Tatum, William O.

Abstract BACKGROUND AND IMPORTANCE Data supporting the use of electrocorticography (ECoG) monitoring during electrical stimulation in awake craniotomies for resection of supratentorial neoplasms is robust, but its applicability during active resection is often limited by the inability to keep the array in place. Given the known survival benefit of gross total resection in glioma surgery, novel approaches to surgical monitoring are warranted to maximize safe resection and optimize surgical outcomes in patients with glioblastoma. CLINICAL PRESENTATION A 68-yr-old right-handed woman presented to the emergency department with confusion. Imaging studies revealed a bifrontal intra-axial brain lesion. She underwent a left-sided awake craniotomy procedure with cortical and subcortical mapping. During surgical resection, multiple electrographic seizures were detected on continuous ECoG monitoring with a customized 22-channel high-density hollow circular array. She remained without clinical evidence of seizures at 3 mo after surgery. CONCLUSION We report a unique case of serial electrographic seizures detected during continuous intraoperative ECoG monitoring during active surgical resection of a glioblastoma using a novel circular hollow array during an awake craniotomy. The use of continuous ECoG monitoring during active resection may provide additional data, with potential influence in outcomes for patients undergoing resection of high-grade glial neoplasms.

AbstractVideo‐EEG monitoring is an established gold‐standard procedure for diagnosis and differentiation of epileptic and non‐epileptic seizures. Epilepsy misdiagnosis, to which factors such as EEG artifact misinterpretation contribute to, is common, and can have long‐lasting iatrogenic repercussions to the clinical management of affected patients. Among the many types of responses to photic stimulation, artifacts and physiologic and epileptic responses are possible. All of these can interfere with EEG interpretation when provoked by a source of illumination. Photic‐induced responses are of increasing relevance given the ubiquity of screens and other light‐emitting electronics in our modern world. One of these, the photoparoxysmal response, is a frequent finding in photosensitive patients with genetic generalized epilepsies. Various responses beyond abnormal occurrence of cortical spikes or spike‐and‐wave discharges are known to occur on EEG in response to intermittent photic stimulation (IPS), with different clinical implications. To our knowledge, we report a unique electronegative photoparoxysmal response during video‐EEG monitoring induced by fluctuating illumination caused by a distant television screen. This response mimicked an extratemporal seizure in a young woman with frontal lobe epilepsy, admitted for presurgical evaluation. Novel electronegative responses to electronic devices during video‐EEG monitoring merit consideration by EEG interpreters to help avoid misdiagnosis.

Abstract The objective of this clinical practice guideline (CPG) is to provide recommendations for healthcare personnel working with patients with epilepsy on the use of wearable devices for automated seizure detection in patients with epilepsy, in outpatient, ambulatory settings. The Working Group of the International League Against Epilepsy (ILAE) and the International Federation of Clinical Neurophysiology (IFCN) developed the CPG according to the methodology proposed by the ILAE Epilepsy Guidelines Working Group. We reviewed the published evidence using The Preferred Reporting Items for Systematic Review and Meta‐Analysis (PRISMA) statement and evaluated the evidence and formulated the recommendations following the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. We found high level of evidence for the accuracy of automated detection of generalized tonic‐clonic seizures (GTCS) and focal‐to‐bilateral tonic‐clonic seizures (FBTCS) and recommend the use of wearable automated seizure detection devices for selected patients when accurate detection of GTCS and FBTCS is recommended as a clinical adjunct. We also found a moderate level of evidence for seizure types without GTCS or FBTCS. However, it was uncertain whether the detected alarms resulted in meaningful clinical outcomes for the patients. We recommend using clinically validated devices for automated detection of GTCS and FBTCS, especially in unsupervised patients, where alarms can result in rapid intervention (weak/conditional recommendation). At present, we do not recommend clinical use of the currently available devices for other seizure types (weak/conditional recommendation). Further research and development are needed to improve the performance of automated seizure detection and to document their accuracy and clinical utility.

Summary: Long-term video-EEG monitoring has been the gold standard for diagnosis of epileptic and nonepileptic events. Medication changes, safety, and a lack of recording EEG in one's habitual environment may interfere with diagnostic representation and subsequently affect management. Some spells defy standard EEG because of ultradian and circadian times of occurrence, manifest nocturnal expression of epileptiform activity, and require classification for clarifying diagnostic input to identify optimal treatment. Some patients may be unaware of seizures, have frequent events, or subclinical seizures that require quantification before optimal management. The influence on antiseizure drug management and clinical drug research can be enlightened by long-term outpatient ambulatory EEG monitoring. With recent governmental shifts to focus on mobile health, ambulatory EEG monitoring has grown beyond diagnostic capabilities to target the dynamic effects of medical and nonmedical treatment for patients with epilepsy in their natural environment. Furthermore, newer applications in ambulatory monitoring include additional physiologic parameters (e.g., sleep, detection of myogenic signals, etc.) and extend treatment relevance to patients beyond seizure reduction alone addressing comorbid conditions. It is with this focus in mind that we direct our discussion on the present and future aspects of using ambulatory EEG monitoring in the treatment of patients with epilepsy.

Abstract Background and purpose The aim of this study was to evaluate the quality of smartphone videos (SVs) of neurologic events in adult epilepsy outpatients. The use of home video recording in patients with neurological disease states is increasing. Experts interpretation of outpatient smartphone videos of seizures and neurological events has demonstrated similar diagnostic accuracy to inpatient video‐electroencephalography (EEG) monitoring. Methods A prospective, multicenter cohort study was conducted to evaluate SV quality in patients with paroxysmal neurologic events from August 15, 2015 through August 31, 2018. Epileptic seizures (ESs), psychogenic nonepileptic attacks (PNEAs), and physiologic nonepileptic events (PhysNEEs) were confirmed by video‐EEG monitoring. Experts and senior neurology residents blindly viewed cloud‐based SVs without clinical information. Quality ratings with regard to technical and operator‐driven metrics were provided in responses to a survey. Results Forty‐four patients (31 women, age 45.1 years [ r = 20–82]) were included and 530 SVs were viewed by a mean of seven experts and six residents; one video per patient was reviewed for a mean of 133.8 s ( r = 9–543). In all, 30 patients had PNEAs, 11 had ESs, and three had PhysNEEs. Quality was suitable in 70.8% of SVs (375/530 total views), with 36/44 (81.8%) patient SVs rated as adequate by the majority of reviewers. Accuracy improved with the presence of convulsive features from 72.4% to 98.2% in ESs and from 71.1% to 95.7% in PNEAs. An accurate diagnosis was given by all reviewers (100%) in 11/44 SVs (all PNEAs). Audio was rated as good by 86.2% of reviewers for these SVs compared with 75.4% for the remaining SVs ( p = 0.01). Lighting was better in SVs associated with high accuracy ( p = 0.06), but clarity was not ( p = 0.59). Poor video quality yielded unknown diagnoses in 24.2% of the SVs reviewed. Features hindering diagnosis were limited interactivity, restricted field of view and short video duration. Conclusions Smartphone video quality is adequate for clinical interpretation in the majority of patients with paroxysmal neurologic events. Quality can be optimized by encouraging interactivity with the patient, adequate duration of the SV, and enlarged field of view during videography. Quality limitations were primarily operational though accuracy remained for SV review of ESs and PNEAs.

AbstractAims Abdominal epilepsy (AE) has long been reported as a rare phenomenon in children with various episodic gastrointestinal sensory and painful symptoms suspected to be due to epileptic seizures. Originally, AE was diagnosed when abdominal sensory or painful symptoms were associated with pain, temporal lobe origin, an epileptiform or paroxysmal EEG pattern, and a clinical response to antiseizure medication. AE has also been associated with non‐epileptic etiologies such as migraine. Reports of abdominal epilepsy based on an abnormal EEG or clinical response to antiseizure medication without diagnosis confirmation by video‐EEG are at best speculative, and at worst, misdiagnoses.Methods We describe three adult patients with focal aware motor seizures manifesting as recurrent, isolated prolonged painless rhythmic clonic jerking of the abdominal musculature including epilepsia partialis continua.Results All patients had a contralateral structural lesion on high‐resolution brain MRI in the abdominal region of the motor homunculus. Standard EEG was unrevealing and only after extra EEG electrodes and video‐EEG monitoring was the ictal origin confirmed.Conclusions Historically, AE has been described as a disorder involving subjective sensory symptoms including vague abdominal pain, instead of epileptic motor signs of abdominal clonic jerking. We recommend replacing the use of vague terms such as AE with International League Against Epilepsy terminology along with diagnostic confirmation validated by video‐EEG monitoring. [Published with video sequence].

ABSTRACTDespite advancements in the neurophysiology of language and presurgical evaluation for epilepsy surgery, there is a paucity of information in the literature regarding presurgical evaluation of multilingual patients. We present a case of a 52‐year‐old right‐handed woman with refractory epilepsy who was fluent in six languages and underwent subsequent trilingual presurgical evaluation which included neuropsychological testing, Wada testing, functional magnetic resonance imaging (fMRI), and electrocortical stimulation. These studies suggested a seizure focus in the left temporal lobe and language localization that was predominantly right‐hemispheric; she subsequently underwent left temporal laser interstitial thermal therapy without clinical disturbance in language function while remaining seizure‐free. A multidisciplinary effort was integral in providing an optimal outcome for this patient.