Faculty Bibliography

There is a need for the neuroscience community to advocate for uniformity in the determination of brain death/death by neurologic criteria (BD/DNC). Engagement with state medical societies is one example of this type of advocacy. After determining that her hospital policy on determination of BD/DNC was unclear and inconsistent with accepted standards, the principal author submitted a resolution to the Illinois State Medical Society (ISMS) in an attempt to encourage consistency in institutional policies on the determination of BD/DNC across the state. ISMS ultimately approved a resolution on this topic, but it has some shortcomings, so its impact is unclear. Nonetheless, other neuroscience clinicians are encouraged to engage with their state medical societies to advocate for uniformity in the determination of BD/DNC.

BACKGROUND:We previously reported an association between household chemical exposures and an increased risk of paediatric-onset multiple sclerosis. METHODS:(rs7665090). RESULTS:SNP GG genotypes. CONCLUSIONS:The presence of gene-environment interactions with household toxins supports their possible causal role in paediatric-onset multiple sclerosis.

OBJECTIVE:Effective surgical treatment of drug-resistant epilepsy depends on accurate localization of the epileptogenic zone (EZ). High-frequency oscillations (HFOs) are potential biomarkers of the EZ. Previous research has shown that HFOs often occur within submillimeter areas of brain tissue and that the coarse spatial sampling of clinical intracranial electrode arrays may limit the accurate capture of HFO activity. In this study, we sought to characterize microscale HFO activity captured on thin, flexible microelectrocorticographic (μECoG) arrays, which provide high spatial resolution over large cortical surface areas. METHODS:We used novel liquid crystal polymer thin-film μECoG arrays (.76-1.72-mm intercontact spacing) to capture HFOs in eight intraoperative recordings from seven patients with epilepsy. We identified ripple (80-250 Hz) and fast ripple (250-600 Hz) HFOs using a common energy thresholding detection algorithm along with two stages of artifact rejection. We visualized microscale subregions of HFO activity using spatial maps of HFO rate, signal-to-noise ratio, and mean peak frequency. We quantified the spatial extent of HFO events by measuring covariance between detected HFOs and surrounding activity. We also compared HFO detection rates on microcontacts to simulated macrocontacts by spatially averaging data. RESULTS:We found visually delineable subregions of elevated HFO activity within each μECoG recording. Forty-seven percent of HFOs occurred on single 200-μm-diameter recording contacts, with minimal high-frequency activity on surrounding contacts. Other HFO events occurred across multiple contacts simultaneously, with covarying activity most often limited to a .95-mm radius. Through spatial averaging, we estimated that macrocontacts with 2-3-mm diameter would only capture 44% of the HFOs detected in our μECoG recordings. SIGNIFICANCE/CONCLUSIONS:These results demonstrate that thin-film microcontact surface arrays with both highresolution and large coverage accurately capture microscale HFO activity and may improve the utility of HFOs to localize the EZ for treatment of drug-resistant epilepsy.

OBJECTIVES:How brain MRI lesions associate with outcomes in pediatric anti-NMDA receptor encephalitis (pNMDARE) is unknown. In this study, we correlate T2-hyperintense MRI brain lesions with clinical outcomes in pNMDARE. METHODS:This was a multicenter retrospective cohort study from 11 institutions. Children younger than 18 years with pNMDARE were included. One-year outcomes were assessed by the modified Rankin Score (mRS) with good (mRS ≤2) and poor (mRS ≥3) outcomes. RESULTS:A total of 175 pNMDARE subjects were included, with 1-year mRS available in 142/175 (81%) and 60/175 (34%) had abnormal brain MRIs. The most common T2-hyperintense lesion locations were frontal, temporal, and parietal. MRI features that predicted poor 1-year outcomes included abnormal MRI, particularly T2 lesions in the frontal and occipital lobes. After adjusting for treatment within 4 weeks of onset, improvement within 4 weeks, and intensive care unit admission, MRI features were no longer associated with poor outcomes, but after multiple imputation for missing data, T2 frontal and occipital lesions associated with poor outcomes. DISCUSSION:Abnormal frontal and occipital lesions on MRI may associate with 1-year mRS in pNMDARE. MRI of the brain may be a helpful prognostication tool that should be examined in future studies.

BACKGROUND:Multiple sclerosis typically has onset in young adults and new disease activity diminishes with age. Most clinical trials of disease-modifying therapies for multiple sclerosis have not enrolled individuals older than 55 years. Observational studies suggest that risk of return of disease activity after discontinuation of a disease-modifying therapies is greatest in younger patients with recent relapses or MRI activity. We aimed to determine whether risk of disease recurrence in older patients with no recent disease activity who discontinue disease-modifying therapy is increased compared to those who remain on disease-modifying therapy. METHODS:DISCOMS was a multicentre, randomised, controlled, rater-blinded, phase 4, non-inferiority trial. Individuals with multiple sclerosis of any subtype, 55 years or older, with no relapse within the past 5 years or new MRI lesion in the past 3 years while continuously taking an approved disease-modifying therapy were enrolled at 19 multiple sclerosis centres in the USA. Participants were randomly assigned (1:1 by site) with an interactive response technology system to either continue or discontinue disease-modifying therapy. Relapse assessors and MRI readers were masked to patient assignment; patients and treating investigators were not masked. The primary outcome was percentage of individuals with a new disease event, defined as a multiple sclerosis relapse or a new or expanding T2 brain MRI lesion, over 2 years. We assessed whether discontinuation of disease-modifying therapy was non-inferior to continuation using a non-inferiority, intention-to-treat analysis of all randomly assigned patients, with a predefined non-inferiority margin of 8%. This trial is registered at ClinicalTrials.gov, NCT03073603, and is completed. FINDINGS/RESULTS:259 participants were enrolled between May 22, 2017, and Feb 3, 2020; 128 (49%) were assigned to the continue group and 131 (51%) to the discontinue group. Five participants were lost to follow-up (continue n=1, discontinue n=4). Six (4·7%) of 128 participants in the continue group and 16 (12·2%) of 131 in the discontinue group had a relapse or a new or expanding brain MRI lesion within 2 years. The difference in event rates was 7·5 percentage points (95% CI 0·6-15·0). Similar numbers of participants had adverse events (109 [85%] of 128 vs 104 [79%] of 131) and serious adverse events (20 [16%] vs 18 [14%]), but more adverse events (422 vs 347) and serious adverse events (40 vs 30) occurred in the discontinue group. The most common adverse events were upper respiratory infections (20 events in 19 [15%] participants in the continue group and 37 events in 30 [23%] participants in the discontinue group). Three participants in the continue group and four in the discontinue group had treatment-related adverse events, of which one in each group was a serious adverse event (multiple sclerosis relapse requiring admission to hospital). One participant in the continue group and two in the discontinue group died; no deaths were deemed to be related to treatment. INTERPRETATION/CONCLUSIONS:We were unable to reject the null hypothesis and could not conclude whether disease-modifying therapy discontinuation is non-inferior to continuation in patients older than 55 years with multiple sclerosis and no recent relapse or new MRI activity. Discontinuation of disease-modifying therapy might be a reasonable option in patients older than 55 years who have stable multiple sclerosis, but might be associated with a small increased risk of new MRI activity. FUNDING/BACKGROUND:Patient-Centered Outcomes Research Institute and the National Multiple Sclerosis Society.

BACKGROUND:People with MS (PwMS) and related conditions treated with anti-CD20 and S1P modulating therapies exhibit attenuated immune responses to SARS-CoV-2 vaccines. It remains unclear whether humoral/T-cell responses are valid surrogates for postvaccine immunity. OBJECTIVE:To characterize COVID-19 vaccine-breakthrough infections in this population. METHODS:We conducted a prospective multicenter cohort study of PwMS and related CNS autoimmune conditions with confirmed breakthrough infections. Postvaccination antibody response, disease-modifying therapies (DMTs) at the time of vaccination, and DMT at the time of infection were assessed. RESULTS: = 0.0533). However, neither use of anti-CD20 agents at the time of vaccination nor postvaccination antibody response was associated with hospitalization risk. Anti-CD20 therapies were relatively overrepresented compared to a similar prevaccination-era COVID-19 cohort. CONCLUSION:Use of anti-CD20 therapies during vaccine breakthrough COVID-19 infection is associated with higher severity. However, the attenuated postvaccination humoral response associated with anti-CD20 therapy use during vaccination may not drive increased infection severity. Further studies are necessary to determine if this attenuated vaccine response may be associated with an increased likelihood of breakthrough infection.

Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by forecasting clinical and operational events. Existing structured data-based clinical predictive models have limited use in everyday practice owing to complexity in data processing, as well as model development and deployment^1-3. Here we show that unstructured clinical notes from the electronic health record can enable the training of clinical language models, which can be used as all-purpose clinical predictive engines with low-resistance development and deployment. Our approach leverages recent advances in natural language processing^4,5 to train a large language model for medical language (NYUTron) and subsequently fine-tune it across a wide range of clinical and operational predictive tasks. We evaluated our approach within our health system for five such tasks: 30-day all-cause readmission prediction, in-hospital mortality prediction, comorbidity index prediction, length of stay prediction, and insurance denial prediction. We show that NYUTron has an area under the curve (AUC) of 78.7-94.9%, with an improvement of 5.36-14.7% in the AUC compared with traditional models. We additionally demonstrate the benefits of pretraining with clinical text, the potential for increasing generalizability to different sites through fine-tuning and the full deployment of our system in a prospective, single-arm trial. These results show the potential for using clinical language models in medicine to read alongside physicians and provide guidance at the point of care.

BACKGROUND:The novel optic neuritis (ON) diagnostic criteria include intereye differences (IED) of optical coherence tomography (OCT) parameters. IED has proven valuable for ON diagnosis in multiple sclerosis but has not been evaluated in aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorders (AQP4+NMOSD). We evaluated the diagnostic accuracy of intereye absolute (IEAD) and percentage difference (IEPD) in AQP4+NMOSD after unilateral ON >6 months before OCT as compared with healthy controls (HC). METHODS:Twenty-eight AQP4+NMOSD after unilateral ON (NMOSD-ON), 62 HC and 45 AQP4+NMOSD without ON history (NMOSD-NON) were recruited by 13 centres as part of the international Collaborative Retrospective Study on retinal OCT in Neuromyelitis Optica study. Mean thickness of peripapillary retinal nerve fibre layer (pRNFL) and macular ganglion cell and inner plexiform layer (GCIPL) were quantified by Spectralis spectral domain OCT. Threshold values of the ON diagnostic criteria (pRNFL: IEAD 5 µm, IEPD 5%; GCIPL: IEAD: 4 µm, IEPD: 4%) were evaluated using receiver operating characteristics and area under the curve (AUC) metrics. RESULTS:The discriminative power was high for NMOSD-ON versus HC for IEAD (pRNFL: AUC 0.95, specificity 82%, sensitivity 86%; GCIPL: AUC 0.93, specificity 98%, sensitivity 75%) and IEPD (pRNFL: AUC 0.96, specificity 87%, sensitivity 89%; GCIPL: AUC 0.94, specificity 96%, sensitivity 82%). The discriminative power was high/moderate for NMOSD-ON versus NMOSD-NON for IEAD (pRNFL: AUC 0.92, specificity 77%, sensitivity 86%; GCIP: AUC 0.87, specificity 85%, sensitivity 75%) and for IEPD (pRNFL: AUC 0.94, specificity 82%, sensitivity 89%; GCIP: AUC 0.88, specificity 82%, sensitivity 82%). CONCLUSIONS:Results support the validation of the IED metrics as OCT parameters of the novel diagnostic ON criteria in AQP4+NMOSD.

OBJECTIVE:Autoimmune encephalitis can be followed by treatment-resistant epilepsy. Understanding its predictors and mechanisms are crucial to future studies to improve autoimmune encephalitis outcomes. Our objective was to determine the clinical and imaging predictors of postencephalitic treatment-resistant epilepsy. METHODS:We performed a retrospective cohort study (2012-2017) of adults with autoimmune encephalitis, both antibody positive and seronegative but clinically definite or probable. We examined clinical and imaging (as defined by morphometric analysis) predictors of seizure freedom at long term follow-up. RESULTS:Of 37 subjects with adequate follow-up data (mean 4.3 yrs, SD 2.5), 21 (57 %) achieved seizure freedom after a mean time of 1 year (SD 2.3), and one third (13/37, 35 %) discontinued ASMs. Presence of mesial temporal hyperintensities on the initial MRI was the only independent predictor of ongoing seizures at last follow-up (OR 27.3, 95 %CI 2.48-299.5). Morphometric analysis of follow-up MRI scans (n = 20) did not reveal any statistically significant differences in hippocampal, opercular, and total brain volumes between patients with postencephalitic treatment-resistant epilepsy and those without. SIGNIFICANCE/CONCLUSIONS:Postencephalitic treatment-resistant epilepsy is a common complication of autoimmune encephalitis and is more likely to occur in those with mesial temporal hyperintensities on acute MRI. Volume loss in the hippocampal, opercular, and overall brain on follow-up MRI does not predict postencephalitic treatment-resistant epilepsy, so additional factors beyond structural changes may account for its development.