Prevalence and distribution of MRI abnormalities in patients with psychogenic nonepileptic events.

INTRODUCTION: Both structural and functional abnormalities have been reported in patients with psychogenic nonepileptic events (PNEEs), although no truly consistent abnormalities have been found. METHODS: We retrospectively identified patients discharged from our EMU with video-EEG diagnoses of epileptic seizures, PNEEs, epileptic seizures plus PNEEs, interictal epileptiform abnormalities only, and nondiagnostic admissions. We then collected brain MRI results for analysis. RESULTS: We found significant brain MRI abnormalities in 33.8% of patients with PNEEs, clearly higher than the rate of brain MRI abnormalities in the healthy population. In addition, we found statistically significant differences in the locations of brain MRI abnormalities in patients with epileptic seizures (more frequently temporal) versus PNEEs (more frequently multifocal). CONCLUSION: This multifocal nature of abnormalities in patients with psychogenic nonepileptic events may help to explain the underlying pathophysiology as it relates to psychiatric disorders which are so frequently comorbid with PNEEs.

Effect of lunar phase on frequency of psychogenic nonepileptic events in the EMU.

INTRODUCTION: Studies of the effect of a full moon on seizures have yielded mixed results, despite a continuing prevailing belief regarding the association of lunar phase with human behavior. The potential effect of a full moon on psychogenic nonepileptic events has not been as well studied, despite what anecdotal accounts from most epilepsy monitoring unit (EMU) staff would suggest. METHODS: We obtained the dates and times of all events from patients diagnosed with psychogenic nonepileptic events discharged from our EMU over a two-year period. The events were then plotted on a 29.5-day lunar calendar. Events were also broken down into lunar quarters for statistical analysis. RESULTS: We found a statistically significant increase in psychogenic nonepileptic events during the new moon quarter in our EMU during our studied timeframe. CONCLUSION: Our results are not concordant with the results of a similarly designed past study, raising the possibility that psychogenic nonepileptic events are not influenced by lunar phase.

Diagnostic outcomes of inpatient video electroencephalography: nonepileptic events in South Carolina.

The Epilepsy Monitoring Unit (EMU) was established at the Medical University Hospital to assist in the diagnosis of epilepsy and the evaluation of other paroxysmal neurological symptoms, including non-epileptic events (NEEs), which are often confused with epileptic seizures. Correct diagnosis can prevent inappropriate treatment with antiepileptic drugs, avoid some of the restrictions imposed by epileptic seizures, and facilitate appropriate treatment for NEEs. A retrospective review of patients admitted to the EMU over a two year period showed the percentage of patients diagnosed with NEEs (39%) is greater than those diagnosed with epilepsy alone (36%). This incidence of NEE is higher than in other academic medical centers. The explanations for this disparity are not fully defined, but warrant further study as to patient demographics, risk factors, and referral patterns in South Carolina. The average time from when patients began having events to accurate diagnosis of NEEs was 4.5 years, and 21 patients had NEEs for at least 10 years prior to diagnosis.

Unique case of "post-lumbar puncture headache".

Lumbar puncture (LP) is associated with complications that include post-LP orthostatic headache, local bleeding, and subdural hematoma. We report a unique case of a spontaneous frontal epidural hematoma following a therapeutic lumbar puncture in a patient with a history of idiopathic intracranial hypertension. This case highlights the importance of symptomatology in patients following LPs by revealing a rare intracranial presentation that would be devastating if not discovered promptly and appropriately managed.

Standardized database development for EEG epileptiform transient detection: EEGnet scoring system and machine learning analysis.

The routine scalp electroencephalogram (rsEEG) is the most common clinical neurophysiology procedure. The most important role of rsEEG is to detect evidence of epilepsy, in the form of epileptiform transients (ETs), also known as spike or sharp wave discharges. Due to the wide variety of morphologies of ETs and their similarity to artifacts and waves that are part of the normal background activity, the task of ET detection is difficult and mistakes are frequently made. The development of reliable computerized detection of ETs in the EEG could assist physicians in interpreting rsEEGs. We report progress in developing a standardized database for testing and training ET detection algorithms. We describe a new version of our EEGnet software system for collecting expert opinion on EEG datasets, a completely web-browser based system. We report results of EEG scoring from a group of 11 board-certified academic clinical neurophysiologists who annotated 30-s excepts from rsEEG recordings from 100 different patients. The scorers had moderate inter-scorer reliability and low to moderate intra-scorer reliability. In order to measure the optimal size of this standardized rsEEG database, we used machine learning models to classify paroxysmal EEG activity in our database into ET and non-ET classes. Based on our results, it appears that our database will need to be larger than its current size. Also, our non-parametric classifier, an artificial neural network, performed better than our parametric Bayesian classifier. Of our feature sets, the wavelet feature set proved most useful for classification.

Transient epileptic amnesia: a neurosurgical case report.

One memory disorder that is potentially treatable with antiepileptic drugs is transient epileptic amnesia (TEA). Working diagnostic consensus criteria for TEA include: (1) a history of recurrent witnessed episodes of transient amnesia; (2) confirmation by a reliable witness that cognitive functions other than memory are intact during typical episodes; and (3) evidence for a diagnosis of epilepsy. We describe a case with both complex partial seizures and episodes of TEA. This is the first reported case of a neurosurgical intervention for symptoms resembling those described in refractory TEA. Video/EEG, 3-T MRI, neuropathology, and neurological as well as neuropsychological findings are presented with postsurgical clinical outcome. The patient underwent right anterior amygdalohippocampectomy for symptoms resembling refractory TEA with additional complex partial seizures at our epilepsy surgical center. She remained seizure free at the 15-month follow-up, and memory complaints remitted. This case report illustrates one memory disorder, transient epileptic amnesia, that is potentially treatable with antiepileptic drugs or surgery.

Web-based collection of expert opinion on routine scalp EEG: software development and interrater reliability.

Computerized detection of epileptiform transients (ETs), characterized by interictal spikes and sharp waves in the EEG, has been a research goal for the last 40 years. A reliable method for detecting ETs would assist physicians in interpretation and improve efficiency in reviewing long-term EEG recordings. Computer algorithms developed thus far for detecting ETs are not as reliable as human experts, primarily due to the large number of false-positive detections. Comparing the performance of different algorithms is difficult because each study uses individual EEG test datasets. In this article, we present EEGnet, a distributed web-based platform for the acquisition and analysis of large-scale training datasets for comparison of different EEG ET detection algorithms. This software allows EEG scorers to log in through the web, mark EEG segments of interest, and categorize segments of interest using a conventional clinical EEG user interface. This software platform was used by seven board-certified academic epileptologists to score 40 short 30-second EEG segments from 40 patients, half containing ETs and half containing artifacts and normal variants. The software performance was adequate. Interrater reliability for marking the location of paroxysmal activity was low. Interrater reliability of marking artifacts and ETs was high and moderate, respectively.

Use of the Personality Assessment Inventory as an efficacious and cost-effective diagnostic tool for nonepileptic seizures.

Video electroencephalographic monitoring (VEEG) is considered the "gold standard" for making the differential diagnosis between epileptic seizures (ES) and nonepileptic seizures (NES), but is a costly, time-consuming procedure and not readily available in all communities. Of the various diagnostic techniques and measures that have been used, the Personality Assessment Inventory (PAI) has shown promise as an effective psychological screening tool to aid in the differential diagnosis of ES/NES. Using VEEG results as the outcome measure, this study examined the diagnostic effectiveness of the PAI in a group of adults with treatment-refractory seizures. Results indicated that, on psychological screening, patients with NES endorse significantly greater functional consequences of their seizure-like episodes than participants with ES. A "NES Indicator" score, calculated from the PAI Somatization subscales, provided a sensitivity of 84% and specificity of 73% for the diagnosis of NES versus ES. The PAI appears to be a useful screening tool prior to hospital admission for VEEG.

Transient Kluver-Bucy syndrome following complex partial status epilepticus.

The characteristic features of Kluver-Bucy syndrome include hypersexuality, hyperorality, placidity, hypermetamorphosis, visual agnosia, changes in dietary habits, and memory impairment. Human cases have been reported with herpes simplex encephalitis, head injury, Pick's disease, transtentorial herniation, adrenoleukodystrophy, and Reye's syndrome, all involving bilateral temporal lobe pathology. We present the case of a patient with no evidence of a structural lesion in the temporal lobes and behavioral changes consistent with Kluver-Bucy syndrome following complex partial status epilepticus.