Patients with psychogenic nonepileptic seizures,alone or epilepsy-associated,share a psychological profile distinct from that of epilepsy patients

The aim of this study was twofold: 1 – to identify a psychological profile of patients with psychogenic nonepileptic seizures (PNESs) that is possibly distinct from that of subjects affected by epileptic seizures (ESs) alone; 2 – to detect the possible differences between the clinical features and psychological profile of patients affected by PNESs alone and those of subjects in whom PNESs are associated with epileptic seizures (ES/PNES patients). We assessed the psychological profiles of 2 different groups of subjects. The first group was of 38 patients who had all developed PNESs after epileptic seizures (ES\PNES, group 1). The second group was of 31 patients with PNESs alone (PNES, group 2). We compared the psychological findings of each of these 2 groups with those of 2 control groups, composed of patients who matched groups 1 and 2 for sex, age, and educational level, but who were affected only by ESs (groups 1C and 2C). Finally, we considered possible differences between the ictal symptoms and signs of PNESs occurring in ES/PNES and in PNES patients. Both the ES/PNES group and the PNES group revealed higher percentages of Somatoform Disorders and Cluster B Personality Disorders (DSM-III-R diagnoses) than the ES patients in the control groups. The scores obtained on the Psychophysiological Distress Scale of the Cognitive Behavioural Assessment Battery (CBA) followed the same pattern. Among PNES ictal phenomena, autonomic symptoms and signs were significantly more frequent in the PNES than in the ES/PNES group. The occurrence of PNESs mimicking generalised tonic-clonic ESs (GTC-PNESs) was significantly associated with a low academic level. The results of this study suggest that the patients with PNESs alone and those affected by PNESs and ESs share the same psychological profile, which is different from that of patients with ESs alone. However, some differences between ES/PNES and PNES patients were found in the clinical semiology of their PNESs. Our findings could have implications for the diagnosis and for the treatment of patients with PNESs. Received: 26 March 2002, Received in revised form: 4 October 2002, Accepted: 21 October 2002 Correspondence to Dr. C. A. Galimberti, M.D.     

A comparison of MMPI-2 decision rules in the diagnosis of nonepileptic seizures

The differential diagnosis of epileptic seizures (ES) and psychogenic nonepileptic seizures (PNES) continues to be a common concern in epilepsy treatment centers. The MMPI/MMPI-2 is the most commonly studied psychological measure in the differential diagnosis of ES and PNES. Wilkus, Dodrill, and Thompson (1984) and Derry and McLachlan (1996) both developed decision rules for use with the MMPI and MMPI-2 to assist in this diagnostic discrimination. Both sets of decision rules were evaluated in a sample of ES (n=58), PNES ( n=29) and epilepsy plus PNES (n=19) patients. Validity of the epilepsy diagnosis was established with 24-hr video-EEG monitoring in all cases. The two sets of decision rules applied to the MMPI-2 showed sensitivities of 68% and 48% and specificity values of 55% and 58%. Calculation of positive and negative predictive power for both sets of rules at three different base rates suggests that use of these rules can result in a large number of false positive diagnoses of PNES.     

Sleep structure in patients with psychogenic nonepileptic seizures

Psychogenic nonepileptic seizures (PNES) are a significant public health problem, occurring in perhaps 25% of patients admitted to epilepsy monitoring units. Additional distinguishing characteristics for these patients would be helpful from both a clinical and a scientific standpoint. This study examines sleep structure by polysomnography in patients with PNES compared with patients with epileptic seizures (ES). ES and PNES were verified by video-EEG monitoring. All patients with PNES were evaluated by a psychiatrist. Eight female patients with PNES were compared with 10 female ES patients in the same age group. Percentage REM sleep was significantly greater for women with PNES (23+/-1%) than for those with ES (18+/-1%). There were no differences in other sleep stages, total sleep time, or sleep efficiency. REM latency was less in PNES patients although not significantly. The study suggests that patients with PNES have a sleep architecture similar to that found in major depression, known to be associated with increased REM sleep.     

Retrospective Analysis of the Effects of Psychotherapeutic Interventions on Outcomes of Psychogenic Nonepileptic Seizures

Summary: Purpose: Uncertainty exists regarding the effectiveness of psychotherapy in patients with psychogenic nonepileptic seizures (PNES). We retrospectively reviewed the outcomes of therapeutic interventions in a cohort of patients with PNES.
Methods: We identified patients with PNES by outpatient video-EEG (VEEG) between 1992 and 1996. We retrospectively analyzed the effects on outcomes of various types of interventions for PNES administered at random, using a structured interview and review of medical records. Patients with subjective events and severe psychosis were excluded. Patients who required inpatient monitoring because the outpatient VEEG was inconclusive were also excluded.
Results: One hundred patients were diagnosed with PNES between 1992 and 1996: 61 patients completed the study. The average age was 43.3 years, and 90% were female. Nine (15%) had had PNES <1 year, and 7 (11%) had epilepsy. Eleven of 16 patients (68%) who received five or more counseling sessions, including showing the videotaped recording of the nonepileptic spell (13 of 16) by the comprehensive epilepsy program (CEP) psychotherapist had cessation (7 of 16) or reduction (4 of 16) of their episodes. Eleven of 15 patients (73%) who received only the feedback and care of their CEP neurologists had similar favorable outcome. Twelve of 25 patients (48%) who received counseling by a non-CEP psychotherapist or psychiatrist had cessation (10 of 25) or reduction (2 of 25) of episodes. Five patients who received no feedback or intervention had no improvement (4 of 5) or worsening (1 of 5) of the PNES.
Conclusions: Psychotherapy or feedback provided by CEP professionals with experience in epilepsy and PNES improves outcome and may be superior to other or no interventions.     

The diagnostic value of oral lacerations and incontinence during convulsive "seizures"

Purpose: Oral lacerations and urinary incontinence have long been considered useful clinical features for the diagnosis of epileptic seizures; however, both are also reported in patients with psychogenic nonepileptic seizures (PNES). The aims of the study were (1) to investigate whether the presence and nature of oral lacerations or incontinence during convulsive seizures of patients with epilepsy differed from those with PNES, and (2) whether the side of the oral laceration has any correlation with the epilepsy syndrome or lateralization.
Methods: Eighty-four consecutive patients who experienced at least one convulsive event during video-EEG monitoring (VEM) were questioned and examined for oral lacerations and incontinence. Seizure classification was determined by a team of epileptologists based on the VEM findings and other clinical and investigational data, blinded to the oral laceration and incontinence information.
Results: The presence of oral lacerations among patients with epileptic seizures was 26% (17/66), in contrast it was 0% (0/18) with PNES (p = 0.01). Of the oral lacerations sustained by patients during an epileptic seizure, 14 were to the side of the tongue, one to the tip of the tongue, two to the cheek, and three to the lip. No significant relationships were observed between seizure lateralization and oral lacerations. Incontinence occurred in 23% (15/66) of epilepsy patients and 6% (1/18) of PNES patients (p = 0.09). There was no relationship between epilepsy type or lateralization and the prevalence of incontinence.
Conclusions: Despite frequent reports of oral lacerations and incontinence by patients with PNES, objective evidence for this is highly specific to convulsive epileptic seizures.     

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.     

Psychogenic nonepileptic seizures: acute change in event frequency after presentation of the diagnosis

Seizure frequency during inpatient video EEG monitoring was examined before and after the diagnosis of psychogenic nonepileptic seizures (PNES) was presented to patients (N=22). A control group of 10 patients with epileptic seizures (ES) were also followed from pre- to postdiagnosis. The number of PNES or ES within the 24-hour period prior to diagnosis was compared with the number of events that occurred within the 24-hour period after presentation of the diagnosis. Findings indicate that patients with PNES had a significant decrease in the frequency of events after diagnosis, while those with ES showed no change in event frequency after diagnosis. Eighteen of twenty-two patients with PNES had no further events during an acute follow-up period. Results suggest that providing patients with a diagnosis of PNES appears to reduce the acute frequency of PNES and may be an important first step in the long-term remediation of PNES. Long-term follow-up is needed to determine if such feedback alters the course of the disorder.     

What is the Significance of Subjective Events Recorded During Long-Term EEG Video Monitoring?

Summary: Purpose : Purely subjective events, identified as "seizures" by patients but not accompanied by any clinical or EEG changes, commonly occur during evaluation of patients for intractable epilepsy. We wished to determine the significance of such events.
Methods : We analyzed the frequency of subjective episodes in 379 adults who underwent EEG video monitoring as part of their evaluation for intractable epilepsy and the relationship of these experiences to epileptic and psychogenic nonepileptic (NES) seizures. We examined the results of tests of mental ability and of emotional, psychosocial, and quality of life (QOL) adjustment to determine if individuals with subjective events alone could be distinguished from those with epileptic seizures only, NES only, or no events, by these measures.
Results : We noted subjective events in 39% (147 of 379) of the patients. Of patients with subjective episodes, 52% also had epileptic seizures, 7% had NES, 1% had both epileptic seizures and NES, and 40% had subjective events alone. As a group, patients with subjective events alone were slightly more intelligent and less impaired neuropsychologically than people in the other groups, hut they performed more poorly on several important measures of adjustment.
Conclusions : The identification of persons with purely subjective episodes apart from all other episodes is important both phenomenologically and from a practical viewpoint.     

Differential diagnosis of a paroxysmal neurological event: Do neurologists know how to clinically recognize it?

PurposeTo investigate ability to recognize paroxysmal neurological events (PNE) based on video-recorded events alone in a group of physicians treating prevalent neurological conditions.MethodsTotal of 12 patients' videos (6 epileptic seizures (ES), 4 psychogenic nonepileptic seizures (PNES), 2 other nonepileptic seizures (oNES)) were selected. Videos were displayed once to physicians blind to clinical data and final diagnosis. Physicians determined their clinical choice: ES, PNES, oNES, and I don't know (IDK). When ES was chosen, subjects determined type of ES: focal ES, secondary generalized tonic-clonic seizure (GTCS), primary GTCS, and IDK.ResultsIn total 145 physicians (62% female, mean age 46.2 ± 9 years) (neurologists 58.6%, neuropsychiatrists 25.5%, psychiatrists 5%, and neurology residents 10.3%) were enrolled. Physician's exposure to patients with epilepsy per week was diverse: ≤ 1 patient (43.7%); 1–7 patients (37.2%); > 7 patients (14.5%). Reported frequency of observation of PNE was as follows: frequent (21.4%), sometimes (47.6%); rarely (26.9%); never (2.1%). Majority of subjects were not EEG readers (60.7%). Median percentage (Mdn%) of correct answers (CA) was 75% (range 25–100). Predictor of better PNE recognition was higher frequency of clinical exposure to PNE (OR 1.65; CI95% 1.11–2.45; p = 0.013). Mdn% of ES CA was 83.3%, (range 33.3–100), and of PNES CA was 50% (range 0–100). Physicians were more accurate in ES than PNES identification (p < 0,001). Mdn% of type of ES CA was 50%, (range 0–100).ConclusionsWe demonstrate the need for education about clinical features of PNE across subgroups of physicians who deliver neurological service, with emphasis on PNES and ES type classification.     

Gender differences in psychogenic non-epileptic seizures.

PURPOSE: To determine whether male and female populations of patients with psychogenic non-epileptic seizures (PNES) are similar, in terms of demographic and social factors, aetiological factors, the clinical characteristics of events and path to diagnosis. METHODS: Prospective study by semi-structured interview of 160 consecutive patients (117 female and 43 male) with video EEG confirmed diagnosis of PNES + epileptic seizures (ES). RESULTS: Most parameters showed no significant differences. Males were, however, more likely to be unemployed (P = 0.028), and females were six times more likely to self-harm (P = 0.050), though the numbers were small in these categories. Men were more likely to attribute their PNES to a predisposing factor for epilepsy (P = 0.001), and women were over eight times more likely to report sexual abuse (P = 0.001). Event semiology was similar, but women were more likely to weep after events (P = 0.017). The carers and family of men with PNES were three times less likely to accept the diagnosis of PNES (P = 0.017). CONCLUSIONS: Our samples showed few significant gender differences, suggesting that other male and female populations of patients with PNES are likely to be similar also. Some of the differences we found may give insight into causation of PNES.     

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.     

REM Sleep Behavior Disorder and Epileptic Phenomena: Clinical Aspects of the Comorbidity

Summary:  Purpose: To document the occurrence of REM sleep behavior disorder (RBD) episodes in patients with epilepsy, and of interictal EEG epileptiform abnormalities (IEA) in patients with idiopathic RBD.
Methods: Consecutive observations in a tertiary epilepsy center and a tertiary sleep center. RBD diagnosis was based on standard clinical and video-polysomnographic findings.
Results: Co-occurrence of epileptic seizures and RBD episodes was found in six cases (all men; mean age 70.5 ± 11.1 years). Focal, isolated, sporadic sharp waves during wakefulness and/or during sleep were documented in 9 out of 34 (26.4%) patients with idiopathic RBD; no significant differences in age at onset and duration of RBD emerged between RBD patients with and without IEA.
Conclusions: RBD episodes can occur in epilepsy patients and focal IEA in patients with idiopathic RBD. This, apart from being a possible cause for misdiagnosis, may indicate a possible link between the two disorders. Further systematic investigations of the occurrence of RBD episodes in epilepsy will help to establish the real extent of this comorbidity and its ultimate neurobiological significance.     

Psychogenic nonepileptic seizures in patients with surgically treated temporal lobe epilepsy: Presurgical and de novo postsurgical occurrence

Whether occurring before or after an epilepsy surgery, psychogenic nonepileptic seizures (PNES) impact treatment options and quality of life of patients with epilepsy. We investigated the frequency of pre- and postsurgical PNES, and the postsurgical Engel and psychiatric outcomes in patients with drug-resistant temporal lobe epilepsy (TLE). We reviewed 278 patients with mean age at surgery of 37.1 ± 12.4 years. Postsurgical follow-up information was available in 220 patients, with average follow-up of 4 years.Nine patients (9/278 or 3.2%) had presurgical documented PNES. Eight patients (8/220 or 3.6%) developed de novo PNES after surgery. Pre- and postsurgery psychiatric comorbidities were similar to the patients without PNES. After surgery, in the group with presurgical PNES, five patients were seizure-free, and three presented persistent PNES. In the group with de novo postsurgery PNES, 62.5% had Engel II–IV, and 37.5% had Engel I. All presented PNES at last follow-up.Presurgical video-EEG monitoring is crucial in the diagnosis of coexisting PNES. Patients presenting presurgical PNES and drug-resistant TLE should not be denied surgery based on this comorbidity, as they can have good postsurgical epilepsy and psychiatric outcomes. Psychogenic nonepileptic seizures may appear after TLE surgery in a low but noteworthy proportion of patients regardless of the Engel outcome.     

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.     

Motivation, psychopathology, locus of control, and quality of life in women with epileptic and nonepileptic seizures

To examine factors that may potentially aid in the differential diagnosis and subsequent tailoring of treatment for patients with epileptic (ES) and psychogenic nonepileptic (PNES) seizures, thirty female patients with PNES and 51 female patients with temporal lobe epilepsy were assessed in the areas of motivation, psychopathology, health-related locus of control (HRLOC), and health-related quality of life (HRQOL). The two groups demonstrated equivalent levels of motivation, clinically elevated yet comparable mood symptoms, and no general differences in HRLOC. Despite similar mood disturbances in both groups, the participants with PNES had a later age of seizure onset, exhibited greater personality disturbances, attributed more control over their condition to nonphysicians, and endorsed a greater negative impact of their seizures on physical and emotional aspects of HRQOL. Preliminary analyses suggest that chronic anxiety and overall HRQOL may be core discriminators between these seizure groups. Addressing such issues may prove useful in tailoring more specific treatments for these etiologically disparate conditions.     

Video-EEG results and clinical characteristics in patients with psychogenic nonepileptic spells: The effect of a coexistent epilepsy

RationaleEpilepsy and psychogenic nonepileptic spells (PNES) can coexist, often posing diagnostic and therapeutic challenges. We sought to identify clinical and historical characteristics of two groups of patients, those with coexisting epilepsy and PNES and those with PNES alone, and determine the prevalence of coexisting epilepsy/PNES with strict diagnostic criteria in a large group of epilepsy monitoring unit (EMU) patients.MethodsWe reviewed the medical records of all consecutive patients admitted to the Vanderbilt University Medical Center Adult EMU between July 1, 2007 and June 30, 2012. We identified patients with recorded PNES and classified them as having coexisting epilepsy/PNES or PNES alone and then systematically compared the clinical characteristics of these two groups.ResultsA total of 1567 patient medical records were reviewed. The prevalence rate of coexisting epilepsy/PNES was 5.2% among all EMU admissions (12.3% of all patients with epilepsy and 14.8% of all patients with PNES). These rates were lower when patients with interictal epileptiform activity (IEA) alone and no recorded ictal discharges were not included in the group with epilepsy (2.6%, 6.2%, and 7.4%, respectively). The accuracy of pre-EMU clinical suspicion was significantly higher in the group with PNES-only. Patients with epilepsy/PNES were significantly more likely to require more than one EMU admission for definitive diagnosis. The first PNES event preceded an epileptic seizure (ES) in 94.4% of patients with epilepsy/PNES. The group with PNES-only had significantly higher suggestibility, and the group with epilepsy/PNES had a significantly higher presence of epilepsy risk factors. Abnormal neurological examination and abnormal brain MRI were also significantly more common in the group with epilepsy/PNES.ConclusionsOur study defined the prevalence of coexisting epilepsy/PNES in a large cohort with strict diagnostic criteria and outlined specific clinical and historical characteristics differentiating the two groups of patients with coexisting epilepsy/PNES and PNES-only. These findings should help guide clinicians to reach the correct diagnosis faster and provide appropriate treatment earlier.     

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

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

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.     

Clinical differences between patients with nonepileptic seizures who report antecedent sexual abuse and those who do not

Purpose: To investigate clinical differences between patients with psychogenic nonepileptic seizures (PNES) who report antecedent sexual abuse, and patients who do not.
Methods: In a consecutive series of 176 patients with video-EEG confirmed PNES without epilepsy, we compared patients who reported antecedent sexual abuse with those who did not report sexual abuse, in respect of a range of demographic and clinical variables.
Results: Fifty-nine women (45%) and 5 men (11%) reported sexual abuse. Those reporting sexual abuse had earlier onset PNES (28.5 vs. 33.1 years, p = 0.0319) and greater delay from onset to diagnosis (median 5.2 vs. 3.2 years, p < 0.0137). They more often drew social security benefits (p = 0.0054) and were less often in cohabiting relationships (p = 0.0006). Those who reported sexual abuse had poorer mental health on a range of indicators. Their spells were more often "convulsive" (p = 0.0419), were more severe (p = 0.0011), were more likely to have emotional triggers (p = 0.0045) and to include prodromes (p = 0.0424) and flashbacks (p < 0.0001). A history of nocturnal spells (p = 0.0109), injury during spells (p = 0.0056), and incontinence during spells (p = 0.0083) were also more common in the patients reporting sexual abuse.
Discussion: Our results suggest that patients with PNES who report sexual abuse have more severe PNES, are more likely to have PNES with features that suggest epilepsy, and are psychiatrically more unwell than those who do not report sexual abuse.