Faculty Bibliography

The 2024 revised McDonald criteria for multiple sclerosis recognize the optic nerve as a topography for dissemination in space. Optical coherence tomography-derived inter-eye differences in peri-papillary retinal nerve fiber layer or ganglion cell-inner plexiform layer thicknesses (≥6μm or ≥4μm, respectively) are proposed for identifying unilateral optic nerve involvement. However, the value of combining inter-eye difference measures and optimal temporal-quadrant peri-papillary retinal nerve fiber layer inter-eye differences remains unclear. We investigated the diagnostic performance of combined inter-eye differences, optimal temporal-quadrant peri-papillary retinal nerve fiber layer inter-eye differences, and examined the effects of time, prior optic neuritis frequency, sex, and race on inter-eye differences. Retinal optical coherence tomography images from all study participants underwent rigorous quality control. Receiver operating characteristic analyses and area under the receiver operating characteristic curves (AUC) were used to determine optimal inter-eye differences of individual and combined measures to distinguish eyes with, from without, prior optic neuritis in people with multiple sclerosis. Mixed-effects models were used to assess impact of time, prior optic neuritis events, sex, and race on inter-eye differences. An independent multiple sclerosis cohort from a second center was examined for external validation. Among 1854 people with multiple sclerosis, optimal inter-eye difference thresholds for identifying unilateral optic nerve involvement were 6μm for peri-papillary retinal nerve fiber layer (AUC=0.80), 4μm for ganglion cell-inner plexiform layer (AUC=0.83), and 8μm for temporal-quadrant peri-papillary retinal nerve fiber layer (AUC=0.71) thicknesses. Peri-papillary retinal nerve fiber layer inter-eye differences ≥6μm or ganglion cell-inner plexiform layer inter-eye differences ≥4μm yielded 87.6% sensitivity, 70.0% specificity, and 64.0% positive predictive value. Concurrent inter-eye differences at lower thresholds (≥5μm peri-papillary retinal nerve fiber layer, ≥3μm ganglion cell-inner plexiform layer) reduced sensitivity to 72.5%, but improved specificity (86.6%) and positive predictive value (76.7%), while maintaining accuracy and negative predictive value. Temporal-quadrant peri-papillary retinal nerve fiber layer inter-eye differences did not improve diagnostic performance. Over a median of 5.1 years, ganglion cell-inner plexiform layer and peri-papillary retinal nerve fiber layer inter-eye differences remained stable. Prior optic neuritis counts and sex did not affect inter-eye differences. Although Black Americans had higher inter-eye differences than White Americans, optimal thresholds were comparable across races. The validation cohort comprising 254 people with multiple sclerosis confirmed these findings. In conclusion, concurrent peri-papillary retinal nerve fiber layer (≥5μm) and ganglion cell-inner plexiform layer inter-eye differences (≥3μm) improve unilateral optic nerve involvement detection versus either alone (≥6μm or ≥4μm, respectively), while temporal-quadrant peri-papillary retinal nerve fiber layer inter-eye differences offer limited benefit. Inter-eye differences remain stable longitudinally and unaffected by prior optic neuritis frequency.

Repetitive head impacts are common in contact and collision sports and are linked to structural brain changes and an elevated risk of neurodegenerative diseases such as Chronic Traumatic Encephalopathy. Identifying early in vivo structural markers remains challenging. Although diagnosis currently requires post-mortem confirmation, clinical symptoms, including cognitive impairment and behavioural changes, are reflected in the diagnosis of Traumatic Encephalopathy Syndrome. These symptoms align with dysfunction in key brain regions-amygdala, hippocampus and thalamus-which support memory, emotion and behaviour and commonly show tau pathology in Chronic Traumatic Encephalopathy. This study uses shape analysis to examine structural differences in these regions between former American football players and unexposed asymptomatic controls and evaluates the influence of age, head impact exposure and clinical diagnosis on brain structure. We analyzed brain morphology in former American football players (n = 163) and unexposed, asymptomatic controls (n = 53). Structural segmentation was performed with FreeSurfer 7.1, and the shape analysis pipeline was used to generate subregional reconstructions. Vertex-level morphometry, based on the logarithm of the Jacobian determinant and radial distance, quantified local surface area dilation and thickness. Group differences were examined with covariate-adjusted linear regression models contrasting football players and controls, as well as participants with and without a Traumatic Encephalopathy Syndrome diagnosis. Partial correlations examined the influence of age, age of first football exposure and cumulative head impact index metrics, including frequency, linear acceleration and rotational force. Models were adjusted accordingly for age, body mass index, education, race, imaging site, apolipoprotein

PURPOSE/OBJECTIVE:Many studies estimate that more than 50% of non-hospitalized patients with long-COVID develop moderate to severe autonomic dysfunction. However, the specific impact of autonomic dysfunction as it relates to quality of life in long-COVID is not fully understood. The aim of the current study is to assess autonomic symptoms and quality-of-life in patients with Post-Acute Sequelae of COVID-19 (PASC) recruited from a neurology department outpatient setting. METHODOLOGY/METHODS:In a two-year follow-up study of a baseline cohort of 93 non-hospitalized SARS-CoV-2 laboratory-positive patients evaluated for PASC between November 2020-August 2021, 44 participants completed follow-up telephone questionnaires examining quality-of-life as well as neurologic and autonomic symptoms. RESULTS:Among 93 participants, 44 (47 %) completed the two-year follow-up evaluation and 27 (61 %) were female with a median age of 55 years (IQR = 24-88). Most participants (95 %, 42/44) were vaccinated against COVID-19 and 43 % (19/44) had a pre-existing neurological disorder. Median time from index COVID-19 infection to follow-up was 26 months (IQR = 23-17), with a median of 15 months (IQR = 15-16) between visits. Fatigue, word finding difficulty, and changes in memory were the most commonly reported PASC symptoms. Sixty-six percent (29/44) of individuals met criteria for autonomic dysfunction as defined by the Composite Autonomic Symptom Score-31 (COMPASS-31) scale. Secretomotor and gastrointestinal subdomains demonstrated significant associations with Neuro-QoL metrics for Anxiety, Depression, and Fatigue. For every 1 additional PASC symptom reported at a follow-up study visit, there was an average increase of 1.5 points on the COMPASS-31 composite score. In addition, visual disturbances and sleep impairment were both associated with increased autonomic dysfunction. CONCLUSION/CONCLUSIONS:The strong association between autonomic dysfunction and reduced QoL in PASC and the relation to insomnia, visual dysfunction, and functional impairment are valuable findings, reinforcing the clinical impact of these symptoms longitudinally after index COVID-19 infection.

BACKGROUND:There is paucity of data on long-term functional and cognitive outcomes after COVID-19 compared to COVID-negative controls. METHODS:We conducted an observational cohort study of patients ≥ 1 year after COVID-19 compared to contemporaneous COVID-19 negative controls (SARS-CoV-2 nucleocapsid IgG negative with no history of COVID-19). Functional (modified Rankin Scale [mRS], Barthel Index), cognitive (telephone MoCA [t-MoCA]), and patient-reported neuropsychiatric symptoms were compared between groups using multivariable logistic regression analysis. In a subgroup of COVID-19 patients who were followed longitudinally, trajectories of recovery were assessed using the paired samples Sign test. RESULTS:Of 145 participants, N = 115 COVID-19 patients (median age 62, 51 % female, 33 % hospitalized for COVID-19, median 2.9 years from index infection), and N = 30 non-COVID-19 controls (median age 75, 70 % female) were enrolled. Neuropsychiatric symptoms were reported in 76 % of COVID-19 patients versus 7 % of controls (aOR 15.0, 95 %CI 3.09-72.47, P < 0.001). Abnormal mRS> 0 occurred in 42 % of COVID-19 patients compared to 11 % of controls (P = 0.002). However, this difference was not significant after adjusting for age, sex, COVID-19 hospitalization and history of mood disorder (aOR 2.10, 95 %CI 0.52-8.51). Rates of abnormal t-MoCA≤ 18 (40 % of COVID-19 versus 41 % of controls, P = 1.00) and Barthel scores< 100 (19 % of COVID-19 versus 14 % in controls, P = 0.785) were similar. Among N = 26 COVID-19 patients with repeated measures, mRS significantly improved between 6-months to 3-years post-COVID (+1.3 points, p = 0.004), while no changes were observed in t-MoCA or Barthel. CONCLUSIONS:Three years after COVID-19, neuropsychiatric symptoms were significantly more frequent compared to controls, however no differences in functional or cognitive status were detected.

Repetitive head impacts are associated with structural brain changes and an increased risk for chronic traumatic encephalopathy, a progressive neurodegenerative disease that can only be diagnosed after death. Chronic traumatic encephalopathy is defined by the abnormal accumulation of phosphorylated tau protein, particularly at the depths of the superior frontal sulci, suggesting that sulcal morphology may serve as a relevant structural biomarker. Contact sport athletes, such as former football players, are at elevated risk due to their prolonged exposure to repetitive head impacts. Cortical atrophy linked to underlying tau accumulation may result in shallower and wider sulci, potentially making sulcal morphology an imaging marker for identifying individuals at risk for this disease. This study investigated sulcal morphological differences in former football players and examined associations with age, football-related exposure, clinical diagnosis of traumatic encephalopathy syndrome, levels of certainty for chronic traumatic encephalopathy pathology, neuropsychological performance, and positron emission tomography imaging using flortaucipir. We analysed structural magnetic resonance imaging data from 169 male former football players (mean age 57.2 (8.2) years, range 45-74) and 54 age-matched, unexposed asymptomatic male controls (mean age 59.4 (8.5) years, range 45-74). Sulcal depth and width were quantified using the CalcSulc, focusing on two regions in each hemisphere commonly affected by chronic traumatic encephalopathy pathology: the superior frontal and occipitotemporal sulci. Generalized least squares models were used to assess group differences and interactions with age and football exposure variables, including age of first exposure, total years played, and cumulative head impact exposure. An analysis of covariance evaluated relationships between sulcal morphology, clinical measures, and flortaucipir uptake, adjusting for age, race, body mass index, education, imaging site, apolipoprotein E4 status, and total intracranial volume. Former football players demonstrated significantly shallower sulcal depth in the left superior frontal sulcus compared to unexposed controls. Earlier age of first exposure and longer football careers were associated with greater widening of the left occipitotemporal sulcus. Higher cumulative head impact exposure was linked to reduced sulcal depth in the left superior frontal region. However, sulcal morphology was not associated with clinical diagnosis, levels of certainty, neuropsychological test performance, or flortaucipir imaging. These findings suggest that sulcal morphology may reflect cumulative exposure to repetitive head impacts, particularly in brain regions vulnerable to chronic traumatic encephalopathy pathology. Future ante- and post-mortem validation studies are needed to determine whether sulcal morphology can serve as a reliable in vivo biomarker of risk.

BACKGROUND AND OBJECTIVES/OBJECTIVE:While reductions in optical coherence tomography (OCT) pRNFL and ganglion cell-inner plexiform layer thicknesses have been shown to be associated with brain atrophy in adult-onset MS (AOMS) cohorts, the relationship between OCT and brain MRI measures is less established in pediatric-onset MS (POMS). Our aim was to examine the associations of OCT measures with volumetric MRI in a cohort of patients with POMS to determine whether OCT measures reflect CNS neurodegeneration in this patient population, as is seen in AOMS cohorts. METHODS:This was a cross-sectional study with retrospective ascertainment of patients with POMS evaluated at a single center with expertise in POMS and neuro-ophthalmology. As part of routine clinical care, patients with POMS are evaluated by a POMS expert and undergo volumetric brain MRI, including whole-brain (WB), subregional, and gray matter (GM) volume analyses. Patients with POMS are routinely referred to neuro-ophthalmology for evaluation that includes high-contrast visual acuity, color vision testing, and OCT. Generalized estimating equation (GEE) models, accounting for within-patient, intereye correlations (both eyes of each patient were included), MS disease duration, and disease-modifying therapy efficacy, were used to determine the relationship between visual pathway structure and function and volumetric MRI measures. RESULTS:= 0.015, respectively). DISCUSSION/CONCLUSIONS:Our results demonstrate that changes in visual pathway structures are associated with reductions in overall brain volume and GM volumes, as well as greater lesion and black hole burden. Collectively, our results emphasize the importance of visual assessment in POMS and suggest that OCT reflects overall CNS neurodegeneration in this cohort.

The 2024 revisions of the McDonald diagnostic criteria include the optic nerve as a fifth anatomical location within the CNS for the diagnosis of multiple sclerosis, in addition to periventricular, juxtacortical or cortical, infratentorial, and spinal cord lesions. Demonstration of dissemination in space can now be achieved with the detection of typical lesions in at least two of these five locations. We review the evidence supporting the use of optical coherence tomography (OCT) and visual evoked potentials (VEPs) to show optic nerve involvement in the diagnosis of multiple sclerosis. We also report consensus recommendations for their use. Provided there is no better explanation for optic nerve involvement and that rigorous quality control is applied, OCT-derived peripapillary retinal nerve fibre layer inter-eye differences of 6 μm or greater or composite macular ganglion cell and inner plexiform layer inter-eye differences of 4 μm or greater support optic nerve injury. Delayed VEP latency, which depends on technical and methodological factors, and is centre and device dependent, supports demyelinating optic nerve injury when done with appropriate technical knowledge and interpretation.

BACKGROUND AND OBJECTIVES/UNASSIGNED:Burnout is a pervasive occupational hazard for neurologists-undermining their well-being, jeopardizing patient safety and satisfaction, limiting access to care, and inflating health care costs. Well-designed appreciation and recognition practices may help mitigate some of its key drivers. This pilot study evaluates faculty perspectives on appreciation strategies in an academic neurology department. We used the Moffitt Provider Appreciation Assessment (MPAA), which assesses the types of appreciation methods respondents value, regardless of whether those practices are currently implemented in their workplace. METHODS/UNASSIGNED:A cross-sectional survey was conducted among full-time clinical faculty in the Department of Neurology at NYU Grossman School of Medicine. The survey included demographics, the MPAA, the single-item Mini-Z burnout inventory to assess self-reported burnout levels, and an intent-to-leave question. MPAA responses were analyzed for frequencies, and the association between burnout and intent to leave was examined. RESULTS/UNASSIGNED:< 0.00001). Because the scores for self-reported burnout and intent to leave reflect current work conditions while MPAA scores capture enduring personal values, MPAA rankings cannot be compared directly with burnout or turnover metrics. DISCUSSION/UNASSIGNED:Neurology clinical faculty prioritized appreciation methods that directly address clinical work, underscoring the value of implementing tailored recognition practices that may reduce burnout. The methodology used in this pilot study can be adapted for broader application in other settings. After identifying faculty preferences, health care organizations can implement meaningful, transparent, and inclusive appreciation strategies that have the potential to strengthen physician relationships, promote well-being, and support a sustainable workforce.

Effective mild cognitive impairment (MCI) screening requires accessible testing. This study compared two tests for distinguishing MCI patients from controls: Rapid Automatized Naming (RAN) for naming speed and Low Contrast Letter Acuity (LCLA) for sensitivity to low contrast letters. Two RAN tasks were used: the Mobile Universal Lexicon Evaluation System (MULES, picture naming) and Staggered Uneven Number test (SUN, number naming). Both RAN tasks were administered on a tablet and in a paper/pencil format. The tablet format was administered using the Mobile Integrated Cognitive Kit (MICK) application. LCLA was tested at 2.5% and 1.25% contrast. Sixty-four participants (31 MCI, 34 controls; mean age 73.2 ± 6.8 years) were included. MCI patients were slower than controls for paper/pencil (75.0 vs. 53.6 sec, p < 0.001), and tablet MULES (69.0 sec vs. 50.2 sec, p = 0.01). The paper/pencil SUN showed no significant difference (MCI: 59.5 sec vs. controls: 59.9 sec, p = 0.07), nor did tablet SUN (MCI: 59.3 sec vs. controls: 55.7 sec, p = 0.36). MCI patients had worse performance on LCLA testing at 2.5% contrast (33 letters vs. 36, p = 0.04*) and 1.25% (0 letters vs. 14. letters, p < 0.001). Receiver operating characteristic (ROC) analysis showed similar performance of paper/pencil and tablet MULES in distinguishing MCI from controls (AUC = 0.77), outperforming both SUN (AUC = 0.63 paper, 0.59 tablet) and LCLA (2.5% contrast: AUC = 0.65, 1.25% contrast: AUC = 0.72). The MULES, in both formats, may be a valuable screening tool for MCI.