Psychogenic Seizures Research Articles

Correlative analysis of dissociative disorder among Kashmiri population

Correlative analysis of dissociative disorder among Kashmiri population

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

IntroductionVideo-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 methodsIn 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. ResultsOut 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). ConclusionThe 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.

Differentiating Epileptic and Psychogenic Non-Epileptic Seizures Using Machine Learning Analysis of EEG Plot Images.

The treatment of epilepsy, the second most common chronic neurological disorder, is often complicated by the failure of patients to respond to medication. Treatment failure with anti-seizure medications is often due to the presence of non-epileptic seizures. Distinguishing non-epileptic from epileptic seizures requires an expensive and time-consuming analysis of electroencephalograms (EEGs) recorded in an epilepsy monitoring unit. Machine learning algorithms have been used to detect seizures from EEG, typically using EEG waveform analysis. We employed an alternative approach, using a convolutional neural network (CNN) with transfer learning using MobileNetV2 to emulate the real-world visual analysis of EEG images by epileptologists. A total of 5359 EEG waveform plot images from 107 adult subjects across two epilepsy monitoring units in separate medical facilities were divided into epileptic and non-epileptic groups for training and cross-validation of the CNN. The model achieved an accuracy of 86.9% (Area Under the Curve, AUC 0.92) at the site where training data were extracted and an accuracy of 87.3% (AUC 0.94) at the other site whose data were only used for validation. This investigation demonstrates the high accuracy achievable with CNN analysis of EEG plot images and the robustness of this approach across EEG visualization software, laying the groundwork for further subclassification of seizures using similar approaches in a clinical setting.

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.

Emergency Department Treatment of Psychogenic Non-epileptic Seizures: A Retrospective Chart Review (P7-1.005)

Emergency Department Treatment of Psychogenic Non-epileptic Seizures: A Retrospective Chart Review (P7-1.005)

Reconsidering the Ethics of Provocation Techniques for Psychogenic Non-epileptic Seizures and Proposed Ethical Guidelines for Use (P2-10.005)

Reconsidering the Ethics of Provocation Techniques for Psychogenic Non-epileptic Seizures and Proposed Ethical Guidelines for Use (P2-10.005)

A case report on psychogenic non-epileptic disorder

Psychogenic non-epileptic seizure (PNES) involves attacks that act as epilepsy-related seizures. PNES is more likely to affect women than men and utmost generally begins in the youth. Epileptic seizures generally last between 30 and 120 s depending on the type, while PNES occurrences generally last for two to five twinkles. Features that are common in PNES but rarer in epilepsy include smelling the tip of the lingo, seizures lasting further than two twinkles (easiest factor to distinguish), seizures having a gradational onset, a shifting course of complaint inflexibility, the eyes being closed during a seizure, and side to side head movements. Psychotherapy is the most constantly used treatment, which might include cognitive behavioral remedy or remedy to retrain the physical symptoms and allow the existent to recapture control of the attacks. There is also some substantiation supporting picky serotonin reuptake asset antidepressants. Here, we present the case of a 45-year-old female presented with the chief complaints of giddiness in the right ear for 1 week, vomiting for 2 days, and two episodes of bilateral upper and lower body jerks. Later on, she was diagnosed with PNES.

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

ObjectivePsychogenic 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. MethodsA 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. ResultsThe 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. ConclusionThe 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.

Characteristics of Patients Diagnosed with Psychogenic Non-Epileptic Seizures (PNES) Who Request Reinstatement of Their Driving Privileges

Characteristics of Patients Diagnosed with Psychogenic Non-Epileptic Seizures (PNES) Who Request Reinstatement of Their Driving Privileges

Assessment of the Efficacy of Intensive Continuous Theta Burst Stimulation over Supplementary Motor Area in Psychogenic Non-Epileptic Seizure: A Randomized Sham-Controlled Pilot Trial

Objectives: There is a need for novel treatment strategies for psychogenic non-epileptic seizures (PNES). Thus, we aimed to evaluate the effectiveness of continuous theta burst stimulation (cTBS) over supplementary motor area (SMA) in PNES using a randomized, sham-controlled design.Material and Methods: About 20 right-handed patients aged between 18 to 59 years were randomly allocated into active and sham groups to receive cTBS sessions (2 sessions /day, half an hour apart, 1200 pulses per day, at 80% MT) for 5 days in a week over SMA. PNES patients were evaluated on the psychogenic non-epileptic seizure scale (PNSS), dissociative experiences scale (DES-II), hospital anxiety depression scale (HADS), WHOQOL-BREF, and clinical global impression-severity (CGI-S) at baseline, after 10th rTMS session, and2-weeks post cTBS.Results: Our study fails to show a significant effect on between group* time interaction in the frequency of PNES attacks (F = 0.011; p = 0.998), total-PSS (F = 0.429; p = 0.654), DES-II (F = 1.865; p = 0.169), CGI-S (F = 0.239; p = 0.789)in an intention to treat protocol across 3 weeks. Minimal side effects were reported and no patient discontinued the trial citing side effects.Conclusion: We conclude that intensive SMA, cTBS in PNES is well tolerated with non-inferior clinical benefits when compared to placebo

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

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. 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. 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. 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. 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.

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

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. 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). 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. 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.

Etiological Factors and Symptom Triggers in Functional Motor Symptoms and Functional Seizures: A Pilot Investigation.

This study examined etiological factors and symptom triggers of functional motor symptoms (FMS) or functional seizures (FS) and assessed potential relationships with relevant clinical features (i.e., functional symptoms, quality of life, and general functioning). Seventeen participants with FMS or FS and 17 healthy control participants underwent an in-depth clinical interview and completed questionnaires assessing adverse life events, psychological and physical symptoms, alexithymia, autistic traits, illness perceptions, health-related quality of life (HRQoL), and work and social functioning. Participants with FMS or FS perceived various causes of the disorder, including physical symptoms (65%), emotional problems (53%), adverse life events (47%), and work-related factors (29%). Triggers of FMS and FS included physical activity or exertion (59%), stress and emotions (59%), sensory experiences (47%), and fatigue (41%). Compared with healthy control participants, participants with FMS or FS reported more adverse events during adolescence and higher levels of alexithymia, somatoform dissociation, psychological dissociation (disengagement, depersonalization, and derealization), anxiety, depression, and physical symptoms. Participants with FMS or FS had worse HRQoL than healthy control participants and impaired work and social functioning. There were inverse associations between HRQoL scores and somatoform dissociation, anxiety, and adverse life events. Participants with FMS or FS reported diverse biopsychosocial etiological factors and symptom triggers. Ongoing psychological symptoms and lifetime adverse experiences were associated with worse HRQoL. Future studies will examine these factors in larger samples of individuals with FMS or FS to better understand their shared and distinct etiological underpinnings.

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.

A comparative study of psychiatric comorbidities and quality of life in patients with epilepsy and psychogenic non-epileptic seizures

Background: Epilepsy and psychogenic non-epileptic seizures (PNES) are both common disease entities and psychiatric comorbidities are also high among the sufferers. Studies on the comparison of the levels of comorbidities between the two groups are few in number. Aims and Objectives: The aims of this study were to investigate different psychiatric disorders like depression, anxiety, social functioning, and quality of life (QoL) in epilepsy and PNES patients and compare them statistically. Materials and Methods: 38 epilepsy and 22 PNES patients were evaluated with clinical history and different tools like the mini international neuropsychiatric interview - 5, Beck’s Depression Inventory - 2,state and trait anxiety inventory, Social and Occupational functioning scale for epilepsy and QoL in epilepsy - 31 questionnaire. Comparisons were made between the groups regarding sociodemographic data, scores on different aspects of psychiatric disorders, social functioning, and QoL. Results: The majority in the epilepsy group were males, and in the PNES group were females, while younger age group predominates in both groups. There was a high prevalence of depression and anxiety in both groups, while PNES subjects had significantly higher depression and trait anxiety scores. Social and occupational functions were comparable in the two groups, but QoL indexes were significantly worse in the PNES group. Conclusion: Findings in this study indicate that psychiatric comorbidities like depression and anxiety disorders are much more common among patients with epilepsy and PNES. Occurrence of depression is even higher among patients with PNES. Both epilepsy/PNES and these psychiatric comorbidities affect Socio-occupational functions and their QoL. Thus, it is very important to look for these psychiatric comorbidities and QoL in these patients and implement proper management protocols to improve their mental health as well as their QoL.

Education Research: Educating Child Neurology Residents About Psychogenic Nonepileptic Seizures

Background and Objectives Psychogenic nonepileptic seizures (PNES) are difficult to differentiate from epileptic seizures (ES) even for neurologists who see these conditions frequently. This difficulty is due to overlapping semiologic findings between the 2 diagnoses. Previous studies have shown that trainees, including neurology trainees, are not accurate in differentiating PNES from ES. Neurologists often find the communication of PNES difficult. Despite these challenges, most programs do not have formal curricula for teaching PNES, and there are no standards for residency curricula in this topic. The aim of this study was to understand the gaps in resident education on PNES. Methods This study was accomplished through a needs assessment of current pediatric neurology residents and residency program directors (PDs). Two unique surveys were distributed, 1 for child neurology trainees and 1 for PDs. Questions were designed to understand trainees' self-reported knowledge, confidence, current education received, and desired teaching. Similarly for PDs, questions were designed to assess the state of education on PNES at their programs, sufficiency of education, and their desire for standardized curriculum. Results Sixty-eight trainees and 21 PDs responded to the survey. Approximately one-quarter of trainees reported neutral to low levels of confidence and 38% reported neutral to low levels of knowledge in caring for patients with PNES. Trainees reported that directing patients with PNES to appropriate management was the most challenging aspect of care, followed by communicating the diagnosis, with 60% and 46% reporting difficulty, respectively. Only 21% of residents felt their current PNES education needs no improvement. One-fifth of PDs felt their current PNES education is not sufficient, and all reported they would incorporate a standardized curriculum. Trainees reported preferring to learn about this topic through lectures and simulation, while PDs preferred online modules and simulation. Discussion While residents and PDs report high confidence and knowledge in treating pediatric patients with PNES, respondents felt improvement is needed to their curricula regarding this topic. Multiple learning methods are preferred, with emphasis on communicating the diagnosis and management of patients once the diagnosis has been made. PDs desire a standardized curriculum and would incorporate one into their programs. Findings of this study could be used to create a national curriculum.

Long term effects of childhood trauma and abuse: Narrative on functional neurological disorder.

Functional neurological disorder is a condition in which a person experiences physical symptoms that cannot be fully explained by a medical condition. In Pakistan, domestic violence as well as emotional, physical and sexual abuse in children are prevalent. Despite legal and social support for victims, stigmatisation regarding seeking psychological help complicates the challenge. Some of the research culminated that patients with neurological disorder reported high level of sexual abuse and trauma. The symptomatology of functional neurological disorder is being ignored in Asian countries due to indigenous factors like poverty, lack of information on reporting abuse, poor law-enforcement and victim blaming. Functional neurological disorder can be manifested in various ways in the human body, such as blindness, paralysis, dystonia, swallowing difficulties, difficulty walking, motor symptoms affecting limbs, voice production, problems in sensory functions, problems in cognitive function, psychogenic non-epileptic seizures and even dementia, whereas differential diagnosis is established after screening for organicity. The common risk factors of functional neurological disorder may include psychosocial stressors, family history of functional neurological disorder, and significant life changes. It is critical to understand the disorder in reference to predisposing risk factors, cultural context, comorbidities and gender specification to diagnose and treat functional neurological disorder in time so that better intervention protocols could be devised to treat it efficiently.

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

PurposeCurrently, 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. MethodsOnly 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. ResultsA 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]). ConclusionStandard approaches to pharmacological treatment for patients with FS differed between the public and private hospitals and may indicate a gap in quality of care.

New-onset seizures misdiagnosed as psychogenic non-epileptic seizures: a case of paraneoplastic limbic encephalitis with primary testicular cancer

BackgroundBehavioral psychiatric symptoms can be the only warning signs of more serious conditions such as paraneoplastic limbic encephalitis. Differentiating between primary psychiatric disorders and paraneoplastic neurological syndromes is crucial as they require distinct treatment approaches. In this case report, we provide an overview of paraneoplastic encephalitis and introduce a unique case that showcases a misdiagnosis of psychogenic non-epileptic seizures (PNES) in a male as the primary symptom of paraneoplastic encephalitis due to pure seminoma. This case highlights the underlying pathophysiology of antibody-mediated paraneoplastic encephalitis and its significance.Case presentationA 31-year-old male with no known past medical history presented due to recurrent seizures. There was no prior history of epilepsy or exposure to seizure-triggering agents. Imaging and electroencephalogram findings during his initial hospitalizations pointed to a potential diagnosis of PNES. The patient continued to experience seizures following discharge, leading to repeat hospitalizations. During the fourth hospitalization, the patient received mood-stabilizing anti-seizure medications and benzodiazepines, but he deteriorated and required intubation. It was during this time that the patient was transferred to our facility. Magnetic resonance imaging of the brain revealed multifocal areas of hyperintensity and restricted diffusion with avid enhancement. Immunotherapy was initiated with improvement of non-epileptic spells and encephalopathy. Outpatient workup uncovered malignant pure seminoma with metastases to the retroperitoneum. The authors theorize that paraneoplastic neurological disorders stemming from testicular cancer led to the neurological symptoms seen in this case.ConclusionThis report highlights a rare occurrence of paraneoplastic limbic encephalitis associated with pure testicular seminoma, clinically manifested as PNES. The diagnostic challenge posed by variability of presenting symptoms in paraneoplastic encephalitis emphasizes the importance of accurate differentiation from conditions such as autoimmune encephalitis. Current diagnostic approaches for paraneoplastic and autoimmune etiologies involve detection of known antibodies, as well as brain imaging. Notable antibodies associated with psychogenic non-epileptic seizures symptoms include anti-GAD-65, anti-Ma2, KLH11-antibodies, anti-Hu, and NMDA receptor antibodies. Recognizing paraneoplastic limbic encephalitis symptoms is challenging and often leads to misdiagnosis or overlooking of malignancies highlighting the need for awareness, comprehensive evaluation and timely treatment. Through this comprehensive case analysis, we enhance the understanding of underlying mechanisms, associated symptoms, and treatment options.

Outcome of psychogenic non-epileptic seizures following diagnosis in the epilepsy monitoring unit.

To study the outcome of patients with psychogenic non-epileptic seizures (PNES) after their diagnosis in the epilepsy monitoring unit (EMU). Patients diagnosed in our EMU with definite PNES between January 2009 and May 2023 were contacted by phone, and those who agreed to participate were asked a set of predetermined questions. Comparative analyses were carried out on several variables before and after diagnosis: number of participants with daily PNES, number of visits to the emergency department, number of participants who consulted their general practitioner or a neurologist outside of a scheduled follow-up, number of participants who took antiseizure medications (ASMs) or psychotropic drugs, and employment status. Out of the 103 patients with a definite diagnosis of PNES, 61 patients (79% female) accepted to participate in our study. The median age at PNES onset was 35 years, and the median delay to diagnosis was 3 years. Almost two-thirds (62%) were receiving ASMs and 40% psychotropic drugs. The mean stay at the EMU was 5 days. PNES diagnosis was explained to almost all patients (97%) by the end of their EMU stay and was well-accepted by most (89%). When contacted, 46% of participants no longer had PNES; 32% mentioned that their PNES had ceased immediately upon communication of the diagnosis. The median follow-up duration was 51 months. Fewer patients had daily seizures after the diagnosis (18 vs. 38%; p < 0.0455). Similarly, the median number of emergency department visits was significantly lower (0 vs. 2; p < 0.001). Only 17 patients consulted their general practitioner (vs. 40, p < 0.001) and 20 a neurologist (vs. 55, p < 0.001) after a PNES attack outside of a scheduled follow-up. The use of ASMs was also significantly reduced from 70 to 33% (p < 0.01), with only one still taking an ASM for its antiseizure properties. Significantly more participants were working at last follow-up than at PNES diagnosis (49 vs. 25%; p < 0.001). Our study revealed a relatively favorable long-term outcome of definite PNES diagnosed in the EMU that translated in significant reductions in PNES frequency, health care utilization and ASM use, as well as a significant increase in employment rate.