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Sawyer A, Cooke L, Ramsey NF, Putrino D. The digital motor output: a conceptual framework for a meaningful clinical performance metric for a motor neuroprosthesis. J Neurointerv Surg 2024; 16:443-446. [PMID: 37524520 DOI: 10.1136/jnis-2023-020316] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 07/18/2023] [Indexed: 08/02/2023]
Abstract
In recent years, the majority of the population has become increasingly reliant on continuous and independent control of smart devices to conduct activities of daily living. Upper extremity movement is typically required to generate the motor outputs that control these interfaces, such as rapidly and accurately navigating and clicking a mouse, or activating a touch screen. For people living with tetraplegia, these abilities are lost, significantly compromising their ability to interact with their environment. Implantable brain computer interfaces (BCIs) hold promise for restoring lost neurologic function, including motor neuroprostheses (MNPs). An implantable MNP can directly infer motor intent by detecting brain signals and transmitting the motor signal out of the brain to generate a motor output and subsequently control computer actions. This physiological function is typically performed by the motor neurons in the human body. To evaluate the use of these implanted technologies, there is a need for an objective measurement of the effectiveness of MNPs in restoring motor outputs. Here, we propose the concept of digital motor outputs (DMOs) to address this: a motor output decoded directly from a neural recording during an attempted limb or orofacial movement is transformed into a command that controls an electronic device. Digital motor outputs are diverse and can be categorized as discrete or continuous representations of motor control, and the clinical utility of the control of a single, discrete DMO has been reported in multiple studies. This sets the stage for the DMO to emerge as a quantitative measure of MNP performance.
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Affiliation(s)
- Abbey Sawyer
- Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lily Cooke
- Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nick F Ramsey
- Neurology and Neurosurgery, Utrecht University, Utrecht, Utrecht, The Netherlands
| | - David Putrino
- Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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2
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Kalagara R, Chennareddy S, Reford E, Bhimani AD, Cummins DD, Downes MH, Tosto JM, Bederson JB, Mocco J, Putrino D, Kellner CP, Panov F. Complications of Implanted Vagus Nerve Stimulation: A Systematic Review and Meta-analysis. Cerebrovasc Dis 2024:000536362. [PMID: 38471473 DOI: 10.1159/000536362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/13/2024] [Indexed: 03/14/2024] Open
Abstract
INTRODUCTION Vagus Nerve Stimulation (VNS) has emerged as a promising tool in ischemic stroke rehabilitation. However, there has been no systematic review summarizing its adverse effects, critical information for patients and providers when obtaining informed consent for this novel treatment. This systematic review and meta-analysis reports the adverse effects of VNS. METHODS A systematic review was performed in accordance with PRISMA guidelines to identify common complications after VNS therapy. The search was executed in: Cochrane Central Register of Controlled Trials, Embase, and Ovid MEDLINE. All prospective, randomized controlled trials using implanted VNS therapy in adult patients were eligible for inclusion. Case studies and studies lacking complete complication reports were excluded. Extracted data included technology name, location of implantation, follow-up duration, purpose of VNS, and adverse event rates. RESULTS After title-and-abstract screening of 4933 studies, 21 were selected for final inclusion. Across these studies, 1474 patients received VNS implantation. VNS was used as a potential therapy for epilepsy (9), depression (8), anxiety (1), ischemic stroke (1), chronic heart failure (1), and fibromyalgia (1). The 5 most common post-implant adverse events were voice alteration/hoarseness (n=671, 45.5%), paresthesia (n = 233, 15.8%), cough (n = 221, 15.0%), dyspnea (n = 211, 14.3%), and pain (n = 170, 11.5%). CONCLUSIONS Complications from VNS are mild and transient, with reduction in severity and number of adverse events with increasing follow-up time. In prior studies, VNS has served as treatment option in several instances of treatment-resistant conditions, such as epilepsy and psychiatric conditions, and its use in stroke recovery and rehabilitation should continue to be explored.
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3
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Cummins DD, Kalagara R, Downes MH, Park HJ, Tosto-Mancuso J, Putrino D, Panov FE, Kellner CP. Vagus nerve stimulation for enhanced stroke recovery after intracerebral hemorrhage: illustrative case. J Neurosurg Case Lessons 2024; 7:CASE23676. [PMID: 38467050 PMCID: PMC10936935 DOI: 10.3171/case23676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 01/18/2024] [Indexed: 03/13/2024]
Abstract
BACKGROUND Randomized controlled trial (RCT) evidence has revealed the efficacy of vagus nerve stimulation (VNS) paired with rehabilitation therapy, over therapy alone, for upper-limb functional recovery after ischemic stroke. However, this technique has not yet been described for the recovery of chronic motor deficits after hemorrhagic stroke. OBSERVATIONS Three years after left putaminal intracerebral hemorrhagic stroke with chronic upper-limb functional deficits, a patient was treated with VNS for enhanced stroke recovery. VNS was paired with 6 weeks of in-clinic physical therapy, resulting in upper-limb functional improvement of 14 points on the Fugl-Meyer Assessment Upper Extremity (FMA-UE) index for stroke recovery (maximum score of 66 equating to normal function). This improvement was more than 1 standard deviation above the improvement documented in the first successful RCT of VNS paired with therapy for ischemic stroke (5.0 ± 4.4 improvement on FMA-UE). LESSONS VNS is a promising therapy for enhanced recovery after hemorrhagic stroke and may offer greater improvement in function compared to that after ischemic stroke. Improvement in function can occur years after the time of intracerebral hemorrhage.
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Affiliation(s)
| | | | | | | | - Jenna Tosto-Mancuso
- 3Rehabilitation and Human Performance, Mount Sinai Health System, New York, New York; and
| | - David Putrino
- 3Rehabilitation and Human Performance, Mount Sinai Health System, New York, New York; and
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Silva J, Takahashi T, Wood J, Lu P, Tabachnikova A, Gehlhausen JR, Greene K, Bhattacharjee B, Monteiro VS, Lucas C, Dhodapkar RM, Tabacof L, Peña-Hernandez M, Kamath K, Mao T, Mccarthy D, Medzhitov R, van Dijk D, Krumholz HM, Guan L, Putrino D, Iwasaki A. Sex differences in symptomatology and immune profiles of Long COVID. medRxiv 2024:2024.02.29.24303568. [PMID: 38496502 PMCID: PMC10942502 DOI: 10.1101/2024.02.29.24303568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Strong sex differences in the frequencies and manifestations of Long COVID (LC) have been reported with females significantly more likely than males to present with LC after acute SARS-CoV-2 infection 1-7 . However, whether immunological traits underlying LC differ between sexes, and whether such differences explain the differential manifestations of LC symptomology is currently unknown. Here, we performed sex-based multi-dimensional immune-endocrine profiling of 165 individuals 8 with and without LC in an exploratory, cross-sectional study to identify key immunological traits underlying biological sex differences in LC. We found that female and male participants with LC experienced different sets of symptoms, and distinct patterns of organ system involvement, with female participants suffering from a higher symptom burden. Machine learning approaches identified differential sets of immune features that characterized LC in females and males. Males with LC had decreased frequencies of monocyte and DC populations, elevated NK cells, and plasma cytokines including IL-8 and TGF-β-family members. Females with LC had increased frequencies of exhausted T cells, cytokine-secreting T cells, higher antibody reactivity to latent herpes viruses including EBV, HSV-2, and CMV, and lower testosterone levels than their control female counterparts. Testosterone levels were significantly associated with lower symptom burden in LC participants over sex designation. These findings suggest distinct immunological processes of LC in females and males and illuminate the crucial role of immune-endocrine dysregulation in sex-specific pathology.
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Awad LN, Jayaraman A, Nolan KJ, Lewek MD, Bonato P, Newman M, Putrino D, Raghavan P, Pohlig RT, Harris BA, Parker DA, Taylor SR. Efficacy and safety of using auditory-motor entrainment to improve walking after stroke: a multi-site randomized controlled trial of InTandem TM. Nat Commun 2024; 15:1081. [PMID: 38332008 PMCID: PMC10853163 DOI: 10.1038/s41467-024-44791-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 01/03/2024] [Indexed: 02/10/2024] Open
Abstract
Walking slowly after stroke reduces health and quality of life. This multi-site, prospective, interventional, 2-arm randomized controlled trial (NCT04121754) evaluated the safety and efficacy of an autonomous neurorehabilitation system (InTandemTM) designed to use auditory-motor entrainment to improve post-stroke walking. 87 individuals were randomized to 5-week walking interventions with InTandem or Active Control (i.e., walking without InTandem). The primary endpoints were change in walking speed, measured by the 10-meter walk test pre-vs-post each 5-week intervention, and safety, measured as the frequency of adverse events (AEs). Clinical responder rates were also compared. The trial met its primary endpoints. InTandem was associated with a 2x larger increase in speed (Δ: 0.14 ± 0.03 m/s versus Δ: 0.06 ± 0.02 m/s, F(1,49) = 6.58, p = 0.013), 3x more responders (40% versus 13%, χ2(1) ≥ 6.47, p = 0.01), and similar safety (both groups experienced the same number of AEs). The auditory-motor intervention autonomously delivered by InTandem is safe and effective in improving walking in the chronic phase of stroke.
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Affiliation(s)
- Louis N Awad
- Dept. of Physical Therapy, Boston University, Boston, MA, USA.
- Dept. of PM&R, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA.
| | - Arun Jayaraman
- Dept. of PM&R, Northwestern University, Shirley Ryan AbilityLab, Chicago, IL, USA
| | - Karen J Nolan
- Center for Mobility and Rehabilitation Engineering, Kessler Foundation, West Orange, NJ, USA
- Dept. of PM&R, Rutgers New Jersey Medical School, Kessler Rehabilitation, Newark, NJ, USA
| | - Michael D Lewek
- Dept. of Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Division of Physical Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paolo Bonato
- Dept. of PM&R, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA
| | - Mark Newman
- Dept. of PM&R, Carolinas Rehabilitation, Charlotte, NC, USA
| | - David Putrino
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Preeti Raghavan
- Depts. of PM&R & Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ryan T Pohlig
- College of Health Sciences, University of Delaware, Newark, DE, USA
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van Rhijn-Brouwer FCCC, Hellemons M, Stingl M, Hoffmann K, VanDerNagel J, Davenport TE, Untersmayr E, Scheibenbogen C, Putrino D. Graded exercise therapy should not be recommended for patients with post-exertional malaise. Nat Rev Cardiol 2024:10.1038/s41569-024-00992-5. [PMID: 38279047 DOI: 10.1038/s41569-024-00992-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2024]
Affiliation(s)
| | - Merel Hellemons
- Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | | | - Kathryn Hoffmann
- Department of Primary Care Medicine, Medical University of Vienna, Vienna, Austria
| | - Joanne VanDerNagel
- Department of Human Media Interaction, University of Twente, Enschede, Netherlands
| | - Todd E Davenport
- Department of Physical Therapy, School of Health Sciences, University of the Pacific, Stockton, CA, USA
| | - Eva Untersmayr
- Institute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Carmen Scheibenbogen
- Institute of Medical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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7
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Weeks M, Delgado AD, Wood J, Zhang B, Pesce S, Kunces L, Lili L, Putrino D. Relationships between body composition, anthropometrics, and standard lipid panels in a normative population. Front Cardiovasc Med 2023; 10:1280179. [PMID: 38124898 PMCID: PMC10731366 DOI: 10.3389/fcvm.2023.1280179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 11/20/2023] [Indexed: 12/23/2023] Open
Abstract
Introduction More than one third of adults in the United States (US) meet the clinical criteria for a diagnosis of metabolic syndrome, but often diagnosis is challenging due to healthcare access, costs and discomfort with the process and invasiveness associated with a standard medical examination. Less invasive and more accessible approaches to collecting biometric data may have utility in identifying individuals at risk of diagnoses, such as metabolic syndrome or dyslipidemia diagnoses. Body composition is one such source of biometric data that can be non-invasively acquired in a home or community setting that may provide insight into an individual's propensity for a metabolic syndrome diagnosis. Here we investigate possible associations between body composition, anthropometrics and lipid panels in a normative population. Methods Healthy participants visited the Lab100 clinic location at a hospital setting in New York City and engaged in a wellness visit led by a nurse practitioner. Blood was analyzed at point-of-care using the Abbott Piccolo Xpress portable diagnostic analyzer (Abbott Laboratories, IL, USA) and produced direct measures of total cholesterol (TC), high density lipoprotein (HDL-C), low density lipoprotein (LDL-C), very-low density lipoprotein (VLDL-C), and triglycerides (TG). Body composition and anthropometric data were collected using two separate pieces of equipment during the same visit (Fit3D and InBody570). Regression analysis was performed to evaluate associations between all variables, after adjusting for age, sex, race, AUDIT-C total score (alcohol use), and current smoking status. Results Data from 199 participants were included in the analysis. After adjusting for variables, percentage body fat (%BF) and visceral fat levels were significantly associated with every laboratory lipid value, while waist-to-hip ratio also showed some significant associations. The strongest associations were detected between %BF and VLDL-C cholesterol levels (t = 4.53, p = 0.0001) and Triglyceride levels (t = 4.51, p = 0.0001). Discussion This initial, exploratory analysis shows early feasibility in using body composition and anthropometric data, that can easily be acquired in community settings, to identify people with dyslipidemia in a normative population.
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Affiliation(s)
- Marcus Weeks
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Andrew D. Delgado
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Jamie Wood
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Bodi Zhang
- Thorne HealthTech Inc., New York, NY, United States
| | - Sarah Pesce
- Thorne HealthTech Inc., New York, NY, United States
| | - Laura Kunces
- Thorne HealthTech Inc., New York, NY, United States
| | - Loukia Lili
- Thorne HealthTech Inc., New York, NY, United States
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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8
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Tabacof L, Wood J, Breyman E, Tosto-Mancuso J, Kelly A, Wilkey K, Zhang C, Putrino D, Kontorovich A. Dysautonomia, but Not Cardiac Dysfunction, Is Common in a Cohort of Individuals with Long COVID. J Pers Med 2023; 13:1606. [PMID: 38003921 PMCID: PMC10671897 DOI: 10.3390/jpm13111606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 11/02/2023] [Accepted: 11/04/2023] [Indexed: 11/26/2023] Open
Abstract
Despite the prevalence of dysautonomia in people with Long COVID, it is currently unknown whether Long COVID dysautonomia is routinely accompanied by structural or functional cardiac alterations. In this retrospective observational study, the presence of echocardiographic abnormalities was assessed. Left ventricular (LV) chamber sizes were correlated to diagnostic categories and symptoms via standardized patient-reported outcome (PRO) questionnaires. A total of 203 individuals with Long COVID without pre-existing cardiac disease and with available echocardiograms were included (mean age, 45 years; 67% female). Overall, symptoms and PRO scores for fatigue, breathlessness, quality of life, disability, anxiety and depression were not different between those classified with post-COVID dysautonomia (PCD, 22%) and those unclassified (78%). An LV internal diameter at an end-diastole z score < -2 was observed in 33 (16.5%) individuals, and stroke volume (SV) was lower in the PCD vs. unclassified subgroup (51.6 vs. 59.2 mL, 95% C.I. 47.1-56.1 vs. 56.2-62.3). LV end-diastolic volume (mean diff. (95% CI) -13 [-1--26] mL, p = 0.04) and SV (-10 [-1--20] mL, p = 0.03) were smaller in those individuals reporting a reduction in physical activity post-COVID-19 infection, and smaller LVMI was weakly correlated with worse fatigue (r = 0.23, p = 0.02). The majority of individuals with Long COVID report shared symptoms and did not demonstrate cardiac dysfunction on echocardiography.
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Affiliation(s)
- Laura Tabacof
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA (J.W.)
| | - Jamie Wood
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA (J.W.)
| | - Erica Breyman
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA (J.W.)
| | - Jenna Tosto-Mancuso
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA (J.W.)
| | - Amanda Kelly
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kaitlyn Wilkey
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chi Zhang
- Zena and Michael A. Weiner Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (C.Z.); (A.K.)
| | - David Putrino
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA (J.W.)
| | - Amy Kontorovich
- Zena and Michael A. Weiner Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (C.Z.); (A.K.)
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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9
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Krumholz HM, Wu Y, Sawano M, Shah R, Zhou T, Arun AS, Khosla P, Kaleem S, Vashist A, Bhattacharjee B, Ding Q, Lu Y, Caraballo C, Warner F, Huang C, Herrin J, Putrino D, Hertz D, Dressen B, Iwasaki A. Post-Vaccination Syndrome: A Descriptive Analysis of Reported Symptoms and Patient Experiences After Covid-19 Immunization. medRxiv 2023:2023.11.09.23298266. [PMID: 37986769 PMCID: PMC10659483 DOI: 10.1101/2023.11.09.23298266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Introduction A chronic post-vaccination syndrome (PVS) after covid-19 vaccination has been reported but has yet to be well characterized. Methods We included 241 individuals aged 18 and older who self-reported PVS after covid-19 vaccination and who joined the online Yale Listen to Immune, Symptom and Treatment Experiences Now (LISTEN) Study from May 2022 to July 2023. We summarized their demographics, health status, symptoms, treatments tried, and overall experience. Results The median age of participants was 46 years (interquartile range [IQR]: 38 to 56), with 192 (80%) identifying as female, 209 (87%) as non-Hispanic White, and 211 (88%) from the United States. Among these participants with PVS, 127 (55%) had received the BNT162b2 [Pfizer-BioNTech] vaccine, and 86 (37%) received the mRNA-1273 [Moderna] vaccine. The median time from the day of index vaccination to symptom onset was three days (IQR: 1 day to 8 days). The time from vaccination to symptom survey completion was 595 days (IQR: 417 to 661 days). The median Euro-QoL visual analogue scale score was 50 (IQR: 39 to 70). The five most common symptoms were exercise intolerance (71%), excessive fatigue (69%), numbness (63%), brain fog (63%), and neuropathy (63%). In the week before survey completion, participants reported feeling unease (93%), fearfulness (82%), and overwhelmed by worries (81%), as well as feelings of helplessness (80%), anxiety (76%), depression (76%), hopelessness (72%), and worthlessness (49%) at least once. Participants reported a median of 20 (IQR: 13 to 30) interventions to treat their condition. Conclusions In this study, individuals who reported PVS after covid-19 vaccination had low health status, high symptom burden, and high psychosocial stress despite trying many treatments. There is a need for continued investigation to understand and treat this condition.
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Affiliation(s)
- Harlan M. Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Center for Infection and Immunity, Yale School of Medicine, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - Yilun Wu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Mitsuaki Sawano
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Rishi Shah
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Department of Applied Mathematics, Yale College, New Haven, Connecticut
| | - Tianna Zhou
- Yale School of Medicine, New Haven, Connecticut
| | | | | | - Shayaan Kaleem
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anushree Vashist
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- The College at the University of Chicago, Chicago, Illinois
| | - Bornali Bhattacharjee
- Center for Infection and Immunity, Yale School of Medicine, New Haven, Connecticut
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut
| | - Qinglan Ding
- College of Health and Human Sciences, Purdue University, West Lafayette, Indiana
| | - Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - César Caraballo
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Frederick Warner
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Chenxi Huang
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Jeph Herrin
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - David Putrino
- Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | - Akiko Iwasaki
- Center for Infection and Immunity, Yale School of Medicine, New Haven, Connecticut
- Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut
- Howard Hughes Medical Institute, Chevy Chase, Maryland
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10
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Klein J, Wood J, Jaycox JR, Dhodapkar RM, Lu P, Gehlhausen JR, Tabachnikova A, Greene K, Tabacof L, Malik AA, Silva Monteiro V, Silva J, Kamath K, Zhang M, Dhal A, Ott IM, Valle G, Peña-Hernández M, Mao T, Bhattacharjee B, Takahashi T, Lucas C, Song E, McCarthy D, Breyman E, Tosto-Mancuso J, Dai Y, Perotti E, Akduman K, Tzeng TJ, Xu L, Geraghty AC, Monje M, Yildirim I, Shon J, Medzhitov R, Lutchmansingh D, Possick JD, Kaminski N, Omer SB, Krumholz HM, Guan L, Dela Cruz CS, van Dijk D, Ring AM, Putrino D, Iwasaki A. Distinguishing features of long COVID identified through immune profiling. Nature 2023; 623:139-148. [PMID: 37748514 PMCID: PMC10620090 DOI: 10.1038/s41586-023-06651-y] [Citation(s) in RCA: 54] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 09/18/2023] [Indexed: 09/27/2023]
Abstract
Post-acute infection syndromes may develop after acute viral disease1. Infection with SARS-CoV-2 can result in the development of a post-acute infection syndrome known as long COVID. Individuals with long COVID frequently report unremitting fatigue, post-exertional malaise, and a variety of cognitive and autonomic dysfunctions2-4. However, the biological processes that are associated with the development and persistence of these symptoms are unclear. Here 275 individuals with or without long COVID were enrolled in a cross-sectional study that included multidimensional immune phenotyping and unbiased machine learning methods to identify biological features associated with long COVID. Marked differences were noted in circulating myeloid and lymphocyte populations relative to the matched controls, as well as evidence of exaggerated humoral responses directed against SARS-CoV-2 among participants with long COVID. Furthermore, higher antibody responses directed against non-SARS-CoV-2 viral pathogens were observed among individuals with long COVID, particularly Epstein-Barr virus. Levels of soluble immune mediators and hormones varied among groups, with cortisol levels being lower among participants with long COVID. Integration of immune phenotyping data into unbiased machine learning models identified the key features that are most strongly associated with long COVID status. Collectively, these findings may help to guide future studies into the pathobiology of long COVID and help with developing relevant biomarkers.
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Affiliation(s)
- Jon Klein
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Jamie Wood
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jillian R Jaycox
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Rahul M Dhodapkar
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Department of Ophthalmology, USC Keck School of Medicine, Los Angeles, CA, USA
| | - Peiwen Lu
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Jeff R Gehlhausen
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Department of Dermatology, Yale School of Medicine, New Haven, CT, USA
| | | | - Kerrie Greene
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Laura Tabacof
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amyn A Malik
- Yale Institute for Global Health, Yale School of Public Health, New Haven, CT, USA
| | | | - Julio Silva
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | | | | | | | - Isabel M Ott
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Gabrielee Valle
- Department of Internal Medicine (Pulmonary, Critical Care and Sleep Medicine), Yale School of Medicine, New Haven, CT, USA
| | - Mario Peña-Hernández
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Department of Microbiology, Yale School of Medicine, New Haven, CT, USA
| | - Tianyang Mao
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | | | - Takehiro Takahashi
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Carolina Lucas
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - Eric Song
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Dayna McCarthy
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Erica Breyman
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jenna Tosto-Mancuso
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yile Dai
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Emily Perotti
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Koray Akduman
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Tiffany J Tzeng
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Lan Xu
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Anna C Geraghty
- Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA, USA
| | - Michelle Monje
- Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Inci Yildirim
- Yale Institute for Global Health, Yale School of Public Health, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
- Department of Pediatrics (Infectious Diseases), Yale New Haven Hospital, New Haven, CT, USA
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | | | - Ruslan Medzhitov
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Denyse Lutchmansingh
- Department of Internal Medicine (Pulmonary, Critical Care and Sleep Medicine), Yale School of Medicine, New Haven, CT, USA
| | - Jennifer D Possick
- Department of Internal Medicine (Pulmonary, Critical Care and Sleep Medicine), Yale School of Medicine, New Haven, CT, USA
| | - Naftali Kaminski
- Department of Internal Medicine (Pulmonary, Critical Care and Sleep Medicine), Yale School of Medicine, New Haven, CT, USA
| | - Saad B Omer
- Yale Institute for Global Health, Yale School of Public Health, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
- Department of Internal Medicine (Infectious Diseases), Yale School of Medicine, New Haven, CT, USA
| | - Harlan M Krumholz
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA
| | - Leying Guan
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Charles S Dela Cruz
- Department of Internal Medicine (Pulmonary, Critical Care and Sleep Medicine), Yale School of Medicine, New Haven, CT, USA
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA
| | - David van Dijk
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA.
- Department of Computer Science, Yale University, New Haven, CT, USA.
- Department of Internal Medicine (Cardiology), Yale School of Medicine, New Haven, CT, USA.
| | - Aaron M Ring
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA.
| | - David Putrino
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Akiko Iwasaki
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
- Center for Infection and Immunity, Yale School of Medicine, New Haven, CT, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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11
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D Delgado A, Salazar SI, Rozaieski K, Putrino D, Tabacof L. Engagement in an mHealth-Guided Exercise Therapy Program Is Associated With Reductions in Chronic Musculoskeletal Pain. Am J Phys Med Rehabil 2023; 102:984-989. [PMID: 37026894 DOI: 10.1097/phm.0000000000002257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Abstract
CONTEXT Chronic musculoskeletal pain costs the US $980 billion annually. Conservative treatments are the criterion standard, but scalable methods of treatment remain to be evaluated. OBJECTIVE The aim of the study is to determine the effects of pain reduction and the perceived benefits of an mHealth exercise therapy program. DESIGN This is a retrospective observational study on data from 3109 people (18-98, 49% female) with musculoskeletal pain in an mHealth exercise program. Presession pain was measured via 11-point numeric rating scale and nonstandardized single-item questions for work and quality of life; all were analyzed using mixed-effects models. RESULTS By 11 sessions, there was an estimated a 2.09-point decrease in average numeric rating scale pain levels. There was an average percent increase of approximately 0.7 points for work life and quality of life ( tdf =6,632 = 12.06, P < 0.001). User engagement was high; 46% of participants were performing more than one session per day, and 88% were engaging within a week, indicating the feasibility of the deployment of an mHealth exercise app. CONCLUSIONS An mHealth exercise program was associated with significant decrease in pain and increased perceived benefits in a large population. These findings serve as preliminary findings of the feasibility for mHealth exercise interventions as scalable tools to improve chronic musculoskeletal pain outcomes.
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Affiliation(s)
- Andrew D Delgado
- From the Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York City, New York (ADD, SIS, DP, LT); and Cape May Veterans Affairs Community Based Outpatient Clinic, Wilmington VAMC, Wilmington, Delaware (KR)
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12
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Proal AD, VanElzakker MB, Aleman S, Bach K, Boribong BP, Buggert M, Cherry S, Chertow DS, Davies HE, Dupont CL, Deeks SG, Eimer W, Ely EW, Fasano A, Freire M, Geng LN, Griffin DE, Henrich TJ, Iwasaki A, Izquierdo-Garcia D, Locci M, Mehandru S, Painter MM, Peluso MJ, Pretorius E, Price DA, Putrino D, Scheuermann RH, Tan GS, Tanzi RE, VanBrocklin HF, Yonker LM, Wherry EJ. Author Correction: SARS-CoV-2 reservoir in post-acute sequelae of COVID-19 (PASC). Nat Immunol 2023; 24:1778. [PMID: 37723351 DOI: 10.1038/s41590-023-01646-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2023]
Affiliation(s)
- Amy D Proal
- PolyBio Research Foundation, Medford, MA, USA.
| | - Michael B VanElzakker
- PolyBio Research Foundation, Medford, MA, USA
- Division of Neurotherapeutics, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Soo Aleman
- Dept of Infectious Diseases and Unit of Post-Covid Huddinge, Karolinska University Hospital, Stockholm, Sweden
| | - Katie Bach
- PolyBio Research Foundation, Medford, MA, USA
- Nonresident Senior Fellow, Brookings Institution, Washington, DC, USA
| | - Brittany P Boribong
- Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA
- Mucosal Immunology and Biology Research Center, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Marcus Buggert
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Huddinge, Sweden
| | - Sara Cherry
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, UPENN, Philadelphia, PA, USA
| | - Daniel S Chertow
- Emerging Pathogens Section, Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Helen E Davies
- Department of Respiratory Medicine, University Hospital Llandough, Cardiff University School of Medicine, University Hospital of Wales, Cardiff, UK
| | | | - Steven G Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - William Eimer
- Harvard Medical School, Boston, MA, USA
- Genetics and Aging Research Unit, Mass General Institute for Neurodegenerative Disease, Charlestown, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
| | - E Wesley Ely
- The Critical Illness, Brain Dysfunction, Survivorship (CIBS) Center at Vanderbilt University Medical Center and the Veteran's Affairs Tennessee Valley Geriatric Research Education Clinical Center (GRECC), Nashville, TN, USA
| | - Alessio Fasano
- Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA
- Mucosal Immunology and Biology Research Center, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Marcelo Freire
- J. Craig Venter Institute Department of Infectious Diseases, University of California, San Diego, La Jolla, CA, USA
| | - Linda N Geng
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Diane E Griffin
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Akiko Iwasaki
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
- Center for Infection and Immunity, Yale University School of Medicine, New Haven, CT, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - David Izquierdo-Garcia
- Department of Radiology, Harvard Medical School, Charlestown, MA, USA
- Department of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Michela Locci
- Institute for Immunology and Immune Health, and Department of Microbiology, University of Pennsylvania Perelman School Medicine, Philadelphia, PA, USA
| | - Saurabh Mehandru
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark M Painter
- Institute for Immunology and Immune Health, and Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School Medicine, Philadelphia, PA, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Etheresia Pretorius
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
| | - David A Price
- Division of Infection and Immunity, Cardiff University School of Medicine, University Hospital of Wales, Cardiff, UK
- Systems Immunity Research Institute, Cardiff University School of Medicine, University Hospital of Wales, Cardiff, UK
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Richard H Scheuermann
- Department of Informatics, J. Craig Venter Institute, La Jolla, CA, USA
- Department of Pathology, University of California, San Diego, San Diego, CA, USA
- La Jolla Institute for Immunology, San Diego, CA, USA
| | - Gene S Tan
- J. Craig Venter Institute, La Jolla, CA, USA
- Division of Infectious Diseases, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Rudolph E Tanzi
- Harvard Medical School, Boston, MA, USA
- Genetics and Aging Research Unit, Mass General Institute for Neurodegenerative Disease, Charlestown, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
| | - Henry F VanBrocklin
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Lael M Yonker
- Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA
- Mucosal Immunology and Biology Research Center, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - E John Wherry
- Institute for Immunology and Immune Health, and Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School Medicine, Philadelphia, PA, USA
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13
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Proal AD, VanElzakker MB, Aleman S, Bach K, Boribong BP, Buggert M, Cherry S, Chertow DS, Davies HE, Dupont CL, Deeks SG, Eimer W, Ely EW, Fasano A, Freire M, Geng LN, Griffin DE, Henrich TJ, Iwasaki A, Izquierdo-Garcia D, Locci M, Mehandru S, Painter MM, Peluso MJ, Pretorius E, Price DA, Putrino D, Scheuermann RH, Tan GS, Tanzi RE, VanBrocklin HF, Yonker LM, Wherry EJ. SARS-CoV-2 reservoir in post-acute sequelae of COVID-19 (PASC). Nat Immunol 2023; 24:1616-1627. [PMID: 37667052 DOI: 10.1038/s41590-023-01601-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 07/18/2023] [Indexed: 09/06/2023]
Abstract
Millions of people are suffering from Long COVID or post-acute sequelae of COVID-19 (PASC). Several biological factors have emerged as potential drivers of PASC pathology. Some individuals with PASC may not fully clear the coronavirus SARS-CoV-2 after acute infection. Instead, replicating virus and/or viral RNA-potentially capable of being translated to produce viral proteins-persist in tissue as a 'reservoir'. This reservoir could modulate host immune responses or release viral proteins into the circulation. Here we review studies that have identified SARS-CoV-2 RNA/protein or immune responses indicative of a SARS-CoV-2 reservoir in PASC samples. Mechanisms by which a SARS-CoV-2 reservoir may contribute to PASC pathology, including coagulation, microbiome and neuroimmune abnormalities, are delineated. We identify research priorities to guide the further study of a SARS-CoV-2 reservoir in PASC, with the goal that clinical trials of antivirals or other therapeutics with potential to clear a SARS-CoV-2 reservoir are accelerated.
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Affiliation(s)
- Amy D Proal
- PolyBio Research Foundation, Medford, MA, USA.
| | - Michael B VanElzakker
- PolyBio Research Foundation, Medford, MA, USA
- Division of Neurotherapeutics, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Soo Aleman
- Dept of Infectious Diseases and Unit of Post-Covid Huddinge, Karolinska University Hospital, Stockholm, Sweden
| | - Katie Bach
- PolyBio Research Foundation, Medford, MA, USA
- Nonresident Senior Fellow, Brookings Institution, Washington, DC, USA
| | - Brittany P Boribong
- Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA
- Mucosal Immunology and Biology Research Center, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Marcus Buggert
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Huddinge, Sweden
| | - Sara Cherry
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, UPENN, Philadelphia, PA, USA
| | - Daniel S Chertow
- Emerging Pathogens Section, Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Helen E Davies
- Department of Respiratory Medicine, University Hospital Llandough, Cardiff University School of Medicine, University Hospital of Wales, Cardiff, UK
| | | | - Steven G Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - William Eimer
- Harvard Medical School, Boston, MA, USA
- Genetics and Aging Research Unit, Mass General Institute for Neurodegenerative Disease, Charlestown, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
| | - E Wesley Ely
- The Critical Illness, Brain Dysfunction, Survivorship (CIBS) Center at Vanderbilt University Medical Center and the Veteran's Affairs Tennessee Valley Geriatric Research Education Clinical Center (GRECC), Nashville, TN, USA
| | - Alessio Fasano
- Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA
- Mucosal Immunology and Biology Research Center, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Marcelo Freire
- J. Craig Venter Institute Department of Infectious Diseases, University of California, San Diego, La Jolla, CA, USA
| | - Linda N Geng
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Diane E Griffin
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Akiko Iwasaki
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
- Center for Infection and Immunity, Yale University School of Medicine, New Haven, CT, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - David Izquierdo-Garcia
- Department of Radiology, Harvard Medical School, Charlestown, MA, USA
- Department of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Michela Locci
- Institute for Immunology and Immune Health, and Department of Microbiology, University of Pennsylvania Perelman School Medicine, Philadelphia, PA, USA
| | - Saurabh Mehandru
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark M Painter
- Institute for Immunology and Immune Health, and Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School Medicine, Philadelphia, PA, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Etheresia Pretorius
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch, South Africa
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
| | - David A Price
- Division of Infection and Immunity, Cardiff University School of Medicine, University Hospital of Wales, Cardiff, UK
- Systems Immunity Research Institute, Cardiff University School of Medicine, University Hospital of Wales, Cardiff, UK
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Richard H Scheuermann
- Department of Informatics, J. Craig Venter Institute, La Jolla, CA, USA
- Department of Pathology, University of California, San Diego, San Diego, CA, USA
- La Jolla Institute for Immunology, San Diego, CA, USA
| | - Gene S Tan
- J. Craig Venter Institute, La Jolla, CA, USA
- Division of Infectious Diseases, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Rudolph E Tanzi
- Harvard Medical School, Boston, MA, USA
- Genetics and Aging Research Unit, Mass General Institute for Neurodegenerative Disease, Charlestown, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
| | - Henry F VanBrocklin
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Lael M Yonker
- Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA
- Mucosal Immunology and Biology Research Center, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - E John Wherry
- Institute for Immunology and Immune Health, and Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School Medicine, Philadelphia, PA, USA
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14
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Tabacof L, Nicolau E, Rivera A, Putrino D. Post-COVID Conditions and Burden of Disease. Phys Med Rehabil Clin N Am 2023; 34:499-511. [PMID: 37419527 DOI: 10.1016/j.pmr.2023.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2023]
Abstract
Post-COVID condition (PCC), also known as long COVID, is a multi-systemic illness estimated to affect 10% to 20% of those infected, regardless of age, baseline health status, or initial symptom severity. PCC has affected millions of lives, with long-lasting debilitating effects, but unfortunately it remains an underrecognized and therefore poorly documented condition. Defining and disseminating the burden of PCC is essential for developing effective public health strategies to address this issue in the long term.
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Affiliation(s)
- Laura Tabacof
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, 5 East 98th Street SB-18, 10029, New York, NY, USA.
| | - Eric Nicolau
- West Virginia School of Osteopathic Medicine, 5718 Merrywing Circle, Austin, TX 78730, USA
| | - Andrew Rivera
- Tulane University School of Medicine, 1430 Tulane Avenue, New Orleans, LA 70130, USA
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, 5 East 98th Street SB-18, 10029, New York, NY, USA
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15
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Rozanski G, Delgado A, Putrino D. Spatiotemporal parameters from remote smartphone-based gait analysis are associated with lower extremity functional scale categories. Front Rehabil Sci 2023; 4:1189376. [PMID: 37565184 PMCID: PMC10410151 DOI: 10.3389/fresc.2023.1189376] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/12/2023] [Indexed: 08/12/2023]
Abstract
Objective Self-report tools are recommended in research and clinical practice to capture individual perceptions regarding health status; however, only modest correlations are found with performance-based results. The Lower Extremity Functional Scale (LEFS) is one well-validated measure of impairment affecting physical activities that has been compared with objective tests. More recently, mobile gait assessment software can provide comprehensive motion tracking output from ecologically valid environments, but how this data relates to subjective scales is unknown. Therefore, the association between the LEFS and walking variables remotely collected by a smartphone was explored. Methods Proprietary algorithms extracted spatiotemporal parameters detected by a standard integrated inertial measurement unit from 132 subjects enrolled in physical therapy for orthopedic or neurological rehabilitation. Users initiated ambulation recordings and completed questionnaires through the OneStep digital platform. Discrete categories were created based on LEFS score cut-offs and Analysis of Variance was applied to estimate the difference in gait metrics across functional groups (Low-Medium-High). Results The main finding of this cross-sectional retrospective study is that remotely-collected biomechanical walking data are significantly associated with individuals' self-evaluated function as defined by LEFS categorization (n = 132) and many variables differ between groups. Velocity was found to have the strongest effect size. Discussion When patients are classified according to subjective mobility level, there are significant differences in quantitative measures of ambulation analyzed with smartphone-based technology. Capturing real-time information about movement is important to obtain accurate impressions of how individuals perform in daily life while understanding the relationship between enacted activity and relevant clinical outcomes.
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Affiliation(s)
- Gabriela Rozanski
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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16
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Turner S, Khan MA, Putrino D, Woodcock A, Kell DB, Pretorius E. Long COVID: pathophysiological factors and abnormalities of coagulation. Trends Endocrinol Metab 2023; 34:321-344. [PMID: 37080828 PMCID: PMC10113134 DOI: 10.1016/j.tem.2023.03.002] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 03/10/2023] [Accepted: 03/14/2023] [Indexed: 04/22/2023]
Abstract
Acute COVID-19 infection is followed by prolonged symptoms in approximately one in ten cases: known as Long COVID. The disease affects ~65 million individuals worldwide. Many pathophysiological processes appear to underlie Long COVID, including viral factors (persistence, reactivation, and bacteriophagic action of SARS CoV-2); host factors (chronic inflammation, metabolic and endocrine dysregulation, immune dysregulation, and autoimmunity); and downstream impacts (tissue damage from the initial infection, tissue hypoxia, host dysbiosis, and autonomic nervous system dysfunction). These mechanisms culminate in the long-term persistence of the disorder characterized by a thrombotic endothelialitis, endothelial inflammation, hyperactivated platelets, and fibrinaloid microclots. These abnormalities of blood vessels and coagulation affect every organ system and represent a unifying pathway for the various symptoms of Long COVID.
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Affiliation(s)
- Simone Turner
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch, Private Bag X1, Matieland, 7602, South Africa
| | - M Asad Khan
- North West Lung Centre, Manchester University Hospitals, Manchester, M23 9LT, UK
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ashley Woodcock
- The University of Manchester, Oxford Road, Manchester, M13 9PL, UK; Manchester Academic Health Science Centre, CityLabs, Manchester, M13 9NQ, UK
| | - Douglas B Kell
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch, Private Bag X1, Matieland, 7602, South Africa; Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Crown St, Liverpool, L69 7ZB, UK; The Novo Nordisk Foundation Centre for Biosustainability, Building 220, Kemitorvet, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.
| | - Etheresia Pretorius
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Stellenbosch, Private Bag X1, Matieland, 7602, South Africa; Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Crown St, Liverpool, L69 7ZB, UK.
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17
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Downes MH, Kalagara R, Chennareddy S, Vasan V, Reford E, Schuldt BR, Odland I, Tosto-Mancuso J, Putrino D, Panov F, Kellner CP. Vagal Nerve Stimulation: A Bibliometric Analysis of Current Research Trends. Neuromodulation 2023; 26:529-537. [PMID: 35970764 DOI: 10.1016/j.neurom.2022.07.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 06/23/2022] [Accepted: 07/01/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Vagal nerve stimulation (VNS) has become established as an effective tool for the management of various neurologic disorders. Consequently, a growing number of VNS studies have been published over the past four decades. This study presents a bibliometric analysis investigating the current trends in VNS literature. MATERIALS AND METHODS Using the Web of Science collection data base, a search was performed to identify literature that discussed applications of VNS from 2000 to 2021. Analysis and visualization of the included literature were completed with VOSviewer. RESULTS A total of 2895 publications were identified. The number of articles published in this area has increased over the past two decades, with the most citations (7098) occurring in 2021 and the most publications (270) in 2020. The h-index, i-10, and i-100 were 97, 994, and 91, respectively, with 17.0 citations per publication on average. The highest-producing country and institution of VNS literature were the United States and the University of Texas, respectively. The most productive journal was Epilepsia. Epilepsy was the predominant focus of VNS research, with the keyword "epilepsy" having the greatest total link strength (749) in the keyword analysis. The keyword analysis also revealed two major avenues of VNS research: 1) the mechanisms by which VNS modulates neural circuitry, and 2) therapeutic applications of VNS in a variety of diseases beyond neurology. It also showed a significant prevalence of noninvasive VNS research. Although epilepsy research appears more linked to implanted VNS, headache and depression specialists were more closely associated with noninvasive VNS. CONCLUSION VNS may serve as a promising intervention for rehabilitation beyond neurologic applications, with an expanding base of literature over the past two decades. Although epilepsy researchers have produced most current literature, other fields have begun to explore VNS as a potential treatment, likely owing to the rise of noninvasive forms of VNS.
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Affiliation(s)
- Margaret H Downes
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Roshini Kalagara
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susmita Chennareddy
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vikram Vasan
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Emma Reford
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Braxton R Schuldt
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ian Odland
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jenna Tosto-Mancuso
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David Putrino
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Fedor Panov
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christopher P Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Schuldt BR, Kalagara R, Chennareddy S, Odland IC, Downes MH, Reford E, Vicari JM, Ali M, Bhimani AD, Putrino D, Kellner CP. Exosome-Based Therapy for Ischemic Stroke: A Bibliometric Analysis of Current Trends and Future Directions. World Neurosurg 2023; 171:e195-e205. [PMID: 36455847 DOI: 10.1016/j.wneu.2022.11.125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 11/25/2022] [Accepted: 11/27/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Stroke is a leading cause of mortality and disability worldwide. Exosomes, or small extracellular vesicles with signaling properties, have recently been identified as novel mechanisms for stroke treatment. This study aims to use bibliometric techniques to identify current research trends and future directions of exosome-based stroke therapy. METHODS The Web of Science Core Collection was searched using terms that included "exosome" and all stroke types. Bibliometric data, including authors, publication years, citations, countries/regions, institutions, journals, and Keywords Plus, were extracted directly from the Web of Science Core Collection. Keywords were mapped using VOSviewer. RESULTS From 2010 to 2021, 424 documents were identified with a total of 12,708 citations. The number of publications increased yearly from 2012 to 2021, the majority of which were research and review articles. China and the United States produced the most publications with Henry Ford Hospital and Oakland University serving as the 2 most highly published research institutions. Documents were published most frequently in the journal Stroke. Keywords Plus analyses revealed 3 main research areas: exosomes as pathogenic mediators, biomarkers, and treatments of stroke. Ischemic stroke was the most prevalent type of stroke included in these studies. CONCLUSIONS Using bibliometric techniques, this study identified a current and growing interest in the research of exosomes in stroke, particularly in their pathogenic, biomarker, and potential minimally invasive therapeutic properties. Given the high prevalence of ischemic stroke in the current literature, further characterization of exosomes in other stroke types, such as intracerebral hemorrhage, emerges as a future direction for this field of research.
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Affiliation(s)
- Braxton R Schuldt
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
| | - Roshini Kalagara
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Susmita Chennareddy
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ian C Odland
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Mount Sinai BioDesign, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Margaret H Downes
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Emma Reford
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - James M Vicari
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Muhammad Ali
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Abhiraj D Bhimani
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Christopher P Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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19
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Iwasaki A, Putrino D. Why we need a deeper understanding of the pathophysiology of long COVID. The Lancet Infectious Diseases 2023; 23:393-395. [PMID: 36967698 PMCID: PMC9928485 DOI: 10.1016/s1473-3099(23)00053-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 02/16/2023]
Affiliation(s)
- Akiko Iwasaki
- Center for Infection and Immunity, and Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA.
| | - David Putrino
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
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20
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Tosto-Mancuso J, Rozanski G, Patel N, Breyman E, Dewil S, Jumreornvong O, Putrino D, Tabacof L, Escalon M, Cortes M. Retrospective case-control study to compare exoskeleton-assisted walking with standard care in subacute non-traumatic brain injury patients. NeuroRehabilitation 2023; 53:577-584. [PMID: 38143393 DOI: 10.3233/nre-230168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2023]
Abstract
BACKGROUND Advanced technologies are increasingly used to address impaired mobility after neurological insults, with growing evidence of their benefits for various populations. However, certain robotic devices have not been extensively investigated in specific conditions, limiting knowledge about optimal application for healthcare. OBJECTIVE To compare effectiveness of conventional gait training with exoskeleton-assisted walking for non-traumatic brain injury during early stage rehabilitation. METHODS Clinical evaluation data at admission and discharge were obtained in a retrospective case-control design. Patients received standard of care physical therapy either using Ekso GT or not. Within- or between-group statistical tests were performed to determine change over time and interventional differences. RESULTS This study analyzed forty-nine individuals (33% female), 20 controls and 29 Ekso participants who were equivalent at baseline. Both groups improved in Functional Independence Measure scores and ambulation ability (p < .00001 and p < .001, respectively). Control subjects demonstrated significantly different distance walked and assistance level values at discharge from those who were treated with the exoskeleton (p < .01). CONCLUSION Robotic locomotion is non-inferior for subacute functional recovery after non-traumatic brain injury. Conventional therapy produced larger gait performance gains during hospitalization. Further research is needed to understand specific factors influencing efficacy and the long-term implications after rehabilitation.
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Affiliation(s)
- Jenna Tosto-Mancuso
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gabriela Rozanski
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nehal Patel
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Erica Breyman
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sophie Dewil
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Oranicha Jumreornvong
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David Putrino
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura Tabacof
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Miguel Escalon
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mar Cortes
- Department of Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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21
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Ren I, Rozanski G, Fernandez N, Zabala A, Ramos A, Arrinda I, Tabacof L, Putrino D. Exergaming delivery of a balance and fall prevention program for older adults: A feasibility study. Digit Health 2022; 8:20552076221144105. [PMID: 36569823 PMCID: PMC9772941 DOI: 10.1177/20552076221144105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 11/19/2022] [Indexed: 12/23/2022] Open
Abstract
Objective Older adults are at high risk of falls and this problem calls for efficient and scalable interventions. This study investigated whether a motion capture system paired with balance training exergaming software is a feasible strategy to deliver therapeutic exercise to older adults in an aged care facility. Methods This study analyzed data from a quality improvement rehabilitation initiative. Two convenience samples of older adults were included: a usual care group (n = 12), admitted to a rehabilitation hospital and receiving standard in-patient therapy 5×/week and the Evolv group (n = 12), admitted to an aged care facility, prescribed exergaming 3×/week. All participants performed 30-minute exercise sessions based on a fall prevention program over 3 months. The Short Physical Performance Battery (SPPB) and Tinetti Performance Oriented Mobility Assessment test were administered pre- and post-treatment. Results No adverse events were recorded during the interventions. Mean SPPB increase for Evolv participants was 2.25 ± 1.35 (p < .001, CI for mean = 1.39 to 3.11, d = 1.66), compared with a non-significant change in the usual care group (mean increase = 2.25 ± 3.82, p = .066, CI for mean = -0.18 to 4.68, d = 0.59). Tinetti improvement was significant for the individuals receiving usual care (3.83 ± 2.82, p = .012, CI for mean = 1.01 to 6.66, d = 0.86) but there were no significant between-group differences in outcomes. Conclusions Exergaming with the Evolv system for balance and strength training may be a feasible strategy to improve physical function for older adults recovering in an aged care facility.
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Affiliation(s)
- Ivy Ren
- Department of Rehabilitation and Human Performance, Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA,David Putrino, Department of Rehabilitation and Human Performance, Abilities Research Center, Icahn School of Medicine at Mount Sinai, 5 East 98th SB-18, New York, NY 10029, USA.
| | - Gabriela Rozanski
- Department of Rehabilitation and Human Performance, Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Naiara Fernandez
- Geriatric Department, Igurco Servicios Socio Sanitarios, IMQ Igurco, Bilbao, Spain
| | - Amaia Zabala
- Geriatric Department, Igurco Servicios Socio Sanitarios, IMQ Igurco, Bilbao, Spain
| | - Amaia Ramos
- Geriatric Department, Igurco Servicios Socio Sanitarios, IMQ Igurco, Bilbao, Spain
| | - Ismene Arrinda
- Geriatric Department, Igurco Servicios Socio Sanitarios, IMQ Igurco, Bilbao, Spain
| | - Laura Tabacof
- Department of Rehabilitation and Human Performance, Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David Putrino
- Department of Rehabilitation and Human Performance, Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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22
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Putrino D, Krakauer JW. Neurotechnology’s Prospects for Bringing About Meaningful Reductions in Neurological Impairment. Neurorehabil Neural Repair 2022:15459683221137341. [DOI: 10.1177/15459683221137341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Here we report and comment on the magnitudes of post-stroke impairment reduction currently observed using new neurotechnologies. We argue that neurotechnology’s best use case is impairment reduction as this is neither the primary strength nor main goal of conventional rehabilitation, which is better at targeting the activity and participation levels of the ICF. The neurotechnologies discussed here can be divided into those that seek to be adjuncts for enhancing conventional rehabilitation, and those that seek to introduce a novel behavioral intervention altogether. Examples of the former include invasive and non-invasive brain stimulation. Examples of the latter include robotics and some forms of serious gaming. We argue that motor learning and training-related recovery are conceptually and mechanistically distinct. Based on our survey of recent results, we conclude that large reductions in impairment will need to begin with novel forms of high dose and high intensity behavioral intervention that are qualitatively different to conventional rehabilitation. Adjunct forms of neurotechnology, if they are going to be effective, will need to piggyback on these new behavioral interventions.
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Affiliation(s)
- David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John W. Krakauer
- Departments of Neurology, Neuroscience, and Physical Medicine & Rehabilitation, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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23
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Rozanski G, Putrino D. Recording context matters: Differences in gait parameters collected by the OneStep smartphone application. Clin Biomech (Bristol, Avon) 2022; 99:105755. [PMID: 36058106 DOI: 10.1016/j.clinbiomech.2022.105755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 08/22/2022] [Accepted: 08/25/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Detailed understanding of impairments that underlie walking dysfunction through objective measures is essential to diagnosis, evaluation and care planning. Despite significant developments in motion tracking technologies, there is a dearth of research about the influence of remote monitoring context on performance. The objective of this study was to determine whether gait parameters collected by the OneStep smartphone application differ based on the recording condition. METHODS Retrospective repeated measures univariate analysis was performed on data extracted based on detected activity, either spontaneous (background recording) or consciously initiated (in app) walks, of 25 patients enrolled in a physical therapy program. FINDINGS Across 7227 walking bouts, significant differences between the two paradigms in velocity (g = 0.48), double support (g = 0.37), stride length (g = 0.37) and step length of the affected side (g = 0.32) were revealed. Overall, the passively recorded walks presented a less clinically favorable spatiotemporal pattern for each of these variables. INTERPRETATION The recording context of walks that were used for analysis appears to significantly affect the biomechanical output of the OneStep application. It is unclear whether the disparity found would impact functional recovery of individuals undergoing rehabilitation due to neurological or musculoskeletal disorder. Clinicians may consider this information when incorporating remotely-acquired quantitative gait analysis and interpreting care outcomes as part of therapeutic practice. Future work can further investigate the behavioral and environmental factors contributing to how movement occurs in specific clinical populations when monitored via mobile health systems.
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Affiliation(s)
- Gabriela Rozanski
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - David Putrino
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
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24
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Blitshteyn S, Whiteson J, Abramoff B, Azola A, Bartels MN, Bhavaraju-Sanka R, Chung T, Fleming TK, Henning E, Miglis MG, Sampsel S, Silver JK, Tosto J, Verduzco-Gutierrez M, Putrino D. Multi-Disciplinary Collaborative Consensus Guidance Statement on the Assessment and Treatment of Autonomic Dysfunction in Patients with Post-Acute Sequelae of SARS-CoV-2 Infection (PASC). PM R 2022; 14:1270-1291. [PMID: 36169154 PMCID: PMC9538426 DOI: 10.1002/pmrj.12894] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 08/18/2022] [Accepted: 08/23/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Svetlana Blitshteyn
- Department of Neurology, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY
| | - Jonathan Whiteson
- Department of Rehabilitation Medicine and Department of Medicine, Rusk Rehabilitation, NYU Langone Health, New York, NY
| | - Benjamin Abramoff
- Department of Physical Medicine and Rehabilitation, University of Pennsylvania- Perelman School of Medicine; Director of Spinal Cord Injury Services; Director of the Post-COVID Assessment and Recovery Clinic, Philadelphia, PA
| | - Alba Azola
- Department of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD
| | - Matthew N Bartels
- Department of Rehabilitation Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, New York
| | - Ratna Bhavaraju-Sanka
- Department of Neurology, University of Texas Health San Antonio Joe R. & Teresa Lozano-Long School of Medicine San Antonio, TX
| | - Tae Chung
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine
| | - Talya K Fleming
- JFK Johnson Rehabilitation Institute at Hackensack Meridian Health, Edison, NJ
| | - Ellen Henning
- Department of Behavioral Psychology, Kennedy Krieger Institute, Baltimore, MD
| | - Mitchell G Miglis
- Department of Neurology and Neurological Sciences Stanford University School of Medicine
| | | | - Julie K Silver
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA
| | - Jenna Tosto
- Department of Rehabilitation and Human Performance, Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY
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25
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Tuller D, Blitshteyn S, Davies-Payne D, Delaney B, Edwards J, Hornig M, Hughes B, Putrino D, Swartzberg J. 'Psychogenic' POTS: the NYU team misinterprets association as causation. Brain 2022; 145:e111-e112. [PMID: 36151957 DOI: 10.1093/brain/awac348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 09/12/2022] [Indexed: 11/14/2022] Open
Affiliation(s)
- David Tuller
- Center for Global Public Health, School of Public Health, University of California, Berkeley; Berkeley, CA, USA
| | - Svetlana Blitshteyn
- Dysautonomia Clinic, Department of Neurology, University of Buffalo Jacobs School of Medical Sciences; Buffalo, New York, USA
| | - David Davies-Payne
- Department of Radiology, Starship Children's Hospital; Auckland, New Zealand
| | - Brendan Delaney
- Department of Medical Informatics and Decision Making, Imperial College London; London, England, UK
| | - Jonathan Edwards
- Department of Medicine, University College London; London, England, UK
| | - Mady Hornig
- Department of Epidemiology, Columbia University Mailman School of Public Health; New York, NY, USA
| | - Brian Hughes
- School of Psychology, National University of Ireland, Galway; Galway, Ireland
| | - David Putrino
- Department of Rehabilitation Medicine, Icahn School of Medicine, Mt Sinai; New York, NY, USA
| | - John Swartzberg
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley; Berkeley, CA, USA
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Klein J, Wood J, Jaycox J, Lu P, Dhodapkar RM, Gehlhausen JR, Tabachnikova A, Tabacof L, Malik AA, Kamath K, Greene K, Monteiro VS, Peña-Hernandez M, Mao T, Bhattacharjee B, Takahashi T, Lucas C, Silva J, Mccarthy D, Breyman E, Tosto-Mancuso J, Dai Y, Perotti E, Akduman K, Tzeng TJ, Xu L, Yildirim I, Krumholz HM, Shon J, Medzhitov R, Omer SB, van Dijk D, Ring AM, Putrino D, Iwasaki A. Distinguishing features of Long COVID identified through immune profiling. medRxiv 2022:2022.08.09.22278592. [PMID: 35982667 PMCID: PMC9387160 DOI: 10.1101/2022.08.09.22278592] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
SARS-CoV-2 infection can result in the development of a constellation of persistent sequelae following acute disease called post-acute sequelae of COVID-19 (PASC) or Long COVID 1-3 . Individuals diagnosed with Long COVID frequently report unremitting fatigue, post-exertional malaise, and a variety of cognitive and autonomic dysfunctions 1-3 ; however, the basic biological mechanisms responsible for these debilitating symptoms are unclear. Here, 215 individuals were included in an exploratory, cross-sectional study to perform multi-dimensional immune phenotyping in conjunction with machine learning methods to identify key immunological features distinguishing Long COVID. Marked differences were noted in specific circulating myeloid and lymphocyte populations relative to matched control groups, as well as evidence of elevated humoral responses directed against SARS-CoV-2 among participants with Long COVID. Further, unexpected increases were observed in antibody responses directed against non-SARS-CoV-2 viral pathogens, particularly Epstein-Barr virus. Analysis of circulating immune mediators and various hormones also revealed pronounced differences, with levels of cortisol being uniformly lower among participants with Long COVID relative to matched control groups. Integration of immune phenotyping data into unbiased machine learning models identified significant distinguishing features critical in accurate classification of Long COVID, with decreased levels of cortisol being the most significant individual predictor. These findings will help guide additional studies into the pathobiology of Long COVID and may aid in the future development of objective biomarkers for Long COVID.
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27
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Tosto-Mancuso JM, Putrino D, Wood J, Tabacof L, Breyman E, Nasr L, Mohammadi N, Dangayach NS, Kellner CP. Remote Patient Monitoring of Blood Pressure Is Feasible Poststroke and Can Facilitate Triage of Care. Telemed Rep 2022; 3:149-155. [PMID: 36127950 PMCID: PMC9483838 DOI: 10.1089/tmr.2022.0004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 04/13/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND PURPOSE Strict blood pressure (BP) control is a universally accepted therapeutic intervention in the prevention of secondary stroke, yet this remains difficult when patients return home postinjury. This study aimed to investigate the application of the remote patient monitoring (RPM) of BP in patients after stroke, or who were at immediate risk of stroke, and the subsequent outcomes relating to triage and escalation of care. METHODS This was a single-center proof-of-concept study. Participants were patients aged 18 years and older with a diagnosis of stroke or who were at immediate risk of stroke. Patients were enrolled into the precision recovery program (PRP) and asked to assess their BP and heart rate daily and enter values into a MyCap application for the RPM program. These data were reviewed daily by an assigned PRP clinician, and weekly Zoom meetings were held with the patient. Care was triaged and escalated to a physician as indicated. RESULTS Twelve patients (5 [42%] female, aged mean [range] 63 [43-84] years) met the inclusion criteria and continued in the program for median (range) 136 (8-227) days. The median (range) number of excursions of BP above limits per participant was 19 (0-79) for systolic and 36 (0-104) for diastolic. A total of 16 triage events (median [range] 1 [0-3]) were initiated for escalation of care. CONCLUSIONS This study demonstrated that RPM is feasible in patients poststroke or at immediate risk of stroke, and facilitates the triage of care when BP is elevated above recommended limits.
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Affiliation(s)
- Jenna M. Tosto-Mancuso
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - David Putrino
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jamie Wood
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Laura Tabacof
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Erica Breyman
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Leila Nasr
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nicki Mohammadi
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Neha S. Dangayach
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Christopher P. Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Fernández-Castañeda A, Lu P, Geraghty AC, Song E, Lee MH, Wood J, O'Dea MR, Dutton S, Shamardani K, Nwangwu K, Mancusi R, Yalçın B, Taylor KR, Acosta-Alvarez L, Malacon K, Keough MB, Ni L, Woo PJ, Contreras-Esquivel D, Toland AMS, Gehlhausen JR, Klein J, Takahashi T, Silva J, Israelow B, Lucas C, Mao T, Peña-Hernández MA, Tabachnikova A, Homer RJ, Tabacof L, Tosto-Mancuso J, Breyman E, Kontorovich A, McCarthy D, Quezado M, Vogel H, Hefti MM, Perl DP, Liddelow S, Folkerth R, Putrino D, Nath A, Iwasaki A, Monje M. Mild respiratory COVID can cause multi-lineage neural cell and myelin dysregulation. Cell 2022; 185:2452-2468.e16. [PMID: 35768006 PMCID: PMC9189143 DOI: 10.1016/j.cell.2022.06.008] [Citation(s) in RCA: 184] [Impact Index Per Article: 92.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 05/04/2022] [Accepted: 06/07/2022] [Indexed: 12/13/2022]
Abstract
COVID survivors frequently experience lingering neurological symptoms that resemble cancer-therapy-related cognitive impairment, a syndrome for which white matter microglial reactivity and consequent neural dysregulation is central. Here, we explored the neurobiological effects of respiratory SARS-CoV-2 infection and found white-matter-selective microglial reactivity in mice and humans. Following mild respiratory COVID in mice, persistently impaired hippocampal neurogenesis, decreased oligodendrocytes, and myelin loss were evident together with elevated CSF cytokines/chemokines including CCL11. Systemic CCL11 administration specifically caused hippocampal microglial reactivity and impaired neurogenesis. Concordantly, humans with lasting cognitive symptoms post-COVID exhibit elevated CCL11 levels. Compared with SARS-CoV-2, mild respiratory influenza in mice caused similar patterns of white-matter-selective microglial reactivity, oligodendrocyte loss, impaired neurogenesis, and elevated CCL11 at early time points, but after influenza, only elevated CCL11 and hippocampal pathology persisted. These findings illustrate similar neuropathophysiology after cancer therapy and respiratory SARS-CoV-2 infection which may contribute to cognitive impairment following even mild COVID.
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Affiliation(s)
| | - Peiwen Lu
- Department of Immunobiology, Yale University, New Haven, CT, USA
| | - Anna C Geraghty
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Eric Song
- Department of Immunobiology, Yale University, New Haven, CT, USA
| | - Myoung-Hwa Lee
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Jamie Wood
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY, USA
| | - Michael R O'Dea
- Neuroscience Institute, NYU Grossman School of Medicine, New York, NY, USA
| | - Selena Dutton
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Kiarash Shamardani
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Kamsi Nwangwu
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Rebecca Mancusi
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Belgin Yalçın
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Kathryn R Taylor
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lehi Acosta-Alvarez
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Karen Malacon
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Michael B Keough
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lijun Ni
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Pamelyn J Woo
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | | | | | | | - Jon Klein
- Department of Immunobiology, Yale University, New Haven, CT, USA
| | | | - Julio Silva
- Department of Immunobiology, Yale University, New Haven, CT, USA
| | | | - Carolina Lucas
- Department of Immunobiology, Yale University, New Haven, CT, USA
| | - Tianyang Mao
- Department of Immunobiology, Yale University, New Haven, CT, USA
| | | | | | - Robert J Homer
- Department of Pathology, Yale University, New Haven, CT, USA
| | - Laura Tabacof
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY, USA
| | - Jenna Tosto-Mancuso
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY, USA
| | - Erica Breyman
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY, USA
| | - Amy Kontorovich
- Cardiovascular Research Institute, Mount Sinai School of Medicine, New York, NY, USA
| | - Dayna McCarthy
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY, USA
| | | | - Hannes Vogel
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Marco M Hefti
- Department of Pathology, University of Iowa, Iowa City, IA, USA
| | - Daniel P Perl
- Department of Pathology, Uniformed Services University of Health Sciences, Bethesda, MD, USA
| | - Shane Liddelow
- Neuroscience Institute, NYU Grossman School of Medicine, New York, NY, USA; Departments of Neuroscience & Physiology and of Ophthalmology, NYU Grossman School of Medicine, New York, NY, USA; Parekh Center for Interdisciplinary Neurology, NYU Grossman School of Medicine, New York, NY, USA
| | | | - David Putrino
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY, USA
| | - Avindra Nath
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Akiko Iwasaki
- Department of Immunobiology, Yale University, New Haven, CT, USA; Howard Hughes Medical Institute, Yale University, New Haven, CT, USA.
| | - Michelle Monje
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA; Department of Pathology, Stanford University, Stanford, CA, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
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Whiteson JH, Azola A, Barry JT, Bartels MN, Blitshteyn S, Fleming TK, McCauley MD, Neal JD, Pillarisetti J, Sampsel S, Silver JK, Terzic CM, Tosto J, Verduzco‐Gutierrez M, Putrino D. Multi-disciplinary collaborative consensus guidance statement on the assessment and treatment of cardiovascular complications in patients with post-acute sequelae of SARS-CoV-2 infection (PASC). PM R 2022; 14:855-878. [PMID: 35657351 PMCID: PMC9347705 DOI: 10.1002/pmrj.12859] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/27/2022] [Accepted: 06/01/2022] [Indexed: 11/25/2022]
Affiliation(s)
- Jonathan H. Whiteson
- Department of Rehabilitation Medicine and Department of MedicineRusk Rehabilitation, NYU Langone HealthNew YorkNew YorkUSA
| | - Alba Azola
- Department of Physical Medicine and RehabilitationJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - John T. Barry
- Good Shepherd Penn Partners, Penn Therapy & Fitness—University CityPhiladelphiaPennsylvaniaUSA
| | - Matthew N. Bartels
- Department of Rehabilitation Medicine, Montefiore Health SystemAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Svetlana Blitshteyn
- Department of NeurologyUniversity at Buffalo Jacobs School of Medicine and Biomedical SciencesBuffaloNew YorkUSA
| | - Talya K. Fleming
- Department of Physcial Medicine and RehabilitationJFK Johnson Rehabilitation Institute at Hackensack Meridian HealthEdisonNew JerseyUSA
| | - Mark D. McCauley
- Department of Medicine, Section of CardiologyUniversity of Illinois at Chicago and Jesse Brown VA Medical CenterChicagoIllinoisUSA
| | - Jacqueline D. Neal
- Physical Medicine and RehabilitationNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA,Physical Medicine and RehabilitationPhysical Medicine and Rehabilitation, Jesse Brown VA Medical CenterChicagoIllinoisUSA
| | - Jayasree Pillarisetti
- Division of Cardiology, Department of MedicineUniversity of Texas Health San AntonioSan AntonioTexasUSA
| | | | - Julie K. Silver
- Department of Physical Medicine and RehabilitationHarvard Medical School, Spaulding Rehabilitation HospitalBostonMassachusettsUSA
| | - Carmen M. Terzic
- Department of Physical Medicine and Rehabilitation and Department of Cardiovascular MedicineMayo ClinicRochesterMinnesotaUSA
| | - Jenna Tosto
- Department of Rehabilitation and Human Performance, Abilities Research CenterIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | | | - David Putrino
- Department of Rehabilitation and Human PerformanceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
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Showstark M, Bahadursingh R, Zhang S, Fry A, Kozminski B, Lundstam P, Putrino D. Comparison of Hemodynamic Brain Responses Between Big Wave Surfers and Non-big Wave Surfers During Affective Image Presentation. Front Psychol 2022; 13:800275. [PMID: 35783705 PMCID: PMC9245544 DOI: 10.3389/fpsyg.2022.800275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 05/24/2022] [Indexed: 11/17/2022] Open
Abstract
Background Big wave surfers are extreme sports athletes who expose themselves to life-threatening risk when training and competing. Little is known about how and why extreme sports athletes choose to participate in their chosen sports. This exploratory study investigated potential neurophysiological and psychometric differences between big and non-big wave surfers. Methods Thirteen big wave surfers (BWS) and 10 non-big wave surfers (CON) viewed a series of images from the International Affective Picture System (IAPS) while undergoing brain functional magnetic resonance imaging (fMRI). The Fear Schedule Survey-III, Arnett Inventory of Sensation Seeking, Discrete Emotions Questionnaire, and Positive and Negative Affect Schedule were also completed. Results The BWS group demonstrated higher blood-oxygen level-dependent (BOLD) signal change in the insula, visual cortex, and periaqueductal gray, whereas the CON group displayed increased hypothalamus activation in response to high amplitude negative-valence (HAN) image presentation. Psychophysiological interaction (PPI) analyses found CON showed significant interactions between frontal and temporal cortical regions as well as between the hypothalamus and the insula, frontal, and temporal cortices during HAN image presentation that were not seen in BWS. No differences between groups were found in their responses to the questionnaires. Conclusion Our findings demonstrate significant differences in brain activation between BWS and CON in response to the presentation of HAN IAPS images, despite no significant differences in scores on psychometric questionnaires.
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Affiliation(s)
- Mary Showstark
- Yale School of Medicine Physician Assistant Online Program, New Haven, CT, United States
| | | | - Sheng Zhang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Adam Fry
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Barbara Kozminski
- Department of Physical Medicine and Rehabilitation, University of Washington, Seattle, WA, United States
| | - Per Lundstam
- Red Bull North America, Santa Monica, CA, United States
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- *Correspondence: David Putrino,
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Laby DM, Appelbaum LG, Hülsdünker T, Putrino D. Editorial: Neural Mechanisms of Perceptual-Cognitive Expertise in Elite Performers. Front Hum Neurosci 2022; 16:923816. [PMID: 35652008 PMCID: PMC9149591 DOI: 10.3389/fnhum.2022.923816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 04/28/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Daniel M. Laby
- ChampionsEdge, LLC, New York, NY, United States
- *Correspondence: Daniel M. Laby
| | | | - Thorben Hülsdünker
- Department of Exercise and Sport Science, Lunex University, Differdange, Luxembourg
- Luxembourg Health and Sport Science Research Institute (LHSSRI), Differdange, Luxembourg
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Fry A, Chan HW, Harel N, Spielman L, Escalon M, Putrino D. Evaluating the clinical benefit of brain-computer interfaces for control of a personal computer. J Neural Eng 2022; 19. [PMID: 35325875 DOI: 10.1088/1741-2552/ac60ca] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 03/24/2022] [Indexed: 11/11/2022]
Abstract
Brain-computer interfaces (BCIs) enabling the control of a personal computer could provide myriad benefits to individuals with disabilities including paralysis. However, to realize this potential, these BCIs must gain regulatory approval and be made clinically available beyond research participation. Therefore, a transition from engineering-oriented to clinically oriented outcome measures will be required in the evaluation of BCIs. This review examined how to assess the clinical benefit of BCIs for the control of a personal computer. We report that: 1) a variety of different patient-reported outcome measures can be used to evaluate improvements in how a patient feels, and we offer some considerations that should guide instrument selection. 2) Activities of daily living can be assessed to demonstrate improvements in how a patient functions, however, new instruments that are sensitive to increases in functional independence via the ability to perform digital tasks may be needed. 3) Benefits to how a patient survives has not previously been evaluated, but establishing patient-initiated communication channels using BCIs might facilitate quantifiable improvements in health outcomes.
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Affiliation(s)
- Adam Fry
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, New York, New York, 10029, UNITED STATES
| | - Ho Wing Chan
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, New York, New York, 10029, UNITED STATES
| | - Noam Harel
- James J Peters VA Medical Center, 130 W Kingsbridge Rd, New York, New York, 10468, UNITED STATES
| | - Lisa Spielman
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, New York, New York, 10029, UNITED STATES
| | - Miguel Escalon
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, New York, New York, 10029, UNITED STATES
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, New York, New York, 10029, UNITED STATES
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33
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Hannah TC, Turner D, Kellner R, Bederson J, Putrino D, Kellner CP. Neuromonitoring Correlates of Expertise Level in Surgical Performers: A Systematic Review. Front Hum Neurosci 2022; 16:705238. [PMID: 35250509 PMCID: PMC8888846 DOI: 10.3389/fnhum.2022.705238] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 01/25/2022] [Indexed: 12/02/2022] Open
Abstract
Surgical expertise does not have a clear definition and is often culturally associated with power, authority, prestige, and case number rather than more objective proxies of excellence. Multiple models of expertise progression have been proposed including the Dreyfus model, however, they all currently require subjective evaluation of skill. Recently, efforts have been made to improve the ways in which surgical excellence is measured and expertise is defined using artificial intelligence, video recordings, and accelerometers. However, these aforementioned methods of assessment are still subjective or indirect proxies of expertise, thus uncovering the neural mechanisms that differentiate expert surgeons from trainees may enhance the objectivity of surgical expertise validation. In fact, some researchers have already suggested that their neural imaging-based expertise classification methods outperform currently used methods of surgical skill certification such as the Fundamentals of Laparoscopic Surgery (FLS) scores. Such imaging biomarkers would not only help better identify the highest performing surgeons, but could also improve residency programs by providing more objective, evidence-based feedback and developmental milestones for those in training and perhaps act as a marker of surgical potential in medical students. Despite the potential advantages of using neural imaging in the assessment of surgical expertise, this field of research remains in its infancy. This systematic review identifies studies that have applied neuromonitoring in assessing surgical skill across levels of expertise. The goals of this review are to identify (1) the strongest neural indicators of surgical expertise, (2) the limitations of the current literature on this subject, (3) the most sensible future directions for further study. We found substantial evidence that surgical expertise can be delineated by differential activation and connectivity in the prefrontal cortex (PFC) across multiple task and neuroimaging modalities. Specifically, novices tend to have greater PFC activation than experts under standard conditions in bimanual and decision-making tasks. However, under high temporal demand tasks, experts had increased PFC activation whereas novices had decreased PFC activation. Common limitations uncovered in this review were that task difficulty was often insufficient to delineate between residents and attending. Moreover, attending level involvement was also low in multiple studies which may also have contributed to this issue. Most studies did not analyze the ability of their neuromonitoring findings to accurately classify subjects by level of expertise. Finally, the predominance of fNIRS as the neuromonitoring modality limits our ability to uncover the neural correlates of surgical expertise in non-cortical brain regions. Future studies should first strive to address these limitations. In the longer term, longitudinal within-subjects design over the course of a residency or even a career will also advance the field. Although logistically arduous, such studies would likely be most beneficial in demonstrating effects of increasing surgical expertise on regional brain activation and inter-region connectivity.
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Affiliation(s)
- Theodore C. Hannah
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States
- *Correspondence: Theodore C. Hannah,
| | | | - Rebecca Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Joshua Bederson
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - David Putrino
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Christopher P. Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Fernández-Castañeda A, Lu P, Geraghty AC, Song E, Lee MH, Wood J, Yalçın B, Taylor KR, Dutton S, Acosta-Alvarez L, Ni L, Contreras-Esquivel D, Gehlhausen JR, Klein J, Lucas C, Mao T, Silva J, Peña-Hernández MA, Tabachnikova A, Takahashi T, Tabacof L, Tosto-Mancuso J, Breyman E, Kontorovich A, McCarthy D, Quezado M, Hefti M, Perl D, Folkerth R, Putrino D, Nath A, Iwasaki A, Monje M. Mild respiratory SARS-CoV-2 infection can cause multi-lineage cellular dysregulation and myelin loss in the brain. bioRxiv 2022:2022.01.07.475453. [PMID: 35043113 PMCID: PMC8764721 DOI: 10.1101/2022.01.07.475453] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Survivors of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection frequently experience lingering neurological symptoms, including impairment in attention, concentration, speed of information processing and memory. This long-COVID cognitive syndrome shares many features with the syndrome of cancer therapy-related cognitive impairment (CRCI). Neuroinflammation, particularly microglial reactivity and consequent dysregulation of hippocampal neurogenesis and oligodendrocyte lineage cells, is central to CRCI. We hypothesized that similar cellular mechanisms may contribute to the persistent neurological symptoms associated with even mild SARS-CoV-2 respiratory infection. Here, we explored neuroinflammation caused by mild respiratory SARS-CoV-2 infection - without neuroinvasion - and effects on hippocampal neurogenesis and the oligodendroglial lineage. Using a mouse model of mild respiratory SARS-CoV-2 infection induced by intranasal SARS-CoV-2 delivery, we found white matter-selective microglial reactivity, a pattern observed in CRCI. Human brain tissue from 9 individuals with COVID-19 or SARS-CoV-2 infection exhibits the same pattern of prominent white matter-selective microglial reactivity. In mice, pro-inflammatory CSF cytokines/chemokines were elevated for at least 7-weeks post-infection; among the chemokines demonstrating persistent elevation is CCL11, which is associated with impairments in neurogenesis and cognitive function. Humans experiencing long-COVID with cognitive symptoms (48 subjects) similarly demonstrate elevated CCL11 levels compared to those with long-COVID who lack cognitive symptoms (15 subjects). Impaired hippocampal neurogenesis, decreased oligodendrocytes and myelin loss in subcortical white matter were evident at 1 week, and persisted until at least 7 weeks, following mild respiratory SARS-CoV-2 infection in mice. Taken together, the findings presented here illustrate striking similarities between neuropathophysiology after cancer therapy and after SARS-CoV-2 infection, and elucidate cellular deficits that may contribute to lasting neurological symptoms following even mild SARS-CoV-2 infection.
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Affiliation(s)
| | - Peiwen Lu
- Department of Immunobiology, Yale University, New Haven CT USA
| | - Anna C. Geraghty
- Department of Neurology and Neurological Sciences, Stanford University, Stanford CA USA
| | - Eric Song
- Department of Immunobiology, Yale University, New Haven CT USA
| | - Myoung-Hwa Lee
- National Institute of Neurological Disorders and Stroke, Besthesda MD USA
| | - Jamie Wood
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY USA
| | - Belgin Yalçın
- Department of Neurology and Neurological Sciences, Stanford University, Stanford CA USA
| | - Kathryn R. Taylor
- Department of Neurology and Neurological Sciences, Stanford University, Stanford CA USA
| | - Selena Dutton
- Department of Neurology and Neurological Sciences, Stanford University, Stanford CA USA
| | - Lehi Acosta-Alvarez
- Department of Neurology and Neurological Sciences, Stanford University, Stanford CA USA
| | - Lijun Ni
- Department of Neurology and Neurological Sciences, Stanford University, Stanford CA USA
| | | | | | - Jon Klein
- Department of Immunobiology, Yale University, New Haven CT USA
| | - Carolina Lucas
- Department of Immunobiology, Yale University, New Haven CT USA
| | - Tianyang Mao
- Department of Immunobiology, Yale University, New Haven CT USA
| | - Julio Silva
- Department of Immunobiology, Yale University, New Haven CT USA
| | | | | | | | - Laura Tabacof
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY USA
| | - Jenna Tosto-Mancuso
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY USA
| | - Erica Breyman
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY USA
| | - Amy Kontorovich
- Cardiovascular Research Institute, Mount Sinai School of Medicine, New York, NY USA
| | - Dayna McCarthy
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY USA
| | | | - Marco Hefti
- Department of Pathology, University of Iowa, Iowa City, IA USA
| | - Daniel Perl
- Department of Pathology, Uniformed Services University of Health Sciences, Bethesda MD USA
| | | | - David Putrino
- Abilities Research Center, Department of Rehabilitation and Human Performance, Mount Sinai School of Medicine, New York, NY USA
| | - Avi Nath
- National Institute of Neurological Disorders and Stroke, Besthesda MD USA
| | - Akiko Iwasaki
- Department of Immunobiology, Yale University, New Haven CT USA
- Howard Hughes Medical Institute, Yale University, New Haven CT USA
| | - Michelle Monje
- Department of Neurology and Neurological Sciences, Stanford University, Stanford CA USA
- Howard Hughes Medical Institute, Stanford University, Stanford CA USA
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35
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Tabacof L, Tosto-Mancuso J, Wood J, Cortes M, Kontorovich A, McCarthy D, Rizk D, Rozanski G, Breyman E, Nasr L, Kellner C, Herrera JE, Putrino D. Post-acute COVID-19 Syndrome Negatively Impacts Physical Function, Cognitive Function, Health-Related Quality of Life, and Participation. Am J Phys Med Rehabil 2022; 101:48-52. [PMID: 34686631 PMCID: PMC8667685 DOI: 10.1097/phm.0000000000001910] [Citation(s) in RCA: 139] [Impact Index Per Article: 69.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
OBJECTIVE This report describes persistent symptoms associated with post-acute COVID-19 syndrome (PACS) and the impact of these symptoms on physical function, cognitive function, health-related quality of life, and participation. DESIGN This study used a cross-sectional observational study design. Patients attending Mount Sinai's post-acute COVID-19 syndrome clinic completed surveys containing patient-reported outcomes. RESULTS A total of 156 patients completed the survey, at a median (range) time of 351 days (82-457 days) after COVID-19 infection. All patients were prevaccination. The most common persistent symptoms reported were fatigue (n = 128, 82%), brain fog (n = 105, 67%), and headache (n = 94, 60%). The most common triggers of symptom exacerbation were physical exertion (n = 134, 86%), stress (n = 107, 69%), and dehydration (n = 77, 49%). Increased levels of fatigue (Fatigue Severity Scale) and dyspnea (Medical Research Council) were reported, alongside reductions in levels of regularly completed physical activity. Ninety-eight patients (63%) scored for at least mild cognitive impairment (Neuro-Qol), and the domain of the EuroQol: 5 dimension, 5 level most impacted was Self-care, Anxiety/Depression and Usual Activities. CONCLUSIONS Persistent symptoms associated with post-acute COVID-19 syndrome seem to impact physical and cognitive function, health-related quality of life, and participation in society. More research is needed to further clarify the relationship between COVID-19 infection and post-acute COVID-19 syndrome symptoms, the underlying mechanisms, and treatment options.
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36
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Wood J, Tabacof L, Tosto-Mancuso J, McCarthy D, Kontorovich A, Putrino D. Levels of end-tidal carbon dioxide are low despite normal respiratory rate in individuals with long COVID. J Breath Res 2021; 16. [PMID: 34808607 DOI: 10.1088/1752-7163/ac3c18] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 11/22/2021] [Indexed: 02/01/2023]
Affiliation(s)
- Jamie Wood
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Laura Tabacof
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Jenna Tosto-Mancuso
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Dayna McCarthy
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Amy Kontorovich
- Zena and Michael A Weiner Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.,The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - David Putrino
- Abilities Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
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37
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Tabacof L, Braren S, Patterson T, Fry A, Putrino D. Safety and Tolerability of a Wearable, Vibrotactile Stimulation Device for Parkinson's Disease. Front Hum Neurosci 2021; 15:712621. [PMID: 34867237 PMCID: PMC8636931 DOI: 10.3389/fnhum.2021.712621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 10/25/2021] [Indexed: 11/18/2022] Open
Abstract
Background: Resting tremor is a cardinal symptom of Parkinson’s disease (PD) that contributes to the physical, emotional, and economic burden of the disease. Objective: The goal of this study was to investigate the safety, tolerability, and preliminary effectiveness of a novel wearable vibrotactile stimulation device on resting tremor in individuals with PD. Methods: Using a randomized cross-over design, subjects received two different vibrotactile stimulation paradigms (high amplitude patterned and low amplitude continuous) on two separate laboratory visits. On each visit, resting tremor was video recorded for 10 min at baseline and while the vibrotactile stimulation was applied. Tremor severity was scored by a blinded clinician. Results: Both vibration paradigms were well safe and well tolerated and resulted in a reduction in resting tremor severity with a moderate effect size (n = 44, p < 0.001, r = 0.37–0.54). There was no significant difference between the two vibration paradigms (p = 0.14). Conclusion: Short durations of vibrotactile stimulation delivered via wearable devices were safe and well tolerated and may attenuate resting tremor severity in individuals with PD. The sample size as well as the potential preliminary effectiveness revealed by two arms of the study could not eliminate the potential for a placebo effect.
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Affiliation(s)
- Laura Tabacof
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Stephen Braren
- Department of Applied Psychology, New York University, New York, NY, United States
| | - Taylor Patterson
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Adam Fry
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Tabacof L, Baker TS, Durbin JR, Desai V, Zeng Q, Sahasrabudhe A, Herrera JE, Putrino D. Telehealth Treatment for Non-Specific Low Back Pain: A Review of the Current State in Mobile Health. PM R 2021; 14:1086-1098. [PMID: 34786870 DOI: 10.1002/pmrj.12738] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 11/08/2021] [Accepted: 11/12/2021] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Non-specific low back pain (LBP) is an idiopathic musculoskeletal condition that affects 4 out of 5 individuals in their lifetime and is the leading cause of job-related disability in the United States (US). The interest in interactive and dynamic telehealth treatments for LBP continues to grow, and it is important for the medical community to remain up-to-date on the state of the science. LITERATURE SURVEY Relevant studies published from March 2016 until March 2021 were identified through a systematic search of EMBASE, MedLine and Web of Science. The search strategy combined the concepts of back pain, telehealth and mobile applications. METHODOLOGY Titles and abstracts were screened to select full text randomized controlled trials or protocols and methodological quality and risk of bias was assessed using the Cochrane risk-of-bias tool. Data were synthesized narratively. SYNTHESIS We included seven concluded randomized controlled trials and two study protocols reporting mobile health (mHealth) solutions for LBP. Six of the seven concluded trials found a significant improvement in self-reported numerical pain rating scale compared to the control group. A single trial compared a mHealth solution to physical therapy, with the majority of studies comparing interventions to "usual care." Substantial heterogeneity in reporting of sample characteristics was found, indicating a lack of standardization through the field. CONCLUSIONS mHealth solutions may positively impact people with LBP. Larger trials should be encouraged and the field should coalesce around a set of baseline variables for collection and reporting. As many interventions involve patient engagement, future trials should aim to further quantify adherence levels and begin to define telehealth 'doses' associated with better outcomes. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Laura Tabacof
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Rehabilitation & Human Performance Department, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Turner S Baker
- Sinai BioDesign, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Neoteric Consulting Group
| | - John R Durbin
- Sinai BioDesign, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | - Joseph E Herrera
- Rehabilitation & Human Performance Department, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David Putrino
- Abilities Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Rehabilitation & Human Performance Department, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Salazar S, Oyewole F, Obi T, Baron R, Mahony D, Kropelnicki A, Cohen A, Putrino D, Fry A. Steady-state visual evoked potentials are unchanged following physical and cognitive exertion paradigms. Journal of Concussion 2021. [DOI: 10.1177/20597002211055346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background There is a need for objective biomarkers of sports-related concussion that are unaffected by physical and cognitive exertion. Electroencephalography-based biomarkers such as steady-state visually evoked potentials (SSVEPs) have been proposed as one such biomarker. The aim of this study was to investigate the effects of cognitive and physical exertion on SSVEP signal-to-noise ratio (SNR). Methods This study involved two experiments. The first experiment was performed in a controlled laboratory environment and involved a treadmill run designed to induce physical fatigue and a Stroop task designed to induce mental fatigue, completed in a randomized order on two separate visits. SSVEPs were evoked using a 15-Hz strobe using a Nurochek headset before and after each task. Changes in the 15-Hz SSVEP SNR and self-reported fatigue (visual analog scales) were assessed. In the second experiment, SSVEP SNR was measured before and after real-world boxing matches. Paired t-tests compared pre- and post-task SSVEP SNR and fatigue scores. Results Eighteen participants were recruited for experiment 1. Following the treadmill run, participants reported higher physical fatigue, mental fatigue, and overall fatigue ( p ≤ 0.005; d ≥ 0.90). Following the Stroop task, participants reported higher mental fatigue and overall fatigue ( p < 0.001; d ≥ 1.16), but not physical fatigue. SSVEP SNR scores were unchanged following either the Stroop task ( p = 0.059) or the treadmill task ( p = 0.590). Seven participants were recruited for experiment 2. SSVEP SNR scores were unchanged following the boxing matches ( p = 0.967). Conclusions The results of both experiments demonstrate that SSVEP SNR scores were not different following the treadmill run, Stroop task or amateur boxing match. These findings provide preliminary evidence that SSVEP fidelity may not be significantly affected by physical and cognitive exertion paradigms.
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Affiliation(s)
- Sophia Salazar
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Femi Oyewole
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ted Obi
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rebecca Baron
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Adam Fry
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Fry A, Braren S, Pitaro N, Larson B, Putrino D. Music Augmented With Isochronic Auditory Beats or Vibrotactile Stimulation Does Not Affect Subsequent Ergometer Cycling Performance: A Pilot Study. Front Hum Neurosci 2021; 15:713193. [PMID: 34588965 PMCID: PMC8475787 DOI: 10.3389/fnhum.2021.713193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 08/12/2021] [Indexed: 11/13/2022] Open
Abstract
Methods to enhance the ergogenic effects of music are of interest to athletes of all abilities. The aim of this pilot study was to investigate the ergogenic effects of two commercially available methods of music augmentation: auditory beats and vibrotactile stimulation. Six male and five female cyclists/triathletes cycled for 7 minutes at three different intensities: a rate of perceived exertion (RPE) of 11 (“light”), RPE of 15 (“hard”), and a 7-minute time-trial. Before each 7-minute bout of cycling, participants listened to 10 minutes of self-selected music (MUS), or the same music with the addition of either isochronic auditory beats (ABS) or vibrotactile stimulation via SUBPACTM (VIB). MUS, ABS and VIB trials were performed in a randomized order. Power output was measured during cycling and felt arousal and feeling scores were recorded at timepoints throughout the protocol. The results found the augmented MUS interventions did not influence power output with no significant main effect of trial (p = 0.44, η2 = 0.09) or trial × cycling intensity interaction (p = 0.11, η2 = 0.20). Similarly, both felt arousal and feeling scores were unchanged between the MUS, ABS, and VIB trials (p > 0.05). In conclusion, this pilot study indicated an ineffectiveness of the ABS and VIB to affect subsequent 7-min cycling performance compared to self-selected MUS alone.
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Affiliation(s)
- Adam Fry
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Stephen Braren
- Department of Applied Psychology, New York University, New York, NY, United States
| | - Nicholas Pitaro
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Brandon Larson
- Red Bull High Performance, Red Bull North America, Santa Monica, CA, United States
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Abstract
This review presents a conceptual framework of burnout using models that have been developed throughout the years and provides the basis for the psychological measures used in clinical evaluations. Clinical gold standards, including the Athlete Burnout Questionnaire and the Maslach Burnout Inventory, are reviewed, compared, and contrasted. Because many of the interventional approaches to burnout are centered around the concept of motivation, organizational interventions are proposed using Self-Determination Theory and other models that promote motivation.
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Affiliation(s)
- Paul H Groenewal
- Inspire Wellness, 266 Harristown Road, Suite 209, Glen Rock, NJ 07452, USA
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, Box 1240, New York, NY 10029, USA.
| | - Marissa R Norman
- Inspire Wellness, 266 Harristown Road, Suite 209, Glen Rock, NJ 07452, USA
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Putrino D, Groenewal PH, Perry R. Selection/Interview Criteria for Drafting Players. Psychiatr Clin North Am 2021; 44:481-492. [PMID: 34373003 DOI: 10.1016/j.psc.2021.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
One important element for forming and cultivating a high performing team in any sport is player selection. For most professional sports, this is an intense period whereby coaching, performance, and administrative staff must work together and use collective wisdom to identify players who have the best probability of consistent high performance. The stakes of a draft are high: the wrong choice can be incredibly costly and impact a team's performance and culture for many years. This article identifies and details common features of the drafting procedure, followed by a discussion of best practices for structuring and executing a draft protocol.
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Affiliation(s)
- David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, Box 1240, New York, NY 10029, USA.
| | | | - Rosemarie Perry
- Social Creatures, Brooklyn, NY, USA; Department of Applied Psychology, New York University, New York, NY, USA
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Tabacof L, Wood J, Mohammadi N, Link KE, Tosto-Mancuso J, Dewil S, Breyman E, Nasr L, Kellner C, Putrino D. Remote Patient Monitoring Identifies the Need for Triage in Patients with Acute COVID-19 Infection. Telemed J E Health 2021; 28:495-500. [PMID: 34292768 DOI: 10.1089/tmj.2021.0101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background: Telehealth was frequently used in the provision of care and remote patient monitoring (RPM) during the COVID-19 pandemic. The Precision Recovery Program (PRP) remotely monitored and supported patients with COVID-19 in their home environment. Methods: This was a single-center retrospective cohort study reviewing data acquired from the PRP clinical initiative. Results: Of the 679 patients enrolled in the PRP, 156 patients were screened by a clinician following a deterioration in symptoms and vital signs on a total of 240 occasions, and included in the analyses. Of these 240 occasions, 162 (67%) were escalated to the PRP physician. Thirty-six patients were referred to emergency department, with 12 (7%) admitted to the hospital. The most common risk factors coinciding with hospital admissions were cardiac (67%), age >65 (42%), obesity (25%), and pulmonary (17%). The most common symptoms reported that triggered a screening event were dyspnea/tachypnea (27%), chest pain (14%), and gastrointestinal issues (8%). Vital signs that commonly triggered a screening event were pulse oximetry (15%), heart rate (11%), and temperature (9%). Discussion: Common factors (risk factors, vital signs, and symptoms) among patients requiring screening, triage, and hospitalization were identified, providing clinicians with further information to support decision making when utilizing RPM in this cohort. Conclusion: A clinician-led RPM program for patients with acute COVID-19 infection provided supportive care and screening for deterioration. Similar models should be considered for implementation in COVID-19 cohorts and other conditions at risk of rapid clinical deterioration in the home setting.
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Affiliation(s)
- Laura Tabacof
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jamie Wood
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nicki Mohammadi
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Katherine E Link
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jenna Tosto-Mancuso
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sophie Dewil
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Erica Breyman
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Leila Nasr
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Christopher Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - David Putrino
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Tabacof L, Kellner C, Breyman E, Dewil S, Braren S, Nasr L, Tosto J, Cortes M, Putrino D. Remote Patient Monitoring for Home Management of Coronavirus Disease 2019 in New York: A Cross-Sectional Observational Study. Telemed J E Health 2021; 27:641-648. [DOI: 10.1089/tmj.2020.0339] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Affiliation(s)
- Laura Tabacof
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Christopher Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Erica Breyman
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sophie Dewil
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stephen Braren
- Department of Applied Psychology, New York University, New York, New York, USA
| | - Leila Nasr
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jenna Tosto
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mar Cortes
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - David Putrino
- Department of Rehabilitation and Human Performance and Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Fong DH, Cohen AJ, Mahony DE, Simon NG, Herrera JE, Baron RB, Putrino D. Objectively Assessing Sports Concussion utilizing Visual Evoked Potentials. J Vis Exp 2021. [PMID: 33999030 DOI: 10.3791/62082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
A portable system capable of measuring steady-state visual-evoked potentials (SSVEP) was developed to provide an objective, quantifiable method of electroencephalogram (EEG) testing following a traumatic event. In this study, the portable system was used on 65 healthy rugby players throughout a season to determine whether SSVEP are a reliable electrophysiological biomarker for concussion. Preceding the competition season, all players underwent a baseline SSVEP assessment. During the season, players were re-tested within 72 h of a match for either test-retest reliability or post-injury assessment. In the case of a medically diagnosed concussion, players were reassessed again once deemed recovered by a physician. The SSVEP system consisted of a smartphone housed in a VR-frame delivering a 15 Hz flicker stimulus, while a wireless EEG headset recorded occipital activity. Players were instructed to stare at the screen's fixation point while remaining seated and quiet. Electrodes were arranged according to the 10-20 EEG-positioning nomenclature, with O1-O2 being the recording channels while P1-P2 the references and bias, respectively. All EEG data was processed using a Butterworth bandpass filter, Fourier transformation, and normalization to convert data for frequency analysis. Players SSVEP responses were quantified into a signal-to-noise ratio (SNR), with 15 Hz being the desired signal, and summarized into respective study groups for comparison. Concussed players were seen to have a significantly lower SNR compared to their baseline; however, post-recovery, their SNR was not significantly different from the baseline. Test-retest indicated high device reliability for the portable system. An improved portable SSVEP system was also validated against an established EEG amplifier to ensure the investigative design is capable of obtaining research quality EEG measurements. This is the first study to identify differences in SSVEP responses in amateur athletes following a concussion and indicates the potential for SSVEP as an aid in concussion assessment and management.
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Affiliation(s)
- Daryl H Fong
- School of Aerospace, Mechanical and Mechatronic Engineering, Faculty of Engineering and Information Technologies, University of Sydney
| | | | | | - Neil G Simon
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales
| | - Joseph E Herrera
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai
| | - Rebecca B Baron
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai
| | - David Putrino
- Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai
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Toth AJ, Frank C, Putrino D, Campbell MJ. Editorial: Progress in Computer Gaming and Esports: Neurocognitive and Motor Perspectives. Front Psychol 2021; 12:686152. [PMID: 33967930 PMCID: PMC8100197 DOI: 10.3389/fpsyg.2021.686152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 03/30/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Adam J. Toth
- Department of Physical Education and Sport Sciences, Faculty of Education and Health Sciences, University of Limerick, Limerick, Ireland
- Lero, The Irish Software Research Centre, Limerick, Ireland
| | - Cornelia Frank
- Institute for Sport and Movement Sciences, University of Osnabrück, Osnabrück, Germany
| | - David Putrino
- Icahn School of Medicine, Mount Sinai Hospital, New York, NY, United States
| | - Mark J. Campbell
- Department of Physical Education and Sport Sciences, Faculty of Education and Health Sciences, University of Limerick, Limerick, Ireland
- Lero, The Irish Software Research Centre, Limerick, Ireland
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Tabacof L, Dewil S, Herrera JE, Cortes M, Putrino D. Adaptive Esports for People With Spinal Cord Injury: New Frontiers for Inclusion in Mainstream Sports Performance. Front Psychol 2021; 12:612350. [PMID: 33935866 PMCID: PMC8082019 DOI: 10.3389/fpsyg.2021.612350] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 03/18/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: People with Spinal Cord Injury (SCI) are at risk of feeling socially disconnected. Competitive esports present an opportunity for people with SCI to remotely engage in a community. The aim of this study is to discuss barriers to esports participation for people with SCI, present adaptive solutions to these problems, and analyze self-reported changes in social connection. Materials and Methods: We presented a descriptive data collected in the process of a quality improvement initiative at Mount Sinai Hospital. In 2019, seven individuals with cervical SCI and quadriplegia participated in a special interest group on esports. Group scores were then analyzed for evidence of between subjects variability using a single sample t-test. A Pearson's correlation was conducted to determine the relationship between social connectedness and demographic data. Results: All players experienced functional limitations as a result of their injury but managed to design personalized gaming setups with adaptive equipment that allowed them to successfully compete in esports. All players reported a positive change in perceived social connectedness (p < 0.001) after participating in the special interest group. Score on Social Connectedness Scale negatively correlated with Time since injury (years). Discussion: It is feasible to create adaptive gaming setups that can be used by people with differing degrees and severity of SCI in a competitive esports environment. Technology and adaptive competitive esports have a potential to improve social connectedness and inclusion in people with quadriplegia. Further research on efficacy and effectiveness of these inclusive environments and their effects on quality of life, activity, and participation is warranted.
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Affiliation(s)
- Laura Tabacof
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Sophie Dewil
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Joseph E Herrera
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Mar Cortes
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Cramer SC, Le V, Saver JL, Dodakian L, See J, Augsburger R, McKenzie A, Zhou RJ, Chiu NL, Heckhausen J, Cassidy JM, Scacchi W, Smith MT, Barrett AM, Knutson J, Edwards D, Putrino D, Agrawal K, Ngo K, Roth EJ, Tirschwell DL, Woodbury ML, Zafonte R, Zhao W, Spilker J, Wolf SL, Broderick JP, Janis S. Intense Arm Rehabilitation Therapy Improves the Modified Rankin Scale Score: Association Between Gains in Impairment and Function. Neurology 2021; 96:e1812-e1822. [PMID: 33589538 DOI: 10.1212/wnl.0000000000011667] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 12/23/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To evaluate the effect of intensive rehabilitation on the modified Rankin Scale (mRS), a measure of activities limitation commonly used in acute stroke studies, and to define the specific changes in body structure/function (motor impairment) most related to mRS gains. METHODS Patients were enrolled >90 days poststroke. Each was evaluated before and 30 days after a 6-week course of daily rehabilitation targeting the arm. Activity gains, measured using the mRS, were examined and compared to body structure/function gains, measured using the Fugl-Meyer (FM) motor scale. Additional analyses examined whether activity gains were more strongly related to specific body structure/function gains. RESULTS At baseline (160 ± 48 days poststroke), patients (n = 77) had median mRS score of 3 (interquartile range, 2-3), decreasing to 2 [2-3] 30 days posttherapy (p < 0.0001). Similarly, the proportion of patients with mRS score ≤2 increased from 46.8% at baseline to 66.2% at 30 days posttherapy (p = 0.015). These findings were accounted for by the mRS score decreasing in 24 (31.2%) patients. Patients with a treatment-related mRS score improvement, compared to those without, had similar overall motor gains (change in total FM score, p = 0.63). In exploratory analysis, improvement in several specific motor impairments, such as finger flexion and wrist circumduction, was significantly associated with higher likelihood of mRS decrease. CONCLUSIONS Intensive arm motor therapy is associated with improved mRS in a substantial fraction (31.2%) of patients. Exploratory analysis suggests specific motor impairments that might underlie this finding and may be optimal targets for rehabilitation therapies that aim to reduce activities limitations. CLINICAL TRIAL Clinicaltrials.gov identifier: NCT02360488. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that for patients >90 days poststroke with persistent arm motor deficits, intensive arm motor therapy improved mRS in a substantial fraction (31.2%) of patients.
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Affiliation(s)
- Steven C Cramer
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD.
| | - Vu Le
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Jeffrey L Saver
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Lucy Dodakian
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Jill See
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Renee Augsburger
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Alison McKenzie
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Robert J Zhou
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Nina L Chiu
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Jutta Heckhausen
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Jessica M Cassidy
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Walt Scacchi
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Megan Therese Smith
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - A M Barrett
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Jayme Knutson
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Dylan Edwards
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - David Putrino
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Kunal Agrawal
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Kenneth Ngo
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Elliot J Roth
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - David L Tirschwell
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Michelle L Woodbury
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Ross Zafonte
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Wenle Zhao
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Judith Spilker
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Steven L Wolf
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Joseph P Broderick
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
| | - Scott Janis
- From the Department of Neurology (S.C.C., J.L.S.), University of California, Los Angeles; California Rehabilitation Institute (S.C.C.), Los Angeles; Department of Neurology (S.C.C., V.L., L.D., J. See, R.A., A.M., R.J.Z., N.L.C., J.M.C.), Department of Psychological Science (J.H.), Institute for Software Research (W.S.), and Department of Statistics (M.T.S.), University of California, Irvine; Department of Physical Therapy (A.M.), Chapman University, Irvine, CA; Department of Allied Health Sciences (J.M.C.), University of North Carolina at Chapel Hill; Department of Stroke Rehabilitation Research (A.M.B.), Kessler Foundation; Department of Stroke Rehabilitation (A.M.B.), Kessler Institute for Rehabilitation, West Orange, NJ; Department of Physical Medicine and Rehabilitation (J.K.), MetroHealth System, Case Western Reserve University, Cleveland, OH; Brain Stimulation and Robotics Laboratory (D.E.), Burke Neurological Institute; Department of Telemedicine and Virtual Rehabilitation (D.P.), Burke Medical Research Institute, White Plains, NY; Abilities Research Center (D.P.), Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Clinical Neurosciences (K.A.), University of California, San Diego, La Jolla; Brooks Rehabilitation Clinical Research Center (K.N.), Brooks Rehabilitation, Jacksonville, FL; Department of Physical Medicine and Rehabilitation (E.J.R.), Northwestern University, Chicago, IL; Department of Neurology (D.L.T.), University of Washington, Seattle; Departments of Health Science and Research (M.L.W.) and Public Health Sciences (W.Z.), Medical University of South Carolina, Charleston; Department of Physical Medicine and Rehabilitation (R.Z.), Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA; Department of Neurology (J. Spilker, J.P.B.), University of Cincinnati, OH; Department of Rehabilitation Medicine (S.L.W.), Division of Physical Therapy Education, Emory University, Atlanta, GA; Atlanta VA Health Care System (S.L.W.), Center for Visual and Neurocognitive Rehabilitation, Decatur, GA; and NINDS (S.J.), NIH, Bethesda, MD
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Putrino D, Ripp J, Herrera JE, Cortes M, Kellner C, Rizk D, Dams-O'Connor K. Multisensory, Nature-Inspired Recharge Rooms Yield Short-Term Reductions in Perceived Stress Among Frontline Healthcare Workers. Front Psychol 2020; 11:560833. [PMID: 33329188 PMCID: PMC7714047 DOI: 10.3389/fpsyg.2020.560833] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 10/27/2020] [Indexed: 11/13/2022] Open
Abstract
We are currently facing global healthcare crisis that has placed unprecedented stress on healthcare workers as a result of the coronavirus disease 2019 (COVID-19). It is imperative that we develop novel tools to assist healthcare workers in dealing with the significant additional stress and trauma that has arisen as a result of the pandemic. Based in research on the effects of immersive environments on mood, a neuroscience research laboratory was rapidly repurposed using commercially available technologies and materials to create a nature-inspired relaxation space. Frontline healthcare workers were invited to book 15-min experiences in the Recharge Room before, during or after their shifts, where they were exposed to the immersive, multisensory experience 496 Recharge Room users (out of a total of 562) completed a short survey about their experience during an unselected, consecutive 14-day period. Average self-reported stress levels prior to entering the Recharge Room were 4.58/6 (±1.1). After a single 15-min experience in the Recharge Room, the average user-reported stress level was significantly reduced 1.85/6 (±1.2; p < 0.001; paired t-test). Net Promoter Score for the experience was 99.3%. Recharge Rooms such as those described here produce significant short-term reductions in perceived stress, and users find them highly enjoyable. These rooms may be of general utility in high-stress healthcare environments.
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Affiliation(s)
- David Putrino
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Jonathan Ripp
- Office of Well-Being and Resilience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Joseph E Herrera
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Mar Cortes
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Christopher Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Dahlia Rizk
- Division of Hospital Medicine, Mount Sinai Beth Israel, New York, NY, United States
| | - Kristen Dams-O'Connor
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Cohen A, Fong D, Putrino D, Boughton P, Herrera J, Simon NG, Raftos P, Mahony D. Steady-State Visual-Evoked Potentials as a Biomarker for Concussion: A Pilot Study. Neurology 2020. [DOI: 10.1212/01.wnl.0000719920.91849.25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
ObjectiveThis study aims to utilize a portable system capable of measuring steady-state visual evoked potentials (SSVEP) to investigate their use as an objective electrophysiologic biomarker for concussion.BackgroundThe most pressing issues in relation to sports related concussion (SRC) involves accurate and timely diagnosis, for a safe return to play criteria. Despite the vast range of tools available to help clinicians assess concussion, most are subjective, non-portable, and therefore non-ideal for unbiased application at the site and time of a suspected injury.Design/MethodsThis system applied a smartphone housed in a VR-frame delivering a 15-Hz flickering stimulus while a wireless electroencephalography (EEG) headset recorded EEG signals. Sixty-five male amateur rugby athletes (20.9 ± 2.3 years-old) were tested throughout a season and were stratified into healthy, concussed, and recovered groups based on clinical examinations pre- and post-competitive games. Players SSVEP responses was quantified into a signal-to-noise ratio (SNR) and summarized into respective study-groups for comparison of medians with 25th–75th interquartile range.ResultsAll sixty-five participants completed a baseline evaluation preseason. Twelve participants sustained a diagnosed concussion during the season and were retested within 72 h of injury. Eight concussed players received additional SSVEP testing following a 2-week recovery period. Concussed participants had a significantly lower SNR [2.20 (2.04–2.38)] when compared to their baseline [4.54 (3.79–5.10)]. When clinically recovered, participant SNR [4.82 (4.13–5.18)] was not significantly different to their baseline. Baseline SNR of concussed and non-concussed participants [4.80 (4.07–5.68)] did not significantly differ.ConclusionsThis is the first study to show that SSVEPs are significantly attenuated in the presence of concussion in male athletes. Concussed individuals' ability to generate SSVEP appear to recover following clinical recovery. The observations of this study indicate SSVEP have the potential to be a supplemental aid for the assessment and management of concussion at point-of-care.
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