Publications by authors named "Lynne Gauthier"

Feedback on cognitive workload may reduce decision-making mistakes. Machine learning-based models can produce feedback from physiological data such as electroencephalography (EEG) and electrocardiography (ECG). Supervised machine learning requires large training data sets that are (1) relevant and decontaminated and (2) carefully labeled for accurate approximation, a costly and tedious procedure.

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Background: Dose response has remained a priority area in motor rehabilitation research for decades, prompting several large randomized trials and meta-analyses. These between-subjects comparisons have revealed equivocal relationships between the duration of motor practice and rehabilitation response. Prior reliance on time-consuming clinical assessments made it infeasible to capture within-subjects dose response, as tracking the dose-response trajectory of an individual requires dozens of repeated administrations.

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Objective: Few studies have examined the economic burden of and sociodemographic disparities in injuries on families of children with ADHD on a national scale. The objective of this study was to address these literature gaps.

Methods: Data from 7,102 children with ADHD aged 5 to 17 years in the Medical Expenditure Panel Survey 2011 to 2020 were analyzed for national trends, annualized average, and sociodemographic disparities in injury-related medical expenditures among children with ADHD.

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Objective: Impaired attention and inhibitory control put children with ADHD at potentially high risk of injury-one of the leading causes of disability in the general pediatric population. Existing research has yet to examine this important health risk using nationally representative samples. This population-based study aimed to address this gap.

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Objective: To investigate how participants self-schedule their engagement with domestic rehabilitation gaming platform, and how their scheduling behavior in turn influence overall compliance.

Design: Cohort of individuals randomized to receive in-home rehabilitation gaming during a multi-site randomized controlled trial.

Setting: In-home self-managed rehabilitation.

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Decades of research have shown machine learning superiority in discovering highly nonlinear patterns embedded in electroencephalography (EEG) records compared with conventional statistical techniques. However, even the most advanced machine learning techniques require relatively large, labeled EEG repositories. EEG data collection and labeling are costly.

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Up to 85% of people with chronic stroke experience somatosensory impairment, which contributes to poor sensorimotor control and non-use of the affected limb. Neurophysiological mechanisms suggest motor rehabilitation may improve tactile sense post-stroke, however, somatosensory recovery has rarely been reported in controlled trials. To compare the effect of four upper limb motor rehabilitation programs on the recovery of tactile sensation in adults with chronic stroke.

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Background: Integrating behavioral intervention into motor rehabilitation is essential for improving paretic arm use in daily life. Demands on therapist time limit adoption of behavioral programs like Constraint-Induced Movement (CI) therapy, however. Self-managed motor practice could free therapist time for behavioral intervention, but there remains insufficient evidence of efficacy for a self-management approach.

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Background: Health systems and providers across America are increasingly employing telehealth technologies to better serve medically underserved low-income, minority, and rural populations at the highest risk for health disparities. The Patient-Centered Outcomes Research Institute (PCORI) has invested US $386 million in comparative effectiveness research in telehealth, yet little is known about the key early lessons garnered from this research regarding the best practices in using telehealth to address disparities.

Objective: This paper describes preliminary lessons from the body of research using study findings and case studies drawn from PCORI seminal patient-centered outcomes research (PCOR) initiatives.

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Objective: To investigate the efficacy of virtual reality (VR)- and gaming-based interventions for improving upper extremity function poststroke, and to examine demographic and treatment-related factors that may moderate treatment response.

Data Sources: A comprehensive search was conducted within the PubMed, CINAHL/EBSCO, SCOPUS, Ovid MEDLINE, and EMBASE databases for articles published between 2005 and 2019.

Study Selection: Articles investigating gaming and VR methods of treatment for upper extremity weakness were collected with the following study inclusion criteria: (1) participants aged 18 years or older with upper extremity deficits; (2) randomized controlled trials or prospective study design; (3) Downs-Black rating score of ≥18; and (4) outcome measure was the Wolf Motor Functioning Test, the Fugl-Meyer, or the Action Research Arm Test.

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Background: Constraint-induced movement therapy (CI therapy) produces, on average, large and clinically meaningful improvements in the daily use of a more affected upper extremity in individuals with hemiparesis. However, individual responses vary widely.

Objective: The study objective was to investigate the extent to which individual characteristics before treatment predict improved use of the more affected arm following CI therapy.

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. To derive a shorter version of the Motor Activity Log Quality-of-Movement Scale (MAL-28) with enhanced content and construct validity. .

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Virtual rehabilitation yields outcomes that are at least as good as traditional care for improving upper limb function and the capacity to carry out activities of daily living. Due to the advent of low-cost gaming systems and patient preference for game-based therapies, video game technology will likely be increasingly utilized in physical therapy practice in the coming years. Gaming systems that incorporate low-cost motion capture technology often generate large datasets of therapeutic movements performed over the course of rehabilitation.

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Background: Constraint-induced movement therapy (CI therapy) is one of few treatments for upper extremity (UE) hemiparesis that has been shown to result in motor recovery and improved quality of life in chronic stroke. However, the extent to which treatment-induced improvements in motor function versus daily use of the more affected arm independently contribute to improved quality of life remains largely unexplored.

Objective: The objective of this study is to identify whether motor function or daily use of a hemiparetic arm has a greater influence on quality of life after CI therapy.

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Purpose: People with chronic hemiparesis are frequently dissatisfied with the recovery of their hand and arm, yet many lack access to effective treatments. Constraint-induced movement therapy (CI therapy) effectively increases arm function and spontaneous use in persons with chronic hemiparesis. The purpose of this study was to determine the feasibility and measure safety and outcomes of an in-home model of delivering CI therapy using a custom, avatar-based virtual reality game.

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The majority of rehabilitation research focuses on the comparative effectiveness of different interventions in groups of patients, while much less is currently known regarding individual factors that predict response to rehabilitation. In a recent article, the authors presented a prognostic model to identify the sensorimotor characteristics predictive of the extent of motor recovery after Constraint-Induced Movement (CI) therapy amongst individuals with chronic mild-to-moderate motor deficit using the enhanced probabilistic neural network (EPNN). This follow-up paper examines which participant characteristics are robust predictors of rehabilitation response irrespective of the training modality.

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Background: Constraint-Induced Movement therapy (CI therapy) is shown to reduce disability, increase use of the more affected arm/hand, and promote brain plasticity for individuals with upper extremity hemiparesis post-stroke. Randomized controlled trials consistently demonstrate that CI therapy is superior to other rehabilitation paradigms, yet it is available to only a small minority of the estimated 1.2 million chronic stroke survivors with upper extremity disability.

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Constraint-induced movement therapy (CI therapy) is a well-researched intervention for treatment of upper limb function. Overall, CI therapy yields clinically meaningful improvements in speed of task completion and greatly increases use of the more affected upper extremity for daily activities. However, individual improvements vary widely.

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HIV-infected individuals frequently exhibit brain dysfunction despite antiretroviral treatment. The neuropathological mechanisms underlying these abnormalities remain unclear, pointing to the importance of identifying biomarkers sensitive to brain dysfunction. We examined 74 medically stable HIV-infected individuals using T1-weighted MRI.

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Purpose: The purpose of this study was to delineate the relationship between several types of T1-weighted MRI pathology and motor rehabilitation potential following Constraint Induced Movement therapy (CI therapy) in chronic stroke.

Methods: Stepwise regression was employed (n = 80) to identify predictors of motor recovery (prior to therapy) and of response to Constraint-Induced Movement therapy [measured via the Wolf Motor Function Test (WMFT) and Motor Activity Log (MAL)] from among the following: age, side of motor deficit, chronicity, gender, lesion volume, peri-infarct damage volume, white matter hypointensity volume, ventricular asymmetry, and lesion location.

Results: Although extent of total stroke damage weakly correlated with poorer performance on the WMFT prior to therapy, this relationship was mediated by the location of the damage.

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Objective: To investigate the relationship of white matter integrity and path of the corticospinal tract (CST) on arm function before and after constraint-induced (CI) movement therapy in children with hemiparetic cerebral palsy (CP) and adults with chronic stroke.

Design: Study 1 used a multiple-baseline pre-post design. Study 2 was a randomized controlled trial.

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Research from the present laboratory with adult stroke patients showed that structural neuroplastic changes are correlated with clinical improvements due to constraint-induced movement (CI) therapy. This pilot study evaluated whether comparable changes occur in children receiving CI therapy. Ten children (6 boys) with congenital hemiparesis (mean age: 3 years, 3 months) underwent MRI scans 3 weeks before, immediately before, and immediately after receiving 3 weeks of CI therapy.

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