Faculty Bibliography

OBJECTIVE:To analyze electronic diary (e-diary) use in a phase 2, randomized, controlled clinical trial (OPUS; NCT03283371) of natalizumab in adult participants with drug-resistant focal epilepsy. METHODS:We developed an e-diary, which incorporated an episodic seizure diary and a daily diary reminder, for use as the primary source to record participants' daily seizure activity in the OPUS phase 2 clinical trial. Participants and/or their designated caregivers made e-diary entries by selecting seizure descriptions generated in the participants' and/or caregivers' own words at the time of screening. Seizures and seizure-free days were reported for the current day and for up to 5 and 4 retrospective days, respectively. A record of seizure symptoms entered within the prior 5-day period was displayed on accessing the diary. Changes were not permitted in the e-diary once a seizure record was saved unless a data change request was made. A paper backup diary was available. RESULTS:E-diary entries (N = 15,176) from the 6-week baseline period and subsequent 24-week placebo-controlled period were analyzed for 66 adults who were randomized and dosed in the OPUS trial. The overall e-diary compliance, defined as the total number of days with any entry out of the total number of days in the baseline and placebo-controlled periods for all participants combined, was 83.6%. Caregivers made 190 (1.3%) e-diary entries. Day-of-event e-diary entries totaled 11,248 (74.1%). At least one paper backup diary was used by 36 (54.5%) participants. SIGNIFICANCE:Our data highlight that good e-diary compliance can be achieved across participants in randomized clinical trials in adult focal epilepsy. In addition to identifying and addressing any barriers that may prevent a minority of participants from achieving good e-diary compliance, consideration of e-diary elements, such as recall period and reporting of seizure-free days, will facilitate the most accurate data capture in epilepsy clinical trials.

BACKGROUND AND PURPOSE/OBJECTIVE:Perfusion imaging can risk stratify patients with symptomatic intracranial stenosis. We aim to determine the association between perfusion delay and length of hospital stay (LOS) in symptomatic middle cerebral artery (MCA) stenosis patients. METHODS:This is a retrospective study of consecutive patients admitted to a comprehensive stroke center over 5 years with ischemic stroke or transient ischemic attack (TIA) within 7 days of symptom onset due to MCA stenosis (50-99%) and underwent perfusion imaging. Patients were divided into three groups: mismatch volume ≥ 15 cc based on T max > 6 second delay, T max 4-6 second delay, and <4 second delay. The outcome was LOS, both as a continuous variable and categorical (≥7 days [prolonged LOS] vs. <7 days). We used adjusted regression analyses to determine the association between perfusion categories and LOS. RESULTS:One hundred and seventy eight of 194 patients met the inclusion criteria. After adjusting for age and NIHSS, T max >6 second mismatch was associated with prolonged LOS (OR 2.94 95% CI 1.06-8.18; P = .039), but T max 4-6 second was not (OR 1.45 95% CI .46-4.58, P = .528). We found similar associations when LOS was a continuous variable for T max > 6 second (β coefficient = 2.01, 95% CI .05-3.97, P = .044) and T max 4-6 second (β coefficient = 1.24, 95% CI -.85 to 3.34, P = .244). CONCLUSION/CONCLUSIONS:In patients with symptomatic MCA stenosis, T max > 6 second perfusion delay is associated with prolonged LOS. Prospective studies are needed to validate our findings.

Image labeling using convolutional neural networks (CNNs) are a template-free alternative to traditional morphometric techniques. We trained a 3D deep CNN to label the hippocampus and amygdala on whole brain 700 μm isotropic 3D MP2RAGE MRI acquired at 7T. Manual labels of the hippocampus and amygdala were used to (i) train the predictive model and (ii) evaluate performance of the model when applied to new scans. Healthy controls and individuals with epilepsy were included in our analyses. Twenty-one healthy controls and sixteen individuals with epilepsy were included in the study. We utilized the recently developed DeepMedic software to train a CNN to label the hippocampus and amygdala based on manual labels. Performance was evaluated by measuring the dice similarity coefficient (DSC) between CNN-based and manual labels. A leave-one-out cross validation scheme was used. CNN-based and manual volume estimates were compared for the left and right hippocampus and amygdala in healthy controls and epilepsy cases. The CNN-based technique successfully labeled the hippocampus and amygdala in all cases. Mean DSC = 0.88 ± 0.03 for the hippocampus and 0.8 ± 0.06 for the amygdala. CNN-based labeling was independent of epilepsy diagnosis in our sample (p = .91). CNN-based volume estimates were highly correlated with manual volume estimates in epilepsy cases and controls. CNNs can label the hippocampus and amygdala on native sub-mm resolution MP2RAGE 7T MRI. Our findings suggest deep learning techniques can advance development of morphometric analysis techniques for high field strength, high spatial resolution brain MRI.

OBJECTIVE:We sought to investigate the patient experience of telemedicine for headache care during the coronavirus disease 2019 (COVID-19) pandemic. BACKGROUND:The use of telemedicine has rapidly expanded and evolved since the beginning of the COVID-19 pandemic. Telemedicine eliminates the physical and geographic barriers to health care, preserves personal protective equipment, and prevents the spread of COVID-19 by allowing encounters to happen in a socially distanced way. However, few studies have assessed the patient perspective of telemedicine for headache care. METHODS:The American Migraine Foundation (AMF) designed a standardized electronic questionnaire to assess the patient experience of telemedicine for headache care between March and September 2020 to help inform future quality improvement as part of its patient advocacy initiative. The date parameters were identified as the emergence of severe acute respiratory syndrome coronavirus 2 disease and the declaration of a national emergency in the United States. The questionnaire was distributed electronically to more than 100,000 members of the AMF community through social media platforms and the AMF email database. RESULTS:A total of 1172 patients responded to our electronic questionnaire, with 1098 complete responses. The majority, 1081/1153 (93.8%) patients, had a previous headache diagnosis prior to the telemedicine encounter. A total of 648/1127 (57.5%) patients reported that they had used telemedicine for headache care during the study period. Among those who participated in telehealth visits, 553/647 (85.5%) patients used it for follow-up visits; 94/647 (14.5%) patients used it for new patient visits. During the telemedicine encounters, 282/645 (43.7%) patients were evaluated by headache specialists, 222/645 (34.4%) patients by general neurologists, 198/645 (30.7%) patients by primary care providers, 73/645 (11.3%) patients by headache nurse practitioners, and 21/645 (3.2%) patients by headache nurses. Only 47/633 (7.4%) patients received a new headache diagnosis from telemedicine evaluation, whereas the other 586/633 (92.6%) patients did not have a change in their diagnoses. During these visits, a new treatment was prescribed for 358/636 (52.3%) patients, whereas 278/636 (43.7%) patients did not have changes made to their treatment plan. The number (%) of patients who rated the telemedicine headache care experience as "very good," "good," "fair," "poor," and "other" were 396/638 (62.1%), 132/638 (20.7%), 67/638 (10.5%), 23/638 (3.6%), and 20/638 (3.1%), respectively. Detailed reasons for "other" are listed in the manuscript. Most patients, 573/638 (89.8%), indicated that they would prefer to continue to use telemedicine for their headache care, 45/638 (7.1%) patients would not, and 20/638 (3.1%) patients were unsure. CONCLUSIONS:Our study evaluating the patient perspective demonstrated that telemedicine facilitated headache care for many patients during the COVID-19 pandemic, resulting in high patient satisfaction rates, and a desire to continue to use telemedicine for future headache care among those who completed the online survey.

Peripheral neuropathy is one of the most prevalent neurologic conditions encountered by neurologists and nonneurologists. Geriatricians and primary care physicians often face the task of screening patients for early neuropathy when they have underlying conditions such as diabetes mellitus and evaluating patients who report new symptoms that suggest neuropathy. An understanding about different forms of neuropathies based on anatomic pattern and type of nerve fiber involvement and ability to perform basic neurologic examination reliably can help determine how to pursue further investigations and identify those patients who are likely to benefit from early specialist referral.

OBJECTIVE:1) to describe the clinical manifestations of functional motor disorders (FMDs) coexisting with other neurological diseases ("comorbid-FMDs"); 2) to compare comorbid-FMDs to FMDs not overlapping with other neurological diseases ("pure FMDs"). METHODS:For this multicenter observational study, we enrolled outpatients with a definite diagnosis of FMDs attending 25 tertiary movement disorders centers in Italy. Each subject with FMDs underwent a detailed clinical assessment including screening for other associated neurological conditions. Groups comparisons (comorbid-FMDs versus pure-FMDs) were performed in order to compare demographical and clinical variables. Logistic regression models were created to estimate adjusted odds ratio (OR; 95% confidence interval) of comorbid-FMDs (dependent variable) in relation to sociodemographic and clinical characteristics (independent variables). RESULTS:Out of 410 FMDs, 21.7% (n=89) of patients had comorbid-FMDs. The most frequent coexisting neurological diseases were migraine, cerebrovascular disease and parkinsonism. In the majority of cases (86.5%) FMDs appeared after the diagnosis of neurological disease. Patients with comorbid-FMDs were older, had more frequent tremor, non-neurological comorbidities, paroxysmal non-epileptic seizures, major depressive disorders, and benzodiazepine intake. Multivariate regression analysis showed that diagnosis of comorbid-FMDs was more likely associated with longer time lag to reach the final diagnosis of FMDs, presence of tremor and non-neurological comorbidities. CONCLUSIONS:Our findings highlight the need of a prompt diagnosis of FMDs, given their relatively high frequency of associated neurological and non-neurological diseases.

Adoption of middle meningeal artery embolization in the management of chronic subdural hematomas has led to a renewed interest in dural vascular anatomy. The readily identifiable major dural arteries and potential hazards associated with their embolization are well described. Less emphasized are several levels of intrinsic dural angioarchitecture, despite their more direct relationship to dural based diseases, such as subdural hematoma and dural fistula. Fortunately, microvascular aspects of dural anatomy, previously limited to ex vivo investigations, are becoming increasingly accessible to in vivo visualization, setting the stage for synthesis of the old and the new, and providing a rationale for the endovascular approach to subdural collections in particular. In contrast with traditional anatomical didactics, where descriptions advance from larger trunks to smaller pedicles, we present a strategic approach that proceeds from a fundamental understanding of the dural microvasculature and its relationship to larger vessels.

The objective of this study was to describe serological association of musicogenic epilepsy and to evaluate clinical features and outcomes of seropositive cases. Through retrospective chart review, musicogenic epilepsy patients were identified. Among 16 musicogenic epilepsy patients, nine underwent autoantibody evaluations and all had high-titer glutamic acid decarboxylase 65-immunoglobulin G (GAD65-IgG; >20 nmol·L^-1 , serum, normal ≤ .02 nmol·L^-1 , eight women). Median GAD65-IgG serum titer was 294 nmol·L^-1 (20.3-3005 nmol·L^-1 ), and median cerebrospinal fluid titer (n = 4) was 14.7 nmol·L^-1 . All patients had temporal lobe epilepsy, and bitemporal epileptiform abnormalities were common. Right temporal lobe seizures were most frequently captured when seizures were induced by music on electroencephalogram (3/4; 75%). Intravenous (IV) methylprednisolone and/or IV Ig (IVIG) was utilized in four patients, with one having greater than 50% reduction. Rituximab (n = 2) and mycophenolate (n = 1) were ineffective. Two patients underwent right temporal lobe resections but continued to have seizures. Vagus nerve stimulation was effective at reducing seizures in one patient by 50%, and an additional patient was seizure-free by avoiding provoking music. Right temporal lobe epilepsy was more common among patients with musicogenic epilepsy when compared to nonmusicogenic GAD65 epilepsies (n = 71, 89% vs. 47%, p = .03). GAD65-IgG should be tested in patients with musicogenic epilepsy, given implications for management and screening for comorbid autoimmune conditions.

Intracerebral hemorrhage (ICH) can be a devastating complication of coronavirus disease (COVID-19). We aimed to assess risk factors associated with ICH in this population. We performed a retrospective cohort study of adult patients admitted to NYU Langone Health system between March 1 and April 27 2020 with a positive nasopharyngeal swab polymerase chain reaction test result and presence of primary nontraumatic intracranial hemorrhage or hemorrhagic conversion of ischemic stroke on neuroimaging. Patients with intracranial procedures, malignancy, or vascular malformation were excluded. We used regression models to estimate odds ratios and 95% confidence intervals (OR, 95% CI) of the association between ICH and covariates. We also used regression models to determine association between ICH and mortality. Among 3824 patients admitted with COVID-19, 755 patients had neuroimaging and 416 patients were identified after exclusion criteria were applied. The mean (standard deviation) age was 69.3 (16.2), 35.8% were women, and 34.9% were on therapeutic anticoagulation. ICH occurred in 33 (7.9%) patients. Older age, non-Caucasian race, respiratory failure requiring mechanical ventilation, and therapeutic anticoagulation were associated with ICH on univariate analysis (p < 0.01 for each variable). In adjusted regression models, anticoagulation use was associated with a five-fold increased risk of ICH (OR 5.26, 95% CI 2.33-12.24, p < 0.001). ICH was associated with increased mortality (adjusted OR 2.6, 95 % CI 1.2-5.9). Anticoagulation use is associated with increased risk of ICH in patients with COVID-19. Further investigation is required to elucidate underlying mechanisms and prevention strategies in this population.

OBJECTIVE:To characterize patients with coronavirus disease 2019 (COVID-19) who presented primarily with neurologic symptoms without typical COVID-19 symptoms of fever, cough, and dyspnea. METHODS:We retrospectively identified COVID-19-positive patients 18 years and older that had neurology symptoms on presentation requiring neurology consultation between March 14, 2020 and May 18, 2020. The patients were then classified into those with typical COVID-19 symptoms and those without. Demographic, clinical symptoms, laboratory result, and clinical outcomes were collected. RESULTS:Out of 282 patients who had neurology consult during this period, we identified 56 (mean age 69.2 years, 57% women) who tested COVID-19-positive and had neurologic symptoms on initial presentation. Of these, 23 patients (mean age 65.2 years, 52% women) had no typical COVID-19 symptoms while 33 did (mean age 72.2 years, 60% woman). In both groups, impaired consciousness was the most common initial neurologic symptom, followed by stroke, unsteady gait, headache, seizure, syncopal event, acute vision changes, and intracranial hemorrhage. Out of the 23 patients without typical COVID-19 symptoms on presentation, 10 went on to develop typical symptoms with 8 needing supplemental oxygen and one requiring mechanical ventilation. CONCLUSION/CONCLUSIONS:Patients who have COVID-19 can present with serious neurologic symptoms such as impaired consciousness and stroke even without typical COVID-19 symptoms. Those without typical COVID-19 symptoms can later develop typical symptoms severe enough to need respiratory support.