Faculty Bibliography

Automatic assessment of impairment and disease severity is a key challenge in data-driven medicine. We propose a framework to address this challenge, which leverages AI models trained exclusively on healthy individuals. The COnfidence-Based chaRacterization of Anomalies (COBRA) score exploits the decrease in confidence of these models when presented with impaired or diseased patients to quantify their deviation from the healthy population. We applied the COBRA score to address a key limitation of current clinical evaluation of upper-body impairment in stroke patients. The gold-standard Fugl-Meyer Assessment (FMA) requires in-person administration by a trained assessor for 30-45 minutes, which restricts monitoring frequency and precludes physicians from adapting rehabilitation protocols to the progress of each patient. The COBRA score, computed automatically in under one minute, is shown to be strongly correlated with the FMA on an independent test cohort for two different data modalities: wearable sensors (ρ = 0.814, 95% CI [0.700,0.888]) and video (ρ = 0.736, 95% C.I [0.584, 0.838]). To demonstrate the generalizability of the approach to other conditions, the COBRA score was also applied to quantify severity of knee osteoarthritis from magnetic-resonance imaging scans, again achieving significant correlation with an independent clinical assessment (ρ = 0.644, 95% C.I [0.585,0.696]).

OBJECTIVE:The objective of this study was to investigate the use of indocyanine green videoangiography with FLOW 800 hemodynamic parameters intraoperatively during superficial temporal artery-middle cerebral artery (STA-MCA) bypass surgery to predict patency prior to anastomosis performance. METHODS:A retrospective and exploratory data analysis was conducted using FLOW 800 software prior to anastomosis to assess four regions of interest (ROIs; proximal and distal recipients and adjacent and remote gyri) for four hemodynamic parameters (speed, delay, rise time, and time to peak). Medical records were used to classify patients into flow and no-flow groups based on immediate or perioperative anastomosis patency. Hemodynamic parameters were compared using univariate and multivariate analyses. Principal component analysis was used to identify high risk of no flow (HRnf) and low risk of no flow (LRnf) groups, correlated with prospective angiographic follow-ups. Machine learning models were fitted to predict patency using FLOW 800 features, and the a posteriori effect of complication risk of those features was computed. RESULTS:A total of 39 cases underwent STA-MCA bypass surgery with complete FLOW 800 data collection. Thirty-five cases demonstrated flow after anastomosis revascularization and were compared with 4 cases with no flow after revascularization. Proximal and distal recipient speeds were significantly different between the no-flow and flow groups (proximal: 238.3 ± 120.8 and 138.5 ± 93.6, respectively [p < 0.001]; distal: 241.0 ± 117.0 and 142.1 ± 103.8, respectively [p < 0.05]). Based on principal component analysis, the HRnf group (n = 10) was characterized by high-flow speed (> 75th percentile) in all ROIs, whereas the LRnf group (n = 10) had contrasting patterns. In prospective long-term follow-up, 6 of 9 cases in the HRnf group, including the original no-flow cases, had no or low flow, whereas 8 of 8 cases in the LRnf group maintained robust flow. Machine learning models predicted patency failure with a mean F1 score of 0.930 and consistently relied on proximal recipient speed as the most important feature. Computation of posterior likelihood showed a 95.29% chance of patients having long-term patency given a lower proximal speed. CONCLUSIONS:These results suggest that a high proximal speed measured in the recipient vessel prior to anastomosis can elevate the risk of perioperative no flow and long-term reduction of flow. With an increased dataset size, continued FLOW 800-based ROI metric analysis could be used to guide intraoperative anastomosis site selection prior to anastomosis and predict patency outcome.

INTRODUCTION/UNASSIGNED:Transcranial direct current stimulation (tDCS) is a non-invasive neuromodulation technique with simultaneous (during stimulation) and cumulative effects (after repeated sessions) on blood flow and neuronal metabolism. These effects remain mostly unclear especially in multiple sclerosis (MS). This work aims to elucidate brain metabolic and hemodynamic underpinnings of tDCS and its potential therapeutic impact in MS patients using quantitative tDCS-MRI. METHODS/UNASSIGNED:) were obtained at pre-tDCS, during-tDCS and post-tDCS. RESULTS/UNASSIGNED:and CBF in pre-tDCS follow up, reaching the magnitudes measured at baseline during-tDCS. DISCUSSION/UNASSIGNED:TDCS induces an acute surge in metabolic activity persisting immediately after the stimulation is removed. Moreover, treatment composed of repeated tDCS-aCT paired sessions contributes to establishing long-lasting increases in neuronal activity.

BACKGROUND:Neurodevelopmental disorder with dysmorphic facies and distal limb anomalies (NEDDFL) is associated to BPTF gene haploinsufficiency. Epilepsy was not included in the initial descriptions of NEDDFL, but emerging evidence indicates that epileptic seizures occur in some affected individuals. This study aims to investigate the electroclinical epilepsy features in individuals with NEDDFL. METHODS:We enrolled individuals with BPTF-related seizures or interictal epileptiform discharges (IEDs) on electroencephalography (EEG). Demographic, clinical, genetic, raw EEG, and neuroimaging data as well as response to antiseizure medication were assessed. RESULTS:We studied 11 individuals with a null variant in BPTF, including five previously unpublished ones. Median age at last observation was 9 years (range: 4 to 43 years). Eight individuals had epilepsy, one had a single unprovoked seizure, and two showed IEDs only. Key features included (1) early childhood epilepsy onset (median 4 years, range: 10 months to 7 years), (2) well-organized EEG background (all cases) and brief bursts of spikes and slow waves (50% of individuals), and (3) developmental delay preceding seizure onset. Spectrum of epilepsy severity varied from drug-resistant epilepsy (27%) to isolated IEDs without seizures (18%). Levetiracetam was widely used and reduced seizure frequency in 67% of the cases. CONCLUSIONS:Our study provides the first characterization of BPTF-related epilepsy. Early-childhood-onset epilepsy occurs in 19% of subjects, all presenting with a well-organized EEG background associated with generalized interictal epileptiform abnormalities in half of these cases. Drug resistance is rare.

BACKGROUND/UNASSIGNED:Our review of 12 articles for this perspective showed the frequency of intraoperative thoracic and/or lumbar CSF fistulas/dural tears (DT) ranged from 2.6% - 8% for primary surgical procedures. Delayed postoperative CSF leak/DT were also diagnosed in 0.83% (17/2052 patients) to 14.3% (2/14 patients) of patients undergoing thoracic and/or lumbar procedures. Further, the rate of recurrent postoperative CSF leaks/DT varied from 13.3% (2/15 patients) to 33.3% (4/12 patients). METHODS/UNASSIGNED:Intraoperative, postoperative delayed, and recurrent postoperative traumatic postsurgical thorac CSF leaks/DT can be limited by performing initially sufficient operative decompressions and/or decompressions/fusions (i.e., utilizing adequate open exposures vs. inadequate minimally invasive (MI) approaches). The incidence of CSF leaks/DT can be further reduced by spine surgeons' utilization of operating microscopes, and their avoiding routine attempts at total synovial cyst excision and/or complete resection of hypertrophied/ossified yellow ligament in the presence of significant dural adhesions. RESULTS/UNASSIGNED:Multiple CSF leak/CT repair techniques included; using interrupted, non-resorbable sutures for direct dural repairs (i.e. 7-0 Gore-Tex sutures where the suture is larger than the needle thus plugging needle holes), and adding where needed muscle patch grafts, microfibrillar collagen, the rotation of Multifidus muscle pedicle flaps, fibrin sealants (FS)/fibrin glues (FG), lumbar drains (LD), and/or lumbo-peritoneal (LP) shunts. CONCLUSION/UNASSIGNED:Intraoperative, postopertive delayed, and/or recurrent postoperative thorac and/or lumbar traumatic surgical CSF leaks can be reduced by choosing to initially perform the appropriately extensive open operative decompressions and/or decompresssions/fusions. It is critical to use an operating microscope, non-resorbable interrupted sutures, and where necessary, muscle patch grafts, microfibrillar collagen, the rotation of Multifidus Muscle Pedicle Flaps, FS/FG, LD, and/or LP shunts.

BACKGROUND:(p-tau), as well as the trajectories of these CSF measures obtained longitudinally. RESULTS:A total of 111 ADNI and 190 NYU participants classified as CU with available NLR, CSF, and covariate data were included. Compared to NYU, ADNI participants were older (73.79 vs. 61.53, p < 0.001), had a higher proportion of males (49.5% vs. 36.8%, p = 0.042), higher BMIs (27.94 vs. 25.79, p < 0.001), higher prevalence of hypertensive history (47.7% vs. 16.3%, p < 0.001), and a greater percentage of Aβ-positivity (34.2% vs. 20.0%, p = 0.009). In the ADNI cohort, we found cross-sectional associations between the NLR and CSF Aβ42 (β = -12.193, p = 0.021), but not t-tau or p-tau. In the NYU cohort, we found cross-sectional associations between the NLR and CSF t-tau (β = 26.812, p = 0.019) and p-tau (β = 3.441, p = 0.015), but not Aβ42. In the NYU cohort alone, subjects classified as Aβ + (n = 38) displayed a stronger association between the NLR and t-tau (β = 100.476, p = 0.037) compared to Aβ- subjects or the non-stratified cohort. In both cohorts, the same associations observed in the cross-sectional analyses were observed after incorporating longitudinal CSF data. CONCLUSIONS:We report associations between the NLR and Aβ42 in the older ADNI cohort, and between the NLR and t-tau and p-tau in the younger NYU cohort. Associations persisted after adjusting for comorbidities, suggesting a direct link between the NLR and AD. However, changes in associations between the NLR and specific AD biomarkers may occur as part of immunosenescence.

The last decade has seen a boom in pain medicine, basic science and interventional pain management. Concomitantly, there is a need to educate trainees, young attendings, and seasoned attendings on these innovations. There has been a growth in the number of societies that represent pain medicine physicians, each with its own philosophy and guiding principles. The variety of thought within pain management, within the various groups that practice this field, and amongst the societies which protect those missions inherently creates divergence and isolation within these different communities. There is the enormous opportunity for our field to grow, but we need the voices of all different specialties and sub-specialties which practice pain medicine to collectively design the future of our emerging field. The explosion of revolutionary percutaneous surgeries, medications, psychotherapy, and research and development in our field has outpaced the ability of payers to fully embrace them. There is an increased number of pain practitioners using novel therapies, postgraduate training programs do not adequately train users in these techniques thereby creating a potential for sub-optimal outcomes. In part, this is a reason why payers for many of our more novel treatments have decreased patient access or eliminated remuneration for some of them. We believe that society-based collaborative regulation of education, research, and treatment guidelines is needed to improve visibility for payers and end users who provide these treatments. Furthermore, postgraduate chronic pain fellowship education has been deemed by many to be insufficient to educate on all of the necessary requirements needed for the independent practice of pain medicine, especially the consummation of newer technologies. Here, we draw comparison with this tenuous stage in pain management history with the last United States recession to remind us of how poor institutional regulation and neglect for long-term growth hampers a community.

BACKGROUND/UNASSIGNED:Cognitive decline in multiple sclerosis (MS) is common, but unpredictable, and increases with disease duration. As such, early detection of cognitive decline may improve the effectiveness of interventions. To that end, the Symbol Digit Modalities Test (SDMT) is effective in detecting slow processing speed as it relates to cognitive impairment, and intraindividual variability (IIV) observed in trials assessing continuous reaction time (RT) may be a useful indicator of early cognitive changes. Here, we will assess cognitive IIV changes in adults with early MS. METHODS/UNASSIGNED:Adults with relapsing-remitting MS (RRMS), <11 years since diagnosis, were recruited nationally. Baseline and two-year follow-up assessments included Brief International Cognitive Assessment in MS (BICAMS) and Cogstate computerized tests. Intraindividual variability in RT was calculated from psychomotor tasks and data were age-normalized. RESULTS/UNASSIGNED:= 0.05) compared to the lower SDMT group, with no significant RT or BICAMS changes. CONCLUSIONS/UNASSIGNED:In early MS, higher SDMT performance at baseline is associated with less cognitive variability but may indicate susceptibility to increased variability over time, highlighting the importance of monitoring IIV for early cognitive changes.