Prevalence of alexithymia in patients with psychogenic non-epileptic seizures and epileptic seizures and predictors in psychogenic non-epileptic seizures

ObjectiveThe first objective of this study was to determine the prevalence rate of alexithymia (dysregulation and unawareness of emotion) in patients with psychogenic non-epileptic seizures (PNESs) and epileptic seizures (ESs). The second objective was to identify the predictors of alexithymia in patients with PNESs.MethodsWe studied 66 consecutive patients with PNESs and 35 patients with ESs with the Toronto Alexithymia Scale-20. The prevalence of alexithymia was determined in both groups. In order to identify the risk factors of alexithymia in PNES, the Trauma Symptom Inventory-II (TSI-II), the MMPI 2-RF, a clinical history, and demographic variables were studied.ResultsOur study revealed a prevalence of alexithymia in PNES and ES of 36.9% and 28.6%, respectively (not a significant difference). Upon examining the group with PNES, we found a significant correlation between alexithymia and Anxious Arousal (r = .497, p < .000), Intrusive Experiences (r = .541, p < .000), Dissociation (r = .421, p < .001), and Defensive Avoidance (r = .444, p < .000) from the TSI-II. Minnesota Multiphasic Personality Inventory-2-RF RCd (r = .512, p < .000), RC1 (r = .346, p < .017), RC2 (r = .355, p < .017), RC3 (r = .467, p < .001), and EID (r = .567, p < .000) also correlated significantly with alexithymia. However, stepwise regression analysis only retained Intrusive Experiences and Defensive Avoidance from the TSI-II and the cynicism RC3 scale from the MMPI 2-RF.ConclusionSymptoms of psychological trauma and cynicism in patients diagnosed with PNESs were associated with alexithymia. These findings are encouraging, as they assist in better understanding the condition and in treatment design for this subset of patients.     

Cognitive impairment profile differences in patients with psychogenic non-epileptic seizures and epilepsy patients with generalized seizures

ABSTRACT

Objective: This study aimed to compare cognitive skills in epilepsy patients and psychogenic non-epileptic seizures (PNES) patients who have no history of frequent seizures to those of a healthy control group.

Methods: This prospective cross-sectional study was conducted between January 2017 and June 2019 and included 103 epilepsy patients, 100 PNES patients, and 101 healthy controls, aged 18 to 60 years. Patients with fewer than 12 annual seizure episodes and no history of seizures during the last 30 days were added to the study. A sociodemographic data form, the Beck Anxiety and Depression Scales, Montreal Cognitive Assessment, Digit Span test, and Stroop Color-Word Interference Test were used.

Results: Compared to the control group, sub-component scores were significantly lower in naming, attention, abstract thinking, and delayed recall for the epilepsy and PNES groups. Sub-component scores in orientation, executive functioning, and delayed recall were significantly lower in the epilepsy group compared to the PNES group. Digits Backward subtest scores and total Digit Span test scores were significantly lower in the epilepsy and PNES groups. Patients in the epilepsy and PNES groups took longer to complete the Stroop test and made more errors and corrections compared to the healthy controls. There was a negative correlation between the duration of the disease and the total Digit Span score in the epilepsy group.

Conclusion: These findings suggest that the epilepsy group showed reduced cognitive scores even though they did not suffer from frequent seizures and were not drug-resistant.     

Treating patients with psychogenic non-epileptic seizures

While the diagnostic features of psychogenic non-epileptic seizures have been better characterized in recent years, comparatively little is written about management. This review provides guidance to clinicians involved in the treatment of patients with psychogenic non-epileptic seizures and generates ideas for future research. It summarizes the recent literature specifically dealing with the treatment of such seizures and draws on the wider psychiatric literature on effective treatments for patients with other medically unexplained symptoms.     

Psychiatric disorders in patients with psychogenic non-epileptic seizures, with and without comorbid epilepsy.

PURPOSE: The aim of this study is to describe similarities and differences in epidemiological, psychiatric and semiologic variables between patients with psychogenic none epileptic seizures (PNES) and comorbid epilepsy (mixed PNES), and patients with PNES without comorbid epilepsy (pure PNES). RESULTS: Forty-three patients with PNES diagnosed by Video-EEG were included. Twenty-four had pure PNES, and ninteen mixed PNES. Female population, age, duration of PNES, psychiatric institutionalization, psychopharmacotherapy, dissociative disorders and posttraumatic stress disorder (PTSD), were significantly higher in the pure PNES patients. Suicide attempts, antiepileptic therapy, conversive, affective and personality disorders were frequent in both groups. In the analysis of seizure semiology, the total lack of responsiveness was significantly higher in the mixed PNES group. CONCLUSIONS: Pure PNES patients showed similarities and differences in the psychiatric profile, with a greater prevalence of dissociative disorders and PTSD, factors related to psychiatric severity.     

Subgroup classification in patients with psychogenic non-epileptic seizures

IntroductionIn this open non-controlled clinical cohort study, the applicability of a theoretical model for the diagnosis of psychogenic non-epileptic seizures (PNES) was studied in order to define a general psychological profile and to specify possible subgroups.MethodsForty PNES patients were assessed with a PNES “test battery” consisting of eleven psychological instruments, e.g., a trauma checklist, the global cognitive level, mental flexibility, speed of information processing, personality factors, dissociation, daily hassles and stress and coping factors.ResultsThe total PNES group was characterized by multiple trauma, personality vulnerability (in a lesser extent, neuropsychological vulnerabilities), no increased dissociation, many complaints about daily hassles that may trigger seizures and negative coping strategies that may contribute to prolongation of the seizures. Using factor analysis, specific subgroups were revealed: a ‘psychotrauma subgroup’, a ‘high vulnerability somatizing subgroup’ (with high and low cognitive levels) and a ‘high vulnerability sensitive personality problem subgroup’.ConclusionUsing a theoretical model in PNES diagnosis, PNES seem to be a symptom of distinct underlying etiological factors with different accents in the model. Hence, describing a general profile seems to conceal specific subgroups with subsequent treatment implications. This study identified three factors, representing two dimensions of the model, that are essential for subgroup classification: psychological etiology (psychotrauma or not), vulnerability, e.g., the somatization tendency, and sensitive personality problems/characteristics (‘novelty seeking’). For treatment, this means that interventions could be tailored to the main underlying etiological problem. Also, further research could focus on differentiating subgroups with subsequent treatment indications and possible different prognoses.This article is part of a Special Issue entitled “The Future of Translational Epilepsy Research”.     

Patients with epilepsy and patients with psychogenic non-epileptic seizures: Video-EEG, clinical and neuropsychological evaluation

Purpose

The incidence of psychogenic non-epileptic seizures (PNES) is 4.9/100,000/year and it is estimated that about 20–30% of patients referred to tertiary care epilepsy centers for refractory seizures have both epilepsy and PNES.The purpose of our study is to evaluate psychiatric disorders and neuropsychological functions among patients with PNES, patients with epilepsy associated with PNES and patients with epilepsy.

Methods

We evaluated 66 consecutive in-patients with video-EEG recordings: 21 patients with epilepsy, 22 patients with PNES and 10 patients with epilepsy associated with PNES; 13 patients were excluded (8 because of mental retardation and 5 because they did not present seizures or PNES during the recording period).

Results

All patients with PNES had a psychiatric diagnosis (100%) vs. 52% of patients with epilepsy. Cluster B personality disorders were more common in patients with PNES.We observed fewer mood and anxiety disorders in patients with PNES compared with those with epilepsy.We did not find statistically significant differences in neuropsychological profiles among the 3 patient groups.

Conclusion

This study can help to contribute to a better understanding of the impact of PNES manifestations, in addition to the occurrence of seizures, in order to provide patients with more appropriate clinical, psychological and social care.     

Clinical features of psychogenic non-epileptic seizures in prepubertal and pubertal patients with idiopathic epilepsy

A retrospective multicentre study was performed to analyse psychogenic non-epileptic seizures (PNES) in prepubertal and pubertal patients with idiopathic epilepsy and to determine whether have different clinical characteristics. In this study, we reviewed 36 patients from six neurological referral centres: Department of Pediatrics, Chieti (3 patients); Department of Child Neuropsychiatry, Naples (9 patients); Department of Child Neuropsychiatry, Bologna (8 patients); Department of Neuroscience, Tor Vergata University, Rome (3 patients); Department of Pediatrics, La Sapienza University, Rome (5 patients); and Department of Pediatrics, Siena (8 patients). The population was divided according to Tanner’stages into 14 prepubertal (group I) and 22 pubertal (group II) patients. The two groups were compared on several variables examining the differences between them. The most frequent clinical manifestations in group I were unresponsive events, whereas in group II, motor events were exhibited more significantly. Mood disorders, including major depression, appeared more frequently in pubertal group, but this did not reach a significant difference. Among the psychosocial stressors, fear of rejection and need for attention were the predominant types in the prepubertal patients. The findings of this study reveal some similarities and differences between prepubertal and pubertal patients, which might help to identify predictive factors in patients affected by idiopathic epilepsy who can develop PNES.     

Are there physical risk factors for psychogenic non-epileptic seizures in patients with epilepsy?

Patients with epilepsy may have additional psychogenic non-epileptic seizures (PNES). It has been suggested that PNES are more common if patients with epilepsy are female, develop epilepsy later in life and have right-sided brain lesions. We examine whether these or other physical factors affect the risk of PNES in patients with epilepsy in a controlled study. METHODS: Ninety consecutive patients with PNES and concurrent epilepsy (PNES+E group) and 90 consecutive patients with epilepsy alone (epilepsy group) were compared with regard to the variables sex, age at onset of epilepsy, epilepsy type (focal/generalised), location and lateralisation of epileptogenic zone, aetiology of epilepsy, interictal epileptiform potentials, magnetic resonance imaging (MRI) abnormalities, neuropsychological (NPS) deficits and intelligence quotient (IQ). RESULTS: Female sex (P<0.001), abnormal visual memory (P=0.012), global NPS impairment (P=0.029), and low IQ category (P=0.005) were associated with a higher risk of PNES. Other variables did not differ between the groups. CONCLUSIONS: In patients with epilepsy, female sex, poor visual memory or global neuropsychological underperformance and low IQ are associated with an increased risk of PNES. MRI changes, epileptiform EEG abnormalities and location of epileptogenic zone do not show a predilection for one hemisphere.     

Frequency of attacks in patients with psychogenic non-epileptic seizures

Aims. The aim of this study was to investigate the frequency of attacks (psychogenic seizures) in patients with psychogenic non-epileptic seizures (PNES) and to characterize factors potentially associated with attack frequency. Methods. In this retrospective study, all patients with PNES, who were studied at Shiraz Comprehensive Epilepsy Center at Shiraz University of Medical Sciences, Iran, from 2008 until 2018, were reviewed. We categorized the attack frequency in the patients as (1) daily; (2) weekly; and (3) frequency of less than one per week. Results. Three hundred and ten patients were studied. Attack frequency in patients was 34 ± 67 per month. One hundred and eleven patients (36%) had daily attacks, 93 (30%) had weekly attacks, and 106 (34%) had less than weekly attacks. Sixty-five patients (21%) reported having more than one attack per day. Demographic variables, attack-related variables, PNES associated factors, and use of AEDs were not significantly associated with attack frequency in the patients. Conclusion. We observed that two thirds of the patients with PNES had frequent daily or weekly attacks. The findings of our study could be helpful in designing future clinical trials. First, attack frequency is an unbiased outcome measure in the design of such studies. Second, it is easily measurable using attack calendars; we suggest that attack frequency be assessed daily using daily attack calendars. Finally, it is very easy to recruit patients with PNES for clinical trials (with regards to their attack frequency) since many of them have frequent attacks.     

Performance of patients with epilepsy or psychogenic non-epileptic seizures on four measures of effort

Exaggeration of cognitive symptoms or poor effort on cognitive testing has been addressed primarily in the traumatic brain injury literature. The present investigation aims to extend the evaluation of effort to the epilepsy monitoring setting, where base rates of failure on effort testing remain unknown for patients with intractable epilepsy (ES), psychogenic nonepileptic seizures (PNES), or both conditions (ES+PNES). In addition, this investigation explores how well four measures of effort (DMT, LMT, TOMM, PDRT) distinguish between these diagnostic groups. Results show that 20% of the combined sample failed one or more effort measure. When examining failure rates for each diagnostic group, 22% of epilepsy patients, 24% of PNES patients, and 11% of ES+PNES patients performed suboptimally on one or more measure of effort. The utility of these effort measures to differentiate between these diagnostic groups appears limited. Further research is needed to clarify the base rate of poor effort in the epilepsy monitoring unit setting in general and in these three diagnostic groups specifically.     

Somatization, dissociation and general psychopathology in patients with psychogenic non-epileptic seizures

The etiology of psychogenic non-epileptic seizures (PNES) remains uncertain. Previous studies have shown that PNES patients are characterized by high levels of somatization, dissociation and general psychopathology but a correlation of measures of these features and PNES severity or outcome has never been demonstrated, although this would strengthen a possible etiological link. This study measured somatization (Screening Test for Somatoform Symptoms-2), dissociation (Dissociative Experience Scale, DES), and general psychopathology (Symptom Checklist-90-Revised, SCL-90) in 98 patients with PNES and 63 patients with epilepsy. All mean scores were raised in the PNES compared to the epilepsy group. However, only measures of somatization and general psychopathology discriminated between patients with PNES and epilepsy in a logistic regression model (even when patient gender was controlled for). In PNES patients, high somatization scores correlated with poor outcome and greater seizure severity even after correction was made for dissociation and psychopathology. Dissociation and psychopathology scores were not independently associated with outcome or severity. The results suggest that, as a group, patients with PNES are best characterized by their tendency to express psychosocial distress by producing unexplained somatic symptoms which are brought to medical attention. Although dissociation may be relevant in some individuals it does not appear to be an independent factor across the whole PNES patient group.     

Psychiatric diagnoses of patients with psychogenic non-epileptic seizures.

OBJECTIVE: Our purpose was to present and discuss the psychiatric diagnoses of patients who presented psychogenic non-epileptic seizures (PNES) during video-electroencephalographic monitoring (VEEG). METHODS: Out of 98 patients, a total of 28 patients presented PNES during the diagnostic procedure. In those cases in which the PNES that occurred during VEEG were validated by clinical history (clinical validation), and by showing the recorded event on video to an observer close to the patient (observer validation), was defined psychogenic non-epileptic seizure disorder (PNESD). Psychiatric diagnoses were made according to DSM-IV. RESULTS: In 27, psychogenic non-epileptic seizures disorder was diagnosed. Fourteen patients presented only with psychogenic non-epileptic seizure disorder, 13 with both psychogenic non-epileptic seizures disorder and epilepsy, and one patient with epilepsy only. Psychiatric diagnoses were: 17 (63%) patients with conversion disorder, five (19%) with somatization disorder, two (7%) with dissociative disorder NOS, two (7%) with post-traumatic stress disorder and one (4%) with undifferentiated somatoform disorder. CONCLUSIONS: Dissociative-conversion non-epileptic seizures are the most frequent finding, representing the pseudoneurological manifestation of mental disorders that have these symptoms as a common feature. Provisionally, they may be defined as dissociative-conversion non-epileptic seizure disorders.     

Multidimensional assessment of personality in patients with psychogenic non-epileptic seizures

OBJECTIVES: To determine whether patients with psychogenic non-epileptic seizures (PNES) have evidence of maladaptive personality, and whether they have a single or several different typical pathological personality profiles. METHODS: Patients were recruited from the department of epileptology, Bonn, Germany. In all, 85 patients with PNES and 63 with epilepsy completed a postal questionnaire including the dimensional assessment of personality pathology - basic questionnaire (DAPP-BQ). The DAPP-BQ was also completed by 100 healthy volunteers. The groups were compared and the PNES group was subjected to cluster analysis. RESULTS: Patients with PNES had a greater degree of personality abnormality than clinical and non-clinical controls. There were several clusters of personality pathology. The profile of the largest cluster (n = 43) resembled that found in borderline personality disorder, that of the second largest (n = 37) was characterised by an overly controlled personality, that of the third (n = 4) was similar to the profile in avoidant personality disorder. Outcome differed between clusters. CONCLUSIONS: Maladaptive personality is common in patients with PNES. PNES are associated with several distinct profiles of pathological personality. This is relevant because outcome differed between profiles.     

Mortality in a cohort of patients with psychogenic non-epileptic seizures

Some evidence suggests that psychogenic non-epileptic seizures (PNES) are associated with increased mortality. The authors obtained death certificate information in a cohort of 260 patients who presented with PNES between 1999 and 2004. The follow-up period averaged 7.92 years, during which 17 patients died, 12/17 were under the age of 75 years, giving a premature (<75 years) mortality rate of 0.58%, compared with a Scottish mortality rate for the 40-75 years age group of 0.41% per year. The main predictor of death was the patient age at presentation of PNES. There was no correlation with withdrawal of anticonvulsant medication, and death certificate information provided no evidence to suggest that the deaths were related to the seizure disorder. The population had a high mean deprivation rank, providing a possible explanation for a modest increase in premature death rate.     

Patients with epilepsy and psychogenic non-epileptic seizures: an inpatient video-EEG monitoring study

Seizure and EEG characteristics of patients with epilepsy and concomitant psychogenic non-epileptic seizures (PNES) were compared to age and sex matched controls with epilepsy alone in a retrospective case control study. 39 patients with clearly documented epileptic and non-epileptic events were compared to 78 age and sex matched controls, sequentially admitted for video-EEG monitoring with documentation of epilepsy alone. Frontal seizures were higher in prevalence in patients with PNES who had concomitant epilepsy (P<0.001), while temporal seizures were higher in prevalence in patients with epilepsy alone (P<0.04). On regression analysis, the odds of having a frontal seizure was found to be significantly lower in the epilepsy alone group compared to the epilepsy+PNES group (odds ratio 0.13, 95% CI, 0.033-0.51). This significant association between frontal lobe epilepsy and PNES may be related to misattribution of frontal seizures for PNES events, or may reflect frontal lobe cortical dysfunction in this subgroup.     

Depression and epilepsy, pain and psychogenic non-epileptic seizures: clinical and therapeutic perspectives

The clinical manifestations of depression in people with epilepsy (PWE) are pleomorphic, often associated with anxiety symptoms and anxiety disorders. The ongoing debate of whether the clinical presentation of depression in PWE is unique to this neurologic disorder is reviewed. Comorbid depression can impact the recruitment of PWE for pharmacologic trials with antiepileptic drugs (AEDs). Yet, the impact of depression on the response of the seizure disorder to pharmacotherapy with AEDs and its impact on worse adverse events may bias the interpretation of the trial findings, particularly when depressed patients are included in the AED trials. PWE have a greater suicidal risk than the general population. This risk is mediated by multiple factors, and recent data from the FDA have imputed a potential pathogenic role to all AEDs. The recognition of patients at risk is reviewed. Yet, the validity of the FDA data has been questioned, and the status of this controversial question is analyzed. As in the case of epilepsy, depression and pain syndromes have a relatively high comorbidity. The negative impact of depression on pain is reminiscent of that of depression in PWE; furthermore, the high comorbidity may be also associated with the existence of common pathogenic mechanisms. Neurologists and in particular, epileptologists establish the diagnosis of psychogenic non-epileptic seizures (PNES) in whom a comorbid depressive disorder is very often identified. The role of depression in the course of PNES and its treatment are discussed. Scarce data are available on the treatment of depression in PWE. Thus, clinicians have had to adopt data from patients with primary depressive disorders. We outline a consensus strategy on the identification and treatment of depressive disorders in adult and pediatric patients with epilepsy.     

Juvenile and adult-onset psychogenic non-epileptic seizures

Purpose

Psychogenic non-epileptic seizures (PNES) tend to begin in adolescence and young adulthood, although the seizures can occur in a wide range of ages. In the current study, we investigated the age of onset in patients with PNES and tried to determine the correlation between the age of onset and the demographic and clinical characteristics and factors potentially predisposing to PNES.

Methods

In this cross-sectional study, all patients with a clinical diagnosis of PNES were recruited at the outpatient epilepsy clinic at Shiraz University of Medical Sciences from 2008 to 2012. We dichotomized the patients into two groups; those with age of onset below 18 years (juvenile), and those with age of onset at 18–55 years (adult-onset). We studied the demographic and clinical characteristics and factors potentially predisposing to PNES between these two groups. Statistical analyses were performed using Chi square and Fisher's Exact tests and Mann–Whitney U test.

Results

Fifty-seven patients with juvenile and 129 people with adult-onset PNES were studied. Demographic characteristics of these two groups were not different significantly. Seizure characteristics and semiology in these two groups were not significantly different either. However, factors potentially predisposing to PNES were significantly different between these two groups. History of being abused, academic failure, epilepsy or family history of epilepsy were more frequently observed in juvenile PNES, while medical comorbidities were more frequent among patients with adult-onset PNES.

Conclusion

Age of onset of PNES is not correlated with the clinical manifestations; however, factors potentially predisposing to PNES are significantly different in patients with juvenile compared to those with adult-onset PNES.     

Ictal injury in psychogenic non-epileptic seizures

PurposeWhilst ictal injuries in psychogenic non-epileptic seizures (PNES) have been reported previously, very few studies have described the spectrum of ictal injuries in these patients. In the current study, we tried to determine the spectrum of reported ictal injuries associated with PNES and to investigate the possible associated risk factors.MethodsAll patients with PNES were recruited prospectively in the outpatient epilepsy clinic at Shiraz University of Medical Sciences, between 2008 and 2013. The diagnosis was made by clinical assessment and ictal video-EEG recordings. We asked all patients and their caregivers about history of any minor (e.g., tongue biting, bruises, and lacerations) or major (e.g., burns and fractures) physical injuries associated with their seizures, since their disease started. Clinical variables, factors potentially predisposing to PNES and video-EEG recordings of all patients were analyzed.ResultsTwo hundred and eleven patients were studied. Sixty-five patients (30.8%) reported injuries with one or more of their attacks. The most common type of reported injury was tongue biting. Lacerations, bruises, limb fractures, dental injury, and burn were also reported.ConclusionPNES commonly produce physical injuries. Despite the shibboleth that injuries rarely occur during PNES, mild injuries commonly happen and even severe injuries such as fractures and burns are not uncommonly reported in these patients. Patients with more dramatic seizure manifestations (e.g., urinary incontinence) were more likely to report ictal injuries.