised study of seizures. A preliminary PNES-DSC (16-item) was designed and used by expert raters blinded to the definitive diagnosis to evaluate the seizure video recordings for each patient. Cohen's kappa coefficient, leave-one-out cross-validation (LOOCV) and balance accuracy (BAC) comprised the main validation analysis.

RESULTS

The final PNES-DSC is a 6-item checklist that requires only two to be present to confirm the suspicion of PNES. The LOOCV showed 71.4% BAC (Se = 45.2%; Sp = 97.6%) when the expert rater watched one seizure video recording and 83.4% BAC (Se = 69.6%; Sp = 97.2%) when the expert rater watched two seizure video recordings.

CONCLUSION

The PNES-DSC is a straightforward checklist with adequate psychometric properties. With an integrative approach and appropriate patient history, the PNES-DSC can assist clinicians in expediting the final diagnosis of PNES when vEEG is limited. The PNES-DSC can also be used in the absence of patients, allowing clinicians to assess seizure recordings from smartphones.

Breathing control training for functional seizures: A multi-site, open-label pilot study

There are no well-validated treatments for functional seizures. While specialist psychotherapy is usually recommended, the evidence for its benefit is qualified, and it can be difficult to obtain. Given the association between hyperventilation and functional seizures we explored an alternative modality, breathing control training, in a multi-site open label pilot trial. Participants with functional seizures over the age of 16 received an hour of breathing training from a respiratory physiotherapist, with a half-hour booster session a month later. Seizure frequency and Nijmegen scores (a measure of hyperventilation) were reported at baseline and follow-up, 3-4 months later. Eighteen subjects were recruited, and 10 completed follow-up. Seven of these 10 had improved seizure frequency, and 3 did not (Wilcoxon signed rank test, p = 0.09), with seizure frequency correlating with Nijmegen score (Spearman's rank correlation = 0.75, p = 0.034). The intervention was well tolerated, with no adverse events reported. These preliminary results support a potentially new approach to treating functional seizures that should prove cost-effective and acceptable, though require confirmation by a randomised controlled trial.

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.

Characteristics and outcomes of youth with functional seizures attending intensive interdisciplinary pain treatment

Functional seizures (FS) can be debilitating and negatively impact quality of life. Yet intervention research for FS is limited, especially for youth. This study examined clinical characteristics and outcomes of youth with FS (13-23 years) presenting to a pediatric intensive interdisciplinary pain treatment (IIPT) program in the midwestern United States. Sixty youth (mean age = 16.5 years; 83.3 % female) met inclusion criteria. At intake, comorbid chronic pain, somatic symptoms, autonomic dysfunction, eating and weight disturbances, and mental health concerns were common. Despite this high symptom burden, youth with FS reported significant improvements in functioning measured with the Functional Disability Inventory, t(53) = 9.80, p <.001, d = 1.32; depression measured with the Center for Epidemiological Studies - Depression Scale for Children, t(53) = 6.76, p <.001, d = 0.91; anxiety measured with the Spence Children's Anxiety Scale, t(53) = 3.97, p < .001, d = 0.53; and catastrophizing measured with the Pain Catastrophizing Scale for Children, t(53) = 6.44, p <.001, d = 0.86, following completion of the program, suggesting that IIPT may be an effective treatment option for highly disabled and emotionally distressed youth with FS. Future research is needed to continue to refine best practices for youth with FS to reduce suffering and improve outcomes.

Diagnostic utility of prolonged ambulatory video-electroencephalography monitoring

OBJECTIVES

Ambulatory video-electroencephalography (video-EEG) represents a low-cost, convenient and accessible alternative to inpatient video-EEG monitoring, however few studies have examined their diagnostic yield. In this large-scale retrospective study conducted in Australia, we evaluated the efficacy of prolonged ambulatory video-EEG recordings in capturing diagnostic events and resolving the referring question.

METHODS

Sequential adult and paediatric ambulatory video-EEG reports from April 2020 to June 2021 were reviewed retrospectively. Data collection included patient demographics, clinical information, and details of events and EEG abnormalities. Clinical utility was assessed by examining i) time to first diagnostic event, and ii) ability to resolve the referring questions - seizure localisation, quantification, classification, and differentiation (differentiating seizures from non-epileptic events).

RESULTS

Of the 600 reports analysed, 49 % captured at least one event, and 45 % captured interictal abnormalities (epileptiform or non-epileptiform). Seizures, probable psychogenic events (mostly non-convulsive), and other non-epileptic events occurred in 13 %, 23 % and 21 % of recordings respectively, with overlap. Unreported events were captured in 53 (9 %) recordings, and unreported seizures represented more than half of all seizures captured (51 %, 392/773). Nine percent of events were missing clinical, video or electrographic data. A diagnostic event occurred in 244 (41 %) recordings, of which 14 % were captured between the fifth and eighth day of recording. Reported event frequency ≥ 1/week was the only significant predictor of diagnostic event capture. In recordings with both seizures and psychogenic events, unrecognized seizures were frequent, and seizures may be missed if recording is terminated early. The referring question was resolved in 85 % of reports with at least one event, and 53 % of all reports. Specifically, this represented 46 % of reports (235/512) for differentiation of events, and 75 % of reports (27/36) for classification of seizures.

CONCLUSION

Ambulatory video-EEG recordings are of high diagnostic value in capturing clinically relevant events and resolving the referring clinical questions.

Which psychogenic nonepileptic seizure (PNES) patients are more likely to be treated with anti-seizure medications?

BACKGROUND

The average time for psychogenic nonepileptic seizures (PNES) diagnosis is about 7.5 years. Many patients receive inadequate treatment and sometimes even life-threatening treatments such as tracheal intubation during this time.

PURPOSE

To determine the risk factors for misdiagnosis of PNES as Epilepsy.

METHODS

The medical records of patients who underwent video-electroencephalogram (EEG) monitoring were reviewed retrospectively. Patients who had PNES without epileptic seizures (ES) were included in this study. Baseline personal and monitoring characteristics were collected. The patients were then divided into two groups based on their therapeutic status. Patients in the treatment group were again divided into two groups based on the number of anti-seizure medications (ASM) they were treated with.

RESULTS

Fifty-seven patients diagnosed with PNES were included in this study. Thirty-seven patients were under treatment, and 20 patients were not under treatment at the time of monitoring. Motor seizures, abnormal interictal EEG patterns, and pathological brain imaging findings were more frequent among patients in the treatment group (p<0.05). Patients with motor seizures were more likely to be treated with multiple ASM than patients with only dialeptic nonmotor seizures (p<0.05). Lastly, patients in the treatment group were monitored longer and had fewer seizures during monitoring (p<0.05).

CONCLUSION

PNES patients with abnormal EEG patterns and pathological brain imaging findings are more likely to be treated with ASM. The pure dialeptic nature of seizures is less likely to be misdiagnosed as ES. In addition, patients with such seizures are less likely to be treated with multiple treatment lines.

Elevated Mortality Rate in Patients With Functional Seizures After Diagnosis and Referral

Background and Objectives

To evaluate the standardized mortality ratio (SMR) of patients in the United States referred to a multidisciplinary clinic for treatment of functional seizures.

Methods

We identified patients who had or had not died based on automated retrospective review of electronic health records from a registry of patients referred to a single-center multidisciplinary functional seizures treatment clinic. We calculated an SMR by comparing the number of observed deaths with the expected number of deaths in an age-matched, sex-matched, and race-matched population within the same state, and year records were available.

Results

A total of 700 patients with functional seizures (mean age 37 years, 78% female) were followed up for 1,329 patient-years for a median of 15 months per patient (interquartile range 6-37 months). We observed 11 deaths, corresponding to a mortality rate of 8.2 per 1,000 patient-years and an SMR of 2.4 (95% confidence interval: 1.17-4.22). Five of 9 patients with identified circumstances around their death were in hospice care when they passed. None of the identified causes of death were related to seizures directly.

Discussion

These data provide further evidence of elevated mortality in functional seizures soon after diagnosis and referral to treatment. These data from the decentralized health care system of the United States build on the findings from other countries with large-scale health registries.

Automated analysis and detection of epileptic seizures in video recordings using artificial intelligence

Introduction

Automated seizure detection promises to aid in the prevention of SUDEP and improve the quality of care by assisting in epilepsy diagnosis and treatment adjustment.

Methods

In this phase 2 exploratory study, the performance of a contactless, marker-free, video-based motor seizure detection system is assessed, considering video recordings of patients (age 0-80 years), in terms of sensitivity, specificity, and Receiver Operating Characteristic (ROC) curves, with respect to video-electroencephalographic monitoring (VEM) as the medical gold standard. Detection performances of five categories of motor epileptic seizures (tonic-clonic, hyperkinetic, tonic, unclassified motor, automatisms) and psychogenic non-epileptic seizures (PNES) with a motor behavioral component lasting for >10 s were assessed independently at different detection thresholds (rather than as a categorical classification problem). A total of 230 patients were recruited in the study, of which 334 in-scope (>10 s) motor seizures (out of 1,114 total seizures) were identified by VEM reported from 81 patients. We analyzed both daytime and nocturnal recordings. The control threshold was evaluated at a range of values to compare the sensitivity (n = 81 subjects with seizures) and false detection rate (FDR) (n = all 230 subjects).

Results

At optimal thresholds, the performance of seizure groups in terms of sensitivity (CI) and FDR/h (CI): tonic-clonic- 95.2% (82.4, 100%); 0.09 (0.077, 0.103), hyperkinetic- 92.9% (68.5, 98.7%); 0.64 (0.59, 0.69), tonic- 78.3% (64.4, 87.7%); 5.87 (5.51, 6.23), automatism- 86.7% (73.5, 97.7%); 3.34 (3.12, 3.58), unclassified motor seizures- 78% (65.4, 90.4%); 4.81 (4.50, 5.14), and PNES- 97.7% (97.7, 100%); 1.73 (1.61, 1.86). A generic threshold recommended for all motor seizures under study asserted 88% sensitivity and 6.48 FDR/h.

Discussion

These results indicate an achievable performance for major motor seizure detection that is clinically applicable for use as a seizure screening solution in diagnostic workflows.