Faculty Bibliography

Objective: To develop a clinical score to distinguish between the parkinsonian variant of multiple system atrophy (MSA-P) and Parkinson's disease (PD).
Background(s): The differential diagnosis between MSA-P and PD is often difficult, particularly early in the disease course.
Method(s): We compared patients with probable MSA-P and with PD with a disease duration of <3 years, selected from those who were enrolled in the Natural History Study of the Synucleinopathies, an international prospective observational study. Detailed clinical neurological, and autonomic parameters were assessed at enrollment using UMSARS part I, II and IV; Schrag quality of life (QoL) scale; burden of autonomic dysfunction by COMPASS-31 scale; smell function using the UPSIT; cardiovascular autonomic function using heart rate variability during deep-breathing, analysis of the Valsalva maneuver, orthostatic stress test, plasma catecholamine levels during supine rest and after head-up tilt; and cognitive evaluation using MoCA. Positive and negative likelihood ratios (LR) were obtained for each variable assessed. Multiple iterations of a composite score based on sequential addition of variables with the highest diagnostic accuracy were created by multiplying each variable's LR and applying a logarithmic function.
Result(s): Fifty-eight MSA-P and 53 PD patients had a disease duration of less than 3 years. The vast majority of patients had been diagnosed within the last 12 months (81% MSA-P and 66% PD patients). MSA-P patients were more frequently female (53% vs. 30% p<0.05) and younger at diagnosis (63+/-8 years vs. 71+/-8 years, p<0.001). A 7-item score comprising the bladder weighted subscore of the COMPASS-31, UMSARS's part 1, UPSIT, hyperreflexia, the motor subscore of Schrag's MSA quality of life scale, falls within 3 years of diagnosis, and new or increased snoring resulted in a ROC curve AUC of 0.983, with excellent 93% sensitivity and 98% specificity to distinguish early MSA-P from PD.
Conclusion(s): We propose a scale of 7 clinical items to distinguish early stage MSA-P from PD. It considers urinary function, olfactory function, corticospinal signs, performance of activities of daily living, motor symptoms burden on quality of life, frequent early falls and sleep disordered breathing. We are now prospectively validating the scale to determine its predictive value in our prodromal cohort. (Figure Presented)

Attention is thought to be the gateway between information and learning, yet there is much we do not understand about how students pay attention in the classroom. Leveraging ideas from cognitive neuroscience and psychology, we explore a framework for understanding attention in the classroom, organized along two key dimensions: internal/external attention and on-topic/off-topic attention. This framework helps us to build new theories for why active-learning strategies are effective teaching tools and how synchronized brain activity across students in a classroom may support learning. These ideas suggest new ways of thinking about how attention functions in the classroom and how different approaches to the same active-learning strategy may vary in how effectively they direct students' attention. We hypothesize that some teaching approaches are more effective than others because they leverage natural fluctuations in students' attention. We conclude by discussing implications for teaching and opportunities for future research.

The correlation of clinical semiology with neuronal firing in human seizures has not been well described. Similarly, the neuronal firing patterns underlying high-frequency oscillations during seizures remain controversial. Using implanted subdural electrodes and a microelectrode array in a patient with focal status epilepticus, in which 40 habitual focal motor seizures and 101 subclinical seizures were captured, the authors analyzed the association of EEG, high-frequency oscillations, and multiunit activity to facial motor semiology. The development of ictal high-frequency oscillations in subdural electrodes overlying face motor cortex was temporally associated with clonic facial movements. In representative seizures selected for multiunit analysis, synchronization of neuronal firing in the adjacent microelectrode array aligned with clinical onset and was greater in clinical seizures compared with subclinical seizures. This report demonstrates the electrophysiologic signatures of focal seizures at the level of neuronal firing, high-frequency oscillations, and EEG as they organize from microscale to macroscale, with clinical correlation.

Objective: To study the rate of progression of multiple system atrophy (MSA) and assess for a potential ceiling effect of the Unified Multiple System Atrophy Rating Scale (UMSARS).
Background(s): Disease progression of MSA as measured by UMSARS varied significantly in natural history studies. Reported 1-year UMSARS-1 and UMSARS-2 progression rates ranged from 3.9 to 6.5 and 3.5 to 8.2 respectively. We hypothesize that this variability is due, at least in part, to differences in severity at enrollment and a potential ceiling effect in the scale, so that patients in more advanced stages may appear to worsen less, which would have important implications for clinical trial design.
Method(s): We analyzed the rate of change in the UMSARS in a large international cohort of well-characterized patients with a clinical diagnosis of possible or probable MSA enrolled in the Natural History Study of Synucleinopathies. Annualized progression rates were obtained using 2-year follow-up data.
Result(s): Three hundred and forty nine patients (61.4+/-7.9 years old) with MSA were enrolled. Disease duration was 4.5+/-5.1 years. 143 patients completed 1-year evaluations and 61 completed the 2-year evaluation. The 12-month progression rates were 5.4+/-5.1 for the UMSARS-I, 5.9+/-5.3 for the UMSARS-II, and 11.8+/-9.6 for the total score. The 24-month progression rates were 10.8+/-7.3 for the UMSARS-I, 12.2+/-7.9 for the UMSARSII, and 22.6+/-13.7 for the total score. Annualized progression rates were divided according to their baseline UMSARS-I and UMSARS II. There was a significant (p = 0.0153) inverse relationship between rate of progression and UMSARS-I at baseline. A similar, but not significant trend was observed with UMSARS-II at baseline.
Conclusion(s): The rate of progression as measured by UMSARS is influenced by the baseline disease severity. A possible ceiling effect should be considered when planning enrollment, power calculations, and outcome measures in clinical trials

Cognitive neuroscience research is typically conducted in controlled laboratory environments that hold very little resemblance to science, technology, engineering, and mathematics classrooms. Fortunately, recent advances in portable electroencephalography technology now allow researchers to collect brain data from groups of students in real-world classrooms. Even though this line of research is still new, there is growing evidence that students' engagement, memory retention, and social dynamics are reflected in the brain-to-brain synchrony between students and teachers (i.e., the similarity in their brain responses). In this Essay, I will provide an overview of this emerging line of research, discuss how this approach can facilitate new collaborations between neuroscientists and discipline-based education researchers, and propose directions for future research.

OBJECTIVE:To summarize for the trainee audience the possible mechanisms of headache in patients with COVID-19 as well as to outline the impact of the pandemic on patients with headache disorders and headache medicine in clinical practice. BACKGROUND:COVID-19 is a global pandemic caused by the novel coronavirus severe acute respiratory syndrome coronavirus 2, of which a large subset of patients features neurological symptoms, commonly headache. The virus is highly contagious and is, therefore, changing clinical practice by forcing limitations on in-person visits and procedural treatments, more quickly shifting toward the widespread adaptation of telemedicine services. DESIGN/RESULTS:We review what is currently known about the pathophysiology of COVID-19 and how it relates to possible mechanisms of headache, including indirect, potential direct, and secondary causes. Alternative options for the treatment of patients with headache disorders and the use of telemedicine are also explored. CONCLUSIONS:Limited information exists regarding the mechanisms and timing of headache in patients with COVID-19, though causes relate to plausible direct viral invasion of the nervous system as well as the cytokine release syndrome. Though headache care in the COVID-19 era requires alterations, the improved preventive treatment options now available and evidence for feasibility and safety of telemedicine well positions clinicians to take care of such patients, especially in the COVID-19 epicenter of New York City.

Recent case-series of small size implied a pathophysiological association between coronavirus disease 2019 (COVID-19) and severe large-vessel acute ischemic stroke. Given that severe strokes are typically associated with poor prognosis and can be very efficiently treated with recanalization techniques, confirmation of this putative association is urgently warranted in a large representative patient cohort to alert stroke clinicians, and inform pre- and in-hospital acute stroke patient pathways. We pooled all consecutive patients hospitalized with laboratory-confirmed COVID-19 and acute ischemic stroke in 28 sites from 16 countries. To assess whether stroke severity and outcomes (assessed at discharge or at the latest assessment for those patients still hospitalized) in patients with acute ischemic stroke are different between patients with COVID-19 and non-COVID-19, we performed 1:1 propensity score matching analyses of our COVID-19 patients with non-COVID-19 patients registered in the Acute Stroke Registry and Analysis of Lausanne Registry between 2003 and 2019. Between January 27, 2020, and May 19, 2020, 174 patients (median age 71.2 years; 37.9% females) with COVID-19 and acute ischemic stroke were hospitalized (median of 12 patients per site). The median National Institutes of Health Stroke Scale was 10 (interquartile range [IQR], 4-18). In the 1:1 matched sample of 336 patients with COVID-19 and non-COVID-19, the median National Institutes of Health Stroke Scale was higher in patients with COVID-19 (10 [IQR, 4-18] versus 6 [IQR, 3-14]), P=0.03; (odds ratio, 1.69 [95% CI, 1.08-2.65] for higher National Institutes of Health Stroke Scale score). There were 48 (27.6%) deaths, of which 22 were attributed to COVID-19 and 26 to stroke. Among 96 survivors with available information about disability status, 49 (51%) had severe disability at discharge. In the propensity score-matched population (n=330), patients with COVID-19 had higher risk for severe disability (median mRS 4 [IQR, 2-6] versus 2 [IQR, 1-4], P<0.001) and death (odds ratio, 4.3 [95% CI, 2.22-8.30]) compared with patients without COVID-19. Our findings suggest that COVID-19 associated ischemic strokes are more severe with worse functional outcome and higher mortality than non-COVID-19 ischemic strokes.