Faculty Bibliography

Artificial intelligence has recently gained popularity across different medical fields to aid in the detection of diseases based on pathology samples or medical imaging findings. Brain magnetic resonance imaging (MRI) is a key assessment tool for patients with temporal lobe epilepsy (TLE). The role of machine learning and artificial intelligence to increase detection of brain abnormalities in TLE remains inconclusive. We used support vector machine (SV) and deep learning (DL) models based on region of interest (ROI-based) structural (n = 336) and diffusion (n = 863) brain MRI data from patients with TLE with ("lesional") and without ("non-lesional") radiographic features suggestive of underlying hippocampal sclerosis from the multinational (multi-center) ENIGMA-Epilepsy consortium. Our data showed that models to identify TLE performed better or similar (68-75%) compared to models to lateralize the side of TLE (56-73%, except structural-based) based on diffusion data with the opposite pattern seen for structural data (67-75% to diagnose vs. 83% to lateralize). In other aspects, structural and diffusion-based models showed similar classification accuracies. Our classification models for patients with hippocampal sclerosis were more accurate (68-76%) than models that stratified non-lesional patients (53-62%). Overall, SV and DL models performed similarly with several instances in which SV mildly outperformed DL. We discuss the relative performance of these models with ROI-level data and the implications for future applications of machine learning and artificial intelligence in epilepsy care.

PURPOSE/OBJECTIVE:In neurogenic orthostatic hypotension, blood pressure falls when upright owing to impaired release of norepinephrine, leading to dizziness. Ampreloxetine, a selective norepinephrine reuptake inhibitor, increases circulating norepinephrine levels. This study explored the safety of ampreloxetine and its effect on blood pressure and symptoms in patients with neurogenic orthostatic hypotension. METHODS:A multicenter ascending-dose trial (range 1-20 mg, Part A) was followed by a 1 day, double-blind, randomized, placebo-controlled study (median dose 15 mg, Part B). Eligible patients then enrolled in a 20-week, open-label, steady-state extension phase (median dose 10 mg, Part C) followed by a 4-week withdrawal. Assessments included the Orthostatic Hypotension Symptom Assessment Scale (item 1), supine/seated/standing blood pressure, and safety. RESULTS:Thirty-four patients (age 66 ± 8 years, 22 men) were enrolled. Part A: The proportion of participants with a positive response (i.e., increase from baseline in seated systolic blood pressure of ≥ 10 mmHg) was greater with the 5 and 10 mg ampreloxetine doses than with placebo or other active ampreloxetine doses. Part B: Seated blood pressure increased 15.7 mmHg 4 h after ampreloxetine and decreased 14.2 mmHg after placebo [least squares mean difference (95% CI) 29.9 mmHg (7.6-52.3); P = 0.0112]. Part C: Symptoms of dizziness/lightheadedness improved 3.1 ± 3.0 points from baseline and standing systolic blood pressure increased 11 ± 12 mmHg. After 4 weeks of withdrawal, symptoms returned to pretreatment levels. The effect of ampreloxetine on supine blood pressure was minimal throughout treatment duration. CONCLUSION/CONCLUSIONS:Ampreloxetine was well tolerated and improved orthostatic symptoms and seated/standing blood pressure with little change in supine blood pressure. TRIAL REGISTRATION/BACKGROUND:NCT02705755 (first posted March 10, 2016).

Introduction/UNASSIGNED:Given the opioid epidemic in the US, it is vital that clinicians who prescribe opioids for pain management to do so in an evidence-based manner, eg considering all pharmacologic and non-pharmacologic options, assessing risk of opioid use disorder prior to initiating opioids. Continuing education regarding the evidence-based prescribing of opioids is now required for US healthcare providers who prescribe opioids. A "blueprint" of the content to be included in continuing education programs was developed by the US Food and Drug Administration and updated in 2018. Methods/UNASSIGNED:To understand the baseline knowledge and confidence of healthcare professionals in prescribing opioids for pain management, we posed 27 unique knowledge-based questions and 1 confidence question to clinician participants before or during 2 continuing educational programs that were based respectively on the 2016 and 2018 FDA Risk Evaluation and Mitigation Strategy (REMS) educational blueprints for pain management. Results/UNASSIGNED:Overall, 5571 clinicians completed these programs, including 1925 physicians (1516 [79%] identifying as primary care), 1181 physician assistants, 737 advanced practice nurses, 719 nurses, and 479 pharmacists. Responses to pretest questions in both programs indicated profound and persistent gaps in knowledge, particularly in definitions and mechanisms of pain, general principles of pharmacologic analgesic therapy, and specific aspects of opioid analgesic therapy and addiction. Participants in both programs also expressed limited confidence in their abilities to incorporate patient engagement techniques into pain management or develop a treatment plan for a patient with chronic pain. Discussion/UNASSIGNED:These data support an ongoing need for comprehensive clinician-based education as outlined in the FDA REMS educational blueprint, especially given recent data of escalating overdose deaths during the COVID-19 pandemic.

PURPOSE OF REVIEW/OBJECTIVE:Patent foramen ovale (PFO) is widely prevalent and studies have suggested an association with ischemic stroke. In this review, we aim to highlight current management of patients with ischemic stroke in the setting of PFO and discuss some areas of controversy. RECENT FINDINGS/RESULTS:Upon reviewing the literature, we have found that the evidence regarding the management of patients with cryptogenic stroke and PFO has come a long way in the past several years, and many uncertainties remain in clinical practice. The Risk of Paradoxical Embolism (RoPE) score helps to predict the probability of a pathogenic PFO, and recent trial data confirms the benefit of closure in carefully selected patients. The benefit of closure in older patients and in patients with alternate, competing mechanisms is still uncertain, and the long-term risks of closure are not known. Finally, the efficacy of direct oral anticoagulants (DOACs) in this patient population as compared to other medical therapy or mechanical closure has not yet been investigated. Randomized data is needed to help answer these questions. PFO closure is a safe and effective strategy in reducing stroke risk in carefully selected patients with cryptogenic stroke in the setting of a PFO. More studies are needed to test optimal medical treatment strategies and the safety and efficacy of PFO closure in patient subgroups not included in prior PFO closure trials.

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Perception results from the interplay of sensory input and prior knowledge. Despite behavioral evidence that long-term priors powerfully shape perception, the neural mechanisms underlying these interactions remain poorly understood. We obtained direct cortical recordings in neurosurgical patients as they viewed ambiguous images that elicit constant perceptual switching. We observe top-down influences from the temporal to occipital cortex, during the preferred percept that is congruent with the long-term prior. By contrast, stronger feedforward drive is observed during the non-preferred percept, consistent with a prediction error signal. A computational model based on hierarchical predictive coding and attractor networks reproduces all key experimental findings. These results suggest a pattern of large-scale information flow change underlying long-term priors' influence on perception and provide constraints on theories about long-term priors' influence on perception.

Objective/UNASSIGNED:At the time of multiple sclerosis (MS) diagnosis, identifying those at risk for poorer health-related quality of life and emotional well-being can be a critical consideration for treatment planning. This study aimed to test whether adverse childhood experiences predict MS patients' health-related quality of life and emotional functioning at time of diagnosis and initial course of disease. Methods/UNASSIGNED:We recruited patients at the time of new MS diagnosis to complete self-report surveys at baseline and a one-year follow-up. Questionnaires included the Adverse Childhood Experiences (ACEs), as well as the MS Knowledge Questionnaire (MSKQ), the 36-Item Short Form Health Survey (SF-36), and Self-Management Screening (SeMaS). Results/UNASSIGNED: Conclusions/UNASSIGNED:Childhood adversity predicts health-related quality of life and emotional well-being at time of MS diagnosis and over the initial course of the disease. Measured using a brief screening inventory (ACEs), routine administration may be useful for identifying patients in need of increased supportive services.

From August 27-28, 2020 the Epilepsy Foundation hosted the Pipeline Conference, exploring emerging issues related to antiepileptic drug and device development. The conference featured epilepsy therapeutic companies and academic laboratories developing drugs for focal epilepsies, innovations for rare and ultra-rare diseases, and devices both in clinical trials and approved for use. In this paper, we outline the virtual presentations by the authors, including novel data from their development pipeline.

OBJECTIVES/OBJECTIVE:We contrasted the relative risks (RR) of short [<7 h] and long [>8 h] sleep experienced by middle-aged (45-64 years) and older (≥65 years) adults, compared with young adults (20-44 years). METHODS:We utilized NHANES data (2005-2016), capturing sociodemographic, socioeconomic, and health-related data among US adults. RESULTS:The Relative Risk (RR) of short sleep between young and middle-aged adults did not differ [RR = 1.02, NS]. However, the RR of short sleep was significantly reduced among older participants [RR = 0.81, p < 0.01]. Middle-aged adults had significantly lower RR of long sleep [RR = 0.80, p < 0.01], whereas older adults had significantly greater RR of long sleep [RR = 1.41, p < 0.01]. Compared with young adults, older adults with or without increased disease burden had significantly lower RR of short sleep [RR = 0.81, p < 0.01 and RR = 0.80, p < 0.01], respectively. However, for middle-aged adults, the RR of short sleep did not differ whether they reported a greater disease burden. Relative to young adults, older adults with or without disease burden had higher RRs of long sleep [RR = 1.39, p < 0.01] and [RR = 1.45, p < 0.01], respectively. For middle-aged adults without disease burden, the RR of long sleep was lower than among young adults [RR = 0.72, p < 0.01]. CONCLUSIONS:Compared with young adults, older adults were not at increased risk for short sleep. Rather, they reported longer sleep time regardless of the presence of disease burden. Future studies should investigate longitudinal effects of aging on objective sleep time, with or without common diseases.