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BACKGROUND AND OBJECTIVES: Seizures (SZs) and other SZ-like patterns of brain activity can harm the brain and contribute to in-hospital death, particularly when prolonged. However, experts qualified to interpret EEG data are scarce. Prior attempts to automate this task have been limited by small or inadequately labeled samples and have not convincingly demonstrated generalizable expert-level performance. There exists a critical unmet need for an automated method to classify SZs and other SZ-like events with expert-level reliability. This study was conducted to develop and validate a computer algorithm that matches the reliability and accuracy of experts in identifying SZs and SZ-like events, known as “ictal-interictal-injury continuum” (IIIC) patterns on EEG, including SZs, lateralized and generalized periodic discharges (LPD, GPD), and lateralized and generalized rhythmic delta activity (LRDA, GRDA), and in differentiating these patterns from non-IIIC patterns. METHODS: We used 6,095 scalp EEGs from 2,711 patients with and without IIIC events to train a deep neural network, SPaRCNet, to perform IIIC event classification. Independent training and test data sets were generated from 50,697 EEG segments, independently annotated by 20 fellowship-trained neurophysiologists. We assessed whether SPaRCNet performs at or above the sensitivity, specificity, precision, and calibration of fellowship-trained neurophysiologists for identifying IIIC events. Statistical performance was assessed by the calibration index and by the percentage of experts whose operating points were below the model's receiver operating characteristic curves (ROCs) and precision recall curves (PRCs) for the 6 pattern classes. RESULTS: SPaRCNet matches or exceeds most experts in classifying IIIC events based on both calibration and discrimination metrics. For SZ, LPD, GPD, LRDA, GRDA, and “other” classes, SPaRCNet exceeds the following percentages of 20 experts—ROC: 45%, 20%, 50%, 75%, 55%, and 40%; PRC: 50%, 35%, 50%, 90%, 70%, and 45%; and calibration: 95%, 100%, 95%, 100%, 100%, and 80%, respectively. DISCUSSION: SPaRCNet is the first algorithm to match expert performance in detecting SZs and other SZ-like events in a representative sample of EEGs. With further development, SPaRCNet may thus be a valuable tool for an expedited review of EEGs. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that among patients with epilepsy or critical illness undergoing EEG monitoring, SPaRCNet can differentiate (IIIC) patterns from non-IIIC events and expert neurophysiologists.

BACKGROUND AND OBJECTIVES: The validity of brain monitoring using electroencephalography (EEG), particularly to guide care in patients with acute or critical illness, requires that experts can reliably identify seizures and other potentially harmful rhythmic and periodic brain activity, collectively referred to as “ictal-interictal-injury continuum” (IIIC). Previous interrater reliability (IRR) studies are limited by small samples and selection bias. This study was conducted to assess the reliability of experts in identifying IIIC. METHODS: This prospective analysis included 30 experts with subspecialty clinical neurophysiology training from 18 institutions. Experts independently scored varying numbers of ten-second EEG segments as “seizure (SZ),” “lateralized periodic discharges (LPDs),” “generalized periodic discharges (GPDs),” “lateralized rhythmic delta activity (LRDA),” “generalized rhythmic delta activity (GRDA),” or “other.” EEGs were performed for clinical indications at Massachusetts General Hospital between 2006 and 2020. Primary outcome measures were pairwise IRR (average percent agreement [PA] between pairs of experts) and majority IRR (average PA with group consensus) for each class and beyond chance agreement (κ). Secondary outcomes were calibration of expert scoring to group consensus, and latent trait analysis to investigate contributions of bias and noise to scoring variability. RESULTS: Among 2,711 EEGs, 49% were from women, and the median (IQR) age was 55 (41) years. In total, experts scored 50,697 EEG segments; the median [range] number scored by each expert was 6,287.5 [1,002, 45,267]. Overall pairwise IRR was moderate (PA 52%, κ 42%), and majority IRR was substantial (PA 65%, κ 61%). Noise-bias analysis demonstrated that a single underlying receiver operating curve can account for most variation in experts' false-positive vs true-positive characteristics (median [range] of variance explained ([Image: see text]): 95 [93, 98]%) and for most variation in experts' precision vs sensitivity characteristics ([Image: see text]: 75 [59, 89]%). Thus, variation between experts is mostly attributable not to differences in expertise but rather to variation in decision thresholds. DISCUSSION: Our results provide precise estimates of expert reliability from a large and diverse sample and a parsimonious theory to explain the origin of disagreements between experts. The results also establish a standard for how well an automated IIIC classifier must perform to match experts. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that an independent expert review reliably identifies ictal-interictal injury continuum patterns on EEG compared with expert consensus.

A 48-year-old Caucasian woman with history of multiple sclerosis (MS) presented with erythematous papulonodular lesions in her extremities and trunk. She was being treated with glatiramer acetate (GA) for the past 10 years and the glatiramoid, Glatopa, for 2 years prior to this presentation. A skin biopsy showed CD30+ lymphoproliferative disorder consistent with lymphomatoid papulosis (LyP). Three weeks after stopping Glatopa, her skin lesions were improved. It remains unclear whether GA’s or Glatopa’s capability to alter T-cell differentiation, may have a link with LyP. This case report is a reminder to be vigilant for skin lesions in patients with MS.

Objective To assess feasibility, patient satisfaction, and financial advantages of telemedicine for epilepsy ambulatory care during the current COVID-19 pandemic. Methods The demographic and clinical characteristics of all consecutive patients evaluated via telemedicine at a level 4 epilepsy center between March 20 and April 20, 2020 were obtained retrospectively from electronic medical records. A telephone survey to assess patient satisfaction and preferences was conducted within one month following the initial visit. Results Among 223 telehealth patients, 85.7% used both synchronous audio and video technology. During the visits, 39% of patients had their anticonvulsants adjusted while 18.8% and 11.2% were referred to laboratory/diagnostic testing and specialty consults, respectively. In a post-visit survey, the highest degree of satisfaction with care was expressed by 76.9% of patients. The degree of satisfaction tended to increase the further a patient lived from the clinic (p = 0.05). Beyond the pandemic, 89% of patients reported a preference for continuing telemedicine if their epilepsy symptoms remained stable, while only 44.4% chose telemedicine should their symptoms worsen. Inclement weather and lack of transportation were factors favoring continued use of telemedicine. An estimated cost saving to patient attributed to telemedicine was $30.20 ± 3.8 per visit. Significance Our findings suggest that epilepsy care via telemedicine provided high satisfaction and economic benefit, without compromising patients’ quality of care, thereby supporting the use of virtual care during current and future epidemiological fallouts. Beyond the current pandemic, patients with stable seizure symptoms may prefer to use telemedicine for their epilepsy care.

Ictal syncope is a rare phenomenon that occurs in association with 0.002–0.4% of seizures. In the absence of other symptoms, seizures presenting with syncope may be challenging to diagnose. We report a case of a previously healthy male who developed recurrent episodes of syncope with postictal confusion and was later diagnosed with temporal seizures. The patient was successfully treated with anti-seizure drugs and placement of a cardiac pacemaker. In a systematic review of literature, we summarize the clinical characteristics of patients with ictal asystole and isolated syncope. Seizures should be considered in patients with syncope of uncertain etiology., Highlights • Focal seizures leading to bradycardia-asystole can be accompanied by sudden atonia with loss of consciousness • Ictal syncope as the only symptom of seizure represents an exceptionally rare phenomena that may mimic other paroxysmal neurological events • Patients with recurrent syncopal events of uncertain etiology should have seizures considered in the differential diagnosis

Background Driving restrictions in epilepsy are intended to safeguard public and personal safety; however, these limitations inhibit socialization, restrict employment, and reduce self-esteem in patients with seizures. A large proportion of patients with seizures continue to drive, and factors leading to noncompliance with driving regulations are poorly understood. Thus, the patients' perspective on driving safety is not incorporated into the existing counseling tools on driving safety in epilepsy. The present study assessed social, economic, and psychological perceptions related to driving restrictions in patients with refractory and pharmacotherapy-controlled seizures at the single epilepsy center and identified impediments for safe driving. Methods Data were obtained from an anonymous survey completed by 25 adult patients in the presurgical group (PG) with refractory epilepsy and 46 patients in the ambulatory group (AG) with confirmed epilepsy which did not meet criteria for refractoriness. The questionnaire (administered via Research Electronic Data Capture (REDCap)) addressed seizure and driving history, knowledge of driving restrictions, and social consequences of losing driving privileges. Results Eighty-seven percent of all responders experienced seizures with alteration of awareness; however, 34% of patients continued to drive during the time when they were legally restricted, and 6% had accidents related to seizures. All responders reported their seizure status accurately to the treating physician, and 93% understood state-based driving restrictions. The median time from the last seizure was shorter, and the duration of last driving restriction was longer in the PG compared with the AG (1 vs. 20 weeks, and 12 vs. 24 weeks, respectively). Despite that, the proportions of patients driving at the time of survey were not significantly different between the two groups. Nearly 80% of all patients stated that driving restrictions reduced their quality of life, and 70% believed that these restrictions carry a social stigma. Employment was chosen to be the most affected by driving restrictions from a list of four social domains by the majority of patients in both groups. Notably, the employment rate was 26% higher in the AG compared with the PG. The lack of public transportation was regarded as a hurdle by more than 60% of patients in each group with greater than two-thirds of patients relying on other drivers for transportation. Conclusions These findings suggest that patients with refractory and pharmacotherapy-controlled seizures are similarly likely to drive a vehicle, disregarding a practitioner's advice and state restrictions. The lack of public transportation is a shared constraint and likely leads to reduced compliance with driving regulations. Driving restrictions carry social stigma and limit the employment of patients with epilepsy, regardless of the refractory seizure status.

A 35-year-old man presented with progressive anosmia and no other complaints or findings. MRI brain showed extensive bifrontal edema and enhancement (figure, A–C). In retrospect, 7 years prior he had a neck mass with granulomata on biopsy, but had never received treatment for sarcoidosis. Clinical symptoms and MRI abnormalities improved (figure, D and E) with oral prednisone and methotrexate and he was diagnosed with probable neurosarcoidosis. Neurosarcoidosis is a rare etiology of anosmia but needs to be considered as a differential consideration.1 Anosmia in sarcoidosis is caused by an obstructed nose or neurosarcoidosis of the olfactory epithelium, bulb, or tract.2