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.     

The aetiology of psychogenic non‐epileptic seizures: risk factors and comorbidities

Psychogenic non‐epileptic seizures (PNES), also known as dissociative seizures, are paroxysms of altered subjective experience, involuntary movements and reduced self‐control that can resemble epileptic seizures, but have distinct clinical characteristics and a complex neuropsychiatric aetiology. They are common, accounting for over 10% of seizure emergencies and around 30% of cases in tertiary epilepsy units, but the diagnosis is often missed or delayed. The recently proposed “integrative cognitive model” accommodates current research on experiential, psychological and biological risk factors for the development of PNES, but in view of the considerable heterogeneity of presentations and medical context, it is not certain that a universal model can capture the full range of PNES manifestations. This narrative review addresses key learning objectives of the ILAE curriculum by describing the demographic profile, common risk factors (such as trauma or acute stress) and comorbid disorders (such as other dissociative and functional disorders, post‐traumatic stress disorder, depressive and anxiety disorders, personality disorders, comorbid epilepsy, head injury, cognitive and sleep problems, migraine, pain, and asthma). The clinical implications of demographic and aetiological factors for diagnosis and treatment planning are addressed.     

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.     

Psychogenic non epileptic seizures: a review

Objective

This paper summarizes the recent literature on the phenomena of psychogenic non epileptic seizures (PNES).

Definition and epidemiology

PNES are, as altered movement, sensation or experience, similar to epilepsy, but caused by a psychological process. Although in the ICD-10, PNES belong to the group of dissociative disorders, they are classified as somatoform disorders in the DSM-IV. That represents a challenging diagnosis: the mean latency between manifestations and diagnosis remains as long as 7 years. It has been estimated that between 10 and 30% of patients referred to epilepsy centers have paroxysmal events that despite looking like epileptic episodes are in fact non-epileptic. Many pseudo epileptic seizures have received the wrong diagnosis of epilepsy being treated with anticonvulsants. The prevalence of epilepsy in PNES patients is higher than in the general population and epilepsy may be a risk factor for PNES. It has been considered that 65 to 80% of PNES patients are young females but a new old men subgroup has been recently described.

Positive diagnosis and psychiatric comorbidities

Even if clinical characteristics of seizures were defined as important in the diagnosis algorithm, this point of view could be inadequate because of its lack of sensitivity. Because neuron-specific enolase, prolactin and creatine kinase are not reliable and able to validate the diagnosis, video electroencephalography monitoring (with or without provocative techniques) is currently the gold standard for the differential diagnosis of ES, and PNES patients with pseudoseizures have high rates of psychiatric disorders such as depression, anxiety, somatoform symptoms, dissociative disorders and post-traumatic stress disorder. We found evidence for correlations between childhood trauma, history of childhood abuse, PTSD, and PNES diagnoses. PNES could also be hypothesized of a dissociative phenomena generated by childhood trauma.

Pathophysiology

Some authors report that PNES can be associated with a physical brain disorder playing a role in their development: head injury may contribute to the pathogenesis of PNES. New-onset psychogenic seizures after resective epilepsy surgery or other intracranial neurosurgery have been described. Recent studies found psychogenic seizure disorders associated with brain pathology in the right hemisphere, non specific interictal electroencephalography abnormalities, magnetic resonance imaging changes and neuropsychological deficits. However, complex partial seizures of frontal origin might present similar characteristics with PNES and could be confused with the latter.

Prognosis and treatment

There is actually no clear agreement as the best treatment plan for PNES patients. The PNES diagnosis has to be clearly communicated to the patient. Nevertheless, even after a correct diagnosis is made a high proportion of PNES patients continue to have seizures, serious disability and bad self-reported quality of life. Furthermore, seizure remission cannot be considered a comprehensive measure of medical or psychosocial outcome. Nearly half of the patients who become seizure free remain unproductive and many of these patients continue to have symptoms of psychopathology including other somatoform, depressive, and anxiety disorders. Even if psychiatric comorbidities have to be treated by a psychiatrist? who could also suggest a psychotherapy, in all cases the importance of a neurologist continuing to follow post-diagnosis PNES patients is essential.

Conclusions

PNES is a diagnostic and therapeutic challenge that is costly to patients and to society at large. Further studies are needed to understand this dissociative psychiatric disorder and to propose therapeutic guidelines.     

Fear sensitivity and the psychological profile of patients with psychogenic nonepileptic seizures

Psychogenic nonepileptic seizures (PNES) remain a poorly understood phenomenon for both patients and their physicians. Recent work has begun to focus on the possible psychological underpinnings of this diagnosis, but few studies have focused on specific emotional pathologies. This study sought to investigate the impact of a specific emotional measure: self-reported fear sensitivity. Three patient groups (patients with PNES, patients with epilepsy, and healthy volunteers) were administered the Modified Fear Survey Schedule, along with other neuropsychological batteries. As expected, the PNES and epilepsy cohorts demonstrated elevated levels of depression, anxiety, and comorbid psychiatric conditions. The PNES group independently exhibited a statistically significant higher level of fear sensitivity compared with both patients with epilepsy and healthy volunteers. This fear-specific trait was independent of other comorbid psychological factors or psychiatric conditions. These results suggest that patients with PNES exhibit disproportionately elevated fear sensitivity on self-report measures when compared with patients with epilepsy. This finding may reflect an elevated internal "setpoint" for appraising the intensity of emotional settings.     

Heart rate variability measures as biomarkers in patients with psychogenic nonepileptic seizures: potential and limitations

Heart rate variability (HRV) metrics provide reliable information about the functioning of the autonomic nervous system (ANS) and have been discussed as biomarkers in anxiety and personality disorders. We wanted to explore the potential of various HRV metrics (VLF, LF, HF, SDNN, RMSSD, cardiovagal index, cardiosympathetic index, approximate entropy) as biomarkers in patients with psychogenic nonepileptic seizures (PNES). HRV parameters were extracted from 3-minute resting single-lead ECGs of 129 subjects (52 with PNES, 42 with refractory epilepsy and 35 age-matched healthy controls). Compared with healthy controls, both patient groups had reduced HRV (all measures P < 0.03). Binary logistic regression analyses yielded significant models differentiating between healthy controls and patients with PNES or patients with epilepsy (correctly classifying 86.2 and 93.5% of cases, respectively), but not between patients with PNES and those with epilepsy. Interictal resting parasympathetic activity and sympathetic activity differ between healthy controls and patients with PNES or those with epilepsy. However, resting HRV measures do not differentiate between patients with PNES and those with epilepsy.     

Heart rate variability measures as biomarkers in patients with psychogenic nonepileptic seizures: Potential and limitations

Heart rate variability (HRV) metrics provide reliable information about the functioning of the autonomic nervous system (ANS) and have been discussed as biomarkers in anxiety and personality disorders. We wanted to explore the potential of various HRV metrics (VLF, LF, HF, SDNN, RMSSD, cardiovagal index, cardiosympathetic index, approximate entropy) as biomarkers in patients with psychogenic nonepileptic seizures (PNES). HRV parameters were extracted from 3-minute resting single-lead ECGs of 129 subjects (52 with PNES, 42 with refractory epilepsy and 35 age-matched healthy controls). Compared with healthy controls, both patient groups had reduced HRV (all measures P < 0.03). Binary logistic regression analyses yielded significant models differentiating between healthy controls and patients with PNES or patients with epilepsy (correctly classifying 86.2 and 93.5% of cases, respectively), but not between patients with PNES and those with epilepsy. Interictal resting parasympathetic activity and sympathetic activity differ between healthy controls and patients with PNES or those with epilepsy. However, resting HRV measures do not differentiate between patients with PNES and those with epilepsy.     

Psychogenic nonepileptic seizures: review and update

The population incidence of psychogenic nonepileptic seizures (PNES) may be only 4% that of epilepsy, but many patients with PNES have a tendency to seek medical attention, and PNES make up a larger share of the workload of neurologists and emergency and general physicians. Although a great number of publications describe how PNES can be distinguished from epileptic seizures, it usually takes several years to arrive at this diagnosis, and three-quarters of patients (with no additional epilepsy) are treated with anticonvulsants initially. However, the management of PNES as epileptic seizures can lead to significant iatrogenic harm. Moreover, the failure to recognize the psychological cause of the disorder detracts from addressing associated psychopathology and enhances secondary somatization processes. This review provides an overview of studies of the diagnosis, etiology, treatment, and prognosis of PNES. Physicians should always consider PNES in the differential diagnosis of a seizure disorder. If a diagnosis of PNES is possible, or a diagnosis of epilepsy in doubt, a clear diagnostic categorization should be sought. This should involve the assessment of the patient by a physician versed in the diagnosis of seizure disorders and, in many cases, the documentation of a typical seizure by video-EEG. Outcome may be improved if the diagnosis is more actively sought, made earlier, and communicated more convincingly.     

Psychiatric comorbidity and hostility in patients with psychogenic nonepileptic seizures compared with somatoform disorders and healthy controls

PURPOSE: To investigate the prevalence of psychiatric comorbidity and level of anxiety, depression, and aggression in patients with psychogenic nonepileptic seizures compared with those in patients with somatoform disorders and healthy controls. METHODS: Twenty-three patients with psychogenic nonepileptic seizures (PNESs) and 23 age- and sex-matched patients with somatoform disorders (SDs) underwent a clinical and a semistructured psychiatric interview (MINI) and filled in the Hospital Anxiety and Depression scale (HAD) and the Aggression Questionnaire (AQ). Twenty-three sex- and age-matched controls without psychopathology also underwent a clinical interview and completed the HAD and AQ. RESULTS: PNES reported more minor head injuries in the past than did the two comparison groups, and more unspecific EEG dysrhythmias were observed on EEG. Twenty-one PNES patients and 18 with SDs had comorbid psychiatric diagnoses. However, the mean number of comorbid psychiatric diagnoses was higher in the PNES group (1.9 +/- 0.3 compared with 1.5 +/- 0.5 in the SD group; p = 0.003). Ten PNES patients additionally had a somatoform pain disorder, and seven had an undifferentiated somatoform disorder. Both patient groups reported significantly higher levels of anxiety, depression, and anger than did the healthy controls, but the PNES patients had significantly higher level of hostility than both comparison groups. CONCLUSIONS: Increased psychiatric comorbidity is known to be associated with poorer response to regular interventions, and hostility is associated with more hostile coping patterns, often interfering with treatment compliance. Thus the increased prevalence of soft neurologic signs and comorbid psychiatric disorders and increased hostility as well in the PNES group, emphasizes that assessment and treatment of patients with PNES referred to a tertiary center requires an integrated approach involving both neurologic and psychiatric resources.     

Lamotrigine treatment of a patient affected by epilepsy and anxiety disorder

Epilepsy often occurs in comorbidity with mental diseases and disorders. Early detection and/or treatment of such disorders in patients affected by epilepsy, as well as their socialisation are crucially important since epileptic patients tend to suffer more due to lack of social support than to frequent epileptic seizures. Prevalence of psychiatric disorders is higher in patients with epilepsy than in general population, the most frequent being: anxiety, depression, panic attacks, behavioural disorders as well as psychotic states with paranoid elements. The efficacy of AE treatment of patients affected by epilepsy and mood disorders has also directed clinicians to investigate possible AE benefits in treating other mental disorders such as anxiety states, depression and bipolar disorder. The examined case displays complex partial epilepsy and comorbid mental disorder. The use of lamotrigine, a fourth-generation antiepileptic, which is also a mood stabilizer, has assured a favourable remission of symptoms related to both epilepsy and mood disorders. Side-effects caused by lamotrigine were only temporary and dose reduction was sufficient to eliminate their symptoms.     

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”.     

Using personality disorders to distinguish between patients with psychogenic nonepileptic seizures and those with epileptic seizures

Identifying psychiatric disorders rather than psychiatric symptoms might help to distinguish patients with psychogenic nonepileptic seizures (PNES) from those with epileptic seizures (ES). Patients with PNES (n=35), patients with ES (n=35), and healthy controls (n=37) were compared with respect to the prevalence of psychiatric disorders in this study. We tested the predictive power of having axis I psychiatric disorders, as well as personality disorders, in distinguishing ES from PNES. There was no significant difference between the patient groups in the prevalence of axis I psychiatric disorders. Personality disorders were more prevalent in the PNES group than in the ES group (P<0.05). Having a personality disorder was the only predictor for the PNES group. Having a personality disorder seems to be a more significant predictor for PNES than having an axis I psychiatric disorder. Greater attention should be paid to personality disorders in the differentiation of PNES and ES and the provision of effective treatment.     

An analysis of quality of life (QOL) in patients with epilepsy and comorbid psychogenic nonepileptic seizures (PNES) after vagus nerve stimulation (VNS)

PurposePatients with epilepsy (PWE) may suffer from comorbid psychogenic nonepileptic seizures (PNES). The efficacy of vagus nerve stimulation (VNS) in the treatment of epilepsy and depression is established, however the impact on PNES is unknown. Since many patients with PNES have comorbid depression, we explored the impact on quality of life (QOL) that VNS has on PWE and PNES.MethodsThe video electroencephalogram (vEEG) of all patients who underwent VNS at our institution was reviewed. Patients diagnosed with both psychogenic seizures and epileptic seizures on their vEEG were included in this study. These patients were contacted, and given a QOLIE-31 survey to assess their quality of life after VNS. Patients also completed a separate survey created by our group to categorize the quartile of their improvement. Pre-operative psychiatric disease was retrospectively reviewed.ResultsFrom a period of 2001 to 2016, 518 patients underwent placement of VNS for drug resistant epilepsy (DRE) at our institution. In total, 16 patients were diagnosed with both epilepsy and PNES. 11/16 patients responded to our questionnaire and survey. 9 out of 11 patients felt that their epileptic seizures had improved after VNS, while 7 of the 11 patients felt that their psychogenic episodes had improved. 2(28.6%), 1 (14.3%), and 4 (57.1%) of participants said their PNES improved by 25–50%, 50–75%, and 75–100%, respectively. 3(27.3%), 3 (27.3%), 1 (9.1%), and 4 (36.4%) of the participants said their epileptic seizures improved by 0–25%, 25–50%, 50–75%, and 75–100%, respectively. The average overall score for quality of life for the study participants was found to be 51 (± 8) out of 100.ConclusionPatients with epilepsy and comorbid PNES may benefit from VNS. It is unclear whether the benefit is conferred strictly from decreased epileptic seizure burden. The possible effect on PNES may be related to the known effect of VNS on depression. Further studies are necessary to elucidate the role of VNS in the treatment of PNES and possibly other psychiatric disease.     

Comparison of heart rate variability parameters during complex partial seizures and psychogenic nonepileptic seizures

Purpose: Psychogenic nonepileptic seizures (PNES) superficially resemble epileptic seizures. Little is known about ictal autonomic nervous system (ANS) activity changes in epilepsy and PNES. This study compares ictal heart rate variability (HRV) parameters as a reflection of ANS tone in epileptic seizures and PNES, and explores differences between interictal and ictal ANS tone in both patient groups. Methods: Ictal HRV parameters were extracted from single‐lead electrocardiography (ECG) data collected during video–electroencephalography (EEG) recordings of 26 patients with medically refractory temporal lobe epilepsy and 24 age‐ and sex‐matched patients with PNES. One seizure per patient in a resting, wake, supine state was analyzed. Interictal ECG data were available for comparison from 14 patients in both groups. HRV parameters in time and frequency domains were analyzed (low frequency [LF], high frequency [HF], standard deviation of all consecutive normal R wave intervals [SDNN], square root of the mean of the sum of the squares of differences between adjacent normal R wave intervals [RMSSD]). CVI (cardiovagal index), CSI (cardiosympathetic index), and ApEn (approximate entropy) were calculated from Lorenz plots. Key Findings: There were significant differences between ictal HRV measures during epileptic and nonepileptic seizures in the time and frequency domains. CSI (p < 0.001) was higher in epileptic seizures. Time interval between two consecutive R waves in the ECG (RR interval) (p = 0.002), LF (p = 0.02), HF (p = 0.003), and RMSSD (p = 0.003) were significantly lower during epileptic seizures. Binary logistic regression yielded a significant model based on the differences in CSI classifying 88% of patients with epilepsy and 73% of patients with PNES correctly. The comparison between resting and ictal states in both seizure disorders revealed significant differences in RR interval (epilepsy p < 0.001, PNES p = 0.01), CSI (epilepsy p < 0.001, PNES p = 0.02), HF (epilepsy p = 0.002, PNES p = 0.03), and RMSSD (epilepsy p = 0.004, PNES p = 0.04). In patients with epilepsy there were also significant differences in ictal versus interictal mean values of ApEn (p = 0.03) and LF (p = 0.04). Although CSI was significantly higher, the other parameters were lower during the seizures. Stepwise binary regression in the 14 patients with epilepsy produced a significant model differentiating resting state from seizures in 100% of cases. The same statistical approach did not yield a significant model in the PNES group. Significance: Our results show greater ANS activation in epileptic seizures than in PNES. The biggest ictal HRV changes associated with epileptic seizures (CSI, HF, and RMSSD) reflect high sympathetic system activation and reduced vagal tone. The reduced ApEn also reflects a high sympathetic tone. The observed ictal alterations of HRV patterns may be a more specific marker of epileptic seizures than heart rate changes alone. These altered HRV patterns could be used to detect seizures and also to differentiate epileptic seizures from PNES. Larger studies are justified with intergroup and intragroup comparisons between ictal and resting states.     

Pediatric psychogenic nonepileptic seizures: A study of assessment tools

The goal of this study was to identify assessment tools and associated behavioral domains that differentiate children with psychogenic nonepileptic seizures (PNES) from those with epilepsy. A sample of 24 children with PNES (mean age 14.0 years, 14 female), 24 children with epilepsy (mean age 13.6 years, 13 female), and their parents were recruited from five epilepsy centers in the United States. Participants completed a battery of behavioral questionnaires including somatization, anxiety, and functional disability symptoms. Children with PNES had significantly higher scores on the Childhood Somatization and Functional Disability Inventories, and their parents reported more somatic problems on the Child Behavior Checklist (CBCL). Depression, anxiety, and alexithymia instruments did not differentiate the groups. Measures of somatization and functional disability may be promising tools for differentiating the behavioral profile of PNES from that of epilepsy. Increased somatic awareness and perceived disability emphasize the similarity of PNES to other pediatric somatoform disorders.     

Seizure disorders, depression, and health-related quality of life

Disease and mood states are important determinants of quality of life (QOL). Low QOL, due to mood states, can be expected especially in psychiatric disorders such as depression. However, patients with seizure disorders may be even more affected because of the combined burden of physical episodes, psychiatric comorbidities, and psychosocial factors (e.g., stigma). In this study, we compare the quality of life in seizure disorders and clinical depression. Based on our earlier findings, we hypothesize that epilepsy patients fare better than patients with psychogenic, nonepileptic seizures (PNES), and we speculate that QOL in PNES is also lower relative to clinical depression. We estimate the relationships between type of seizures (epilepsy vs PNES), depression, and QOL (SF-36) using multiple regression, and we compare the SF-36 scores of patients with epilepsy and PNES (n=194) with the normative data for clinical depression using one-sample t tests. Our findings indicate that depression contributes to the poor QOL in both epilepsy and PNES, but the patients with PNES, even those without depression, have worse QOL compared with both the epilepsy patients and the depression norms. We conclude that evaluating and treating mood states is as important as treating PNES itself when caring for patients with PNES, and it might be the first step toward improving their QOL.     

Psychopathologies in patients with nonepileptic seizures with and without comorbid epilepsy: how different are they?

The underlying psychopathology in patients with nonepileptic seizures (NES) is diverse and poorly understood. The prevalence of epilepsy in NES patients is higher than in the general population, so epilepsy can be understood as a risk factor for NES. The question emerges if psychopathology differs in NES patients with and without epilepsy. Retrospective data concerning psychopathology and personality in both groups show two differences: (1) somatoform disorders are more prevalent in NES-only patients and (2) personality disorders are more typical in NES patients with epilepsy and resemble the pattern of psychopathology found in epilepsy-only patients. If true, then NES in epilepsy patients may be associated with an epilepsy condition. Consequently, in studies of psychopathology in epilepsy patients, patients with comorbid nonepileptic seizures have to be included.     

Personality Assessment Inventory among patients with psychogenic seizures and those with epilepsy

The Personality Assessment Inventory (PAI) is a widely used self-report questionnaire designed to detect and quantify dimensions of adult psychopathology. Previous studies that examined the ability of the PAI to differentiate between patients with psychogenic nonepileptic seizures (PNES) and those with epilepsy (EPIL) have yielded inconsistent results. We compared the full PAI profiles of 62 patients with PNES, 55 with EPIL, and 45 normal control (NC) participants to determine the diagnostic accuracy of the PAI. We also sought to highlight psychopathologic symptoms that may inform psychological treatment of patients with PNES or epilepsy. PNES and EPIL patients reported more somatic concerns and symptoms of anxiety and depression than did NC persons. PNES patients reported more unusual somatic symptoms, as well as greater physical symptoms of anxiety and depression than did patients with EPIL. Classification accuracy of the "NES Indicator" was not much better than chance, whereas the Conversion subscale alone had reasonable sensitivity (74%) and specificity (67%). Overall, the PAI demonstrated only moderate classification accuracy in an epilepsy monitoring unit sample. However, the inventory appears to identify specific psychopathological symptoms that may be targets of psychological/psychiatric intervention.     

The neurologist,psychogenic nonepileptic seizures,and borderline personality disorder

Patients with psychogenic nonepileptic seizures (PNES) are common in tertiary epilepsy centers, emergency departments, and neurological practices. Psychiatric discussion of patients with PNES has emphasized the role of trauma and dissociation. Personality disorder has been considered, but its extensive implications for neurological management have not been fully appreciated. We propose that the most difficult aspects of management stem not from the convulsive episodes, but from the personality disorder that frequently accompanies them. Although it is not the neurologist’s role to treat personality disorder, the conduct of the physician–patient relationship can have potent consequences for good or ill on the outcome. We present a brief guide to current concepts of personality disorder; discuss the literature concerning its association with PNES, and offer practical guidelines for the conduct of the neurologist–patient relationship. This perspective offers resolutions to longstanding controversies, including how to communicate the diagnosis, discontinuing medication, and ongoing neurological contact.