Faculty Bibliography

Astrocytes are a highly abundant glial cell type and perform critical homeostatic functions in the central nervous system. Like neurons, astrocytes have many discrete heterogeneous subtypes. The subtype identity and functions are, at least in part, associated with their anatomical location and can be highly restricted to strategically important anatomical domains. Here, we report that astrocytes forming the glia limitans superficialis, the outermost border of the brain and spinal cord, are a highly specialized astrocyte subtype and can be identified by a single marker: myocilin (Myoc). We show that glia limitans superficialis astrocytes cover the entire brain and spinal cord surface, exhibit an atypical morphology, and are evolutionarily conserved from zebrafish, rodents, and non-human primates to humans. Identification of this highly specialized astrocyte subtype will advance our understanding of CNS homeostasis and potentially be targeted for therapeutic intervention to combat peripheral inflammatory effects on the CNS.

BACKGROUND:The US Food and Drug Administration approved satralizumab for use in adult patients with aquaporin-4 immunoglobulin G-positive (AQP4-IgG+) neuromyelitis optica spectrum disorder (NMOSD) in 2020, but real-world data are limited. The objective of this case series is to describe the experience with satralizumab in adult patients with AQP4-IgG+ NMOSD who previously received rituximab. METHODS:Case information for patients with AQP4-IgG+ NMOSD who had received satralizumab for ≥6 months was obtained from US healthcare providers from April 1, 2022, to September 30, 2023. Patient characteristics, examination findings, diagnostic tests, treatment response and adverse events were recorded. Patients who received satralizumab after discontinuing treatment with rituximab were included in this case series. RESULTS:Twenty patients were included, and their ages ranged from 19 to 70 years. Overall, 45 % of patients self-identified as Black/African American, 40 % as White, 10 % as Asian and 5 % as multiracial. Time since confirmed NMOSD diagnosis ranged from 4 to 17 years. Median (range) duration of rituximab treatment was 50 (12-162) months. The main reasons for switching to satralizumab were intolerance (60 %) to and inadequate disease control (25 %) with rituximab. The majority of patients (70 %) received satralizumab for ≥24 months and as monotherapy (90 %). All 20 patients were free from radiographically confirmed relapses with satralizumab. Overall, patients maintained disease control with satralizumab, and adverse events primarily included asymptomatic laboratory abnormalities. Two patients permanently discontinued satralizumab due to adverse events. CONCLUSIONS:In this retrospective case series, satralizumab was effective and well tolerated in patients with NMOSD who switched due to ineffectiveness and/or poor tolerability of rituximab. These outcomes align with the long-term efficacy and safety outcomes with satralizumab in the Phase III SAkura clinical trials.

Nonlocal self-similarity within images has become an increasingly popular prior in deep-learning models. Despite their successful image restoration performance, such models remain largely uninterpretable due to their black-box construction. Our previous studies have shown that interpretable construction of a fully convolutional denoiser (CDLNet), with performance on par with state-of-the-art black-box counterparts, is achievable by unrolling a convolutional dictionary learning algorithm. In this manuscript, we seek an interpretable construction of a convolutional network with a nonlocal self-similarity prior that performs on par with black-box nonlocal models. We show that such an architecture can be effectively achieved by up-grading the

Depression is a common and debilitating disorder affecting millions. First-line treatments fail to achieve remission in about one-third of patients, highlighting a critical treatment need. Transcranial direct current stimulation (tDCS) has emerged as a novel treatment for depression. Therefore, the aim of this review was to provide a comprehensive overview of the last decade of tDCS trials for depression and propose future research directions. To compile studies of the past decade, we conducted a systematic review and meta-analysis of randomized clinical trials (RCTs) of tDCS for depression. A total of 21 RCTs were included, presenting a moderate effect for active tDCS compared to placebo. We also provided a description of study designs, stimulation parameters, and patients' characteristics. Following, we proposed possible strategies to enhance clinical effectiveness and reduce variability in results, including 1) optimization/personalization of tDCS via spatial and temporal target localization; 2) optimized methodological strategies, including home-based, accelerated tDCS protocols and novel trial designs; and 3) investigate patient profile to identify features that can predict treatment response. In conclusion, tDCS holds promise as a treatment for depression, but variability in trial parameters and outcomes underscores the need for its further optimization. Refining and standardizing protocols may enhance its effectiveness.

OBJECTIVE:Reduced-channel wearable electroencephalography (EEG) may overcome the accessibility and patient comfort limitations of traditional ambulatory electrographic seizure monitoring during extended-duration use. Automated algorithms are necessary for review of extended-duration reduced-channel EEG, yet current clinical support software is designed only for full-montage recordings. METHODS:The performance of a novel automated seizure detection algorithm for reduced-channel EEG (Epitel) was evaluated in a clinical validation study involving 50 participants (31 with seizures) with diverse demographic and seizure representation. RESULTS:The algorithm demonstrated an event-level sensitivity of 86.2% (95% confidence interval [CI] = 79.5%-93.2%) and a false detection rate of .162 per hour (95% CI = .116-.221), which is comparable to the performance of current clinical software for full-montage EEG. Performance varied by electrographic seizure type, with 91.4% sensitivity for focal evolving to generalized seizures, 86.7% for generalized seizures, and 77.3% for focal seizures. The algorithm maintained robust performance in both pediatric participants aged 6-21 years (83% sensitivity) and adults aged 22+ years (90% sensitivity), as well as in ambulatory (80%) and epilepsy monitoring unit (EMU) monitoring environments (87.5%). The false detection rate in ambulatory monitoring environments (.290 false positive [FP] detections/h), all of which involved pediatric participants, was notably higher than in the EMU (.136 FP/h), indicating an area with clear need for improvement for unrestricted at-home monitoring. The algorithm's supplemental Confidence metric, designed to engender trust in the algorithm, showed a strong correlation with detection precision. SIGNIFICANCE/CONCLUSIONS:These results suggest that this algorithm can provide crucial support for review of extended-duration reduced-channel wearable EEG, enabling electrographic seizure monitoring with no restrictions on a person's daily life.

The mechanisms behind comorbid symptoms of depression in persons with epilepsy (PWE) remain largely unknown. Our study aimed to learn whether seizures moderate fluctuations in depressive symptoms in PWE when controlling for preictal symptoms of depression. We enrolled 57 adult PWE admitted to the New York University (NYU) Langone Epilepsy Monitoring Unit (EMU) from 2021 to 2024. Thirty-seven participants had a seizure. Twenty of the admitted patients did not have seizures during the admission period and therefore served as controls. All participants were seizure free for > 7 days prior to participation. Upon admission, all participants completed the Montgomery-Asberg Depression Rating Scale (MADRS) to evaluate baseline mood. The MADRS was repeated acutely (4-24 h post seizure or admission) and subacutely (2-7 days post seizure or discharge) for both groups. Linear regression models revealed that individuals with higher baseline MADRS scores (indicating higher depressive symptoms) experienced worse mood acutely post-seizure, while lower baseline MADRS scores were associated with acute mood improvement (R² = 0.59, p < 0.001). Experiencing a seizure was not associated with subacute mood outcomes, which were instead driven by acute mood state (R² = 0.56, p < 0.001). In conclusion, we found that seizures exacerbate pre-ictal depressive symptoms and that post-ictal depressive symptoms persist up to 7 days after seizure resolution. This study may provide evidence for a bidirectional relationship and demonstrate a vicious cycle between depression and epilepsy.

BACKGROUND AND OBJECTIVES/OBJECTIVE:This study aimed to evaluate whether a 6-month (limited) course of early IVIG is an effective strategy for relapse prevention in children with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) versus only acute therapies or other early immunotherapies. METHODS:This was a retrospective multicenter observational study of pediatric MOGAD patients from the US Network of Pediatric Multiple Sclerosis Centers with disease onset between October 1996 and December 2022. Controls were matched to limited early IVIG subjects using a 3:1 ratio. Hazard ratios of time to relapse and rate ratios of annualized relapse rate were calculated. The cumulative probability of remaining relapse-free was evaluated with the Kaplan-Meier method. RESULTS:We identified 130 unique control subjects treated before second attack with acute treatments only used in matching, 18 subjects treated with limited early IVIG, and 23 subjects treated with other early immunotherapy. The time to relapse was not different between either the limited early IVIG group and control group (HR 0.60 [0.22, 1.66], p = 0.32) or other early immunotherapy group (HR 0.98 [0.27, 3.6], p = 0.98). The limited early IVIG group showed a lower annualized relapse rate, although not statistically significant (RR 0.44 [0.17, 1.14], p = 0.09) compared with controls and a similar annualized relapse rate compared with the other early immunotherapy group (RR 0.56 [0.19, 1.69], p = 0.30). DISCUSSION/CONCLUSIONS:Although underpowered, our results suggest that the use of a limited, 6-month course of early IVIG may reduce the risk of multiphasic disease in pediatric MOGAD.

Spinocerebellar ataxia type 14 (SCA14) is an autosomal dominant neurodegenerative disorder characterized by adult-onset cerebellar ataxia, and occasionally pyramidal signs, cognitive changes, sensory changes, myoclonus, and tremor. SCA14 results from heterozygous gain-of-function pathogenic variants in PRKCG, which encodes protein kinase Cγ. The aim was to elucidate the molecular mechanism of disease in a 60-year-old man with SCA14 due to a novel heterozygous variant in PRKCG c.154T > C p.(C52R). Next-generation sequencing was completed in the proband, targeted variant analysis was conducted in his family, and biochemical functional assays were performed. The C52R variant segregated with disease. Like other C1A domain variants, it had increased basal activity yet was unresponsive to agonist stimulation and was relatively resistant to down-regulation. This expands the genetic landscape of SCA14 and supports the condition as a gain-of-function disease, with variants in the C1A domain having leaky activity yet unresponsiveness to agonist stimulation.

OBJECTIVE:The ongoing war in Ukraine has introduced many challenges to an already overburdened and resource-limited medical system. Longitudinal collaborations, material support, educational outreach, and surgical mentorship are essential for improving outcomes and standards of neurosurgical care in extreme settings such as in times of war. METHODS:Operating in Ukraine since 2016 through the coordination of Razom, the Co-Pilot Project has organized multiple United States-based mission trips to Ukraine to support local physicians during wartime, including a trip between April and May of 2023. RESULTS:A team of two anesthesiologists, two neurosurgeons, a neurointerventional radiologist, and an industry representative providing technical expertise aided in the instruction and performance of complex neurosurgical and neurovascular procedures by Ukrainian physicians at St. Panteleimon Hospital and St. Nicholas Children's Hospital in Lviv. Such efforts are crucial for helping to address the sharp rise in elective neurosurgical volume caused by the increase in internally displaced persons in Western Ukraine since February 2022. In an illustrative case, the authors provide an in-depth description of a foramen magnum meningioma resection via a far lateral craniotomy in a 48-year-old female. CONCLUSIONS:Despite the supply shortages and logistical challenges brought on by war, the Co-Pilot Project continues to utilize a long-term approach to continually improve the operative capabilities of Ukrainian neurosurgeons through both in-person and virtual collaborations. It is hoped that the lessons learned from a recent trip to Ukraine will help to inform and inspire other global neurosurgery initiatives in the future.

BACKGROUND AND OBJECTIVE/OBJECTIVE:Alcohol withdrawal syndrome (AWS) is a serious complication of alcohol use disorder. Although benzodiazepines are the mainstay of treatment, some patients may be resistant to them, requiring rapidly escalating doses. Phenobarbital has emerged as an effective adjunct therapy in severe alcohol withdrawal, but studies have yielded inconsistent results and carry safety risks. The purpose of our study was to examine the effectiveness and the potential harm of phenobarbital in AWS. METHODS:In this multi-center, retrospective cohort study, patients who were admitted for AWS and received phenobarbital with benzodiazepine were compared to patients who received benzodiazepine monotherapy. The primary outcome was time to AWS resolution. Other secondary and safety outcomes included length of stay (LOS), rate of mechanical ventilation, and incidence of aspiration pneumonia. RESULTS:The phenobarbital group received significantly higher doses of benzodiazepines compared to the benzodiazepine monotherapy group (660 mg vs 340 mg, p < 0.0001). After adjustment, the use of phenobarbital was associated with significantly reduced time to AWS resolution (141.65 h vs 165.72 h, p < 0.0001). However, the use of phenobarbital was associated with the likelihood of mechanical ventilation (19.42 %vs. 0.96 %, p < 0.0001), aspiration pneumonia (22.33 % vs 5.77 %, p = 0.0006), and increased hospital LOS (8 days vs. 6 days, p = 0.0197). In the combination group, earlier phenobarbital initiation (within 24 h) was associated with significantly lower cumulative benzodiazepine dose (530 mg vs 887.50 mg, p = 0.002) and hospital LOS (6 days vs 10 days, p = 0.0017). CONCLUSION AND RELEVANCE/CONCLUSIONS:In our study, patients who received phenobarbital in combination with benzodiazepines had a quicker resolution of AWS but also had a higher incidence of mechanical ventilation, prolonged hospital LOS, and an increased risk of aspiration pneumonia. For patients at high risk of severe alcohol withdrawal, earlier initiation of phenobarbital appeared to yield the most optimal benefit.