Logan Schneider
Adjunct Clinical Associate Professor, Psychiatry and Behavioral Sciences
Bio
Dr. Logan Schneider specializes in the treatment of sleep disorders, which include things like sleep apnea, narcolepsy, insomnia, restless legs syndrome, sleepwalking, and REM-sleep behavior disorder. He has practiced Sleep Neurology for more than 5 years. Dr. Schneider has a special interest in REM-sleep behavior disorder and other parasomnias (such as sleepwalking).
Clinical Focus
- Sleep Medicine
Administrative Appointments
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Chair, Alliance Awards Workgroup, American Academy of Neurology (2017 - Present)
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Project Leader, New Program Offerings workgroup, American Academy of Neurology - Graduate Education Subcommittee (2017 - 2018)
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Chair, Sleep Medicine Section, American Academy of Neurology (2016 - 2020)
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Chair-elect, Chair, Past Chair (3-year term), Consortium of Neurology Residents and Fellows, American Academy of Neurology (2013 - 2016)
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Chief Resident, Johns Hopkins, Department of Neurology (2013 - 2014)
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Department of Neurology Representative, Housestaff Patients Safety and Quality Council, Johns Hopkins Medical Institute (2013 - 2014)
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Webmaster, Neurology Residency website, Johns Hopkins, Department of Neurology (2013 - 2014)
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Resident representative, Residency Selection Committee, Johns Hopkins, Department of Neurology (2012 - 2014)
Honors & Awards
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SRS Trainee Merit Award, Sleep Research Society (2017)
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AASM Young Investigators Research Forum, American Academy of Sleep Medicine (2016)
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AAN Fellow Scholarship to the Annual Meeting, American Academy of Neurology (2015)
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Sleep Research Network Travel Award, Sleep Research Network (2015)
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AAN Resident Scholarship to the Annual Meeting, American Academy of Neurology (2014)
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Housestaff Teaching Award, Johns Hopkins Medical Institute (2014)
Boards, Advisory Committees, Professional Organizations
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AAN Annual Meeting Sleep Topic workgroup member, American Academy of Neurology (2017 - Present)
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AASM Trainee Symposia Series Subcommittee member, American Academy of Sleep Medicine (2017 - Present)
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Editorial Board member, Practical Neurology (2017 - Present)
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Educational Products Subcommittee member, American Academy of Sleep Medicine (2016 - Present)
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Graduate Education Subcommittee member, American Academy of Neurology (2015 - Present)
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Awards Workgroup member, American Academy of Neurology (2015 - 2017)
Professional Education
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Board Certification: American Board of Psychiatry and Neurology, Sleep Medicine (2015)
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Board Certification: American Board of Psychiatry and Neurology, Neurology (2014)
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Fellowship: Stanford Hospitals and Clinics (2015) CA
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Residency: Johns Hopkins Hospital and Bayview Medical Center (2014) MD
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Internship: Shands at the University of Florida (2011) FL
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Medical Education: University of Florida, College of Medicine (2010) FL
Community and International Work
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Manual of the Neurologic Examination for Neurologists in Training
Topic
Neurology clinical training
Partnering Organization(s)
European Academy of Neurology and German Neurological Society
Populations Served
Neurologist and physicians-in-training throughout the world
Location
International
Ongoing Project
Yes
Opportunities for Student Involvement
Yes
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Synopsys Science & Technology Championship, Santa Clara, CA
Topic
middle/high school science fair competition
Populations Served
Students in Silicon Valley
Location
Bay Area
Ongoing Project
Yes
Opportunities for Student Involvement
No
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Cardinal Free Clinics
Topic
Free general and neurologic medical care for the local community
Partnering Organization(s)
Stanford University, School of Medicine
Populations Served
Bay Area indigent population
Location
Bay Area
Ongoing Project
Yes
Opportunities for Student Involvement
Yes
Current Research and Scholarly Interests
From a research perspective, my long-term career plan is to refine the understanding of normal and dysfunctional sleep, much like the Epilepsy Phenome/Genome Project (EPGP) and Epi4K are doing for the enigmatic epilepsies. Insufficient sleep has been deemed a public health problem with poorly understood behavioral and physiologic sleep disorders lying at the core of the issue. I am currently using well-defined distinct and objective phenotypes (e.g. periodic limb movements, hypocretin-deficient narcolepsy) to acquire the analytic skills necessary to expand my knowledge of both signal processing and genetics, with the former enhancing my ability to identify and/or refine sleep phenotypes, and the latter facilitating the pathophysiological understanding of these phenotypes. As a consequence of a better link between symptoms/phenotypes, physiology, and genetic risks, more personally targeted and effective therapeutics can be developed to address the enriched spectrum of sleep disorders.
Graduate and Fellowship Programs
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Sleep Medicine (Fellowship Program)
All Publications
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Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program.
Nature medicine
2024
Abstract
Poor sleep health is associated with increased all-cause mortality and incidence of many chronic conditions. Previous studies have relied on cross-sectional and self-reported survey data or polysomnograms, which have limitations with respect to data granularity, sample size and longitudinal information. Here, using objectively measured, longitudinal sleep data from commercial wearable devices linked to electronic health record data from the All of Us Research Program, we show that sleep patterns, including sleep stages, duration and regularity, are associated with chronic disease incidence. Of the 6,785 participants included in this study, 71% were female, 84% self-identified as white and 71% had a college degree; the median age was 50.2 years (interquartile range = 35.7, 61.5) and the median sleep monitoring period was 4.5 years (2.5, 6.5). We found that rapid eye movement sleep and deep sleep were inversely associated with the odds of incident atrial fibrillation and that increased sleep irregularity was associated with increased odds of incident obesity, hyperlipidemia, hypertension, major depressive disorder and generalized anxiety disorder. Moreover, J-shaped associations were observed between average daily sleep duration and hypertension, major depressive disorder and generalized anxiety disorder. These findings show that sleep stages, duration and regularity are all important factors associated with chronic disease development and may inform evidence-based recommendations on healthy sleeping habits.
View details for DOI 10.1038/s41591-024-03155-8
View details for PubMedID 39030265
View details for PubMedCentralID 2864873
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Long-Term Treatment of Narcolepsy and Idiopathic Hypersomnia with Low-Sodium Oxybate.
Nature and science of sleep
2023; 15: 663-675
Abstract
Narcolepsy and idiopathic hypersomnia are chronic conditions that negatively affect alertness, mental and physical energy, functioning, and quality of life (QoL). Calcium, magnesium, potassium, and sodium oxybates (low-sodium oxybate; LXB) is an oxybate formulation with 92% less sodium than sodium oxybate (SXB; a treatment for narcolepsy) and the same active moiety. LXB is approved in the US for treatment of cataplexy or excessive daytime sleepiness (EDS) in patients 7 years of age or older with narcolepsy, and idiopathic hypersomnia in adults. In Phase 3 clinical trials, LXB exhibited a safety profile consistent with that of SXB in narcolepsy. Besides continued efficacy in treating symptoms, potential benefits of long-term LXB treatment include flexible optimization of dosing and regimen, improvement of QoL and functioning, weight loss, and (relative to SXB in narcolepsy) health benefits of reduced sodium content. Dosing of LXB is twice nightly (for narcolepsy) or once or twice nightly (for idiopathic hypersomnia) based on patient characteristics and response, and individualized titration can be leveraged over the long term as a patient's life circumstances change. Patients with narcolepsy transitioning from SXB initiate LXB at the same dose, and most patients require no further changes to achieve similar efficacy and tolerability. Improvements in functioning and QoL with LXB treatment could have cascading positive effects in multiple domains, particularly in younger patients. In clinical trials, LXB was associated with weight loss in both narcolepsy (in which obesity is a well-established comorbidity) and idiopathic hypersomnia, only occasionally leading participants to be underweight. As both narcolepsy and idiopathic hypersomnia are associated with increased risk of cardiometabolic and cardiovascular comorbidities, limiting medication-related sodium intake with LXB may have significant health benefits, although this has not yet been verified prospectively due to the prolonged follow-up required. LXB is a promising long-term treatment for narcolepsy and idiopathic hypersomnia.
View details for DOI 10.2147/NSS.S412793
View details for PubMedID 37621721
View details for PubMedCentralID PMC10445641
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Characteristics and Disease Burden of Patients With Idiopathic Hypersomnia With and Without Long Sleep Time: The Real-World Idiopathic Hypersomnia Outcomes Study (ARISE)
LIPPINCOTT WILLIAMS & WILKINS. 2023
View details for DOI 10.1212/WNL.0000000000202234
View details for Web of Science ID 001053672103056
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Symptom Severity and Treatment Satisfaction in Patients with Idiopathic Hypersomnia: The Real World Idiopathic Hypersomnia Outcomes Study (ARISE).
Nature and science of sleep
2023; 15: 89-101
Abstract
Objective: Idiopathic hypersomnia is a debilitating sleep disorder characterized by excessive daytime sleepiness, sleep inertia, and prolonged sleep duration. The patient burden of idiopathic hypersomnia is poorly understood. The Real World Idiopathic Hypersomnia Outcomes Study (ARISE) evaluated symptoms and treatment effectiveness/satisfaction in participants with idiopathic hypersomnia.Methods: ARISE was a United States-based virtual cross-sectional survey. Participants were adults 21-65 years of age with idiopathic hypersomnia recruited from social media, the Hypersomnia Foundation website, and a patient panel. Self-assessments included the Epworth Sleepiness Scale (ESS), Idiopathic Hypersomnia Severity Scale (IHSS), Treatment Satisfaction Questionnaire for Medication, version II (TSQM-vII), and additional treatment questions. Data were analyzed for all participants and for subgroups with/without long sleep time (LST; ≥11 hours in 24 hours).Results: Of 75 participants enrolled, most were female (81.3%). The mean (SD) age was 34.1 (10.7) years and 49% had LST. Most participants took off-label prescription medications (89.3%) and/or used other measures (93.3%) to manage their symptoms. The mean (SD) ESS score was 14.5 (3.5) and the mean IHSS score was 35.2 (7.6). Treatment satisfaction was low (mean [SD] TSQM-vII score: overall, 61.9 [21.2]; with LST, 57.9 [21.4]; without LST, 66.7 [20.3]), primarily driven by dissatisfaction with treatment effectiveness. The most common classes of prescription medications used were stimulants (61.3%), wake-promoting agents (28.0%), and antidepressants (18.7%); non-prescription measures used to manage symptoms included caffeine (73.3%), planned naps (34.7%), and individual accommodations (32.0%).Conclusion: Overall, participants with idiopathic hypersomnia, with or without LST, had substantial symptom burden despite most of the study population taking off-label medications and using nonprescription measures to manage symptoms.
View details for DOI 10.2147/NSS.S386021
View details for PubMedID 36937782
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Impairment in Functioning and Quality of Life in Patients with Idiopathic Hypersomnia: The Real World Idiopathic Hypersomnia Outcomes Study (ARISE).
Nature and science of sleep
2023; 15: 593-606
Abstract
Purpose: Idiopathic hypersomnia is a debilitating neurologic sleep disorder characterized by excessive daytime sleepiness, sleep inertia, and prolonged sleep. Its impact on patients' quality of life and daily functioning has not been fully elucidated. The Real World Idiopathic Hypersomnia Outcomes Study (ARISE) evaluated the daily functioning, relationships, cognition, emotional well-being, and productivity/employment of participants with idiopathic hypersomnia.Patients and Methods: ARISE was a US-based virtual cross-sectional survey comprising multiple patient-reported outcome measures (Functional Outcomes of Sleep Questionnaire, short version [FOSQ-10], Quality of Life in Neurological Disorders [Neuro-QoL] Social Roles and Stigma domains, British Columbia Cognitive Complaints Inventory [BC-CCI], Patient Health Questionnaire [PHQ-9], and the Work Productivity and Activity Impairment Questionnaire: Specific Health Problem [WPAI:SHP]). Participants were adults 21-65 years of age with idiopathic hypersomnia. Data were analyzed for all participants and for subgroups with/without long sleep time (LST; self-reported sleep ≥11 hours in 24 hours).Results: Of 75 participants enrolled, most were female (81.3%) and the mean (SD) age was 34.1 (10.7) years. Participants' scores on the FOSQ-10 (mean [SD] score: 10.7 [2.8]) and the Neuro-QoL Social Roles (43.4 [4.2]) and Stigma (57.3 [5.9]) domains reflected impairments in daily functioning and quality of life. More than half of participants reported moderate to severe cognitive complaints (BC-CCI; 62.7%) and moderate to severe depressive symptoms (PHQ-9; 66.7%). Scores on the WPAI:SHP showed substantial impairments in absenteeism, presenteeism, overall work productivity, and overall regular daily activity (mean percent [SD]: 12.3 [23.6], 47.6 [22.7], 51.4 [24.7], and 64.0 [21.9], respectively). These considerable impairments were found in participants with and without LST.Conclusion: ARISE participants with idiopathic hypersomnia demonstrated poor quality of life and impaired functioning across multiple symptom domains.
View details for DOI 10.2147/NSS.S396641
View details for PubMedID 37551277
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Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration.
Brain : a journal of neurology
2022
Abstract
Sleep duration, sleep deprivation and the sleep-wake cycle are thought to play an important role in the generation of epileptic activity and may also influence seizure risk. Hence, people diagnosed with epilepsy are commonly asked to maintain consistent sleep routines. However, emerging evidence paints a more nuanced picture of the relationship between seizures and sleep, with bidirectional effects between changes in sleep and seizure risk in addition to modulation by sleep stages and transitions between stages. We conducted a longitudinal study investigating sleep parameters and self-reported seizure occurrence in an ambulatory at-home setting using mobile and wearable monitoring. Sixty subjects wore a Fitbit smartwatch for at least 28 days while reporting their seizure activity in a mobile app. Multiple sleep features were investigated, including duration, oversleep and undersleep, and sleep onset and offset times. Sleep features in participants with epilepsy were compared to a large (n=37921) representative population of Fitbit users, each with 28 days of data. For participants with at least 10 seizure days (n=34), sleep features were analysed for significant changes prior to seizure days. A total of 4956 reported seizures (M=83, SD=130) and 30485 recorded sleep nights (M=508, SD=445) were included in the study. There was a trend for participants with epilepsy to sleep longer than the general population, although this difference was not significant. Just 5 of 34 participants showed a significant difference in sleep duration the night before seizure days compared to seizure-free days. However, 14 of 34 subjects showed significant differences between their sleep onset (bed) and/or offset (wake) times prior to seizure occurrence. In contrast to previous studies, the current study found undersleeping was associated with a marginal 2% decrease in seizure risk in the following 48 h (p<0.01). Nocturnal seizures were associated with both significantly longer sleep durations and increased risk of a seizure occurring in the following 48 h. Overall, the presented results demonstrated that day-to-day changes in sleep duration had a minimal effect on reported seizures, while patient-specific changes in bed- and wake-times were more important for identifying seizure risk the following day. Nocturnal seizures were the only factor that significantly increased the risk of seizures in the following 48 h on a group level. Wearables can be utilised to identify these sleep-seizure relationships and guide clinical recommendations or improve seizure forecasting algorithms.
View details for DOI 10.1093/brain/awac476
View details for PubMedID 36511881
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Sleep architecture is associated with core symptom severity in autism spectrum disorder.
Sleep
2022
Abstract
OBJECTIVE: While caregiver-reported sleep disturbances are common in children and adolescents with autism spectrum disorder (ASD), few studies have measured objective sleep in ASD compared to controls, and their findings are mixed. We investigated 1) differences in sleep architecture, specifically slow-wave sleep (SWS) and rapid eye movement sleep (REM), between ASD and typically developing controls (TD); and 2) if any observed differences in sleep were associated with core ASD symptoms.METHODS: We used ambulatory polysomnography (PSG) in 53 participants with ASD (ages 6 to 18) and 66 age-matched TD in their home sleeping environment. The primary outcome measures were SWS and REM sleep. Core behavioral ASD symptoms were assessed using the Autism Diagnostic Interview-Revised (ADI-R). Spectral power bands during sleep, and additional behavioral measures, were examined in exploratory analyses.RESULTS: Compared to TD, participants with ASD exhibited a higher SWS ratio and lower REM ratio. Within the ASD group, higher SWS was associated with more severe symptoms on the Restricted, Repetitive, and Stereotyped Behaviors subscale of the ADI-R. No association was observed between REM ratio and any ASD symptom.CONCLUSIONS: Increased SWS and reduced REM sleep ratio differentiated ASD from TD. However, only increased SWS was associated with more severe core ASD symptoms. Increased SWS may reflect neuronal immaturity specific to ASD in this age group. These findings may inform the underlying mechanisms of clinical symptoms observed in children and adolescents with ASD.
View details for DOI 10.1093/sleep/zsac273
View details for PubMedID 36385326
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Proteomic Biomarkers of the Apnea Hypopnea Index and Obstructive Sleep Apnea: Insights into the Pathophysiology of Presence, Severity, and Treatment Response.
International journal of molecular sciences
2022; 23 (14)
Abstract
Obstructive sleep apnea (OSA), a disease associated with excessive sleepiness and increased cardiovascular risk, affects an estimated 1 billion people worldwide. The present study examined proteomic biomarkers indicative of presence, severity, and treatment response in OSA. Participants (n = 1391) of the Stanford Technology Analytics and Genomics in Sleep study had blood collected and completed an overnight polysomnography for scoring the apnea-hypopnea index (AHI). A highly multiplexed aptamer-based array (SomaScan) was used to quantify 5000 proteins in all plasma samples. Two separate intervention-based cohorts with sleep apnea (n = 41) provided samples pre- and post-continuous/positive airway pressure (CPAP/PAP). Multivariate analyses identified 84 proteins (47 positively, 37 negatively) associated with AHI after correction for multiple testing. Of the top 15 features from a machine learning classifier for AHI ≥ 15 vs. AHI < 15 (Area Under the Curve (AUC) = 0.74), 8 were significant markers of both AHI and OSA from multivariate analyses. Exploration of pre- and post-intervention analysis identified 5 of the 84 proteins to be significantly decreased following CPAP/PAP treatment, with pathways involving endothelial function, blood coagulation, and inflammatory response. The present study identified PAI-1, tPA, and sE-Selectin as key biomarkers and suggests that endothelial dysfunction and increased coagulopathy are important consequences of OSA, which may explain the association with cardiovascular disease and stroke.
View details for DOI 10.3390/ijms23147983
View details for PubMedID 35887329
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The Genetic Etiology of Periodic Leg Movement in Sleep.
Sleep
2022
Abstract
STUDY OBJECTIVES: Periodic Limb Movement in Sleep is a common sleep phenotype characterized by repetitive leg movements that occur during or before sleep. We conducted a Genome-Wide Association Study (GWAS) of periodic limb movements in sleep (PLMS) using a joint analysis (i.e., discovery, replication, and joint meta-analysis) of 4 cohorts (MrOS, the Wisconsin Sleep Cohort Study, HypnoLaus, and MESA), comprised of 6,843 total subjects..METHODS: The MrOS study and Wisconsin Sleep Cohort Study (N=1,745 cases) were used for discovery. Replication in the HypnoLaus and MESA cohorts (1,002 cases) preceded joint meta-analysis. We also performed LD score regression, estimated heritability, and computed genetic correlations between potentially associated traits such as restless leg syndrome (RLS) and insomnia. The causality and direction of the relationships between PLMS and RLS was evaluated using mendelian randomization.RESULTS: We found 2 independent loci were significantly associated with PLMS: rs113851554 (p = 3.51 x 10 -12, beta=0.486), a SNP located in a putative regulatory element of intron eight of MEIS1 (2p14); and rs9369062 (p = 3.06 x10 -22, beta=0.2093), a SNP located in the intron region of BTBD9 (6p12); both of which were also lead signals in RLS GWAS. PLMS is genetically correlated with insomnia, risk of stroke, and RLS, but not with iron deficiency. Pleiotropy adjusted Mendelian randomization analysis identified a causal effect of RLS on PLMS.CONCLUSIONS: Because PLMS is more common than RLS, PLMS may have multiple causes and additional studies are needed to further validate these findings.
View details for DOI 10.1093/sleep/zsac121
View details for PubMedID 35670608
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PROTEOMIC APPROACH FOR UNDERSTANDING THE MECHANISMS OF PERIODIC LIMB MOVEMENTS AND RESTLESS LEGS SYNDROME
OXFORD UNIV PRESS INC. 2022: A244
View details for Web of Science ID 000838094800550
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CHARACTERISTICS AND DISEASE BURDEN OF PATIENTS WITH IDIOPATHIC HYPERSOMNIA WITH AND WITHOUT LONG SLEEP TIME: THE REAL-WORLD IDIOPATHIC HYPERSOMNIA OUTCOMES STUDY (ARISE)
OXFORD UNIV PRESS INC. 2022: A177
View details for Web of Science ID 000838094800392
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PROTEOMIC BIOMARKERS OF OBSTRUCTIVE SLEEP APNEA
OXFORD UNIV PRESS INC. 2022: A326
View details for Web of Science ID 000838094800743
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Characterization of autonomic symptom burden in long COVID: A global survey of 2,314 adults.
Frontiers in neurology
2022; 13: 1012668
Abstract
Background: Autonomic dysfunction is a known complication of post-acute sequelae of SARS-CoV-2 (PASC)/long COVID, however prevalence and severity are unknown.Objective: To assess the frequency, severity, and risk factors of autonomic dysfunction in PASC, and to determine whether severity of acute SARS-CoV-2 infection is associated with severity of autonomic dysfunction.Design: Cross-sectional online survey of adults with PASC recruited through long COVID support groups between October 2020 and August 2021.Participants: 2,413 adults ages 18-64 years with PASC including patients who had a confirmed positive test for COVID-19 (test-confirmed) and participants who were diagnosed with COVID-19 based on clinical symptoms alone.Main measures: The main outcome measure was the Composite Autonomic Symptom 31 (COMPASS-31) total score, used to assess global autonomic dysfunction. Test-confirmed hospitalized vs. test-confirmed non-hospitalized participants were compared to determine if the severity of acute SARS-CoV-2 infection was associated with the severity autonomic dysfunction.Key results: Sixty-six percent of PASC patients had a COMPASS-31 score >20, suggestive of moderate to severe autonomic dysfunction. COMPASS-31 scores did not differ between test-confirmed hospitalized and test-confirmed non-hospitalized participants [28.95 (15.62, 46.60) vs. 26.4 (13.75, 42.10); p = 0.06].Conclusions: Evidence of moderate to severe autonomic dysfunction was seen in 66% of PASC patients in our study, independent of hospitalization status, suggesting that autonomic dysfunction is highly prevalent in the PASC population and independent of the severity of acute COVID-19 illness.
View details for DOI 10.3389/fneur.2022.1012668
View details for PubMedID 36353127
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Sleep: The price we pay for higher order cognition
ELSEVIER. 2021
View details for DOI 10.1016/j.jns.2021.117886
View details for Web of Science ID 000713637300251
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Cutaneous Alpha-Synuclein is Correlated with Autonomic Impairment in Isolated REM Sleep Behavior Disorder.
Sleep
2021
Abstract
STUDY OBJECTIVES: To define the clinical implications of cutaneous phosphorylated alpha-synuclein (p-syn) and its association with subjective and objective measures of autonomic impairment and clinical features including antidepressant use in isolated REM sleep behavior disorder (iRBD).METHODS: Twenty-five iRBD patients had quantified neurological and cognitive examinations, olfactory testing, questionnaires, autonomic function testing, and 3 punch skin biopsies (distal thigh, proximal thigh, neck). Skin biopsies were stained for the pan-axonal marker PGP 9.5 and co-stained with p-syn, and results were compared to 28 patients with Parkinson's disease (PD) and 18 healthy controls. Equal numbers of iRBD patients on and off antidepressants were recruited. The composite autonomic severity scale (CASS) was calculated for all patients.RESULTS: P-syn was detected in 16/25 (64%) of iRBD patients, compared to 27/28 (96%) of PD and 0/18 controls. The presence of p-syn at any biopsy site was correlated with both sympathetic (CASS adrenergic r = 0.6, p < 0.05) and total autonomic impairment (CASS total r = 0.6, p < 0.05) on autonomic reflex testing in iRBD patients. These results were independent of the density of p-syn at each site. There was no correlation between p-syn and antidepressant use.CONCLUSIONS: In patients with iRBD, the presence of cutaneous p-syn was detected in most patients and was associated with greater autonomic dysfunction on testing. Longitudinal follow-up will aid in defining the predictive role of both skin biopsy and autonomic testing in determining phenoconversion rates and future disease status.
View details for DOI 10.1093/sleep/zsab172
View details for PubMedID 34244806
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A school-based health and mindfulness curriculum improves children's objectively measured sleep: a prospective observational cohort study.
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
2021
Abstract
STUDY OBJECTIVES: Poor sleep impedes children's cognitive, emotional, and psychosocial development. Pediatric sleep dysregulation is common, and children who live in communities of low socioeconomic status (SES) experience additional risk factors for short sleep duration and poor sleep quality. School-based training in mindfulness and yoga-informed practices can improve children's behavior and well-being, but effects on objectively measured sleep are unknown.METHODS: Effects of a school-based health and mindfulness curriculum, which taught practices such as paced breathing, on sleep and stress were examined in 115 children (49 girls, ages eight to 11 at baseline). 58 children in a community of low socioeconomic status (SES) received the curriculum twice weekly for two years. 57 children in an SES-matched community engaged in their usual physical education class instead. In-home ambulatory polysomnography and perceived social stress were measured from all children at three timepoints: at baseline (i.e., prior to curriculum exposure) and at two yearly follow-ups.RESULTS: Children receiving the curriculum gained an average of 74 minutes of total sleep time, and 24 minutes of rapid eye movement (REM) sleep, per night over the two-year study period. Children not receiving the curriculum experienced a decrease in total sleep time averaging 64 minutes per night, with no changes in REM sleep. Sleep improved within the first three months of curriculum exposure, in a dose-dependent fashion. Higher curriculum engagement (e.g., using the breathing exercises outside of class) was associated with larger gains in total and REM sleep duration. Aggregate within-group changes in social stress were not significant. However, among children receiving the curriculum, those who experienced larger gains in total and REM sleep duration also experienced larger increases in perceived social stress.CONCLUSIONS: A school-based health and mindfulness curriculum improved children's objectively measured sleep over two years. Social stress did not mediate these effects; instead, mindfulness training may have increased awareness of environmental stressors, while developing tools to reduce stress vulnerability.
View details for DOI 10.5664/jcsm.9508
View details for PubMedID 34170222
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Genetic risk for subjective reports of insomnia associate only weakly with polygraphic measures of insomnia in 2,770 adults.
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
2021
Abstract
STUDY OBJECTIVES: Subjective insomnia complaints and objective sleep changes are mostly studied outside of clinical trial studies. In this study, we tested whether 240 genetic variants associated with subjectively reported insomnia were also associated with objective insomnia parameters extracted from polysomnographic recordings (PSG) in three studies.METHODS: The study sample (total N = 2,770) was composed of the Wisconsin Sleep Cohort (N = 1,091) and the Osteoporotic Fractures in Men (N = 1,026) study, two population-based studies, and the Stanford Sleep Cohort, a sleep center patient-based sample (N = 653). Seven objective PSG features related to insomnia defined outcome variables, with each variant allele serving as predictor. Meta-regression was performed, accounting for common confounders as well as variance differences between studies. Additionally, a normalized genetic risk score (nGRS) was generated for each subject to serve as a predictor variable in separate linear mixed models assessing objective insomnia features.RESULTS: After correction for multiple testing, single nucleotide polymorphisms (SNPs) associated with subjective insomnia were not significantly associated with 6 of 7 objective sleep measures. Only periodic limb movement index (PLMI) was significantly associated with rs113851554 (MEIS1), as found in previous studies. The nGRS was only weakly associated with arousal index and duration of wake after sleep onset.CONCLUSIONS: Our findings suggest that subjective insomnia does not have a strong genetic signature mapping onto objective (PSG) sleep variables.
View details for DOI 10.5664/jcsm.9468
View details for PubMedID 34170227
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The impact of student debt on neurological practice.
Journal of the neurological sciences
2021; 427: 117536
Abstract
The median cost of attending medical school is rising annually, and with it, student debt. Neurology residents have stepped up during the pandemic to answer the call of a health system at its breaking point. In this article, we outline how this escalating problem of student debt affects the neurology pipeline, the wellbeing and career decisions of current neurology trainees and practicing neurologists and through it, and the gap in healthcare. We describe currently available options for loan repayment and call for advocacy and legislation to address this mounting burden as a means to improve neurological care in the United States.
View details for DOI 10.1016/j.jns.2021.117536
View details for PubMedID 34139451
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Current Status and Future Strategies for Mentoring Women in Neurology.
Neurology
2021
Abstract
The American Academy of Neurology's (AAN) 2017 Gender Disparity Report identified improving mentorship as a key intervention to fill the leadership and pay gaps for women in neurology. Here we summarize the literature on mentoring women, provide an outline of ideal components of programs geared toward closing gender gaps, and present a mentoring program for AAN members. The strategies discussed share similarities with those for closing gaps related to race, ethnicity and religion. Developing effective mentorship and sponsorship programs is essential to ensure a sufficiently diverse pool of academic faculty and private practitioners, and to establish equal representation in leadership roles in this field.
View details for DOI 10.1212/WNL.0000000000012242
View details for PubMedID 34088876
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A SCHOOL-BASED HEALTH AND MINDFULNESS CURRICULUM IMPROVES CHILDREN'S OBJECTIVELY MEASURED SLEEP
OXFORD UNIV PRESS INC. 2021: A251
View details for Web of Science ID 000698984300640
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LONGER SLOW WAVE SLEEP AND EXACERBATED CORE SYMPTOM SEVERITY IN AUTISM SPECTRUM DISORDER
OXFORD UNIV PRESS INC. 2021: A239
View details for Web of Science ID 000698984300604
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Cutaneous Alpha-Synuclein is Correlated with Autonomic Impairment in Isolated REM Sleep Behavior Disorder
LIPPINCOTT WILLIAMS & WILKINS. 2021
View details for Web of Science ID 000729283605330
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EPIDEMIOLOGY-OF-1: CAUSAL INFERENCE VIA SINGLE-CASE OBSERVATIONAL DESIGN FOR SLEEP AND PHYSICAL ACTIVITY WEARABLES DATA
OXFORD UNIV PRESS INC. 2021: S190
View details for Web of Science ID 000648922700388
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Estimation of Apnea-Hypopnea Index using Deep Learning on 3D Craniofacial Scans.
IEEE journal of biomedical and health informatics
2021; PP
Abstract
Obstructive sleep apnea (OSA) is characterized by decreased breathing events that occur through the night, with severity reported as the apnea-hypopnea index (AHI), which is associated with certain craniofacial features. In this study, we used data from 1366 patients collected as part of Stanford Technology Analytics and Genomics in Sleep (STAGES) across 11 US and Canadian sleep clinics and analyzed 3D craniofacial scans with the goal of predicting AHI, as measured using gold standard nocturnal polysomnography (PSG). First, the algorithm detects pre-specified landmarks on mesh objects and aligns scans in 3D space. Subsequently, 2D images and depth maps are generated by rendering and rotating scans by 45-degree increments. Resulting images were stacked as channels and used as input to multi-view convolutional neural networks, which were trained and validated in a supervised manner to predict AHI values derived from PSGs. The proposed model achieved a mean absolute error of 11.38 events/hour, a Pearson correlation coefficient of 0.4, and accuracy for predicting OSA of 67% using 10-fold cross-validation. The model improved further by adding patient demographics and variables from questionnaires. We also show that the model performed at the level of three sleep medicine specialists, who used clinical experience to predict AHI based on 3D scan displays. Finally, we created topographic displays of the most important facial features used by the model to predict AHI, showing importance of the neck and chin area. The proposed algorithm has potential to serve as an inexpensive and efficient screening tool for individuals with suspected OSA.
View details for DOI 10.1109/JBHI.2021.3078127
View details for PubMedID 33961569
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Active and Distance Learning in Neuroscience Education.
Neuron
2020; 106 (6): 895–98
Abstract
With social distancing and uncertainty about the complete re-opening of laboratories and campuses, there is a pressing need for a more flexible educational experience. Seizing this opportunity to integrate active learning into adaptive curricula can fast-forward neuroscience education at every level.
View details for DOI 10.1016/j.neuron.2020.06.001
View details for PubMedID 32553206
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The 5-HTTLPR Long, not Short, Allele Predicts Two-year Longitudinal Increases in Cortisol and Declines in Verbal Memory in Older Adults.
International journal of geriatric psychiatry
2020
Abstract
OBJECTIVES: The short form or s-allele variant of the serotonin transporter polymorphism (5-HTTLPR), as compared with the long form or l-allele variant, has been associated with the presence of cognitive dysfunction, and particularly memory impairment in older adults. This body of cross-sectional work has culminated in the hypothesis that presence of the s-allele predicts greater memory decline in older adults (1). Yet, to date, there are no longitudinal studies which have investigated this issue.METHODS/DESIGN: Here we examine 109 community-dwelling older adults (mean and SD of age=70.7±8.7years) who underwent blood draw for genotyping, cognitive, and psychological testing at baseline, 12-month, and 24-month follow-up.RESULTS: Multilevel modeling found that s-allele carriers (ss or ls) performed worse than ll homozygotes at baseline on delayed verbal recall. Yet, s-allele carriers' memory performance was stable over the two-year follow-up period, while l-allele homozygotes experienced significant memory decline. l-allele homozygote status was associated with both increased cortisol and decreased memory over time, resulting in attenuated verbal memory performance differences compared to s-allele carriers with age.CONCLUSIONS: Overall, our findings do not support the hypothesis that presence of the 5-HTTLPR s-allele is a marker for memory decline in older adults. This article is protected by copyright. All rights reserved.
View details for DOI 10.1002/gps.5319
View details for PubMedID 32400901
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Commentary on "The Association Between Biomarkers and Neuropsychiatric Symptoms Across the Alzheimer's Disease Spectrum".
The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
2020
View details for DOI 10.1016/j.jagp.2020.04.007
View details for PubMedID 32376081
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Frequency and Severity of Autonomic Symptoms in Idiopathic Hypersomnia.
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
2020
Abstract
STUDY OBJECTIVES: We aimed to quantify the symptoms of autonomic nervous system (ANS) dysfunction in a large online cohort of patients with IH, and to determine how the severity of these symptoms interacts with sleepiness, fatigue, and quality of life.METHODS: One hundred thirty-eight IH patients and 81 age- and sex-matched controls were recruited through the website of the Hypersomnia Foundation, a U.S.-based patient advocacy group. Twenty-four confirmed IH patients were selected by the study investigators as a comparison group. All participants completed a battery of online sleep, autonomic, and quality of life questionnaires including the composite autonomic symptom score-31 (COMPASS-31).RESULTS: Online and confirmed patients reported significantly higher COMPASS-31 scores (43.6 [33.6-52.7] & 32.9 [21.7- 46.8] vs. 17.6 [11.7-27.9], p<0.001), with the greatest symptom burden in the orthostatic and vasomotor domains. Online and confirmed patients reported more sleepiness (ESS), whereas only online patients reported more fatigue (CFQ). Both the ESS and CFQ positively correlated with COMPASS-31 scores. Patients reported lower quality of life as reflected by lower scores across all domains of the RAND-36, which was negatively correlated with COMPASS-31 scores.CONCLUSIONS: Symptoms of ANS dysfunction are common in IH. In addition, ANS symptom burden was positively correlated with sleepiness and negatively correlated with quality of life.
View details for DOI 10.5664/jcsm.8344
View details for PubMedID 32039754
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Images: Facial cataplexy with demonstration of persistent eye movements.
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
2020; 16 (1): 157–59
Abstract
None: A patient was transferred for management of "medication-refractory seizures" after failure of levetiracetam and valproate dual therapy. She had a life-long history of two types of events: periods in which she would rapidly and uncontrollably lapse into unconsciousness, and spells in which she would "pass out" but maintain consciousness, the latter happening with increasing frequency in association with laughing, as of late. She also reported hypnogogic/hypnopompic hallucinations, sleep paralysis, and disrupted nocturnal sleep. A clinical diagnosis of narcolepsy was made. The prevailing pathophysiological concept of narcolepsy details "partial intrusions of REM" sleep into wakefulness. Healthy REM sleep includes generalized atonia, but with preservation of eye movements, respiratory function, and sphincter tone. Cataplexy recapitulates this pattern, and is often induced by extreme emotions, laughter in this case. Despite generalized and severe weakness and areflexia during this patient's cataplectic events, she was able to volitionally move her eyes, which is consistent with the physiology of REM sleep. The diagnosis of cataplexy is often missed, due to clinicians being unfamiliar with the findings and the lack of ability to induce sufficient emotional responses to trigger an episode. This example of cataplexy is also quite characteristic of the "cataplectic facies." The ability to observe the infrequently observed phenomenon of cataplexy serves as a reminder that consciousness is preserved, as are extra-ocular muscle movements.
View details for DOI 10.5664/jcsm.8148
View details for PubMedID 31957646
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Study Design Considerations for Sleep Disordered Breathing Devices.
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
2020
Abstract
None: In recent years, sleep disordered breathing (SDB) has been recognized as a prevalent but under-diagnosed condition in adults and has prompted the need for new and better diagnostic and therapeutic options. To facilitate the development and availability of innovative, safe and effective SDB medical device technologies for patients in the United States, the Food and Drug Administration (FDA) collaborated with six SDB-related professional societies and a consumer advocacy organization to convene a public workshop focused on clinical investigations of SDB devices. Sleep medicine experts discussed appropriate definitions of terms used in the diagnosis and treatment of SDB, the use of home sleep testing versus polysomnography, clinical trial design issues in studying SDB devices, and current and future trends in digital health technologies for diagnosis and monitoring SDB. The panel's breadth of clinical expertise and experience across medical specialties provided useful and important insights regarding clinical trial designs for SDB devices.
View details for DOI 10.5664/jcsm.8226
View details for PubMedID 31992406
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Active Learning in Psychiatry Education: Current Practices and Future Perspectives.
Frontiers in psychiatry
2020; 11: 211
Abstract
Over the past few decades, medical education has seen increased interest in the use of active learning formats to engage learners and promote knowledge application over knowledge acquisition. The field of psychiatry, in particular, has pioneered a host of novel active learning paradigms. These have contributed to our understanding of the role of andragogy along the continuum of medical education, from undergraduate to continuing medical education. In an effort to frame the successes and failures of various attempts at integrating active learning into healthcare curricula, a group of educators from the A. B. Baker Section on Neurological Education from the American Academy of Neurology reviewed the state of the field in its partner field of medical neuroscience. Herein we provide a narrative review of the literature, outlining the basis for implementing active learning, the novel formats that have been used, and the lessons learned from qualitative and quantitative analysis of the research that has been done to date. While preparation time seems to present the greatest obstacle to acceptance from learners and educators, there is generally positive reception to the new educational formats. Additionally, most assessments of trainee performance have suggested non-inferiority (if not superiority). However, occasional mixed findings point to a need for better assessments of the type of learning that these new formats engender: knowledge application rather than acquisition. Moreover, this field is relatively nascent and, in order to ascertain how best to integrate active learning into psychiatry education, a framework for quantitative outcome assessments is needed going forward.
View details for DOI 10.3389/fpsyt.2020.00211
View details for PubMedID 32390876
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High-Resolution Spectral Sleep Analysis Reveals a Novel Association Between Slow Oscillations and Memory Retention in Elderly Adults.
Frontiers in aging neuroscience
2020; 12: 540424
Abstract
Objective: In recognition of the mixed associations between traditionally scored slow wave sleep and memory, we sought to explore the relationships between slow wave sleep, electroencephalographic (EEG) power spectra during sleep and overnight verbal memory retention in older adults. Design, Setting, Participants, and Measurements: Participants were 101 adults without dementia (52% female, mean age 70.3 years). Delayed verbal memory was first tested in the evening prior to overnight polysomnography (PSG). The following morning, subjects were asked to recall as many items as possible from the same List (overnight memory retention; OMR). Partial correlation analyses examined the associations of delayed verbal memory and OMR with slow wave sleep (SWS) and two physiologic EEG slow wave activity (SWA) power spectral bands (0.5-1 Hz slow oscillations vs. 1-4 Hz delta activity). Results: In subjects displaying SWS, SWS was associated with enhanced delayed verbal memory, but not with OMR. Interestingly, among participants that did not show SWS, OMR was significantly associated with a higher slow oscillation relative power, during NREM sleep in the first ultradian cycle, with medium effect size. Conclusions: These findings suggest a complex relationship between SWS and memory and illustrate that even in the absence of scorable SWS, older adults demonstrate substantial slow wave activity. Further, these slow oscillations (0.5-1 Hz), in the first ultradian cycle, are positively associated with OMR, but only in those without SWS. Our findings raise the possibility that precise features of slow wave activity play key roles in maintaining memory function in healthy aging. Further, our results underscore that conventional methods of sleep evaluation may not be sufficiently sensitive to detect associations between SWA and memory in older adults.
View details for DOI 10.3389/fnagi.2020.540424
View details for PubMedID 33505299
View details for PubMedCentralID PMC7829345
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Author response: Incorporating sleep medicine content into medical school through neuroscience core curricula.
Neurology
2019; 93 (3): 133
View details for DOI 10.1212/WNL.0000000000007792
View details for PubMedID 31308165
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Education Research: Flipped classroom in neurology: Principles, practices, and perspectives.
Neurology
2019; 93 (1): e106–e111
Abstract
How to most effectively deliver a large amount of information in an engaging environment that encourages critical thinking is a question that has long plagued educators. With ever-increasing demands on both resident and faculty time, from shrinking duty hours to increased patient complexity, combined with the exponential growth of medical knowledge and unequal access to the spectrum of neurologic subspecialties around the country, this question has become especially pertinent to neurology residency training. A team of educators from the American Academy of Neurology's A.B. Baker Section on Neurological Education sought to review the current evidence regarding the implementation of the flipped classroom format. This educational model has only recently been applied to health care education along the training continuum, and a small collection of articles has, so far, used disparate methods of curricular implementation and assessment. While the feedback from learners is generally positive, a number of obstacles to implementation exist, most notably learner time commitments. These are presented with discussion of potential solutions along with suggestions for future studies.
View details for DOI 10.1212/WNL.0000000000007730
View details for PubMedID 31262995
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Autonomic Symptom Burden in Idiopathic Hypersomnia
LIPPINCOTT WILLIAMS & WILKINS. 2019
View details for Web of Science ID 000475965907001
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Neurological and neuroscience education: mitigating neurophobia to mentor health care providers
LIPPINCOTT WILLIAMS & WILKINS. 2019
View details for Web of Science ID 000475965901092
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ULTRADIAN CYCLE OF SLOW-WAVE ACTIVITY IN OLDER ADULTS.
OXFORD UNIV PRESS INC. 2019
View details for Web of Science ID 000471071001051
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Daylight saving time transitions are not associated with increased seizure incidence
EPILEPSIA
2019; 60 (4): 764–73
View details for DOI 10.1111/epi.14696
View details for Web of Science ID 000463267500018
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Daylight saving time transitions are not associated with increased seizure incidence.
Epilepsia
2019
Abstract
OBJECTIVE: Given the known association of daylight saving time (DST) transitions with increased risk of accidents, heart attack, and stroke, we aimed to determine whether seizures, which are reportedly influenced by sleep and circadian disruption, also increased in frequency following the transition into DST.METHODS: Using Seizure Tracker's self-reported data from 12401 individuals from 2008-2016, 932717 seizures were assessed for changes in incidence in relation to DST transitions. Two methods of standardization-z scores and unit-scaled rate ratios (RRs)-were used to compare seizure propensities following DST transitions to other time periods.RESULTS: As a percentile relative to all other weeks in a given year, absolute seizure counts in the week of DST fell below the median (DST seizure percentiles mean ± SD: 19.68±16.25, P=0.01), which was concordant with weekday-specific comparisons. Comparatively, RRs for whole-week (1.06, 95% confidence interval [CI] 1.02-1.10, P=0.0054) and weekday-to-weekday (RR range 1.04-1.16, all P<0.001) comparisons suggested a slightly higher incidence of seizures in the DST week compared to all other weeks of the year. However, examining the similar risk of the week preceding and following the DST-transition week revealed no significant weekday-to-weekday differences in seizure incidence, although there was an unexpected, modestly decreased seizure propensity in the DST week relative to the whole week prior (RR 0.94, 95% CI 0.91-0.96, P<0.001).SIGNIFICANCE: Despite expectations that circadian and sleep disruption related to DST transitions would increase the incidence of seizures, we found little substantive evidence for such an association in this large, longitudinal cohort. Although large-scale observational/epidemiologic cohorts can be effective at answering such questions, additional covariates (eg, sleep duration, seizure type, and so on) that may underpin the association were not able available, so the association has not definitively been ruled out.
View details for PubMedID 30889273
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Non-invasive machine learning estimation of effort differentiates sleep-disordered breathing pathology.
Physiological measurement
2019
Abstract
OBJECTIVE: Obstructive sleep-disordered breathing (SDB) events, unlike central events, are associated with increased respiratory effort. Esophageal pressure (Pes) monitoring is the gold standard for measuring respiratory effort, but it is typically poorly tolerated because of its invasive nature. The objective was to investigate whether machine learning can be applied to routinely collected non-invasive, polysomnography (PSG) measures to accurately model peak negative Pes. Approach: 1119 patients from the Stanford Sleep Clinic with PSGs containing Pes served as the sample. The selected non-invasive PSG signals included nasal pressure, oral airflow, thoracoabdominal effort, and snoring. A long short-term memory (LSTM) neural network was implemented to achieve a context-based mapping between the non-invasive features and the Pes values. A hold-out dataset served as a prospective validation of the algorithm without needing to undertake a costly new study with the impractically invasive Pes. Main results: The median difference between the measured and predicted Pes was 0.61 cmH2O with an interquartile range (IQR) of 2.99 cmH2O and 5th and 95th percentiles of -5.85 cmH2O and 5.47 cmH2O, respectively. The model performed well when compared to actual esophageal pressure signal (rhomedian=0.581, p=0.01; IQR = 0.298; rho5% = 0.106; rho95% = 0.843). Significance: A significant difference in predicted Pes was shown between normal breathing and all obstructive SDB events; whereas, central apneas did not significantly differ from normal breathing. The developed system may be used as a tool for quantifying respiratory effort from the existing clinical practice of PSG without the need for Pes, improving characterization of SDB events as obstructive or not. .
View details for PubMedID 30736016
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Non-invasive machine learning estimation of effort differentiates sleep-disordered breathing pathology
PHYSIOLOGICAL MEASUREMENT
2019; 40 (2)
View details for DOI 10.1088/1361-6579/ab0559
View details for Web of Science ID 000459885000004
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Strategic considerations for applying the flipped classroom to neurology education.
Annals of neurology
2019
Abstract
Nowadays, the 'flipped classroom' approach is taking the center stage within medical education. However, very few reports on the implementation of the flipped classroom in neurology have been published to date, and this educational model still represents a challenge for students and educators alike. In this manuscript, a group of neurology educators from the American Academy of Neurology's A.B. Baker Section on Neurological Education analyze reports of flipped classroom implementation in other medical/surgical subspecialties, review the current implementation of flipped classrooms in neurology, and discuss future strategies to flip the neurology curriculum through contextualization of the benefits and the consequences. This article is protected by copyright. All rights reserved.
View details for DOI 10.1002/ana.25609
View details for PubMedID 31581320
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Factors Associated with Supportive Care Service Use Among California Alzheimer's Disease Patients and Their Caregivers.
Journal of Alzheimer's disease : JAD
2019
Abstract
Existing literature on factors associated with supportive care service (SCS) use is limited. A better understanding of these factors could help tailor SCS to the needs of frequent users, as well as facilitate targeted outreach to populations that underutilize available services.To investigate the prevalence of SCS use and to identify factors associated with, and barriers to, service use.California Alzheimer's Disease Center patients with AD (n = 220) participated in the study from 2006-2009. Patients and their caregivers completed assessments to determine SCS use. Cognitive, functional, and behavioral status of the patients were also assessed. A two-part hurdle analysis identified 1) factors associated with any service use and 2) service use frequency among users.Forty percent of participants reported using at least one SCS. Patients with more impaired cognition and activities of daily living and more of the following: total number of medications, comorbid medical conditions, and years of education were more likely to use any SCS (p < 0.05). Factors associated with more frequent SCS use included younger age, more years of education, older age of AD onset, female gender, and having a spouse or relative for a caregiver (p < 0.05). Caregivers frequently indicated insufficient time as a reason for not receiving enough services.Factors associated with any SCS use mostly differed from those associated with SCS frequency, suggesting different characteristics between those who initiate versus those who continue SCS use. Our findings highlight the importance of targeted education on services and identifying barriers to long-term SCS use.
View details for DOI 10.3233/JAD-190438
View details for PubMedID 31743997
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Neurologic and neuroscience education: Mitigating neurophobia to mentor health care providers.
Neurology
2018
Abstract
Neurologic disorders are among the most frequent causes of morbidity and mortality in the United States. Moreover, the current shortfall of neurologists is expected to worsen over the coming decade. As a consequence, many patients with neurologic disorders will be treated by physicians and primary care providers without formal neurologic training. Furthermore, a pervasive and well-described fear of neurology, termed neurophobia, has been identified in medical student cohorts, residents, and among general practitioners. In this article, members of the American Academy of Neurology A.B. Baker Section on Neurological Education review current guidelines regarding neurologic and neuroscience education, contextualize the genesis and the negative consequences of neurophobia, and provide strategies to mitigate it for purposes of mentoring future generations of health care providers.
View details for DOI 10.1212/WNL.0000000000006716
View details for PubMedID 30568010
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Neurology residency training in 2017: A survey of preparation, perspectives, and plans.
Neurology
2018
Abstract
OBJECTIVE: To survey graduating US neurology residents on the topics of debt, fellowship interview process, future plans, and their readiness for practice and business management tasks.METHODS: An electronic survey was sent to all US American Academy of Neurology member adult and child neurology residents graduating in June 2017.RESULTS: The response rate was 23.4% (n = 159). Of the 143 residents who provided information about student loans, 57% reported having debt (median $180,000). Ninety percent of respondents reported plans to pursue a fellowship after residency; 57% intended to stay at their home institution for additional training. Among respondents from adult neurology programs, 87% preferred to begin the fellowship application process after the first 6 months of the third postgraduate year. Almost half (46%) of adult neurology program residents felt they did not have enough outpatient exposure prior to making fellowship decisions compared to 14% of child neurology trainees. Although reported readiness to perform specific tasks (coding and office management) increased since 2007 (p < 0.05), only 36% of all respondents reported receiving business management training during residency.CONCLUSION: Trainees completing residency report considerable educational debt. A large majority of residents feel the fellowship application process occurs too early. Despite improvements over recent years, the majority of residents continue to feel ill-prepared for specific practice management tasks. These results suggest a need to better understand the effect of educational debt on career choices, an examination of the timing of the fellowship application process, and the incorporation of additional business management training during residency.
View details for DOI 10.1212/WNL.0000000000006739
View details for PubMedID 30518554
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Periodic limb movements in sleep: Prevalence and associated sleepiness in the Wisconsin Sleep Cohort
CLINICAL NEUROPHYSIOLOGY
2018; 129 (11): 2306-2314
View details for DOI 10.1016/j.clinph.2018.08.022
View details for Web of Science ID 000447765400012
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Incorporating sleep medicine content into medical school through neuroscience core curricula
NEUROLOGY
2018; 91 (13): 597-610
View details for DOI 10.1212/WNL.0000000000006239
View details for Web of Science ID 000452496600015
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Periodic limb movements in sleep: Prevalence and associated sleepiness in the Wisconsin Sleep Cohort.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
2018; 129 (11): 2306–14
Abstract
OBJECTIVES: Periodic limb movements in sleep (PLMS) are thought to be prevalent in elderly populations, but their impact on quality of life remains unclear. We examined the prevalence of PLMS, impact of age on prevalence, and association between PLMS and sleepiness.METHODS: We identified limb movements in 2335 Wisconsin Sleep Cohort polysomnograms collected over 12 years. Prevalence of periodic limb movement index (PLMI) ≥15 was calculated at baseline (n = 1084). McNemar's test assessed changes in prevalence over time. Association of sleepiness and PLMS evaluated using linear mixed modeling and generalized estimating equations. Models adjusted for confounders.RESULTS: Prevalence of PLMI ≥15 at baseline was 25.3%. Longitudinal prevalence increased significantly with age (p = 2.97 * 10-14). Sleepiness did not differ significantly between PLMI groups unless stratified by restless legs syndrome (RLS) symptoms. The RLS+/PLM+ group was sleepier than the RLS+/PLM- group. Multiple Sleep Latency Test trended towards increased alertness in the RLS-/PLM+ group compared to RLS-/PLM-.CONCLUSIONS: A significant number of adults have PLMS and prevalence increased with age. No noteworthy association between PLMI category and sleepiness unless stratified by RLS symptoms.SIGNIFICANCE: Our results indicate that RLS and PLMS may have distinct clinical consequences and interactions that can help guide treatment approach.
View details for PubMedID 30243181
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Incorporating sleep medicine content into medical school through neuroscience core curricula.
Neurology
2018
Abstract
OBJECTIVE: To present (1) justification for earmarking sleep medicine education as an essential component of all medical school curricula and (2) various avenues to incorporate sleep medicine exposure into medical school curricula through (primarily) neuroscience and neurology courses.METHODS: Per consensus of a team of leading neurology and sleep medicine educators, an evidence-based rationale for including sleep medicine across a 4-year medical school curriculum is presented along with suggested content, available/vetted resources, and formats for delivering sleep medicine education at various points and through various formats.RESULTS: Growing evidence has linked sleep disorders (e.g., sleep-disordered breathing, chronic insufficient sleep) as risk factors for several neurologic disorders. Medical educators in neurology/neuroscience are now strongly advocating for sleep medicine education in the context of neurology/neuroscience pre and post graduate medical education. Sleep medicine education is also a critical component of a proactive strategy to address physician wellness and burnout. The suggested curriculum proposes a sleep educational exposure time of 2-4 hours per year in the form of lectures, flipped-classroom sessions, clinical opportunities, and online educational tools that would result in a 200%-400% increase in the amount of sleep medicine exposure that US medical schools currently provide. The guidelines are accompanied by the recommendation for use of technological education, to facilitate more seamless curricular incorporation.CONCLUSION: Even in this era with limited flexibility to add content to an already packed medical school curriculum, incorporating sleep medicine exposure into the current medical school curriculum is both justified and feasible.
View details for PubMedID 30185444
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Improved primary CNS hypersomnia diagnosis with statistical machine learning
LIPPINCOTT WILLIAMS & WILKINS. 2018
View details for Web of Science ID 000453090800116
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DESIGN OF A DEEP LEARNING BASED ALGORITHM FORAUTOMATIC DETECTION OF LEG MOVEMENTS DURING SLEEP
OXFORD UNIV PRESS INC. 2018: A124
View details for DOI 10.1093/sleep/zsy061.322
View details for Web of Science ID 000431183400324
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IMPROVED PRIMARY CNS HYPERSOMNIA DIAGNOSIS WITH STATISTICAL MACHINE LEARNING
OXFORD UNIV PRESS INC. 2018: A233
View details for DOI 10.1093/sleep/zsy061.626
View details for Web of Science ID 000431183400628
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Automatic, ECG-based detection of autonomic arousals and their association with cortical arousals, leg movements, and respiratory events in sleep.
Sleep
2018
Abstract
The current definition of sleep arousals neglects to address the diversity of arousals and their systemic cohesion. Autonomic arousals (AA) are autonomic activations often associated with cortical arousals (CA), but they may also occur in isolation in relation to a respiratory event, a leg movement event or spontaneously, without any other physiological associations. AA should be acknowledged as essential events to understand and explore the systemic implications of arousals.We developed an automatic AA detection algorithm based on intelligent feature selection and advanced machine learning using the electrocardiogram. The model was trained and tested with respect to CA systematically scored in 258 (181 training size/77 test size) polysomnographic recordings from the Wisconsin Sleep Cohort.A precision value of 0.72 and a sensitivity of 0.63 were achieved when evaluated with respect to CA. Further analysis indicated that 81% of the non-CA-associated AAs were associated with leg movement (38%) or respiratory (43%) events.The presented algorithm shows good performance when considering that more than 80% of the false positives (FP) found by the detection algorithm appeared in relation to either leg movement or respiratory events. This indicates that most FP constitute autonomic activations that are indistinguishable from those with cortical cohesion. The proposed algorithm provides an automatic system trained in a clinical environment, which can be utilized to analyse the systemic and clinical impacts of arousals.
View details for PubMedID 29329416
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Integrating the Divided Nasal Cannula Into Routine Polysomnography to Assess Nasal Cycle: Feasibility and Effect on Outcomes
JOURNAL OF CLINICAL SLEEP MEDICINE
2018; 14 (4): 641–50
Abstract
Patients suspected to have sleep-disordered breathing underwent an overnight polysomnography using a divided nasal cannula to gain additional information about the nasal cycle during sleep.This was a prospective, observational cohort study replacing the undivided nasal cannula with a divided nasal cannula during routine polysomnography (n = 28).Integration of the divided nasal cannula pressure transducer system into routine polysomnography was easy and affordable. Most patients (89%) demonstrated nasal cycle changes during the test. Nasal cycle changes tended to occur during body position changes (62%) and transitions from non-rapid eye movement sleep to rapid eye movement sleep (41%). The mean nasal cycle duration was 2.5 ± 2.1 hours. Other sleep study metrics did not reveal statistically significant findings in relation to the nasal cycle.Replacing an undivided nasal cannula with a divided nasal cannula is easy to implement, adding another physiologic measure to polysomnography. Although the divided nasal cannula did not significantly affect traditional polysomnographic metrics such as the apnea-hypopnea index or periodic limb movement index based on this small pilot study, we were able to replicate past nasal cycle findings that may be of interest to sleep clinicians and researchers. Given the ease with which the divided nasal cannula can be integrated, we encourage other sleep researchers to investigate the utility of using a divided nasal cannula during polysomnography.
View details for PubMedID 29609709
View details for PubMedCentralID PMC5886442
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SLEEP APNEA BREATHING DISTURBANCES ARE ASSOCIATED WITH OBJECTIVE SLEEPINESS INDEPENDENT OF HYPOXIA
OXFORD UNIV PRESS INC. 2017: A188
View details for DOI 10.1093/sleepj/zsx050.504
View details for Web of Science ID 000433175000505
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Genetic Basis of Chronotype in Humans: Insights From Three Landmark GWAS
SLEEP
2017; 40 (2)
Abstract
Chronotype, or diurnal preference, refers to behavioral manifestations of the endogenous circadian system that governs preferred timing of sleep and wake. As variations in circadian timing and system perturbations are linked to disease development, the fundamental biology of chronotype has received attention for its role in the regulation and dysregulation of sleep and related illnesses. Family studies indicate that chronotype is a heritable trait, thus directing attention toward its genetic basis. Although discoveries from molecular studies of candidate genes have shed light onto its genetic architecture, the contribution of genetic variation to chronotype has remained unclear with few related variants identified. In the advent of large-scale genome-wide association studies (GWAS), scientists now have the ability to discover novel common genetic variants associated with complex phenotypes. Three recent large-scale GWASs of chronotype were conducted on subjects of European ancestry from the 23andMe cohort and the UK Biobank. This review discusses the findings of these landmark GWASs in the context of prior research.We systematically reviewed and compared methodological and analytical approaches and results across the three GWASs of chronotype.A good deal of consistency was observed across studies with 9 genes identified in 2 of the 3 GWASs. Several genes previously unknown to influence chronotype were identified.GWAS is an important tool in identifying common variants associated with the complex chronotype phenotype, the findings of which can supplement and guide molecular science. Future directions in model systems and discovery of rare variants are discussed.
View details for DOI 10.1093/sleep/zsw048
View details for Web of Science ID 000394129900011
View details for PubMedID 28364486
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Breathing Disturbances Without Hypoxia Are Associated With Objective Sleepiness in Sleep Apnea.
Sleep
2017; 40 (11)
Abstract
To determine whether defining two subtypes of sleep-disordered breathing (SDB) events-with or without hypoxia-results in measures that are more strongly associated with hypertension and sleepiness.A total of 1022 participants with 2112 nocturnal polysomnograms from the Wisconsin Sleep Cohort were analyzed with our automated algorithm, developed to detect breathing disturbances and desaturations. Breathing events were time-locked to desaturations, resulting in two indices-desaturating (hypoxia-breathing disturbance index [H-BDI]) and nondesaturating (nonhypoxia-breathing disturbance index [NH-BDI]) events-regardless of arousals. Measures of subjective (Epworth Sleepiness Scale) and objective (2981 multiple sleep latency tests from a subset of 865 participants) sleepiness were analyzed, in addition to clinically relevant clinicodemographic variables. Hypertension was defined as BP ≥ 140/90 or antihypertensive use.H-BDI, but not NH-BDI, correlated strongly with SDB severity indices that included hypoxia (r ≥ 0.89, p ≤ .001 with 3% oxygen-desaturation index [ODI] and apnea hypopnea index with 4% desaturations). A doubling of desaturation-associated events was associated with hypertension prevalence, which was significant for ODI but not H-BDI (3% ODI OR = 1.06, 95% CI = 1.00-1.12, p < .05; H-BDI OR 1.04, 95% CI = 0.98-1.10) and daytime sleepiness (β = 0.20 Epworth Sleepiness Scale [ESS] score, p < .0001; β = -0.20 minutes in MSL on multiple sleep latency test [MSLT], p < .01). Independently, nondesaturating event doubling was associated with more objective sleepiness (β = -0.52 minutes in MSL on MSLT, p < .001), but had less association with subjective sleepiness (β = 0.12 ESS score, p = .10). In longitudinal analyses, baseline nondesaturating events were associated with worsening of H-BDI over a 4-year follow-up, suggesting evolution in severity.In SDB, nondesaturating events are independently associated with objective daytime sleepiness, beyond the effect of desaturating events.
View details for PubMedID 29029253
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SLEEP AND NEUROLOGIC DISEASE Foreword
SLEEP AND NEUROLOGIC DISEASE
2017: XI-XII
View details for Web of Science ID 000422932000001
- Manual of the Neurologic Examination for Neurologists in Training European Academy of Neurology. 2017
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Anatomy and Physiology of Normal Sleep
Sleep and Neurologic Disease
Academic Press. 2017; 1st: 1–28
View details for DOI 10.1016/B978-0-12-804074-4.00001-7
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Diagnosis and Management of Narcolepsy.
Seminars in neurology
2017; 37 (4): 446–60
View details for PubMedID 28837992
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Education Research: Neurology resident education: Trending skills, confidence, and professional preparation.
Neurology
2016; 86 (11): e112-7
Abstract
To survey US-trained graduating neurology residents who are American Academy of Neurology members, in an effort to trend perceived quality and completeness of graduate neurology education.An electronic survey was sent to all American Academy of Neurology members graduating from US neurology residency programs in the Spring of 2014.Of 805 eligible respondents, 24% completed the survey. Ninety-three percent of adult neurology residents and 56% of child neurology residents reported plans to pursue fellowship training after residency. Respondents reported a desire for additional training in neurocritical care, neuro-oncology, neuromuscular diseases, botulinum toxin injection, and nerve blocks. There remains a clear deficit in business training of neurology residents, although there was notable improvement in knowledge of coding and office management compared to previous surveys.Although there are still areas of perceived weakness in neurology training, graduating neurology residents feel generally well prepared for their chosen careers. However, most still pursue fellowship training for reasons that are little understood. In addition to certain subspecialties and procedures, practice management remains deficient in neurology training and is a point of future insecurity for most residents. Future curriculum changes should consider resident-reported gaps in knowledge, with careful consideration of improving business training.
View details for DOI 10.1212/WNL.0000000000002463
View details for PubMedID 26976522
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Voice of young neurologists around the world.
Neurology
2016; 86 (4): e40-1
View details for DOI 10.1212/WNL.0000000000002317
View details for PubMedID 26810430
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Clinical Reasoning: A 44-year-old woman with rapidly progressive weakness and ophthalmoplegia.
Neurology
2015; 85 (3): e22-7
View details for DOI 10.1212/WNL.0000000000001761
View details for PubMedID 26195241
View details for PubMedCentralID PMC4516292
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Clinical Reasoning: A 68-year-old man with a first presentation of status epilepticus
NEUROLOGY
2014; 82 (14): E116-E121
Abstract
A 64-year-old man with transfusion-dependent myelodysplastic syndrome (MDS), hypertension, chronic obstructive pulmonary disease, hypothyroidism, blindness from treated syphilitic chorioretinitis, and no prior seizure history presented in generalized status epilepticus. His daily home medication regimen included prednisone 20 mg (chronic therapy for MDS), diltiazem 120 mg, digoxin 250 μg, tiotropium 80 μg, and levothyroxine 112 μg. On admission he was febrile to 39.9 °C and in atrial fibrillation with rapid ventricular rate. Initial hematologic profile showed 11,910 leukocytes/mm(3) (12% immature forms, 46% neutrophils, 32% lymphocytes), hematocrit of 30.8%, and platelet count of 215,000/mm(3), with an otherwise normal serum chemistry.
View details for DOI 10.1212/WNL.0000000000000289
View details for Web of Science ID 000336497000002
View details for PubMedID 24711538
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International Issues: Obtaining an adult neurology residency position in the United States An overview
NEUROLOGY
2014; 82 (14): E112-E115
Abstract
Around the world, there are marked differences in neurology training, including training duration and degree of specialization. In the United States, adult neurology residency is composed of 1 year of internal medicine training (preliminary year) and 3 years of neurology-specific training. Child neurology, which is not the focus of this article, is 2 years of pediatrics and 3 years of neurology training. The route to adult neurology residency training in the United States is standardized and is similar to most other US specialties. Whereas US medical graduates often receive stepwise guidance from their medical school regarding application for residency training, international graduates often enter this complex process with little or no such assistance. Despite this discrepancy, about 10%-15% of residency positions in the United States are filled by international medical graduates.(1,2) In adult neurology specifically, 35% of matched positions were filled by international graduates in 2013, 75% of whom were not US citizens.(1) In an effort to provide a preliminary understanding of the application process and related terminology (table 1) and thereby encourage international residency applicants, we describe the steps necessary to apply for neurology residency in the United States.
View details for DOI 10.1212/WNL.0000000000000279
View details for Web of Science ID 000336497000001
View details for PubMedID 24711537
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What We Think before a Voluntary Movement
JOURNAL OF COGNITIVE NEUROSCIENCE
2013; 25 (6): 822-829
Abstract
A central feature of voluntary movement is the sense of volition, but when this sense arises in the course of movement formulation and execution is not clear. Many studies have explored how the brain might be actively preparing movement before the sense of volition; however, because the timing of the sense of volition has depended on subjective and retrospective judgments, these findings are still regarded with a degree of scepticism. EEG events such as beta event-related desynchronization and movement-related cortical potentials are associated with the brain's programming of movement. Using an optimized EEG signal derived from multiple variables, we were able to make real-time predictions of movements in advance of their occurrence with a low false-positive rate. We asked participants what they were thinking at the time of prediction: Sometimes they were thinking about movement, and other times they were not. Our results indicate that the brain can be preparing to make voluntary movements while participants are thinking about something else.
View details for DOI 10.1162/jocn_a_00360
View details for Web of Science ID 000318355000001
View details for PubMedID 23363409
View details for PubMedCentralID PMC4747632
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Intermittent theta-burst transcranial magnetic stimulation for treatment of Parkinson disease
NEUROLOGY
2011; 76 (7): 601-609
Abstract
To investigate the safety and efficacy of intermittent theta-burst stimulation (iTBS) in the treatment of motor symptoms in Parkinson disease (PD).Progression of PD is characterized by the emergence of motor deficits, which eventually respond less to dopaminergic therapy and pose a therapeutic challenge. Repetitive transcranial magnetic stimulation (rTMS) has shown promising results in improving gait, a major cause of disability, and may provide a therapeutic alternative. iTBS is a novel type of rTMS that may be more efficacious than conventional rTMS.In this randomized, double-blind, sham-controlled study, we investigated safety and efficacy of iTBS of the motor and dorsolateral prefrontal cortices in 8 sessions over 2 weeks (evidence Class I). Assessment of safety and clinical efficacy over a 1-month period included timed tests of gait and bradykinesia, Unified Parkinson's Disease Rating Scale (UPDRS), and additional clinical, neuropsychological, and neurophysiologic measures.We investigated 26 patients with mild to moderate PD: 13 received iTBS and 13 sham stimulation. We found beneficial effects of iTBS on mood, but no improvement of gait, bradykinesia, UPDRS, and other measures. EEG/EMG monitoring recorded no pathologic increase of cortical excitability or epileptic activity. Few reported discomfort or pain and one experienced tinnitus during real stimulation.iTBS of the motor and prefrontal cortices appears safe and improves mood, but failed to improve motor performance and functional status in PD.This study provides Class I evidence that iTBS was not effective for gait, upper extremity bradykinesia, or other motor symptoms in PD.
View details for Web of Science ID 000287363800006
View details for PubMedID 21321333
View details for PubMedCentralID PMC3053339
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Prediction of human voluntary movement before it occurs
CLINICAL NEUROPHYSIOLOGY
2011; 122 (2): 364-372
Abstract
Human voluntary movement is associated with two changes in electroencephalography (EEG) that can be observed as early as 1.5 s prior to movement: slow DC potentials and frequency power shifts in the alpha and beta bands. Our goal was to determine whether and when we can reliably predict human natural movement BEFORE it occurs from EEG signals ONLINE IN REAL-TIME.We developed a computational algorithm to support online prediction. Seven healthy volunteers participated in this study and performed wrist extensions at their own pace.The average online prediction time was 0.62±0.25 s before actual movement monitored by EMG signals. There were also predictions that occurred without subsequent actual movements, where subjects often reported that they were thinking about making a movement.Human voluntary movement can be predicted before movement occurs.The successful prediction of human movement intention will provide further insight into how the brain prepares for movement, as well as the potential for direct cortical control of a device which may be faster than normal physical control.
View details for DOI 10.1016/j.clinph.2010.07.010
View details for Web of Science ID 000285995400019
View details for PubMedID 20675187
View details for PubMedCentralID PMC5558611
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Controlled Study of Intermittent Theta-Burst Transcranial Magnetic Stimulation for the Treatment of Parkinson's Disease
LIPPINCOTT WILLIAMS & WILKINS. 2010: A319
View details for Web of Science ID 000275274001472
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Who Responds Best to Pharmacologic Treatment of Depressive Symptoms in Parkinson's Disease?
LIPPINCOTT WILLIAMS & WILKINS. 2010: A79
View details for Web of Science ID 000275274000308
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Depressive Symptoms in Parkinson's Disease May Not Uniformly Respond to Pharmacologic Treatment
LIPPINCOTT WILLIAMS & WILKINS. 2010: A76
View details for Web of Science ID 000275274000295