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.

Patients with psychogenic nonepileptic seizures and suspected epilepsy: An antiseizure medication reduction study.

OBJECTIVE: To examine predictors of ASM reduction/discontinuation and PNES reduction/resolution in patients with PNES with a confirmed or strong suspicion of comorbid ES. METHODS: A retrospective analysis of 271 newly diagnosed Patients with PNESs admitted to the EMU between May 2000 and April 2008, with follow-up clinical data collected until September 2015. Forty-seven patients met our criteria of PNES with either confirmed or probable ES. RESULTS: Patients with PNES reduction were significantly more likely to have come off all ASMs by the time of final follow-up (21.7 vs. 0.0%, p = 0.018), while documented generalized (i.e. epileptic) seizures were much more common in patients with no reduction in PNES frequency (47.8 vs 8.7%, p = 0.003). When comparing patients that reduced their ASMs (n = 18) with those that did not (n = 27), the former were more likely to have neurological comorbid disorders (p = 0.004). When comparing patients with PNES resolution (n = 12) vs not (n = 34), those with PNES resolution were more likely to have a neurological comorbid disorder (p = 0.027), had a younger age at EMU admission (29.8 vs 37.4, p = 0.05) and a greater proportion of patients with ASMs reduced in EMU (66.7% vs 30.3%, p = 0.028). Similarly, those with ASM reduction had more unknown (non-generalized, non-focal) seizures (33.3 vs 3.7%, p = 0.029). On hierarchical regression analysis, a higher level of education and absence of generalized epilepsy remain as positive predictors of PNES reduction (p = 0.042, 0.015), while the presence of some other neurological disorder besides epilepsy (p = 0.04) and being on more ASMs at EMU admission (p = 0.03) were positive predictors of ASM reduction by final follow-up. SIGNIFICANCE: Patients with PNES and epilepsy have distinct demographic predictors of PNES frequency and ASM reduction by final follow-up. Patients with PNES reduction and resolution had higher level education, less generalized epileptic seizures, younger age at EMU admission, more likely to have presence of a neurological disorder besides epilepsy, and a greater proportion of patients had a reduction in the number of ASMs in the EMU. Similarly, patients with ASM reduction and discontinuation were on more ASMs at initial EMU admission and also were more likely to have a neurological disorder besides epilepsy. The positive relationship between reduction in psychogenic nonepileptic seizure frequency and discontinuation of ASMs at final follow-up elucidates that tapering medication in a safe environment may reinforce psychogenic nonepileptic seizure diagnosis. This can be reassuring to both patients and clinicians, resulting in the observed improvements at the final follow-up.

Clinical MRI morphological analysis of functional seizures compared to seizure-naïve and psychiatric controls.

PURPOSE: Functional seizures (FS), also known as psychogenic nonepileptic seizures (PNES), are physical manifestations of acute or chronic psychological distress. Functional and structural neuroimaging have identified objective signs of this disorder. We evaluated whether magnetic resonance imaging (MRI) morphometry differed between patients with FS and clinically relevant comparison populations. METHODS: Quality-screened clinical-grade MRIs were acquired from 666 patients from 2006 to 2020. Morphometric features were quantified with FreeSurfer v6. Mixed-effects linear regression compared the volume, thickness, and surface area within 201 regions-of-interest for 90 patients with FS, compared to seizure-naïve patients with depression (n = 243), anxiety (n = 68), and obsessive-compulsive disorder (OCD, n = 41), respectively, and to other seizure-naïve controls with similar quality MRIs, accounting for the influence of multiple confounds including depression and anxiety based on chart review. These comparison populations were obtained through review of clinical records plus research studies obtained on similar scanners. RESULTS: After Bonferroni-Holm correction, patients with FS compared with seizure-naïve controls exhibited thinner bilateral superior temporal cortex (left 0.053 mm, p = 0.014; right 0.071 mm, p = 0.00006), thicker left lateral occipital cortex (0.052 mm, p = 0.0035), and greater left cerebellar white-matter volume (1085 mm3, p = 0.0065). These findings were not accounted for by lower MRI quality in patients with FS. CONCLUSIONS: These results reinforce prior indications of structural neuroimaging correlates of FS and, in particular, distinguish brain morphology in FS from that in depression, anxiety, and OCD. Future work may entail comparisons with other psychiatric disorders including bipolar and schizophrenia, as well as exploration of brain structural heterogeneity within FS.

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

OBJECTIVE: Comorbid epilepsy and psychogenic nonepileptic seizures (PNES) occur in 12-22% of cases and the diagnosis of both simultaneous disorders is challenging. We aimed to identify baseline characteristics that may help distinguish patients with PNES-only from those with comorbid epilepsy. METHODS: We performed a longitudinal cohort study on those patients diagnosed with PNES in our epilepsy monitoring unit (EMU) between May 2001 and February 2011, prospectively followed up until September 2016. Patients were classified into PNES-only, PNES + possible or probable epilepsy, and PNES + definite epilepsy based on the clinical, vEEG, and neuroimaging data. Demographic and basal clinical data were obtained from chart review. Multiple regression models were performed to identify significant predictors of PNES + definite epilepsy, excluding patients with only possible or probable epilepsy for this specific analysis. RESULTS: One-hundred and ninety four patients with PNES-only, 30 with PNES + possible or probable epilepsy and 47 with PNES + definite epilepsy were included. 73.8% were female and the mean age at EMU admission was 37.4 ±â€¯standard deviation 13.5 years. Patients with PNES + definite epilepsy most likely had never worked, had history of febrile seizures, structural brain lesions, developmental disabilities, and maximum reported seizure duration between 0.5 and 2 min. Patients with PNES-only were on fewer anti-seizure medications (ASM), reported more frequently an initial minor head trauma, seizures longer than 10 min, and a higher number of neurological and medical illnesses - being migraine (18.1%), other types of headaches (18.5%), and asthma (15.5%) the most prevalent ones. All p < 0.05. On the hierarchical regression analysis, history of febrile seizures, developmental disabilities, brain lesions, longest reported seizure duration between 0.5 and 2 min, and lack of neurological comorbidity, remained as significant predictors of PNES + epilepsy. The model's performance of a 5-fold cross-validation analysis showed an overall accuracy of 84.7% to classify patients correctly. CONCLUSIONS: Some demographic and clinical characteristics may support the presence of comorbid epilepsy in patients with PNES, being unemployment, the presence of brain lesions, developmental disabilities, history of febrile seizures, seizure duration and lack of comorbid headaches the most relevant ones.

Predicting outcome of patients with psychogenic nonepileptic seizures after diagnosis in an epilepsy monitoring unit.

OBJECTIVE: To identify predictors of Psychogenic NonEpileptic Seizure (PNES) improvement and anti-seizure medication (ASM) discontinuation in patients with PNES only. METHODS: This is a retrospective study of a consecutively enrolled cohort of 271 patients diagnosed with PNES by video-EEG (vEEG) telemetry in our Epilepsy Monitoring Unit (EMU) between May 2000 and February 2010. Patients with any possibility of past or present comorbid epilepsy based on clinical, EEG, and neuroimaging, or less than one year of follow-up after discharge were excluded. RESULTS: A total of 109 subjects were included. The mean age at PNES onset was 33 (range 6-89), mean age at EMU admission was 38.3 (16-89.8), 70.6% were female mean video-EEG length was 6.1 days, and the median time of final follow-up 3.3 (CI 1.6-6.4) years. 51/108 patients (47.2%) reported a PNES decrease and 29 (26.8%) experienced PNES resolution. 59/73 (81.9%) subjects on ASM at the time of EMU admission were able to discontinue them by the final visit. On univariate analysis, patients whose PNES frequency improved were significantly younger at time of admission, more likely married or cohabiting, less likely unemployed, less likely to have migraine, and had a higher frequency of PNES. On hierarchical regression analysis, younger age and employment remained significant predictors of PNES improvement and resolution. Patients who achieved ASM discontinuation had significantly more children and subsequent EMU visits, were less likely to have history of minor head trauma immediately preceding PNES onset and structural brain lesions, experienced a greater reduction of ASMs during the EMU admission, and had a greater improvement of their PNES frequency at the final visit (p ≤ 0.05). On hierarchical regression analysis, higher number of children, absence of structural brain lesions, fewer ASMs at EMU discharge, and improvement of PNES frequency remained significant predictors of ASM discontinuation. CONCLUSION: The outcome of PNES is positively correlated with earlier age of diagnosis in an EMU, especially in patients with better social resources. Furthermore, discontinuation of ASM is more likely if the process is initiated during the EMU stay and in the absence of structural brain lesions.

Socioeconomic disparities in patients with psychogenic nonepileptic seizures and their caregivers.

OBJECTIVE: There is no information on disparities of patients with psychogenic nonepileptic seizures (PNES) and their caregivers. The objective of this exploratory study is to compare patients with PNES and caregivers with low socioeconomic status (SES) with those of high SES for disparities in healthcare use, seizures, medication adverse effects, psychosocial impact, and knowledge about epilepsy. METHODS: Patients with PNES and caregivers completed surveys about the aforementioned outcomes during their Epilepsy Monitoring Unit (EMU) admission. Associations were evaluated using SES as a binary independent variable and the patient- and caregiver-related outcomes as dependent variables. RESULTS: Forty-three patients and 28 caregivers were recruited. The majority of patients were on average 36 years old, single women, unemployed, with some college education. The majority had PNES for 8 years averaging 20 seizures per month and were maintained on ≥2 antiepileptic drugs (AEDs) prior to their EMU admission. Most caregivers were first-degree relatives with a mean age of 43 years, married employed women of higher educational attainment, typically cohabitating with the patients. Low SES patients showed poorer knowledge about epilepsy (p < 0.0001) and higher anxiety levels (p = 0.03). Conversely, high SES patients demonstrated poorer social functioning (p = 0.04). High SES caregivers showed higher caregiving burden (p = 0.01). CONCLUSION: There are noteworthy disparities in patients with PNES of different SES and their caregivers. Identification of those disparities is a critical step in the creation of appropriate interventions to address them.

Diagnostic accuracy of paroxysmal spells: Clinical history versus observation.

Our goal was to evaluate how accurate neurologists are at differentiating between different paroxysmal events based on clinical history versus observation of the spell in question. Forty-seven neurologists reviewed 12 clinical histories and videos of recorded events of patients admitted in the Epilepsy Monitoring Unit (EMU). They were asked to diagnose events as epileptic seizures, non-epileptic behavioral spells (NEBS), or other physiologic events as well as rate their confidence in their diagnosis. The median diagnostic accuracy for all paroxysmal events was 67% for clinical history and 75% for observation (p=.001). This was largely due to the difference in accuracy within the subgroup of patients with NEBS (67% history vs. 83% observation, p<.001). There were trends for higher diagnostic accuracy and increased inter-rater agreement with higher levels of training. Physicians with higher levels of training were more confident with diagnosis based on observation. In summary, reviewing videos of paroxysmal spells may improve diagnostic accuracy and enhance the evaluation of patients. Neurologists at all levels of training should encourage the recording and review of videos of recurrent spells to aid in medical decision-making especially when there is high concern that the spells in question are NEBS.

An Overview of Psychogenic Non-Epileptic Seizures: Etiology, Diagnosis and Management.

The purpose of this review is to provide an update of the research regarding the etiology, diagnosis and management of psychogenic non-epileptic seizures (PNES). A literature search using Pubmed, Ovid MEDLINE and EMBASE database was performed from 2000 up to August 2017. We have evaluated the different factors leading to PNES as well as the diagnostic approach and management of this disorder which continue to be very difficult. The coexistence of epilepsy and PNES poses special challenges and requires the coordinated efforts of the family physicians, psychiatrists, psychologists and neurologists. Although this condition has an overall poor prognosis, a multidisciplinary approach in the diagnosis and management of this disorder would likely improve the outcomes. We have proposed a diagnostic and treatment algorithm for PNES and suggested a national registry of patients suffering from this condition. The registry would contain data regarding treatment and outcomes to aid in the understanding of this entity.

Diagnostic implications of review-of-systems questionnaires to differentiate epileptic seizures from psychogenic seizures.

OBJECTIVE: Early and accurate diagnosis of patients with psychogenic nonepileptic seizures (PNES) leads to appropriate treatment and improves long-term seizure prognosis. However, this is complicated by the need to record seizures to make a definitive diagnosis. Suspicion for PNES can be raised through knowledge that patients with PNES have increased somatic sensitivity and report more positive complaints on review-of-systems questionnaires (RoSQs) than patients with epileptic seizures. If the responses on the RoSQ can differentiate PNES from other seizure types, then these forms could be an early screening tool. METHODS: Our dataset included all patients admitted from January 2006 to June 2016 for video-electroencephalography at UCLA. RoSQs prior to May 2015 were acquired through retrospective chart review (n=405), whereas RoSQs from subsequent patients were acquired prospectively (n=190). Controlling for sex and number of comorbidities, we used binomial regression to compare the total number of symptoms and the frequency of specific symptoms between five mutually exclusive groups of patients: epileptic seizures (ES), PNES, physiologic nonepileptic seizure-like events (PSLE), mixed PNES plus ES, and inconclusive monitoring. To determine the diagnostic utility of RoSQs to differentiate PNES only from ES only, we used multivariate logistic regression, controlling for sex and the number of medical comorbidities. RESULTS: On average, patients with PNES or mixed PNES and ES reported more than twice as many symptoms than patients with isolated ES or PSLE (p<0.001). The prospective accuracy to differentiate PNES from ES was not significantly higher than naïve assumption that all patients had ES (76% vs 70%, p>0.1). DISCUSSION: This analysis of RoSQs confirms that patients with PNES with and without comorbid ES report more symptoms on a population level than patients with epilepsy or PSLE. While these differences help describe the population of patients with PNES, the consistency of RoSQ responses was neither accurate nor specific enough to be used solely as an early screening tool for PNES. Our results suggest that the RoSQ may help differentiate PNES from ES only when, based on other information, the pre-test probability of PNES is at least 50%.

Driving and Epilepsy: a Review of Important Issues.

Driving restrictions in people with epilepsy (PWE) is a highly contentious topic. The fundamental difficulty lies in achieving a balance between safety and practicality. The aim of this review is to provide an overview, history, and rationale behind current laws regarding driving restriction in PWE. We also discuss recent findings that may be helpful to practitioners during individual discussions with PWE including seizure recurrence risk after first seizure, recurrent seizure, and anticonvulsant with drawl and driving restrictions in patients with psychogenic non-epileptic seizures (PNES).

Psychogenic non-epileptic seizures in early Huntington's disease.

Huntington's disease (HD) is a neurodegenerative condition characterised by motor dysfunction with involuntary movements and loss of voluntary control, cognitive deterioration and psychiatric problems. We report a 51-year-old man with early HD who experienced stereotyped episodes of repetitive, purposeless complex movements and unresponsiveness. His neurological examination was compatible with HD as were all investigations. We diagnosed psychogenic non-epileptic seizures. While seizures are common in juvenile-onset HD, they are no more prevalent in adult-onset HD than in the general population. However, neuropsychiatric symptoms are common in HD and can involve a number of different complaints. Patients may experience dissociative attacks soon after manifesting a HD diagnosis. Such episodes can be managed with patient and carer education, cognitive behavioural therapy and anxiolytic selective serotonin reuptake inhibitors.

Outcome at 5-10 years in psychogenic nonepileptic seizures: what patients report vs. what family doctors report.

OBJECTIVES: We previously found that family doctor records indicated that 78.1% of 188 patients with PNES were not accessing medical care for their attacks at 5-10 years after diagnosis. We wanted to determine whether this represented a better-than-expected outcome or whether patients had just ceased to access medical care for their attacks. METHODS: We sent a postal questionnaire to 221 patients with PNES. We compared the responses with information obtained from family doctors. RESULTS: Seventy-five (33.9%) patients responded to the survey, and, of those, 36.5% reported that they were free of attacks. However, in 52.1% of responders, the date of last attack was more than 6 months previously, and in 39.4%, more than 12 months previously. Comparison with baseline data suggested a substantial long-term reduction in attack frequency in almost all patients. Comparison with family doctor-acquired data showed that 6 patients who reported that they were free of attacks were seeking medical attention for PNES and that 27 patients reported having attacks but were not seeking medical attention for them. CONCLUSION: There appeared to be a wide variation in what patients regarded as 'free of attacks', suggesting that PNES outcomes based on simply asking patients if they are free of attacks should be interpreted with caution. Reduction in frequency of PNES may explain why some patients who report continuing attacks nonetheless cease to access medical services for them.

Neurologist assessment of reactions to the diagnosis of psychogenic nonepileptic seizures: relationship to short- and long-term outcomes.

PURPOSE: To determine the relationship between neurologist assessment of reactions to the diagnosis of PNESs and outcomes at 6-12 months and at 5-10 years. METHODS: Two hundred thirty-eight patients with psychogenic nonepileptic seizures (PNES) were recruited into a long-term follow-up study. At diagnosis and 6-12 months post diagnosis, doctors recorded their assessments of patient and caregiver reactions to the diagnosis of PNESs. RESULTS: At baseline, 92/238 patients (38.7%) and 73/106 caregivers (68.9%) were assessed as having understood and accepted the diagnosis, while 6.7% of patients and 10.4% of caregivers reacted with anger. At 6-12 months, patient acceptance rose to 57.7%, with caregiver acceptance static at 70.8%. Attendance at follow-up was predicted by the presence of a caregiver at baseline: only one patient who came with a caregiver at baseline did not attend at 6-12 months (OR: 123.80, p < 0.001). Outcome at 6-12 months was predicted by patient acceptance at baseline (OR: 2.85, p = 0.006) and at 6-12 months (OR: 13.83, p < 0.001) and by caregiver acceptance at 6-12 months (OR: 10.77, p < 0.001). Presentation to primary or secondary care with attacks at 5-10 years was predicted by caregiver acceptance at 6-12 months (OR: 3.50, p = 0.007). CONCLUSION: Patient understanding and acceptance of the diagnosis of PNESs are linked to outcome at 6-12 months. The beliefs of caregivers may be important for outcome in the longer term, particularly with respect to health-care use.

[Non-epileptic disorders in infancy and adolescence]. / Crisis no epilépticas en la infancia y adolescencia.

Epilepsy affects 0.5% of the population. A 25% of the patients referred to epilepsy services have paroxysmal clinical events associated with motor activities, sensory or emotional alterations, or consciousness impairment, which are not epileptic seizures. The non-epileptic seizures can be classified as psychogenic, which do not have a medical cause, and are associated with primary or secondary psychological problems, and as of physiological origin. The non-epileptic events are manifested by paroxysmal or repetitive behaviors that might be confused with epileptic seizures. The diagnosis is very important in order to avoid unnecessary tests and iatrogenic therapies. This study will present clinical cases and review of the main non-epileptic physiological events (sleep disorders, movement disorders, hypoxic-ischemic phenomena) and psychogenic events (somatoform disorders, fictitious disorders and anxiety disorder).

Seizures and pseudoseizures: The great divide.

Patients who display the neurological phenomena variously referred to as pseudoseizures, dissociative seizures, or psychogenic non-epileptic seizures present an important problem in the treatment of epilepsy. Their convulsive or non-convulsive episodes show no epileptiform activity on electroencephalography but are distressing and debilitating to patients so afflicted, and can be difficult to distinguish from classical epilepsy. It is important to make this distinction, as the treatment for pseudoseizures is typically cognitive behavioral therapy rather than anticonvulsant medication. This review describes the clinical differences in the signs and symptoms of patients with pseudoseizures vs classical epileptic seizures, as well as the underlying mechanisms triggering pseudoseizures, and the outcomes achieved with the treatment paradigms currently available for them.

A Rare Presentation of Shared Phenomenon in Dissociative Disorders in Extreme of Ages: A Report of Two Cases.

Conversion disorders (CD) are changes in sensorimotor activity experienced by an individual due to an external event. Patients may experience "pseudoseizures" accompanied by the presence or absence of loss of consciousness. Disorders of movement and sensation is the term used to classify the various kinds of CDs in the International Classification of Diseases, Tenth Revision (ICD-10) diagnostic manual, and they are the rarest among all dissociative disorders. We will discuss two instances that are particularly rare. The first includes an older couple, starting with the wife, who had nervousness, heightened worry, intrusive thoughts, heavy perspiration, palpitations, headaches, and problems sleeping. She was prescribed 10 mg once-daily escitalopram. She stopped taking her medication and had facial and hand problems. The patient's 65-year-old husband started having strange hand and face movements and lost consciousness. The pair was hospitalized willingly and had radiographic (MRI and non-contrast computerized tomography {NCCT} head), nerve conduction, and neurological tests to rule out a movement issue. No inquiry or inspections uncovered anything unusual. The second case involves a mother and her 13-year-old son, who was taken to a psychiatric unit after urinating on a religious shrine. His mother had the same issue and couldn't urinate for days. Both patients were given 25 mg of paroxetine and benzodiazepines for anxiety and sleeplessness. After a week of medicine and psychotherapy after identifying stressors, both cases improved.

Psychogenic non-epileptic seizures in youth: Individual and family psychiatric characteristics.

Introduction: Youth with psychogenic non-epileptic seizures (PNES) are an understudied group associated with significant medical and psychiatric morbidity. Several studies have examined characteristics associated with youth's development of this disorder, though the exploration of family factors including psychiatric illness, has been lacking. This study sought to establish the need for a more comprehensive future study. Methods: A retrospective chart review was conducted on patients who had been admitted and diagnosed with PNES at the epilepsy monitoring unit at Children's Hospitals and Clinics of Minnesota. A total of 62 patients were included. All patients were evaluated by an epileptologist and psychologist during their diagnostic admission. "Spells" in question were captured via video EEG monitoring. PNES youth and family risk factors were assessed. Results: Mean age of PNES symptom onset was 13.9 years. Patients (73%) were diagnosed within 6 months of onset of symptoms. Histories of other impairing somatic complaints were present in the youth (54%), with 67% having prior psychiatric diagnoses. Experiencing suicidal ideation or thoughts of self-harm occurred in 47% of this sample. Family members were unaware of the history of these symptoms with 12% of the parent's reporting awareness. Family history of psychiatric disorders (first-degree relatives of patient) was present in 54% of the sample, with anxiety, depression and conversion disorder being the most commonly endorsed diagnoses. Conclusions: Youth with PNES present with comorbid psychiatric disorders, though prior assessment and treatment for these disorders was not common. Youth with PNES have history of suicidal ideation and thoughts of self-harm, though parental awareness of these co-occurring symptoms is limited. Family risk factors, such as history of psychiatric disorder in first degree relatives, was high. The impact of these family risk factors is understudied and should be further evaluated to better understand the impact on development and maintenance of this disorder in youth.

Risk factors for comorbid epilepsy in patients with psychogenic non-epileptic seizures. Dataset of a large cohort study.

Psychogenic non-epileptic seizures (PNES) are the main differential diagnosis of pharmacorresistant epilepsy. Achieving the certainty in the diagnosis of PNES may be challenging, especially in the 10-22% of cases in which PNES and epilepsy co-exist. This difficulty hampers the management of these patients. Unfortunately, published series with this combined pathology are scarce and small in size. This article presents the dataset of our article "Factors associated with comorbid epilepsy in patients with psychogenic non-epileptic seizures: a large cohort study" (Massot-Tarrús et al. 2022). It is composed by a detailed demographic and clinical data of 271 consecutive patients diagnosed with PNES in our epilepsy monitoring unit (EMU) between May 2001 and February 2011, and followed until September 2016. Based on the clinical, neuroimaging and vEEG findings, 47 of these patients were diagnosed with definite comorbid epilepsy, and 30 with possible or probable comorbid epilepsy. All data was collected retrospectively from chart review. The cohort is depicted by means of demographic variables; age at PNES onset; years with PNES; frequency of PNES; duration of longest PNES seizure; self-reported history of minor head trauma (not associated with an increased risk of epilepsy) immediately preceding the first PNES; history of substance abuse; past or present history of active suicidal ideation; neuropsychological evaluation with the Minnesota Multiphasic Personality Inventory test; number and nature of risk factors for epilepsy; co-morbid degenerative brain disease or other neurological or psychiatric medical conditions; semiology of the seizures and triggers; EEG findings; type of epilepsy; number of past EMU admissions and epilepsy clinic visits and re-referrals; number of Anti-Seizure Medications (ASM) at EMU admission and discharge; and the outcome of the spells and ASM after the EMU discharge. Those ASM prescribed for reasons other than the treatment of the seizures (e.g., psychiatric disorders, migraine, pain syndromes, etc.) were not counted. The presented baseline data can be used in studies evaluating the characteristics of patients with PNES and comorbid epilepsy, and in the creation of algorithms to identify them. It could facilitate the prioritization of this subgroup of patients for prolonged video-EEG monitorization to confirm the co-existence of both types of seizures and treat them accordingly.

Paroxysmal Nonepileptic Events in a Pediatric Epilepsy Clinic.

AIMS: We aimed to study the frequency, age, and gender distribution of paroxysmal nonepileptic events (PNEs) in children referred to epilepsy clinic with the diagnosis of epilepsy. We also evaluated the therapeutic implications of correct diagnosis and co-existence of true epilepsy in this population. SETTINGS AND DESIGN: All new patients below 18 years attending the Pediatric epilepsy out-patient clinic of PD Hinduja hospital over 6 months were evaluated. MATERIALS AND METHODS: Patients with history of paroxysmal events characterized by abrupt changes in consciousness or behavior or movement were included. They were assessed on description of events aided by recorded videos. If the diagnosis was not confirmed by this preliminary evaluation, further investigations were advised. STATISTICAL ANALYSIS USED: Chi-square/Fisher's exact test was used to analyze differences between categorical variables and Kruskal-Wallis test between continuous variables. The data were analyzed by SAS University Edition. All significance tests were two-tailed with α <0.05. RESULTS: Two hundred new patients presenting with paroxysmal events were enrolled over 6 months. After diagnoses, 19% of these children had PNEs, 80% had epileptic events, and 1% remained undiagnosed. Common nonepileptic events seen were physiological in patients below 5 years and psychogenic in older children. Thirty-four percent of patients with PNEs were on anti-epileptic drugs (AEDs). After confirming nonepileptic attacks, only 2.6% patients needed AEDs for coexisting epilepsy which was statistically significant (P < 0.001) change in treatment. CONCLUSIONS: Epilepsy mimics are common in children and are often misdiagnosed causing undue stress. Correct diagnosis leads to a drastic change in management like withdrawal of drugs, commencing new treatment if needed, and appropriate referrals.

Randomized Trials of Psychotherapeutic Treatment for Psychogenic Seizures: Scoping Review.

BACKGROUND: Psychotherapy improves seizure frequency and psychosocial aspects in psychogenic nonepileptic seizures (PNES). Although randomized controlled trials (RCTs) on different psychotherapies have been conducted for almost two decades now, no review has exclusively assessed RCTs of different psychotherapies. METHODS: The objective was to review RCTs of psychotherapy for PNES, to understand the impact of different psychotherapies. Eligibility criteria included full-text articles, English articles, published between years 2000 and 2020, randomized trials of psychotherapy, and the adult population. Databases included PubMed, ProQuest, Google Scholar, ScienceDirect, EBSCO, PsycINFO, Cochrane, and a random google search was conducted. Rayyan software was used to include articles that met our eligibility criteria. The search was carried out independently by two researchers. RESULTS: Based on the eligibility criteria, seven studies were found. Amongst them, cognitive behavioral therapy (CBT) was the most researched and seemed more effective when paired with standard medical care (SMC) or sertraline. Comparisons of CBT and brief psychodynamic therapy did not reveal significant differences. Other psychotherapies included motivational interview+psychotherapy, which significantly reduced seizure frequency and improved psychosocial functioning. Paradoxical intention therapy also reduced PNES symptoms; however, it has not been researched in the last 15 years. Group psychoeducation seems to have an impact only on psychosocial functioning and not on seizure frequency. CONCLUSION: CBT paired with SMC or sertraline and MI along with psychotherapy yields the most effective results for PNES in reducing seizure frequency and improving psychosocial functioning.