EEG microstates show different features in focal epilepsy and psychogenic nonepileptic seizures.

OBJECTIVE: Electroencephalography (EEG) microstate analysis seeks to cluster the scalp's electric field into semistable topographical EEG activity maps at different time points. Our study aimed to investigate the features of EEG microstates in subjects with focal epilepsy and psychogenic nonepileptic seizures (PNES). METHODS: We included 62 adult subjects with focal epilepsy or PNES who received video-EEG monitoring at the epilepsy monitoring unit. The subjects (mean age = 42.8 ± 21.2 years) were distributed equally between epilepsy and PNES groups. We extracted microstates from a 4.4 ± 1.0-min, 21-channel resting-state EEG. We excluded subjects with interictal epileptiform discharges during resting-state EEGs. After preprocessing, we derived five main EEG microstates-MS1 to MS5-for the full frequency band (1-30 Hz) and frequency subbands (delta, 1-4 Hz; theta, 4-8 Hz; alpha, 8-12 Hz; beta, 12-30 Hz), using the MATLAB-based EEGLAB toolkit. Statistical features of microstates (duration, occurrence, contribution, global field power [GFP]) were compared between the groups, using logistic regression corrected for age and sex. RESULTS: We detected no differences in microstate parameters in the full frequency band. We found a longer duration (delta: B = -7.680, p = .046; theta: B = -16.200, p = .043) and a higher contribution (delta: B = -7.414, p = .035; theta: B = -7.509, p = .031) of MS4 in lower frequency bands in the epilepsy group. The PNES group showed a higher occurrence of MS5 in the delta subband (B = 3.283, p = .032). In the theta subband, a higher GFP of MS1 was associated with the PNES group (B = 5.674, p = .025), whereas a higher GFP of MS2 was associated with the epilepsy group (B = -6.579, p = .026). SIGNIFICANCE: Microstate features show differences between patients with focal epilepsy and PNES. EEG microstates could be a promising parameter, helping to understand changes in brain dynamics in subjects with epilepsy, and should be explored as a potential biomarker.

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

INTRODUCTION: Video-electroencephalogram (EEG) with suggestion is widely considered the gold standard for diagnosing psychogenic nonepileptic seizures (PNES). However, ethical concerns and uncertainties persist regarding the most minimally invasive and least deceptive suggestion approach. MATERIALS AND METHODS: In an open-label randomized controlled trial, we evaluated the effectiveness of three suggestion methods (verbal suggestion, verbal suggestion with a tuning fork, and verbal suggestion with a cotton swab) during short-term video-EEG (STVEEG) recordings to induce PNES in children aged 5-18 years. If the paroxysmal event couldn't be elicited with the assigned method, alternative techniques were employed. RESULTS: Out of 97 initially screened children, 75 were enrolled, with 25 in each group. The efficacy of all three suggestion methods was comparable in reproducing paroxysmal events (success rate of 16/25, 17/25 and 17/25 in verbal suggestion only, verbal suggestion with tuning fork and sterile cotton swab group respectively, p = 0.83) and the time required for induction (median of 2, 3 and 3 min respectively, p = 0.21). After trying alternative methods, 20 %, 12 %, and 12 % more patients in these three groups, respectively, were able to reproduce the paroxysmal event, with the differences not reaching statistical significance (p = 0.74). The assigned induction method or the success/failure of event reproduction did not significantly impact clinical outcomes at 12 weeks, and none of the patients in whom PNES could not be reproduced during STVEEG were later found to have an organic cause. Only the presence of psychiatric comorbidity independently predicted successful event reproduction during STVEEG, with statistical significance even after adjusting for other variables (p = 0.03). CONCLUSION: The efficacy of verbal suggestion alone in inducing paroxysmal nonepileptic seizures is on par with using a tuning fork or cotton swab in conjunction with verbal suggestion during STVEEG.

Cognitive behavioral therapy in adults with functional seizures: A systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Randomized controlled clinical trials (RCTs) investigating cognitive-behavioral therapy (CBT) among adults with functional seizures (FS) have become increasingly available, prompting the opportunity to critically appraise the efficacy and safety of CBT in this population. METHODS: We conducted a systematic review and meta-analysis including RCTs comparing CBT in addition to standardized medical treatment (SMT) versus SMT alone for adults with FS. The primary outcome was seizure freedom at the end of treatment. Secondary outcomes included measures of quality of life, anxiety and depression assessed via standardized clinical questionnaires. RESULTS: Three RCTs were included comprising 228 participants treated with CBT and 222 with SMT. The intervention was significantly associated with seizure freedom (Odds Ratio [OR] 1.98; 95 % confidence interval [CI] 1.14, 3.46; p = 0.02; I2 = 0 %), reductions in anxiety (standardized mean difference [SMD] -0.21; 95 % CI -0.41, -0.003; p = 0.047; I2 = 0 %) and improvements in quality of life (SMD 0.34; 95 % CI 0.12, 0.57; p = 0.003; I2 = 0 %) at the end of treatment. Conversely, no significant differences between groups were observed in depression symptoms (SMD -0.19; 95 % CI -0.39, 0.02; p = 0.08; I2 = 0 %). There was no statistically significant increase in the risk of suicidal ideation and self-harm with CBT (OR 2.11; 95 % CI 0.81, 5.48; p = 0.13; I2 = 0 %) nor were there differences in terms of discontinuation rates during follow-up (OR 0.92; 95 % CI 0.49, 1.72; p = 0.79; I2 = 7 %). CONCLUSIONS: There is high-quality evidence supporting the efficacy and safety of CBT in treating FS. Future research should investigate whether combining CBT with other therapeutic methods could potentially enhance treatment efficacy.

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.

Influence of comorbidity on mortality in patients with epilepsy and psychogenic nonepileptic seizures.

OBJECTIVE: This study aims to determine the contribution of comorbidities to excess psychogenic nonepileptic seizures (PNES) mortality. METHODS: A retrospective cohort study was conducted of tertiary epilepsy outpatients from St. Vincent's Hospital Melbourne, Australia with an 8:1 comparison cohort, matched by age, sex, and socioeconomic status (SES) to national administrative databases between 2007 and 2017. Privacy-preserving data linkage was undertaken with the national prescription, National Death Index, and National Coronial Information System. Forty-five comorbid disease classes were derived by applying the Australian validated RxRisk-V to all dispensed prescriptions. We fitted Cox proportional hazard models controlling for age, sex, SES, comorbidity, disease duration, and number of concomitant antiseizure medications, as a marker of disease severity. We also performed a parallel forward-selection change in estimate strategy to explore which specific comorbidities contributed to the largest changes in the hazard ratio. RESULTS: A total of 13 488 participants were followed for a median 3.2 years (interquartile range = 2.4-4.0 years), including 1628 tertiary epilepsy outpatients, 1384 patients with epilepsy, 176 with PNES, and 59 with both. Eighty-two percent of epileptic seizures and 92% of typical PNES events were captured in an epilepsy monitoring unit. The age-/sex-/SES-adjusted hazard ratio was elevated for epilepsy (4.74, 95% confidence interval [CI] = 3.36-6.68) and PNES (3.46, 95% CI = 1.38-8.68) and remained elevated for epilepsy (3.21, 95% CI = 2.22-4.63) but not PNES (2.15, 95% CI = .77-6.04) after comorbidity adjustment. PNES had more pre-existing comorbidities (p = .0007), with a three times greater median weighted Rx-RiskV score. Psychotic illness, opioid analgesia, malignancies, and nonopioid analgesia had the greatest influence on PNES comorbid risk. SIGNIFICANCE: Higher comorbidity appears to explain the excess PNES mortality and may represent either a wider underrecognized somatoform disorder or a psychological response to physical illness. Better understanding and management of the bidirectional relationship of these wider somatic treatments in PNES could potentially reduce the risk of death.

The clinical characteristics of childhood-onset and late-onset functional seizures: How do they differ?

BACKGROUND: We investigated childhood-onset functional seizures (FS) and late-onset FS and hypothesized that there are differences in their characteristics. METHODS: In this retrospective study, we investigated all patients with confirmed FS with an age at onset of 14 years or younger and those with an age at onset of 50 years or older, who were admitted to the epilepsy monitoring units at one center in Iran (Shiraz Comprehensive Epilepsy Center, from 2008 until 2022) and one center in the USA (Vanderbilt University Medical Center, from 2011 until 2022). RESULTS: One-hundred and forty patients were included. They included 80 patients with childhood-onset FS and 60 with late-onset FS. Those with late-onset FS were more likely to have medical comorbidities compared with the patients with childhood-onset FS (OR = 13.9). Those with late-onset FS more likely had a history of head injury compared with the patients with childhood-onset FS (OR = 5.97). Duration of illness was significantly longer in patients with childhood-onset FS compared with the patients with late-onset FS (6 years vs. 2 years). CONCLUSION: Our study identified several similarities and differences in the clinical characteristics and predisposing factors of patients with childhood-onset and late-onset FS. In addition, we found that childhood-onset FS is more likely to remain undiagnosed and thus untreated for many years. These findings provide additional evidence that FS is a heterogenous condition and we propose that a proportion of the differences between patients may be accounted for by age-associated factors.

Optimism and pessimism as predictors of seizure group among patients with intractable seizure disorders.

The purpose of this study was to investigate the validity of the Revised Optimism-Pessimism Scale (PSM-R) as a measure of attributional style, and the incremental utility of optimism and pessimism as predictors of seizure group, in an intractable seizure disorder sample. Participants included adult patients with epileptic seizures (ES; n = 151) and psychogenic nonepileptic seizures (PNES; n = 173) whose diagnoses were confirmed by prolonged video/EEG monitoring (PVEM). Optimism and pessimism scores were computed from abbreviated versions of the MMPI for all participants. Analyses were conducted to examine the relationships between optimism, pessimism, and MMPI clinical scale scores. Logistic regression analyses were conducted to generate a model for the prediction of seizure group. Results supported the validity of the PSM-R as a measure of attributional style in an intractable seizure disorder sample. Both optimism and pessimism provided significant incremental predictive utility over and above other predictors of seizure group. There are advantages of using the proposed prediction model over other alternative differential diagnostic procedures, including lower cost, greater availability, and increased standardization. Overall, results indicated that attributional style is a clinically relevant index of personality and cognitive response to stress among an intractable seizure disorder sample.

Subjective seizure symptom reporting in functional/dissociative seizures and epilepsy: Effects of sampling technique and patient characteristics.

BACKGROUND: Differences in subjectively reportable ictal experiences between epilepsy and functional/dissociative seizures (FDS) have received less attention than visible manifestations. Patients with FDS (pwFDS) tend to report seizure symptoms differently than patients with epilepsy (pwE). The effects of symptom elicitation method and mediation by psychopathological traits have not been examined and may aid in differentiating the disorders. METHOD: Analysis of responses of 24 pwE and 28 pwFDS in interviews exploring ictal experiences through open questioning followed by structured closed questioning using possible symptom prompts (74-item modified Psychosensory-Psychomotor Phenomena Interview, PPPI); self-report of psychological profile (HADS-A, HADS-D, PHQ-15, DES-T, THQ, PCL-C). RESULTS: Symptom prompting with PPPI elicited three times more seizure symptoms than open questions in pwE (median 34 vs. 11.5, p = 0.005) and over four times more in pwFDS (42.5 vs. 11, p = 0.001). Intra-ictal symptoms were reported freely more frequently by pwE (median 6.5 vs. 4, p = 0.005), while pwFDS reported more pre-ictal symptoms after prompts (median 6 vs 14.5, p = 0.004). The difference between freely reported and PPPI-elicited symptoms correlated with different psychopathological traits in pwE and pwFDS. Symptoms of anxiety (HADS-A) correlated more strongly with prompted symptoms among pwE than pwFDS (z = 2.731, p = 0.006). CONCLUSION: Prompting generates more detailed ictal symptom profiles than simply encouraging patients to narrate their subjective seizure experiences. While pwFDS freely reported fewer symptoms related to the intra-ictal period compared to pwE, pwFDS reported more pre-ictal symptoms than pwE when prompted. Differences in the psychopathological traits associated with the number of peri-ictal symptoms captured by symptom prompting in pwE and pwFDS possibly reflect etiological or psychological differences between these patient groups.

Psychogenic non-epileptic seizures and functional motor disorders in developmental age: A comparison of clinical and psychopathological features.

BACKGROUND: Psychogenic Non-Epileptic Seizures (PNES) and Functional Motor Disorders (FMDs) commonly represent the main clinical manifestations of Functional Neurological Disorders (FNDs). Despite their high prevalence in pediatric neurological services, literature on this topic is still spare for this population. The present study aimed to deepen the clinical knowledge of a pediatric FNDs sample through a demographic and clinical characterization of the most recurrent clinical patterns during the pediatric age. Moreover, a comparison of neuropsychological and psychopathological profiles of PNES and FMD patients was carried out to identify specific vulnerabilities and therapeutic targets linked with these different clinical manifestations. MATERIALS AND METHODS: A total of 43 FNDs patients (age range 7-17 years old) were retrospectively included in our study, enrolled in two subgroups: 20 with FMDs and 23 with PNES diagnosis. They were inpatients and outpatients referred over a period of 5 years and a standardized neurological, neuropsychological (WISC-IV/WAIS-IV), and psychiatric (CDI-2, MASC-2, ADES, DIS-Q, PID-5) evaluation was assessed. RESULTS: In PNES patients the most common clinical phenotypes were functional tonic-clonic (52%) and atonic (32%) manifestations while in the FMDs group were gait alterations (60%), functional myoclonus (35%), and tremor (35%). A higher frequency of cognitive impairment was reported in PNES patients with higher anxiety-depressive symptom rates than FMDs patients. CONCLUSIONS: Notably, specific neurocognitive and psychopathological profiles were described in PNES and FMDs, highlighting higher cognitive and psychiatric vulnerabilities in PNES, suggesting as well different strategy for therapeutic approaches.

Psychiatric and psychological assessment of Spanish patients with drug-resistant epilepsy and psychogenic nonepileptic seizures (PNES) with no response to previous treatments.

OBJECTIVE: Psychogenic nonepileptic seizures (PNES) are common imitators of epileptic seizures. Refractoriness to antiseizure medication hinders the differential diagnosis between ES and PNES, carrying deleterious consequences in patients with PNES. Psychiatric and psychological characteristics may assist in the differential diagnosis between drug-resistant epilepsy (DRE) and PNES. Nevertheless, current comprehensive psychiatric and psychological descriptive studies on both patient groups are scarce and with several study limitations. This study provides a comprehensive psychiatric and psychological characterization of Spanish patients with DRE and PNES. METHOD: A cross-sectional and comparative study was completed with 104 patients with DRE and 21 with PNES. Psychiatric and psychological characteristics were assessed with the HADS, SCL-90-R, NEO-FFI-R, PDQ-4+, COPE, and QOLIE-31 tests. Parametric and non-parametric tests were used, and regression models were fit to further explore factors affecting patients' life quality. RESULTS: Patients with PNES had greater levels of somatization and extraversion and were associated with benzodiazepine intake. Patients with DRE showed greater narcissistic personality disorder symptoms than those with PNES. In patients with DRE, difficulty in performing basic needs-related tasks and greater psychological distress severity and seizure frequency were associated with poorer life quality. In contrast, being a woman, having a psychiatric disorder history, and greater psychiatric symptoms' intensity were associated with poorer life quality in patients with PNES. CONCLUSION: Patients with DRE and PNES share similar psychiatric and psychological characteristics, with only very few being significantly different.

Pediatric psychogenic non-epileptic seizures: A retrospective observational cohort study at a quaternary center.

BACKGROUND: Psychogenic non-epileptic seizures (PNES) represent a common functional disorder in the pediatric population. We aimed to characterize pediatric PNES by describing their clinical characteristics, PNES semiologies, and healthcare pathway towards and after diagnosis. MATERIAL AND METHODS: This was a retrospective, observational chart review of pediatric patients aged 6 to 18 years admitted between December 2020 and December 2021 for spell classification or suspected PNES. Psychogenic non-epileptic seizure diagnosis was made by the capture of a typical event on video electroencephalogram (vEEG). We used descriptive statistics to summarize demographic and clinical characteristics. RESULTS: We included 26 patients (18 females, 69.2%) with a mean age (SD) of 13.9 (2.5) years. Pre-morbid neurologic and psychiatric conditions included: epilepsy (23.1%), migraine (46.2%), mild traumatic brain injury (26.9%), anxiety (57.7%), ADHD (34.6%), and depression (30.8%). Six patients (23.1%) had a prior diagnosis of PNES. 14 patients (53.8%) presented with convulsive, and 6 (23.1%) each with non-convulsive and mixed PNES. Patients were seen by a range of providers prior to diagnosis including ED providers (50%), neurologists (53.8%), pediatricians (34.6%), and psychology/psychiatry (11.5%). Emergency department evaluation occurred for 13 patients (50%) on 15 occasions, and six (23.1%) were admitted to the hospital. The median (p25-p75) time from PNES onset to presentation and diagnosis at our institution was 3.5 (1.5-6.2) and 4.1 (3-7) months, respectively. A total of 33 events from the 26 patients were captured on vEEG. The most frequent semiologies in our cohort were rhythmic motor (27.3%) followed by equal frequency (18.2%) of complex motor and dialeptic. Eighteen patients (69.2%) were followed after the PNES diagnosis, for a median (p25-p75) of 17.3 months (6.3-21) with variable outcome. CONCLUSION: Pediatric PNES has female predominance and often presents with comorbid psychosocial stressors and psychiatric conditions. High clinical suspicion and early recognition are crucial to decrease healthcare utilization and establish timely diagnosis and treatment.

Principles for delivering improved care of people with functional seizures: Closing the treatment gap.

Patients diagnosed with functional (psychogenic nonepileptic) seizures have similar or greater levels of disability, morbidity and mortality than people with epilepsy, but there are far fewer treatment services. In contrast to epilepsy, the current understanding of pathophysiological mechanisms and the development of evidence-based treatments for functional seizures is rudimentary. This leads to high direct healthcare costs and high indirect costs to the patient, family and wider society. There are many patient, clinician and system-level barriers to improving outcomes for functional seizures. At a patient level, these include the heterogeneity of symptoms, diagnostic uncertainty, family factors and difficulty in perceiving psychological aspects of illness and potential benefits of treatment. Clinician-level barriers include sub-specialism, poor knowledge, skills and attitudes and stigma. System-level barriers include the siloed nature of healthcare, the high prevalence of functional seizures and funding models relying on individual medical practitioners. Through the examination of international examples and expert recommendations, several themes emerge that may address some of these barriers. These include (1) stepped care with low-level, brief generalised interventions, proceeding to higher level, extended and individualised treatments; (2) active triage of complexity, acuity and treatment readiness; (3) integrated interdisciplinary teams that individualise formulation, triage, and treatment planning and (4) shared care with primary, emergency and community providers and secondary consultation. Consideration of the application of these principles to the Australian and New Zealand context is proposed as a significant opportunity to meet an urgent need.

The value of ethical principles to reflect on emerging issues in epilepsy care and research.

In the age of patient participation, ethics are more important than ever to help guide clinicians in situations of uncertainty. Principles of Biomedical Ethics by James F. Childress and Thomas L. Beauchamp remains the most important reference in medical ethics. In their work, they conceptualize four principles designed to help guide clinicians in decision making, notably beneficence, non-maleficence, autonomy, and justice. While using ethical principles dates back to at least Hippocrates, the introduction by Beauchamp and Childress of the principles of autonomy and justice have helped to deal with new challenges. This contribution will discuss how the principles can help elucidate issues of patient participation in epilepsy care and research using two case studies. METHODS: In this paper, we will discuss the equilibrium to be found between two principles (beneficence and autonomy) in the context of emerging debates in epilepsy care and research. The methods section details the specificities of each principle and their relevance to epilepsy care and research. RESULTS AND DISCUSSION: Using two case studies, we will explore the potential and limits of patient participation and how the ethical principles may help to provide nuance and reflection in this emerging debate. First of all, we will explore a clinical case which involves a conflictual situation with the patient and family about psychogenic nonepileptic seizures. We will then discuss an emerging issue in epilepsy research, namely the integration of persons with severe refractory epilepsy as patient research partners.

Functional seizures: Cluster analysis may predict the associated risk factors.

OBJECTIVES: We applied the Two-Step cluster analysis on a large cohort of patients with functional seizures (FS). We studied whether the background risk factors differed between the patient clusters. METHODS: All patients with a diagnosis of FS were studied at the outpatient epilepsy clinic at Shiraz University of Medical Sciences, Shiraz, Iran, from 2008 until 2021. The Two-Step cluster analysis was applied considering the age at onset, sex, and seizure semiology. We also studied whether the background risk factors (e.g., a history of sexual abuse, physical abuse, etc.) differed between these patient clusters. RESULTS: Three-hundred and fifty four patients were studied. The Two-Step cluster analysis was applied to the 230 patients who reported any associated risk factors; there were three clusters of patients. The most prominent feature of cluster 1 included akinetic seizures. The most prominent features of cluster 2 included motor seizures and no ictal injury. The most prominent features of cluster 3 included motor seizures with ictal injury. Compared with patients in cluster 3, a history of sexual abuse was more often reported by patients in cluster 1 (OR: 3.26, 95%CI: 1.12-9.47; p = 0.03). Compared with patients in cluster 3, a history of physical abuse was less often reported by patients in cluster 2 (OR: 0.45, 95%CI: 0.22-0.90; p = 0.026). CONCLUSION: The Two-Step cluster analysis could identify three distinct clusters of patients based on their demographic and clinical characteristics. These clusters had correlations with the associated risk factors in patients with FS.

An international study of the effects of the COVID-19 pandemic on characteristics of functional seizures.

OBJECTIVE: We investigated whether the COVID-19 pandemic has affected the clinical characteristics of patients with functional seizure (FS) (at the time of diagnosis) in a large multicenter international study. METHODS: This was a retrospective study. We investigated all patients with FS, who were admitted at the epilepsy monitoring units at six centers in the world: 1. Shiraz, Iran; 2. Salzburg, Austria; 3. Nancy, France; 4. Atlanta, USA; 5. Kuwait City, Kuwait; and 6. Cairo, Egypt. Patients were studied during two time periods: admitted in 2018-2019 (pre-COVID era) and 2020-2021 (COVID era). RESULTS: Three hundred and twenty-six patients were studied. Two hundred and twenty-four (68.7%) patients were diagnosed before and 102 (31.3%) persons during the COVID-19 pandemic. Only, a history of family dysfunction was significantly associated with the COVID-19 pandemic era (Odds Ratio: 1.925, 95% Confidence Interval: 1.099-3.371; p = 0.022). A low level of education might also be associated with FS during the COVID-19 pandemic, at least in some cultures (e.g., the Middle-East). CONCLUSION: The COVID-19 pandemic has not affected the clinical characteristics of patients with FS (at the time of diagnosis). However, a history of family dysfunction was significantly more frequently associated with FS during the COVID-19 pandemic. Multiagency integration of law enforcement responses, social services, and social awareness is recommended to address family dysfunction and domestic violence and support the victims during this pandemic.

Hypermobility in patients with functional seizures: Toward a pathobiological understanding of complex conditions.

BACKGROUND: Functional seizures (FS), otherwise known as psychogenic nonepileptic seizures (PNES), are a common symptom presenting to neurology and epilepsy clinics. There is a pressing need for further research to understand the neurobiology of FS to develop mechanistically targeted treatments. Joint hypermobility is an expression of variation in connective tissue structure along a spectrum, and it has received increasing attention in functional neurological disorders, but there is lack of evidence of its relevance in FS. METHODS: In the present study, forty-two patients with FS and a non-clinical comparison group of 34 age/sex-matched controls were recruited. Joint hypermobility of all participants was quantified using the Beighton scale. RESULTS: In our sample, 24 (57%) patients with FS, and 7 (21%) of the comparison group met criteria for joint hypermobility (p = 0.002). Our statistical model revealed that patients with FS showed a significant degree of hypermobility compared to the comparison group (odds ratio = 11.1; Confidence interval: 2.1-78.0, p = 0.008), even after controlling age, sex, anxiety, and depression. CONCLUSION: We found a significant association between FS and joint hypermobility, which was independent of anxiety and depression.

Exploring the influence of telehealth on patient engagement with a multidisciplinary Non-Epileptic Seizure (NES) Clinic during the COVID-19 pandemic.

The ILAE task force has identified a gap in treatment access for patients with nonepileptic seizures (NES) [1]. Access to multidisciplinary treatment clinics for adults with NES is limited with only 18 institutions delivering care across the United States [2]. Patient engagement has been low in the University of Colorado, NES Clinic treatment program despite our clinic's status as the only clinic of its kind in the mountain west. We analyzed patient factors of those who engaged in treatment before and after COVID-19 regulations were imposed and found a 23.6% increase in treatment engagement using telehealth. Those who engaged using telehealth were more likely to be of white race, of non-Hispanic ethnicity, publicly insured, employed, have a Charlson Comorbidity Index (CCI) of zero, a daily seizure rate of 0-1, did not have suicidal ideation or attempts, and live greater than 25 miles from the NES clinic. Delivering NES treatment via telehealth reduced the logistical and psychological barriers to initiating recovery and with a severe lack of accessible treatments for patients with NES, barrier reduction is necessary. This study describes patient factors that result in higher engagement with NES treatment using telehealth and emphasizes the importance of telehealth utilization to improve access to available treatment.

30-Day readmission rates in pediatric patients with functional seizures.

PURPOSE: To ascertain the rates of 30-day readmissions and emergency department presentations among pediatric patients with an index admission for functional seizures. METHOD: A retrospective chart review of pediatric patients with an index discharge from the pediatric epilepsy monitoring unit (EMU) or general neurology service for functional seizures. Data collected included demographics, comorbidities, risk factors, and treatment during the index admission. RESULTS: A total of one hundred and two patients were included, of which nearly one in five had a 30-day readmission or emergency department presentation. Index admission to the general neurology service was independently associated with more re-presentations to the hospital (t = 3.26, p < 0.0015). The univariate analysis indicated that cognitive impairment and autism were associated with a lower likelihood of readmission, while a neurology referral and being started on an anti-seizure medication were associated with a greater likelihood of readmission. CONCLUSION: A substantial proportion of pediatric patients with FS return to the hospital within 30 days of discharge. Our data suggest that patients admitted to the EMU service have a lower likelihood of readmission. We speculate that this may be due to differences in patient clinical characteristics as well as the comprehensiveness of the diagnostic evaluation and management in the EMU compared to the general neurology service.

Functional seizures are associated with cerebrovascular disease and functional stroke is more common in patients with functional seizures than epileptic seizures.

PURPOSE: To characterize the relationship between functional seizures (FSe), cerebrovascular disease (CVD), and functional stroke. METHOD: A retrospective case-control study of 189 patients at a single large tertiary medical center. We performed a manual chart review of medical records of patients with FSe or epileptic seizures (ES), who also had ICD code evidence of CVD. The clinical characteristics of FSe, ES, CVD, and functional stroke were recorded. Logistic regression and Welch's t-tests were used to evaluate the differences between the FSe and ES groups. RESULTS: Cerebrovascular disease was confirmed in 58.7% and 87.6% of patients with FSe or ES through manual chart review. Stroke was significantly more common in patients with ES (76.29%) than FSe (43.48%) (p = 4.07 × 10-6). However, compared to nonepileptic controls FSe was associated with both CVD (p < 0.0019) and stroke (p < 6.62 × 10-10). Functional stroke was significantly more common in patients with FSe (39.13%) than patients with ES (4.12%) (p = 4.47 × 10-9). Compared to patients with ES, patients with FSe were younger (p = 0.00022), more likely to be female (p = 0.00040), and more likely to have comorbid mental health needs including anxiety (p = 1.06 × 10-6), PTSD or history of trauma (e.g., sexual abuse) (p = 1.06 × 10-13), and bipolar disorder (p = 0.0011). CONCLUSION: Our results confirm the initial observation of increased CVD in patients with FSe and further suggest that patients with FSe may be predisposed to developing another functional neurological disorder (FND) (i.e., functional stroke). We speculate that this may be due to shared risk factors and pathophysiological processes that are common to various manifestations of FND.

Diagnostic delay in functional seizures is associated with abnormal processing of facial emotions.

PURPOSE: In patients with functional seizures (FS), delay in diagnosis (DD) may negatively affect outcomes. Altered brain responses to emotional stimuli have been shown in adults with FS. We hypothesized that DD would be associated with differential fMRI activation in emotion processing circuits. METHODS: Fifty-two adults (38 females) with video-EEG confirmed FS prospectively completed assessments related to symptoms of depression (BDI-II), anxiety (BAI), post-traumatic stress disorder (PCL-S), a measure of how their symptoms affect day-to-day life (GAF), and fMRI at 3T with emotional faces task (EFT). During fMRI, subjects indicated "male" or "female" via button press while implicitly processing happy, sad, fearful, and neutral faces. Functional magnetic resonance imaging (FMRI) response to each emotion was modeled and group analyses were performed in AFNI within pre-specified regions-of-interest involved in emotion processing. A median split (507 days) defined short- (s-DD) and long-delay diagnosis (l-DD) groups. Voxelwise regression analyses were also performed to examine linear relationship between DD and emotion processing. FMRI signal was extracted from clusters showing group differences and Spearman's correlations assessed relationships with symptom scores. RESULTS: Groups did not differ in FS age of onset, sex distribution, years of education, TBI characteristics, EFT in-scanner or post-test performance, or scores on the GAF, BDI-II, BAI, and PCL-S measures. The s-DD group was younger than l-DD (mean age 32.6 vs. 40.1; p = 0.022) at the time of study participation. After correcting for age, compared to s-DD, the l-DD group showed greater fMRI activation to sad faces in the bilateral posterior cingulate cortex (PCC) and to neutral faces in the right anterior insula. Within-group linear regression revealed that with increasing DD, there was increased fMRI activation to sad faces in the PCC and to happy faces in the right anterior insula/inferior frontal gyrus (AI/IFG). There were positive correlations between PCC response to sad faces and BDI-II scores in the l-DD group (rho = 0.48, p = 0.012) and the combined sample (rho = 0.30, p = 0.029). Increased PCC activation to sad faces in those in the l-DD group was associated with worse symptoms of depression (i.e. higher BDI-II score). CONCLUSIONS: Delay in FS diagnosis is associated with fMRI changes in PCC and AI/IFG. As part of the default mode network, PCC is implicated in mood control, self-referencing, and other emotion-relevant processes. In our study, PCC changes are linked to depression. Future studies should assess the effects of interventions on these abnormalities.