Faculty Bibliography

BACKGROUND AND OBJECTIVES/OBJECTIVE:Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B-PwMS) experience a more severe disease course than non-Hispanic White people with MS (NHW-PwMS). Here we investigated structural and functional connectivity as well as structure-function decoupling in the sensorimotor and default mode networks (SMN and DMN, respectively), which play a key role in determining physical and cognitive disability in people with MS. METHODS:A total of 176 participants (50 B-PwMS, 50 NHW-PwMS, 41 Black healthy controls (B-HCs), and 35 NHW-HCs) underwent 3T-MRI with T1, resting-state functional, & diffusion imaging, and clinical assessment with Expanded-Disability-Status-Scale (EDSS) & Symbol-Digit-Modalities-Test (SDMT). T1-weighted images were lesion-filled and segmented to obtain cortical, subcortical, and cerebellar structures. Diffusion and functional MRI datasets were preprocessed, and structural and functional connectivity were extracted between regions defined by the AAL3 atlas. Global and local network measures were extracted for both structural and functional connectivity, and structure-function decoupling was quantified by calculating the correlation between the strengths of the two networks, considering only edges with non-zero structural connectivity. Network measures were compared between subgroups, accounting for the impact of demographics and social determinants of health, with correction for multiple comparisons. RESULTS:Despite similar disease duration, treatment exposure, lesion load and brain volumes, B-PwMS exhibited higher EDSS and lower SDMT scores compared to NHW-PwMS, which were influenced by total income and body mass index. In both B- and NHW-PwMS, structural global efficiency and streamline density were lower in the SMN and DMN compared to their respective HCs. Structural characteristic path length in SMN was significantly higher in B-PwMS versus B-HCs, whereas no significant differences were observed in NHW groups. Extensive local rearrangements of structural and functional hubs were observed in the SMN and DMN of B-PwMS compared to B-HCs and NHW-PwMS. B-PwMS showed greater structure-function decoupling in the SMN as compared to the other groups. There was a trend towards a higher decoupling in the DMN with lower SDMT scores (ρ = -0.20, p = 0.05), and higher decoupling in the SMN with higher EDSS scores (ρ = 0.20, p = 0.06). DISCUSSION/CONCLUSIONS:Despite similar brain volumes and lesion load, B-PwMS showed a greater rearrangement of brain structural and functional connectivity within the SMN and DMN when compared with NHW-PwMS. Moreover, B-PwMS showed a higher degree of structure-function decoupling in the SMN, with a trend towards association with increased physical disability.

The Global Navigation Satellite System (GNSS) is commonly used for outdoor positioning. However, its effectiveness diminishes in urban canyons and indoor environments attributed to signal blockage. This study aims to explore the potential of GNSS signals penetrating indoor spaces through windows and to enhance indoor positioning with Three-Dimensional Mapping-Aided (3DMA) GNSS, a concept generally applied outdoors. The research employs a 3D model of a corridor with manually labeled window locations to predict satellite visibility within indoor areas. The study integrates Pedestrian Dead Reckoning (PDR) with an indoor Shadow-matching (I-SM) technique, utilizing an Extended Kalman Filter (EKF) to improve positioning accuracy. One of the findings indicates that the proposed method significantly enhances positioning performance and its availability, achieving a root mean square error (RMSE) that is 2 m better than using PDR alone or single epoch I-SM. The study concludes that integrating GNSS with I-SM technique and PDR can optimize an indoor positioning solution and highlights the potential for improved navigation solutions in complex urban environments.

The frequency and nature of neurological exams (neuro-checks) in patients with severe acquired brain injury resulting in coma or disorders of consciousness (DoC) remain variable, with limited evidence guiding practice and poor understanding of their role in predicting and preventing neurological deterioration, functional recovery and adverse effects such as delirium. This scoping review aims to explore the frequency of bedside neurological exams within the first 7 days of injury impact on clinical outcomes in adult patients with severe acquired brain injury including mortality, neurological deterioration, long-term function, and delirium. METHODS: A comprehensive literature search was conducted using the PubMed, CINAHL, Medline and EMBASE databases from 2003 to 2023. Search terms captured a range of acute brain injuries and neuro-assessment tools. Eligible studies included adult patients with severe traumatic or non-traumatic brain injury or stroke that addressed frequency of bedside neurological exams within the first 7 days of admission. RESULTS: Of 1327 studies screened, 20 met inclusion criteria, representing over 16,000 patients across 14 countries. Assessment tools varied, but use of the Glasgow Coma Scale was prevalent. Frequency of neuro-checks ranged from hourly to daily. Multiple outcome measures were utilized. Some studies found that continuing hourly neuro-checks beyond the first 48 hours did not provide additional clinical benefit. Others associated excessive assessment with increased stress or delirium. CONCLUSION: There is very low evidence supporting an association between the frequency of neuro-checks and functional outcomes, mortality, length of stay, or delirium. Although early assessments may aid prognostication, excessive exams may not improve outcomes and may contribute to harm. The heterogeneity, lack of evidence, and limited standardization of neuro-check frequency highlight the need for clinical research to guide future practice.

BACKGROUND:Obstructive sleep apnea (OSA) is associated with Alzheimer's disease (AD) risk. Racial-, ethnic-, and sex-specific mechanisms of OSA and AD risk were examined. METHODS:We analyzed data from 3978 polysomnography patients without cognitive decline aged ≥ 60 including 663 OSA+ patients (284 non-Hispanic White, 207 Black, 172 Hispanic) matched to OSA- cohorts (1:1, n = 663; 1:4, n = 2652) and followed for AD through 2013. RESULTS:During the 8.5 (standard deviation 1.4) year period, 358 patients developed AD. AD risk was higher for Black (adjusted hazard ratio [aHR] 2.24 [1.24-2.71]), Hispanic (aHR 1.73, [1.38-3.51]), White (aHR 1.83, [1.21-3.37]), male (aHR 2.38, [1.31-3.47]), and female (aHR 1.37, [1.14-2.41]) patients. Hypoxia, sleep fragmentation, and sleep duration (p < 0.01) were associated with increased risk. Black and Hispanic, and female patients showed stronger effects for hypoxia and duration, and fragmentation, respectively. DISCUSSION/CONCLUSIONS:Hypoxia, fragmentation, and duration may underlie racial-, ethnic-, and sex-specific effects of AD risk.

The ability to quickly learn and generalize is one of the brain's most impressive feats and recreating it remains a major challenge for modern artificial intelligence research. One of the most mysterious one-shot learning abilities displayed by humans is one-shot perceptual learning, whereby a single viewing experience drastically alters visual perception in a long-lasting manner. Where in the brain one-shot perceptual learning occurs and what mechanisms support it remain enigmatic. Combining psychophysics, 7 T fMRI, and intracranial recordings, we identify the high-level visual cortex as the most likely neural substrate wherein neural plasticity supports one-shot perceptual learning. We further develop a deep neural network model incorporating top-down feedback into a vision transformer, which recapitulates and predicts human behavior. The prior knowledge learnt by this model is highly similar to the neural code in the human high-level visual cortex. These results reveal the neurocomputational mechanisms underlying one-shot perceptual learning in humans.

PURPOSE/UNASSIGNED:Navigating urban environments poses significant challenges for individuals who are blind or have low vision, especially in areas affected by construction. Construction zones introduce hazards such as uneven surfaces, barriers, hazardous materials, excessive noise, and altered routes that obstruct familiar paths and compromise safety. Although navigation tools assist in trip planning, they often overlook these temporary obstacles. Existing hazard detection systems also struggle with the visual variability of construction sites. METHODS/UNASSIGNED:We developed a computer vision-based assistive system integrating three modules: an open-vocabulary object detector to identify diverse construction-related elements, a YOLO-based model specialised in detecting scaffolding and poles, and an optical character recognition module to interpret construction signage. RESULTS/UNASSIGNED:In static testing at seven construction sites using images from multiple stationary viewpoints, the system achieved 88.56% overall accuracy. It consistently identified relevant objects within 2-10 m and at approach angles up to 75°. At 2-4 m, detection was perfect (100%) across all angles. Even at 10 m, six of seven sites remained detectable within a 15° approach. In dynamic testing along a 0.5-mile urban route containing eight construction sites, the system analysed every frame of a first-person walking video. It achieved 87.26% accuracy in distinguishing construction from non-construction areas, rising to 92.0% with a 50-frame majority vote filter. CONCLUSION/UNASSIGNED:The system can reliably detect construction sites in real time and at sufficient distances to provide advance warnings, enabling individuals with visual impairments to make safer mobility decisions, such as proceeding with caution or rerouting.

Health equity research in neurology and neuroscience faces a unique challenge in the current United States climate of funding scarcity and prioritization of other research topics. The low funding contrasts with rising interest and scholarship in the field. Neuroscientists in the early phases of their career are particularly vulnerable to the detrimental effects of reduced funding due to their relatively lower publication history and established sources of support for projects. Here, we introduce the Early Career Network within the Society of Equity Neuroscience (SEQUINS). The group is dedicated to the support of early-career neurologists and neuroscientists who pursue health equity neuroscience research. We will accomplish this via a combination of virtual and in-person events as well as the establishment of a robust community of scientists. Together, we will foster camaraderie, solidarity, and shared interests to propel the field of health equity neuroscience forward.

BACKGROUND:Optimal emergency contraception (EC) can prevent approximately 95% of rape-related pregnancies. However, time to presentation, weight, and BMI influence efficacy of EC, and disparities in access to care, race and ethnicity, language, and socioeconomic status may modify rape-related pregnancy risk. We aimed to increase effective EC administration and eliminate potential health disparities in all sexual assault (SA) survivors managed in the emergency department (ED). METHODS:We conducted a 5-year retrospective review evaluating race and ethnicity, language, selected socioeconomic indicators, and obesity factors in EC administration. We implemented a quality improvement (QI) initiative over 2 years across three urban EDs, with interventions focused on care standardization (e.g., pharmaceutical changes, electronic health record optimizations, and checklists), multimodal and inter-disciplinary education, and sustainability of change (e.g., quality assurance reviews and bi-directional feedback). Statistical process control charts (SPCs) were used to evaluate temporal changes in EC administration to SA survivors. The Pearson Chi-squared was used to analyze differences across race and ethnicity groups in pre- and post-intervention cohorts. We estimated rape-related pregnancy preventions based on estimated pharmaceutical efficacy and previously reported marginal risks of pregnancy. RESULTS:Through two QI improvement cycles, within a pre-initiative cohort of 291 patients and post-initiative cohort of 156 patients, we increased any EC administration from 73.7% to 100% and effective EC from 44.1% to 100%, both of which were sustained for 14 months. Differences in effective EC administration across race and ethnicity groups pre-initiative (p = 0.005) were eliminated post-initiative (p = 0.840). An estimated 2.7-9.1 rape-related pregnancies were prevented in our post-initiative cohort. CONCLUSIONS:We achieved sustained effective EC administration to SA survivors and eliminated race and ethnicity disparities. Multi-modal interventions focusing on care standardization, education, and sustainability demonstrated success in patient preventative health goals and health equity.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Double seronegative NMOSD (DS-NMOSD) lacks approved disease-modifying treatments, and limited data exist on optimal relapse-prevention strategies. In this multicenter, international, retrospective cohort study, we sought to compare the real-world effectiveness of anti-CD20 agents vs nonspecific immunosuppressants as disease-modifying strategies for relapse prevention in DS-NMOSD. METHODS:A retrospective cohort database was constructed using standardized data collection from medical records across collaborating centers in the United States, Brazil, the United Kingdom, Thailand, Turkiye, and China. Patients meeting IPND-2015 NMOSD criteria with negative serum aquaporin-4 and myelin oligodendrocyte glycoprotein antibody testing via cell-based assays and at least 12 months of follow-up were reviewed. The primary outcome was the incidence rate ratio (IRR) of relapses; secondary outcomes included the annualized relapse rate (ARR) and time to relapse. RESULTS:A total of 103 patients with DS-NMOSD met study criteria, with a median follow-up of 6 years. Anti-CD20 therapy was associated with a significantly lower IRR (0.02, 95% CI 0.01-0.04) and ARR (0.17, 95% CI 0.07-0.40) compared with nonspecific immunosuppressants (0.76, 95% CI 0.40-1.43) after adjusting for covariates. Survival analysis demonstrated a prolonged relapse-free interval with anti-CD20 agents. DISCUSSION/CONCLUSIONS:Our findings support the use of B-cell depletion as a potentially superior relapse-prevention strategy in DS-NMOSD, highlighting its potential as a first-line therapy. CLASSIFICATION OF EVIDENCE/METHODS:This study provides Class IV evidence that, in patients with DS-NMOSD, treatment with a DMT reduces relapse incidence rate ratio compared with no treatment and anti-CD20 DMTs are associated with a lower relapse incidence rate ratio compared with nonspecific immunosuppressants.