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      Performance Variability During Motor Learning of a New Balance Task in a Non-immersive Virtual Environment in Children With Hemiplegic Cerebral Palsy and Typically Developing Peers

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          Abstract

          Background: Motor impairments contribute to performance variability in children with cerebral palsy (CP) during motor skill learning. Non-immersive virtual environments (VEs) are popular interventions to promote motor learning in children with hemiplegic CP. Greater understanding of performance variability as compared to typically developing (TD) peers during motor learning in VEs may inform clinical decisions about practice dose and challenge progression.

          Purpose: (1) To quantify within-child (i.e., across different timepoints) and between-child (i.e., between children at the same timepoint) variability in motor skill acquisition, retention and transfer in a non-immersive VE in children with CP as compared to TD children; and (2) To explore the relationship between the amount of within-child variability during skill acquisition and learning outcomes.

          Methods: Secondary data analysis of 2 studies in which 13 children with hemiplegic CP and 67 TD children aged 7–14 years undertook repeated trials of a novel standing postural control task in acquisition, retention and transfer sessions. Changes in performance across trials and sessions in children with CP as compared to TD children and between younger (7–10 years) and older (11–14 years) children were assessed using mixed effects models. Raw scores were converted to z-scores to meet model distributional assumptions. Performance variability was quantified as the standard deviation of z-scores.

          Results: TD children outperformed children with CP and older children outperformed younger children at each session. Older children with CP had the least between-child variability in acquisition and the most in retention, while older TD children demonstrated the opposite pattern. Younger children with CP had consistently high between-child variability, with no difference between sessions. Within-child variability was highest in younger children, regardless of group. Within-child variability was more pronounced in TD children as compared to children with CP. The relationship between the amount of within-child variability in performance and performance outcome at acquisition, retention and transfer sessions was task-specific, with a positive correlation for 1 study and a negative correlation in the other.

          Conclusions: Findings, though preliminary and limited by small sample size, can inform subsequent research to explore VE-specific causes of performance variability, including differing movement execution requirements and individual characteristics such as motivation, attention and visuospatial abilities.

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          Distribution Theory for Glass's Estimator of Effect size and Related Estimators

          L. Hedges (1981)
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            Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage.

            This paper reviews 10 principles of experience-dependent neural plasticity and considerations in applying them to the damaged brain. Neuroscience research using a variety of models of learning, neurological disease, and trauma are reviewed from the perspective of basic neuroscientists but in a manner intended to be useful for the development of more effective clinical rehabilitation interventions. Neural plasticity is believed to be the basis for both learning in the intact brain and relearning in the damaged brain that occurs through physical rehabilitation. Neuroscience research has made significant advances in understanding experience-dependent neural plasticity, and these findings are beginning to be integrated with research on the degenerative and regenerative effects of brain damage. The qualities and constraints of experience-dependent neural plasticity are likely to be of major relevance to rehabilitation efforts in humans with brain damage. However, some research topics need much more attention in order to enhance the translation of this area of neuroscience to clinical research and practice. The growing understanding of the nature of brain plasticity raises optimism that this knowledge can be capitalized upon to improve rehabilitation efforts and to optimize functional outcome.
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              An update on the prevalence of cerebral palsy: a systematic review and meta-analysis.

              The aim of this study was to provide a comprehensive update on (1) the overall prevalence of cerebral palsy (CP); (2) the prevalence of CP in relation to birthweight; and (3) the prevalence of CP in relation to gestational age. A systematic review and meta-analysis was conducted and reported, based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) statement. Population-based studies on the prevalence of CP in children born in 1985 or after were selected. Statistical analysis was carried out using computer package R, version 2.14. A total of 49 studies were selected for this review. The pooled overall prevalence of CP was 2.11 per 1000 live births (95% confidence interval [CI] 1.98-2.25). The prevalence of CP stratified by gestational age group showed the highest pooled prevalence to be in children weighing 1000 to 1499g at birth (59.18 per 1000 live births; 95% CI 53.06-66.01), although there was no significant difference on pairwise meta-regression with children weighing less than 1000g. The prevalence of CP expressed by gestational age was highest in children born before 28 weeks' gestation (111.80 per 1000 live births; 95% CI 69.53-179.78; p<0.0327). The overall prevalence of CP has remained constant in recent years despite increased survival of at-risk preterm infants. © The Authors. Developmental Medicine & Child Neurology © 2013 Mac Keith Press.
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                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                15 March 2021
                2021
                : 12
                : 623200
                Affiliations
                [1] 1Rehabilitation Games and Virtual Reality Laboratory, Department of Physical Therapy, Movement and Rehabilitation Sciences, Northeastern University , Boston, MA, United States
                [2] 2Department of Biology, Macalester College , St. Paul, MN, United States
                Author notes

                Edited by: Carlos Bandeira de Mello Monteiro, University of São Paulo, Brazil

                Reviewed by: Talita Dias da Silva, University of São Paulo, Brazil; Maxime T. Robert, Laval University, Canada; Fernando Henrique Magalhães, University of São Paulo, Brazil

                *Correspondence: Danielle E. Levac d.levac@ 123456northeastern.edu

                This article was submitted to Neurorehabilitation, a section of the journal Frontiers in Neurology

                Article
                10.3389/fneur.2021.623200
                8005528
                33790848
                e3262c64-e1c3-440e-aa86-688033421a4c
                Copyright © 2021 Cheng, Anderson and Levac.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 29 October 2020
                : 11 February 2021
                Page count
                Figures: 4, Tables: 4, Equations: 0, References: 77, Pages: 12, Words: 8630
                Funding
                Funded by: Eunice Kennedy Shriver National Institute of Child Health and Human Development 10.13039/100009633
                Categories
                Neurology
                Original Research

                Neurology
                cerebral palsy,virtual reality,variability,motor learning,virtual environment,children
                Neurology
                cerebral palsy, virtual reality, variability, motor learning, virtual environment, children

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