Evidence of brain abnormality in patients with psychogenic nonepileptic seizures

Neuropsychological profile of psychogenic jerky movement disorders: importance of evaluating non-credible cognitive performance and psychopathology

BACKGROUND

Psychogenic movement disorders are disorders of movements that cannot be explained by a known neurological disorder and are assumed to be associated with psychiatric symptoms such as depression and anxiety.

OBJECTIVE

To examine the neuropsychological profile of patients with psychogenic movement disorders.

METHODS

We examined cognitive functioning using neuropsychological tests in 26 patients with clinically established psychogenic jerky movement disorders (PMD). We included 16 patients with Gilles de la Tourette syndrome (GTS) who served as a patient control group, in addition to 22 healthy control subjects. Non-credible test performance was detected using a Symptom Validity Test (SVT). Psychopathology was also assessed.

RESULTS

Apart from a worse performance on a verbal memory task, no evidence of neuropsychological impairments was found in our PMD sample. Interestingly however, patients with PMD reported more cognitive complaints in daily life and performed worse on the SVT than the two other groups. Patients with GTS did not report, or show, cognitive impairments. In patients with PMD, we found associations between verbal learning, SVT performance and severity of depression and anxiety complaints.

CONCLUSIONS

We conclude that some patients with PMD show non-credible cognitive symptoms. In contrast, no evident cognitive impairments were present in patients with PMD or GTS. Our study underlines the importance of assessment of non-credible response in patients with PMD. Additionally, non-credible response might aid in the differentiation of PMD from other movement disorders.

Computer-Aided Diagnosis and Localization of Lateralized Temporal Lobe Epilepsy Using Interictal FDG-PET

Interictal FDG-PET (iPET) is a core tool for localizing the epileptogenic focus, potentially before structural MRI, that does not require rare and transient epileptiform discharges or seizures on EEG. The visual interpretation of iPET is challenging and requires years of epilepsy-specific expertise. We have developed an automated computer-aided diagnostic (CAD) tool that has the potential to work both independent of and synergistically with expert analysis. Our tool operates on distributed metabolic changes across the whole brain measured by iPET to both diagnose and lateralize temporal lobe epilepsy (TLE). When diagnosing left TLE (LTLE) or right TLE (RTLE) vs. non-epileptic seizures (NES), our accuracy in reproducing the results of the gold standard long term video-EEG monitoring was 82% [95% confidence interval (CI) 69-90%] or 88% (95% CI 76-94%), respectively. The classifier that both diagnosed and lateralized the disease had overall accuracy of 76% (95% CI 66-84%), where 89% (95% CI 77-96%) of patients correctly identified with epilepsy were correctly lateralized. When identifying LTLE, our CAD tool utilized metabolic changes across the entire brain. By contrast, only temporal regions and the right frontal lobe cortex, were needed to identify RTLE accurately, a finding consistent with clinical observations and indicative of a potential pathophysiological difference between RTLE and LTLE. The goal of CADs is to complement - not replace - expert analysis. In our dataset, the accuracy of manual analysis (MA) of iPET (∼80%) was similar to CAD. The square correlation between our CAD tool and MA, however, was only 30%, indicating that our CAD tool does not recreate MA. The addition of clinical information to our CAD, however, did not substantively change performance. These results suggest that automated analysis might provide clinically valuable information to focus treatment more effectively.

Subgroup classification in patients with psychogenic non-epileptic seizures

INTRODUCTION

In 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.

METHODS

Forty 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.

RESULTS

The 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'.

CONCLUSION

Using 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.

Catastrophising and normalising in patient's accounts of their seizure experiences

PURPOSE

To extend our previous research demonstrating that linguistic/interactional features in patients' talk can assist the challenging differential diagnosis of epilepsy and psychogenic nonepileptic seizures (PNES) by exploring the differential diagnostic potential of references to non co-present persons (third parties).

METHOD

Initial encounters were recorded between 20 seizure patients (13 with PNES, seven with epilepsy) who were subsequently diagnosed by the recording of typical seizures with video-EEG. An analyst blinded to the medical diagnoses coded and analysed transcripts.

RESULTS

There were no significant differences between the two diagnostic groups in terms of the total number of third party references or references made spontaneously by patients without prompting from the doctor. However, patients with PNES made significantly more prompted references to third parties (p=0.022). 'Castrophising' third party references were made in 12/13 (92.3%) of encounters with PNES patients and 1/7 (14.3%) of encounters with epilepsy patients (p=0.001, OR 72, 95% CI=3.8-1361.9). Normalising references were identified in 2/13 (15.4%) of encounters in the PNES and 6/7 (85.7%) of encounters in the epilepsy groups (p=0.004, OR 33, 95% CI=2.5-443.6).

CONCLUSION

There are significant differences in how patients with epilepsy or patients with PNES refer to third parties. Patients with PNES are more likely to be prompted to tell doctors what others have told them about their seizures. Patients using third party references to catastrophise their seizure experiences are more likely to have PNES, whilst patients who use third party references to normalise their life with seizures are more likely to have epilepsy.

Psychogenic nonepileptic seizures: a current overview

Psychogenic nonepileptic seizures (PNES) resemble epilepsy, but no pathophysiological explanation has been established. Although there have been recent advances in PNES research and various hypotheses as to the psychopathology, no theory has achieved general acceptance. In this overview of selected literature on PNES, we highlight the often contradictory findings that underline the challenges that confront both practitioner and researcher. We first provide a synopsis of the history, diagnosis, treatment, and outcomes, as well as patient characteristics of PNES and the relevance of communication in the clinical context. In the subsequent sections we discuss recent research that may advance the understanding and diagnosis of this disorder. These themes include the use of qualitative methods as a viable research option, the application of nonlinear methods to analyze heterogeneous observations during diagnosis, recent advances in neuroimaging of PNES, and the development of international databases.

Psychogenic non-epileptic seizures: our video-EEG experience

OBJECTIVE

The aim of our study was to assess the number of psychogenic non-epileptic seizures (PNES) in our patients with a refractory seizure disorder, to determine the 'typical' PNES semiology using video-EEG monitoring and describe other PNES parameters.

METHODS

We evaluated prospectively 596 patients with pharmacoresistant seizures. All these patients underwent continuous video-EEG monitoring. In consenting patients, we used suggestive seizure provocation. We assessed seizure semiology, interictal EEG, brain MRI, psychiatric co-morbidities, personality profiles, and seizure outcome.

RESULTS

In the sample of 596 monitored patients, we detected 111 (19.3%) patients with PNES. Of the 111 patients with PNES, 86.5% had spontaneous and 76.5% had provoked seizures. The five most typical symptoms were: initially closed eyelids (67.6%), rapid tremor (47.7%), asynchronous limb movement (37.8%), preictal pseudosleep (33.3%), and side-to-side head movement (32.4%). Interictal EEG was rated as abnormal in 46.2% and with epileptiform abnormality in 9%. Brain MRI was abnormal in 32 (28.8%) patients. Personality disorders (46.8%), anxiety (39.6%), and depression (12.6%) were the most frequent additional psychiatric co-morbidities. PNES outcome after at least 2 years is reported; 22.5% patients was seizure-free; one-third had markedly reduced seizure frequency. We have not seen any negative impact of the provocative testing on the seizure outcome.

DISCUSSION

Video-EEG monitoring with suggestive seizure provocation supported by clinical psychiatric and psychological evaluation significantly contributes to the correct PNES diagnosis, while interictal EEG and brain MRI are frequently abnormal. Symptoms typical for PNES, as opposed to epileptic seizures, could be distinguished.

Psychogenic non-epileptic seizures: a challenging entity

Psychogenic non-epileptic seizures (PNES) are commonly encountered in neurologic practice. They are often misdiagnosed as epileptic seizures and treated as such for several years before a correct diagnosis is established. Such a misdiagnosis has the potential to expose patients to undue risk through several anti-epileptic drugs (AEDs). Patients are also affected in other ways, such as by financial consequences and the limitation of certain daily activities. In this review, we present the contemporary opinion of PNES with attention to clinically relevant salient features and management strategies.

Identification of three distinct groups of patients with both epilepsy and psychogenic nonepileptic seizures

Psychogenic nonepileptic seizures (PNES) can be observed in patients with or without epilepsy (mixed and pure PNES). Patients with mixed PNES are usually considered to be a homogeneous group characterized by the coexistent epilepsy. Our study found that patients with mixed PNES were not homogeneous, but could be divided into three groups based on epilepsy type, mental level, comorbid psychiatric disorders, and history of traumatic experiences. Group 1 patients have pharmacoresistant epilepsy, normal cognition, and comorbid anxiety and/or depressive disorders. Here, PNES etiology is the epilepsy-related problems. In group 2 patients, the epilepsy is associated with mental retardation and dependent personality traits. PNES etiology is represented by the reduction or cessation of seizures. The PNES allow patients to continue receiving attention from caregivers. Group 3 patients have epilepsy, normal cognition, comorbid cluster B personality disorders and anxiety disorders, and psychic trauma. Here, PNES etiology is not related to the epilepsy, but to the psychic trauma.

Neuropsychological characteristics of nonepileptic seizure semiological subgroups

The present study sought to identify neuropsychological characteristics of patients with nonepileptic seizures (NESs) based on seizure semiological subgroups and to make comparisons among NES subgroups and with patients with temporal lobe epilepsy (TLE). A total of 173 patients with NESs and 180 patients with TLE were included in this study. Statistical comparisons were made between a NES four-subgroup model, a NES two-subgroup model, and patients with TLE on neurocognitive measures. A trend toward declining performance was noted across the subjective, catatonic, minor motor, and major motor subgroups, respectively. The nonmotor subgroup showed stronger performance on verbal intelligence, naming, verbal learning, and verbal memory compared with the TLE group. The motor subgroup generally performed equivalently to the patients with TLE. Results indicate that patients with more dramatic seizure semiology appear to have lower neurocognitive functioning at a level comparable to that of patients with TLE. Patients with NESs with the least dramatic semiology appear to have fewer neurocognitive abnormalities.

Psychogenic seizures: A review and description of pitfalls in their acute diagnosis and management in the emergency department

Patients with psychogenic (nonepileptic) seizures (PS) are frequently encountered by clinicians in the emergency medicine setting. Despite the tendency for these patients to seek frequent medical attention, the time between onset of symptoms and diagnosis is often more than 7 years. The cause of PS is multifactorial, but most patients are thought to have an underlying dissociative condition. The diagnostic evaluation in the emergency department is challenging and relies heavily on clinical suspicion, based on historical and physical features. Laboratory testing and therapeutic maneuvers are of limited utility; prolonged video electroencephalography is the diagnostic gold standard. Once the diagnosis has been secured, the mainstay of treatment involves addressing the underlying psychological distress.

Usefulness of Video-EEG monitoring in patients with drug-resistant epilepsy

OBJECTIVE

To evaluate the characteristics of patients on whom long-term Video-EEG monitoring is performed in a specialist centre and to assess its suitability to study refractory epilepsy patients.

METHODS

A prospective analysis and study of Video-EEG monitoring was performed in a series of 100 refractory epilepsy patients from a single centre. The analysis included demographic data, the time until the first seizure, the methods used to provoke seizures, and the outcome (usefulness, change in the management, pharmacological and surgical improvement). A subgroup analysis based on diagnosis was performed.

RESULTS

The study was performed mainly on young people (mean 34.4 years) and the first seizure appeared in a mean of 30hours, requiring most of the patients to withdraw the medication. Nevertheless, there were no cases of status epilepticus. The usefulness of the test was high in all the groups. The management was changed in 65% of the patients with pharmacological and surgical improvement.

CONCLUSION

Long-term Video-EEG monitoring is a suitable test to study refractory epilepsy patients. The main problem in our country is accesibility.

Clinical characteristics and outcome in patients with psychogenic nonepileptic seizures

OBJECTIVES

To examine baseline clinical features of psychogenic nonepileptic seizures (PNES) in a large cohort and to investigate outcome over a period of up to 10 years. Studies investigating PNES have been limited by differences in diagnostic criteria, short follow-up periods, and the use of limited outcome measures.

METHOD

Patients with PNES were identified, using strict diagnostic criteria. Baseline neurological, neuropsychiatric, and neuroimaging data were obtained from medical records. Long-term outcome was assessed with ratings of seizures, psychopathology, and quality of life in a subset of the patients.

RESULTS

Patients with PNES (n = 221) experienced long delays in diagnosis (mu, 5.6 years; standard deviation, 7.7 years) and high rates (>60%) of prolonged treatment with antiepileptic drugs. Compared with previous studies, a relatively low proportion (8.1% to 17.9%, depending on diagnostic criteria) had comorbid epilepsy. An unexpected finding was that 22.6% of PNES patients had magnetic resonance imaging abnormalities. Patients assessed at follow-up (n = 61) exhibited poor long-term outcomes with ongoing PNES, high rates of psychopathology, low rates of specialist follow-up, poor quality of life, and poor overall levels of functioning.

CONCLUSIONS

These results demonstrate the need for earlier diagnosis of PNES and comorbidities and highlight the need for diagnostic and therapeutic approaches that combine neurological and psychiatric perspectives.

Heterogeneity in psychogenic nonepileptic seizures: understanding the role of psychiatric and neurological factors

Multiple psychiatric and neurological factors in patients with psychogenic nonepileptic seizures (PNES) highlight the heterogeneity of this population. Forty-four individuals with PNES were evaluated and divided into groups based on psychiatric and neurological morbidity. Groups were then examined to determine how they differed in terms of clinical presentation, semiology, level of dysfunction, severity of psychopathology, and specific psychiatric and neurological conditions. Individuals with neurological morbidity more frequently displayed sound production during their events. Factors relevant to treatment planning such as psychiatric conditions, psychopathology severity, and dysfunction level did not differ between the group with neurological morbidity and the group without significant psychiatric or neurological morbidity. Patients with significant psychiatric impairment had more frequent dissociative experiences, higher levels of dysfunction, and more frequent trauma-related diagnoses. Dysfunction was positively associated with depression severity and stress. Subgroups of patients with PNES based on their neurological and psychiatric morbidity manifest differences that might inform treatment.

[Psychogenic non-epileptic seizures]

BACKGROUND

Psychogenic non-epileptic seizure is the term used for epilepsy-like seizures assumed to have psychological causes. Many patients with such seizures are misdiagnosed with epilepsy, and are consequently treated with antiepileptic drugs for many years. Assessment of a thorough medical history and ictal EEG-recordings will lead to the right diagnosis in most cases. The article provides an overview of this condition, which often represents large diagnostic and therapeutic challenges and is the most frequent differential diagnosis in epilepsy.

MATERIAL AND METHODS

The article is based on literature identified through a non-systematic search in PubMed up to January 2009.

RESULTS

Much literature is available in the field. 10-20 % of those referred to epilepsy centers because of therapy-resistant epilepsy, have psychogenic non-epileptic seizures. 70-80 % of these patients are women. The attacks may resemble all types of epileptic seizures, from absence-like episodes to tonic-clonic-like seizures.

INTERPRETATION

Such seizures may have a wide spectre of causes, including chronic psychological conflicts and psychotraumas. Treatment should therefore be tailored to individuals.

"All that spikes is not fits", mistaking the woods for the trees: the interictal spikes--an "EEG chameleon" in the interface disorders of brain and mind: a critical review

Recent research into mammalian cortical neurophysiology, after 6 decades of Berger's seminal work on electroencephalography, has shifted the older concept of interictal epileptiform activity (IEA) away from that of a mere electrographic graphoelement of relevance to diagnostic implications in epilepsy. Instead, accumulating information has stressed the neuropsychological implications, cognitive and/or behavioral consequence of these electrophysiological events, which are the phenotypic expression of aberrations of actual biophysical cellular function. We feel that this review is germane to neuropsychiatry, however, a rather neglected area of research. There is a great scope for brain-behavior-EEG research in the future that can be complimented by other techniques of "neurobehavioral electrophysiology". This review does not address the "pearls, perils and pitfalls" in the use of EEG in epilepsy, but critically and systematically reappraises the published electroencephalographic correlates of human behavior. We reiterate that epileptiform and other paroxysmal EEG dysrhythmias unrelated to clinical seizures do have neuropsychological, cognitive and/or behavioral implications as seen in the various neuropsychiatric and neurobehavioral disorders discussed in this article. IEA and EEG dysrhythmias should neither be ignored as irrelevant nor automatically attributed to epilepsy. The relevance of these EEG aberrations in the disorders of the brain-mind interface extend beyond epilepsy, and may be an electrophysiological endophenotype of aberrant neuronal behavior indicative of underlying morpho-functional brain abnormalities. Magnetoencephalography (MEG), data fusion models (EEG-fMRI-BOLD), transcranial magnetic stimulation (TMS), evoked potentials (EP); intracranial electrophysiology, and EEG neurofeedback complemented by current functional neuroimaging techniques (fMRI and PET) would certainly help in further understanding the broader relationship between brain and behavior.

[Risk of epilepsy after a first epileptic seizure in adults: Can we predict the future?]

The new definition of epilepsy recently proposed by an international panel of experts relies on the association of a first clinically certain seizure and of an enduring predisposition of the brain increasing the likelihood of future seizures. In the first part of this review, we will expose and organize into a hierarchical order the risk factors of subsequent recurrence. The major factors are: seizure(s) prior to presentation, paroxysmal abnormalities on early EEG, a remote symptomatic etiology. In the second part of this review, we will address the issue of clinical uncertainty when assessing the epileptic origin of a first clinical paroxysmal event, the reasons of uncertainty and the means to minimize it. We will analyze successively: the accuracy of eyewitness observations of transient loss of consciousness, the reliability and predictive validity of clinical criteria used for seizure assessment, the issue of overlapping clinical features between seizure and other non epileptic paroxysmal events (such as psychogenic non epileptic seizures), and finally the reliability and diagnostic value of early EEG for seizure assessment. To conclude, seizure assessment and diagnosis of epilepsy cannot be dissociated from syndrome and etiology diagnosis, which should be periodically reassessed towards a greater accuracy during the course of the disease.

Using interactional and linguistic analysis to distinguish between epileptic and psychogenic nonepileptic seizures: a prospective, blinded multirater study

This study was carried out to test the suggestion that close interactional and linguistic examination of the communication between neurologists and patients during a first encounter can contribute to the differential diagnosis of epilepsy or psychogenic nonepileptic seizures. Twenty unselected patients admitted for video/EEG telemetry because of diagnostic uncertainty were included. Two linguists blinded to all medical data independently studied video recordings and transcripts of 25- to 35-minute interactions. They attempted to predict the medical diagnosis on the basis of qualitative assessments addressing 17 separate observations. They also used a diagnostic scoring aid (DSA) to convert their qualitative assessments into a simple numeric score. Using qualitative assessment, both linguists predicted 17 of 20 (85%) diagnoses (kappa=0.59). With the DSA, diagnoses were predicted with a sensitivity of 85.7% (71.4%) and a specificity of 84.6% (92.3%). This blinded, prospective multirater study confirms the diagnostic value of linguistic and interactional observations in the seizure clinic setting.

Psychogenic non-epileptic seizures--definition, etiology, treatment and prognostic issues: a critical review

In this review we systematically assess our currently available knowledge about psychogenic non-epileptic seizures (PNES) with an emphasis on the psychological mechanisms that underlie PNES, possibilities for psychological treatment as well as prognosis. Relevant studies were identified by searching the electronic databases. Case reports were not considered. 93 papers were identified; 65 of which were studies. An open non-randomized design, comparing patients with PNES to patients with epilepsy is the dominant design. A working definition for PNES is proposed. With respect to psychological etiology, a heterogeneous set of factors have been identified. Not all factors have a similar impact, though. On the basis of this review we propose a model with several factors that may interact in both the development and prolongation of PNES. These factors involve psychological etiology, vulnerability, shaping, as well as triggering and prolongation factors. A necessary first step of intervention in patients with PNES seems to be explaining the diagnosis with care. Although the evidence for the efficacy of additional treatment strategies is limited, variants of cognitive (behavioural) therapy showed to be the preferred type of treatment for most patients. The exact choice of treatment should be based on individual differences in the underlying factors. Outcome can be measured in terms of seizure occurrence (frequency, severity), but other measures might be of greater importance for the patient. Prognosis is unclear but studies consistently report that 1/3rd to 1/4th of the patients become chronic.

Depression and symptoms affect quality of life in psychogenic nonepileptic seizures

BACKGROUND

In patients with active epilepsy, adverse medication effects and severity of depression are correlated with health-related quality of life, but seizure frequency is not. We sought to examine if the same pattern exists in patients with psychogenic nonepileptic seizures (PNES).

METHODS

We administered seizure calendars, quality of life (QOL) scales, depression scales, and symptom checklists to 49 patients with video EEG-confirmed PNES. Data analysis consisted of performing Pearson correlation coefficients, scatter plots, and t tests.

RESULTS

Depression and symptom scores significantly increased as health-related QOL scores decreased (partial correlation coefficient r = -0.73 for both comparisons), whereas seizure count was nonsignificant (partial correlation coefficient r = -0.19).

CONCLUSIONS

As is seen in epilepsy, patients with psychogenic nonepileptic seizures demonstrate that higher depressive symptoms and somatic symptoms are independently related to worsening quality of life (QOL); however, seizure frequency is not. Seizure frequency is an important focus in patient care and treatment trials. The findings underscore the importance of, along with seizure counts, also examining QOL, depression, and somatic symptoms in patients with seizures.

Psychogenic nonepileptic seizures

PURPOSE OF REVIEW

This review summarizes the recent studies assessing patients with psychogenic nonepileptic seizures and developments in treatment.

RECENT FINDINGS

The misdiagnosis of nonepileptic seizure is costly to patients, the healthcare system, and to society. Patients with nonepileptic seizures are prescribed antiepileptic drugs that do not treat nonepileptic seizures, have multiple laboratory tests performed, and may not receive the necessary mental healthcare that could benefit them.The first step in nonepileptic seizure treatment is proper diagnosis. Video electroencephalography remains the gold standard for nonepileptic seizure diagnosis. Certain seizure types, such as frontal lobe seizures, may mimic nonepileptic seizure semiology. Bedside observations may augment video electroencephalography to establish nonepileptic seizure diagnosis. The methodology in nonepileptic seizure treatment trials is examined, describing the challenges in conducting clinical trials with patients with overlapping neurologic and psychiatric disorders. Finally, realizing that nonepileptic seizures are in a spectrum of somatoform disorders, diagnostic literature is reviewed in other conversion disorders.

SUMMARY

Nonepileptic seizure patients remain one of the most challenging populations to diagnose and treat in medical practice. Clinical findings and laboratory advances exist that more clearly establish the diagnosis of nonepileptic seizures. With the appropriate diagnosis, neurologists and mental health providers are better equipped to treat the underlying causes of nonepileptic seizures.

Psychogenic nonepileptic seizures: answers and questions

Psychogenic nonepileptic seizures (PNES) superficially resemble epileptic seizures, but are not associated with ictal electrical discharges in the brain. PNES constitute one of the most important differential diagnoses of epilepsy. However, despite the fact they have been recognized as a distinctive clinical phenomenon for centuries and that access to video/EEG monitoring has allowed clinicians to make near-certain diagnoses for several decades, our understanding of the etiology, underlying mental processes, and, subsequently, subdifferentiation, nosology, and treatment remains seriously deficient. Emphasizing the clinical picture throughout, the first part of this article is intended to "look and look again" at what we know about the epidemiology, semiology, clinical context, treatment, and prognosis of PNES. The second part is dedicated to the questions that remain to be answered. It argues that the most important reason our understanding of PNES remains limited is the focus on the visible manifestations of PNES or the seizures themselves. In contrast, subjective seizure manifestations and the biographic or clinical context in which they occur have been relatively neglected.

Psychogenic nonepileptic seizures in patients with learning disability: comparison with patients with no learning disability

Among a consecutive series of patients with psychogenic nonepileptic seizures (PNES), we compared patients with learning disability (LD) (n=25) with patients with no LD (n=263), with respect to demographic and clinical variables. A higher proportion of the LD group had epilepsy as well as PNES (P<0.001) (uncorrected P values are quoted), and a higher proportion were taking antiepileptic drugs at the time of diagnosis of PNES (P=0.007). Fewer patients with LD had a history of antecedent sexual abuse (P=0.036). A higher proportion of the LD group had previous pseudostatus (P<0.001), and a higher proportion had immediate situational or emotional triggers for their attacks (P<0.001). There were trends toward a higher proportion of men in the LD group (P=0.056) and a longer delay between onset of PNES and diagnosis (P=0.072). Our data suggest potentially important clinical differences between PNES populations with and without LD, as well as possible differences in mechanism.

Psychiatric aspects of epilepsy

Patients who have epilepsy face many challenges resulting from their illness and have frequent psychiatric comorbidities. Recognition of these disorders is increasing and is having a positive impact on patients' quality of life. Recent recommendations about a new classification system for psychiatric disorders related specifically to epilepsy and based on the relationship of symptoms to seizures, antiepileptic medications, and EEG changes should further research and treatment. Especially insofar psychiatric syndromes specific to epilepsy can be identified, correlation of clinical phenomena with relatively well-understood pathophysiology in epilepsy will allow advances in the understanding of psychiatric illness. This progress should move the treatment of patients who have epilepsy toward a comprehensive biopsychosocial model that focuses on the whole person rather than simply on the disease process.

Relationship of Indicators of Neuropathology, Psychopathology, and Effort to Neuropsychological Results in Patients with Epilepsy or Psychogenic Non-epileptic Seizures

Previous research suggests epilepsy and psychogenic non-epileptic seizure (PNES) patients do not show consistent group differences on neuropsychological measures. However, both groups of patients show decreased neuropsychological performance when compared to a normal population (Cragar, Berry, Fakhoury, Cibula, & Schmitt, 2002). Swanson, Springer, Benbadis, and Morris (2000) have suggested epilepsy patients show decreased neurocognitive functioning due to neuropathology whereas PNES patients show decreased neurocognitive functioning due to psychopathology. Effort has also been implicated as an important factor in neuropsychological test results in general (Green, 2003). The purpose of this study was to investigate the relationships of medical history variables (e.g., duration of disorder), neuropathology, psychopathology, and effort to neuropsychological findings in epilepsy and PNES patients. Neuropsychological functioning was divided into six domains: intelligence, memory, language, executive functions, visual-spatial, and motor. Results indicated that medical history variables were related to intellectual, memory, language, and motor functioning. Psychopathology was associated with all cognitive domains except executive functioning. Effort was related to intellectual, memory, language, visual-spatial, and motor functioning. Neuropathology and diagnosis were related only to memory.

Cognitive Impairment Is Not Equal in Patients with Epileptic and Psychogenic Nonepileptic Seizures

PURPOSE

Patients with psychogenic nonepileptic seizures (PNES) and those with epileptic seizures (ES) purportedly have roughly equal neurocognitive deficits. However, recent findings suggest that patients with somatoform disorders exhibit more variable effort on neurocognitive testing than do controls. We reexamined neurocognitive function in patients with ESs and PNES by using symptom validity testing to control for variability in effort.

METHODS

Patients referred for video-EEG monitoring were administered the Word Memory Test (WMT), a measure of symptom validity, as part of neuropsychological evaluation. Patients classified with ictal video-EEG recordings as having ES (n = 41) or PNES (n = 43) were compared on neurocognitive and WMT performance and demographic, psychiatric, and medical variables.

RESULTS

Striking rates of WMT failure were observed in the PNES (51.2%) group, but not in the ES (8.1%) group (p = <0.001) after controlling for false-positive errors. Although the PNES and ES groups reported equivalent neurologic histories, the PNES group exhibited less objective evidence of impairment as measured by valid neuropsychological testing, MRI of the brain, and video-EEG monitoring.

CONCLUSIONS

Many patients with PNES do not put forth maximal effort during neuropsychological assessment. When patients with PNES put forth valid effort, they demonstrate less objective evidence of neuropathologic injury or disease than do patients with ES. The cognitive impairment reported by this group appears to be more a function of motivational (although not necessarily intentional) factors than of verifiable neuropathology.

The withdrawal of antiepileptic drugs in patients with non-epileptic seizures: safety considerations

The majority of patients with psychogenic non-epileptic seizures (PNES) do not have epilepsy. There are a number of compelling reasons to take these patients off antiepileptic drugs (AEDs), including drug toxicity and teratogenicity, as well as possibly poorer outcome of PNES and increased risk of iatrogenic harm when patients present to emergency rooms on AEDs as emergencies. However, many patients with PNES who do not have epilepsy remain on AEDs postdiagnosis. Some studies do report patients taken off medication as an outcome measure, but with no assessment of the safety of withdrawal, or specification of the criteria for 'excluding' epilepsy. One study has assessed the safety of taking patients satisfying some simple criteria for the absence of an underlying epilepsy off AEDs, and has found the procedure to be safe, given appropriate postwithdrawal follow-up. Patients with PNES who do not have evidence of epilepsy should be referred to a centre with appropriate expertise in epilepsy diagnosis so that AEDs can be withdrawn in safe conditions.

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.

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.

Outcome in psychogenic nonepileptic seizures: 1 to 10-year follow-up in 164 patients

Our knowledge of longer term outcome in psychogenic nonepileptic seizures (PNESs) patients is limited; we know less still about factors predicting prognosis. This study was intended to describe outcome in a large cohort and to identify predictive clinical and psychological factors to generate new ideas for treatment. One hundred sixty-four adult patients with PNESs (66.7%) responded to outcome, personality, and psychosymptomatology questionnaires (Dimensional Assessment of Personality Pathology-Basic Questionnaire [DAPP-BQ], Dissociative Experiences Scale, and Screening Test for Somatoform Symptoms) a mean of 11.9 years after manifestation and 4.1 years after diagnosis of PNES. Additional clinical data were retrieved from hospital records. The responses showed that 71.2% of patients continued to have seizures and 56.4% were dependent on social security. Dependence increased with follow-up. Outcome was better in patients with greater educational attainments, younger onset and diagnosis, attacks with less dramatic features, fewer additional somatoform complaints, and lower dissociation scores. Better outcome was associated with lower scores of the higher order personality dimensions "inhibitedness," "emotional dysregulation," and "compulsivity" but not "dissocial behavior" (DAPP-BQ). Outcome in PNESs is poor but variable. Clinical and personality factors can be used to provide an individualized prognosis. By generating a patient-specific profile, they show particular maladaptive traits or tendencies that can identify goals for psychological therapy.