Headaches and other pain symptoms among patients with psychogenic non-epileptic seizures.

Studies of patients with psychogenic non-epileptic seizures (NES) typically focus upon the phenomenology and outcome of NES episodes. Little is known, however, about the frequency and nature of other somatic symptoms such as pain, in this population. To assess the frequency, location and severity of symptoms of pain among NES patients, we administered structured interviews to 56 patients, 6 or more months following the diagnosis of psychogenic non-epileptic seizures (NES). Patients were recruited from a tertiary hospital-based epilepsy monitoring unit. Seventy-seven percent of patients suffered from moderate to severe pain, most commonly headache (61%), while neck pain and backache were also common. Twenty-six of 27 patients with persistent NES vs. 17 of 29 patients whose NES resolved experienced moderate to severe pain (P < 0.001). Pain is an under-recognized problem that occurs frequently and with significant severity among NES patients. Pain symptoms are more common among patients with persistent NES than those whose NES resolve.     

The value of provocation methods in patients suspected of having non-epileptic seizures.

Non-epileptic seizures (NES) are reported in 18-23% of patients referred to comprehensive epilepsy centres. Non-epileptic seizures may also be present in 5-20% of the patients who are diagnosed as having refractory seizures. Because of their prevalence, financial and psychosocial outcomes cannot be ignored and accurate diagnosis is of the utmost importance. Various methods of seizure induction have been developed with the aim of differentiating epileptic from non-epileptic seizures. However, recording the attacks by video-EEG monitoring is the gold standard. In our outpatient EEG laboratory we try to induce seizures with verbal suggestion or IV saline infusion in patients who are referred by a clinician with the diagnosis of probable non-epileptic seizures. In this study we investigated the results of 72 patients who were referred between January 1992-June 1996. Non-epileptic seizures were observed in 52 (72.2%) patients. Thirteen of these patients still had risk factors for epilepsy. We could not decide whether all of their previous attacks were non-epileptic because 10-30% of the patients with NES also have epileptic seizures. For a more accurate diagnosis it was decided that these 13 patients, together with the 20 patients who did not have seizures with induction, needed video-EEG monitoring. Thirty-nine patients who had NES and no risk factors for epilepsy were thought to have pure non-epileptic seizures. We claim that not all patients suspected of having NES need long-term video-EEG monitoring and almost half (54.2%) of the cases can be eliminated by seizure induction with some provocative techniques.     

Non-epileptic seizures: delayed diagnosis in patients presenting with electroencephalographic (EEG) or clinical signs of epileptic seizures.

The clinical differentiation between epileptic seizures (ES) and non-epileptic seizures (NES) is often difficult and mostly based on the presence or absence of widely recognized features of ES such as tongue biting, falling, incontinence or concomitant epileptic abnormalities in the electroencephalogram (EEG). We retrospectively analysed the records of all patients referred to our Epilepsy Centre for refractory epilepsy and finally diagnosed with NES between 1980 and 1999 ( n= 103), half of them also exhibiting ES. The mean time-lapse between first attack and NES diagnosis was 8.7 +/- 1.3 years and 16.5 +/- 1.4 years for the NES and NES + ES groups respectively. At least one of the usual signs associated with generalized tonic-clonic seizures (tongue biting, falling or incontinence) was reported by 66% and 60% of patients with NES or NES + ES respectively. Interictal EEG abnormalities were recorded in 16% of NES patients vs. 80% of NES + ES patients. In the NES group, delay before establishing the correct diagnosis was significantly longer when the patients exhibited > or =1 symptom(s) of generalized seizures, or when patients exhibited interictal EEG abnormalities. Upon admission, 72% of NES patients and all NES + ES patients were being treated with antiepileptic drugs (AEDs).We conclude that EEG or clinical abnormalities suggestive of epileptic seizures are common in undiagnosed NES patients. Such diagnostic pitfalls, besides considerably delaying NES diagnosis, also considerably delay appropriate treatment implementation.     

Psychogenic nonepileptic seizures are associated with an increased risk of obesity

Psychogenic nonepileptic seizures (NES) are somatic manifestations of psychological distress. There is some evidence that weight problems are more common in patients with psychiatric illness. We have observed that patients admitted for video-EEG monitoring who we diagnosed with NES commonly have a larger body habitus than patients with epilepsy. The goal of this study was to test our hypothesis that there was a significant difference in body mass index (BMI) in patients with nonepileptic seizures compared with their epileptic counterparts. We compared the BMIs of 46 NES patients and 46 age- and gender-matched epileptic controls and found that the NES patients had significantly higher BMIs (30.5 vs 26.1, P=0.006) than controls. This remained true after controlling for weight-gain properties of antiepileptic drugs. These results are compared with the prevalence of overweight and obesity in the general population. Possible explanations of the findings and limitations of the study are discussed.     

A comparison of post-ictal headache between patients with occipital lobe epilepsy and temporal lobe epilepsy.

We investigated post-ictal headaches (PIH) using a questionnaire to ascertain their characteristics and compare them among different types of epilepsy. The subjects consisted of 34 patients with occipital lobe epilepsy (OLE) and 75 patients with temporal lobe epilepsy (TLE). PIH occurred in 62% of OLE and 23% of TLE (P < 0.05). The quality of pain in PIH was 'steady' in 71% of OLE and 29% of TLE (P < 0.05) as opposed to 'pounding'. Other factors, such as frequency, severity, duration, and accompanying symptoms showed no significant differences. We found very few patients with migraine-like headaches. Analyses of clinical factors, such as age at onset, duration of epilepsy, seizure frequency, family history of headache, and interictal headache did not reveal any relationship to PIH, although generalized tonic-clonic seizures are associated with PIH in TLE (P < 0.05). These results suggest that the nature of PIH may be different between OLE and TLE, and that the region of epileptic focus or spreading area of epileptic discharge may have a close relation to the induction of PIH. An association with migraine, which has been reported previously, was unclear in our study.     

Etiologic and diagnostic factors of psychogenic pseudo-epileptic seizures

The term psychogenic pseudoepileptic seizures (or psychogenic non-epileptic seizures-NES) generally refers to episodes of psychological origin that resemble epilepsy but without underlying epilepsy. The diagnosis of pseudo-epileptic seizures is confirmed in 5-33% of patients that are considered to suffer from refractory epilepsies. Making a correct diagnosis in patients presenting with attack disorders is sometimes very difficult. However, the best way to establish differential diagnosis of epileptic and pseudoepileptic seizures is to apply long-term video EEG monitoring. Triggering a seizure by means of placebo administration or suggestion to start or stop seizure can be also a helpful method in differential diagnosis. Over the last decade epileptologist have been paying increasing attention to the Minnesota Multiphasic Personality Inventory (MMPI) scales in describing or distinguishing real epileptic seizures vs. non-epileptic attacks. The results of the study may have practical implications for neurological and epilepsy centres, and for improving clinical knowledge and allow to establish aetiological classification of psychogenic pseudoepileptic seizures.     

Incidence of epilepsy and predictive factors of epileptic and non-epileptic seizures.

PURPOSE: To estimate the incidence of unprovoked seizures (US) and epilepsy in a general population from the southern part of the Netherlands, in relation to age, sex, etiology and seizure type, and to identify predictive factors of the epileptic and non-epileptic seizures. METHODS: All patients aged > or =14 years with a first seizure or who had undiagnosed seizures before the study period were included. Patients were identified from different sources and were independently evaluated and classified by a team of neurologists. A predictive profile for the occurrence of epileptic and non-epileptic seizures was obtained by stepwise logistic regression analysis. RESULTS: The overall annual incidence was 55/100,000 and 30/100,000 for US and epilepsy, respectively. The age-specific annual incidence of US and epilepsy increased with age and reached 120/100,000 and 62/100,000 for the > or =65 years of age group, respectively. The incidence of epilepsy and US in males was higher than in females and partial seizures prevailed over generalized seizures (40 versus 9/100,000). In up to 35% of the cases with US or epilepsy, the etiology was mainly cerebrovascular disease and brain tumors. Predictors for epileptic versus non-epileptic seizures of organic origin were an epileptiform EEG pattern (OR=0.06) versus a history of hypertension (OR=2.8) or cardiovascular disease (OR=5.4). Strong predictors for seizures of non-organic origin were female sex (OR=2.2) and head injury (OR=2.4). CONCLUSIONS: The incidence of US and epilepsy (overall, and age-, sex-, seizure-specific) was similar to those reported by other developed countries. The predictive factors found in this study may assist in the early diagnosis of seizures.     

A comparative study of mismatch negativity (MMN) in epilepsy and non-epileptic seizures.

This study investigated mismatch negativity (MMN) differences between subjects with non-epileptic seizures (NES), subjects with epilepsy, and healthy controls. Event-related potentials (ERPs) were obtained from 14 patients with NES, 15 patients with epilepsy and 16 healthy control subjects. A conventional MMN procedure was used with a random sequence of 12% deviant tones (922 Hz) and 88% standard tones (1000 Hz). Subjects were instructed to ignore the tones delivered through headphones whilst reading a book. Significant differences in distribution of the mismatch negativity (MMN) in patients with NES compared to controls were obtained (F3, p 相似文献   

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.     

The safety of antiepileptic drug withdrawal in patients with non-epileptic seizures

BACKGROUND: To determine whether withdrawal of anticonvulsant drugs (AED) can be carried out safely in patients with non-epileptic seizures (NES). METHODS: Prospective evaluation of safety and outcome in 78 patients with NES who satisfied a standardised set of criteria for excluding the diagnosis of coexisting or underlying epilepsy.Findings: The patients were taking from one to three AED. Sixty four patients were withdrawn as outpatients, 14 as inpatients. Five patients stopped their drugs abruptly, and two had AED restarted and had to be withdrawn again. Otherwise all patients adhered to withdrawal schedules. A new type of attack in addition to NES was seen in three patients (complex partial seizures in all three cases). NES frequency declined in the group as a whole over the period of the study (follow up 6-12 months) in all individuals except for eight patients in whom there was a transient increase. Fourteen patients reported new physical symptoms after withdrawal; however, no serious adverse events were reported. CONCLUSIONS: With appropriate diagnostic investigation and surveillance during follow up withdrawal of AED can be achieved safely in patients with NES.     

HMPAO SPECT in non-epileptic seizures: preliminary results

The diagnosis of non-epileptic seizures (NES) is problematic. Although diagnosis can be achieved by videotelemetry, these facilities are expensive and not widely available. HMPAO SPECT studies show focal hypoperfusion interictally in focal epilepsy. SPECT has not been studied in any detail in NES previously. Two groups (10 patients each) were studied, one with NES and one with complex partial seizures and localisation related epilepsy. SPECT scans were normal in 7 of 10 (70%) NES patients, while showing clear focal hypoperfusion in 8 of 10 patients (80%) with epilepsy. In the NES group, 1 patient showed hypoperfusion indistinguishable from that seen in epilepsy, while 2 patients in the epilepsy group showed only equivocal focal hypoperfusion. The remaining 2 patients in the NES group showed bifrontal and equivocal focal hypoperfusion. A normal HMPAO SPECT study supports the diagnosis of NES in patients with seizures of uncertain aetiology.     

Ictal Behaviors During Nonepileptic Seizures Differ in Patients with Temporal Lobe Interictal Epileptiform EEG Activity and Patients Without Interictal Epileptiform EEG Abnormalities

Summary: Purpose: Ictal behaviors during psychogenic non-epileptic seizures (NES) vary considerably among individuals, and can closely resemble common semiologies of epileptic seizures (ES). We tested the hypothesis that behaviors during NES in patients who have temporal spikes would more closely resemble behaviors during ES in patients with temporal lobe epilepsy than would behaviors during NES in patients who do not have EEG spikes.
Methods: We identified 20 patients who had interictal temporal EEG spikes and EEG-video recorded NES (Study Group), 133 patients with temporal EEG spikes and recorded ES, without NES (Epileptic Group), and 24 patients with recorded NES and no epileptiform EEG abnormalities, without ES (Nonepileptic Group).
Results: The hypothesis was supported with regard to ictal motor behaviors. Motionless staring or complex automatisms occurred mainly during NES in the Study Group and during ES in the Epileptic Group. In contrast, convulsive movements or flaccid falls were most common during NES in the Nonepileptic Group. Duration of unresponsiveness was longer, and there were fewer postictal states in NES both in the Study and Non-epileptic Groups. Unresponsiveness was briefer and postictal states were more consistent in ES in the Epileptic Group, however.
Conclusions: Stereotyped motor activities during NES presumably represent learned behaviors. Processes underlying acquisition of ictal behaviors of NES probably differ in patients with interictal epileptiform EEG abnormalities compared to those without. Prior experiences and temporal lobe dysfunctions that are associated with epilepsy, and psychological characteristics that are unrelated to interictal epileptic dysfunctions, may determine ictal behaviors during NES.     

The experience of earthquakes by patients with epileptic and psychogenic nonepileptic seizures

PURPOSE: We sought to understand better the experience of seizures by studying differences in the subjective experience of being in an earthquake between patients with epileptic (EP) and nonepileptic (NES) seizures. METHODS: Forty-eight patients with CCTV/EEG-documented EP or NES who were in the Seattle metropolitan area during the February 28, 2001 Nisqually earthquake were randomly selected for telephone interviews on their earthquake experiences, including whether they thought they were having a seizure during the event. RESULTS: Twenty-three percent of EP patients spontaneously volunteered that they initially thought they were having a seizure during the earthquake as compared with none of the NES individuals (p = 0.03). However, 35% of EP and 23% of NES patients thought they were having a seizure during it when asked directly (p = 0.37). The most common reasons given, regardless of seizure type, were shaking and feelings of losing control. Of those responding negatively, 100% of EP and 47% of NES patients said that movement of their environment indicated that it was not a seizure (p = 0.001). EP patients took an average of 42 s to realize that the earthquake was not a seizure compared with 105 s for the NES group (p = 0.06). The earthquake precipitated seizures in both groups (11.5% EP, 9.1% NES). CONCLUSIONS: EP patients were more likely to mistake the earthquake spontaneously for a seizure. This indicates these two experiences are similar and provides a glimpse into the subjective experience of a seizure for those who have never had one but have experienced an earthquake.     

Video-EEG monitoring of paroxysmal events in the elderly

OBJECTIVES: To determine the importance of video-EEG monitoring (VEM) in elderly patients with various paroxysmal events. MATERIAL AND METHODS: We retrospectively identified 16 subjects > or = 60 years old out of 834 (1.9%; 7 females, mean age 67.8 +/- 7.7 years), who were admitted to the Video-EEG Unit between 1997 and 2005 and compared data between those with and without epileptic events. RESULTS: Epilepsy was confirmed in six patients, psychogenic non-epileptic seizures (NES) were diagnosed in seven, one patient had NES and epilepsy whereas the recorded events were non-conclusive in two. NES patients had a higher predisposition to psychiatric disturbances (P<0.02). Following VEM and management alteration, the frequency of monthly events decreased significantly for the cohort as a whole (P<0.001). VEM directly influenced the diagnosis, treatment and outcome of 14 of 16 (88%) patients. CONCLUSION: Video-EEM plays a vital role in the evaluation of paroxysmal events in the elderly, but is vastly underutilized in this population group.     

Psychiatric diagnoses of patients with psychogenic non-epileptic seizures.

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

儿童非癫痫性发作

目的 :探讨儿童非癫痫性发作的各种临床表现形式。方法 :对 35例非癫痫性发作患儿的临床结合脑电图监测进行分析。结果 :35例儿童非癫痫发作中 ,生理性发作占 5 1% ,且平均年龄最小 ,全部患儿经 2 4小时脑电图或录相监测脑电图检查发作间期和 /或发作期均无异常放电 ;本组误诊 2 1例 ,其中癫痫 10例。结论 :儿童的非癫痫性发作表现形式多样 ,以生理性发作最多。儿童非癫痫性发作易误诊为癫痫及其它疾病 ,应用动态脑电图监测对其诊断及鉴别诊断有重要意义。     

Conversion disorder and coexisting nonepileptic seizures in patients with refractory seizures

Nonepileptic seizures (NES) are commonly observed in patients with seizures resistant to antiepileptic drugs (AEDs). However, NES may be symptomatic of different diagnoses, in particular, conversion disorder (CD) and coexisting NES and epileptic seizures (CENES). We compared the clinical characteristics of these disorders in 219 patients with refractory seizures. The prevalence of NES was similar in children (11%) and adults (16%). In both groups, CENES represented the most frequent cause of NES (75%). In adults, CD was associated with a shorter duration of illness and normal neuroimaging and interictal EEG compared with the other groups. Patients with CD represented one-quarter of all patients with AED-resistant seizures with normal presentation during interictal investigations. In both children and adults with AED-resistant seizures, NES are frequently observed and are three times more likely to be CENES than CD.     

Non-epileptic seizures of the elderly

OBJECTIVE: To characterize non-epileptic seizures (NES) in the elderly and compare their features with NES of a younger control group. METHODS: The database of the epilepsy monitoring unit of the Cleveland Clinic Foundation (CCF) was searched for patients aged 60 years and older having undergone long-term video-/EEG monitoring between 1994 and 2002, with the subsequent diagnosis of NES. Videotapes of all events were evaluated by independent observers. NES were classified based on the clinical manifestations recorded on video, EEG and imaging data, and compared with a control group of younger adults with NES. RESULTS : Thirty-nine elderly patients were included. Seventeen of them (44%) had NES only, six (15%) had both epilepsy and NES. The control group consisted of 20 patients, two of them had NES and epilepsy. The NES were classified as physiological in 10 elderly patients (43%) and one control patient. They included TIA, syncope, movement disorders and sleep disorders. Psychogenic NES were found in 13 elderly and 19 control patients and were associated with somatoform disorders, anxiety disorders, mood disorders and reinforced behavior pattern. Psychogenic NES consisted of predominant motor activity in 8 (61%) elderly and 13 (68%) control patients, unresponsiveness in 4 (31%) elderly and 2 (11%) control patients and subjective symptoms in 1 (8%) elderly and 4 (21%) control patients. Twelve (71%) of the patients of each group without evidence for epilepsy were on anticonvulsant drugs at the time of admission. CONCLUSION: NES are a frequent problem in elderly patients referred to a comprehensive epilepsy center. In contrast to a younger control group, physiological and psychogenic NES are equally frequent in the elderly. Loss of responsiveness was seen in only 20% of patients with psychogenic NES. Although most of the patients did not have any evidence for epilepsy, more than two thirds of these patients had been placed on anticonvulsive drugs.     

Characteristics of patients with nonepileptic seizures

The personality features, neuropsychological data, and ictal characteristics of 23 patients with nonepileptic seizures (NES) were compared to 25 patients with EEG-confirmed epileptic seizure (ES) disorders. A distinctive pattern of seizure, behavior, and personality features was evident in NES patients. NES was characterized by later disease onset and shorter disease duration. NES tends to last significantly longer than ES and rarely results in tongue-biting or self-injury. Patients who develop NES frequently have witnessed seizures prior to developing the disorder and have greater somatic concerns than patients with ES. Neuropsychological group data failed to differentiate NES from ES. However, the absence of group differences may reflect heterogeneity within the NES population. Although many NES patients performed well within normal limits on all neuropsychological measures, most were mildly to severely impaired. Qualitative analysis of neuropsychological data also revealed inconsistencies within the NES group. These findings suggest that a more global neurobehavioral profile may be useful in the diagnosis of NES. Future studies of NES must also recognize that important individual differences may be masked within group data.     

Nonepileptic seizures after resective epilepsy surgery

PURPOSE: To identify factors that are associated with the emergence of nonepileptic seizures (NES) after resective epilepsy surgery. METHODS: Twenty-two patients with medically refractory epilepsy in whom NESs were documented by EEG after resective surgery were compared with a larger series of epilepsy surgery patients on demographic, neurologic, and psychiatric variables. RESULTS: NES tended to become apparent in the first few months after surgery. Patients who developed NESs did not differ from other epilepsy surgery patients in terms of age, IQ, or preoperative psychiatric diagnoses. However, surgical NES patients' neurologic problems and seizures began later in life, the NES group included a larger proportion of female subjects and patients with right hemisphere surgery, and NES patients were more likely to develop non-NES psychiatric problems after surgery. CONCLUSIONS: The heterogeneous collection of behaviors subsumed under the label NESs are determined by multiple factors. Several variables were found to be specifically associated with the development of NES after resective epilepsy surgery: A disproportionate number of postsurgical NES patients are female, they have primary neurologic dysfunction in the right hemisphere, and their epileptic seizures often began after adolescence. We propose that at least one group of patients with somatoform tendencies develop NESs as part of the psychiatric instability that occurs often in the few months after resective surgery.