Goalkeeper Game: A New Assessment Tool for Prediction of Gait Performance Under Complex Condition in People With Parkinson's Disease

Frontiers in Aging Neuroscience

Marco D. Gubitoso¹  Matheus Silva d'Alencar²  Maria Elisa Pimentel Piemonte²  Antonio C. Roque³  Yanina L. Uscapi⁴  André F. Helene⁴  Rafael B. Stern⁵ 

[1] Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil;Department of Physical Therapy, Speech Therapy and Occupational Therapy, Faculty of Medical Science, University of São Paulo, São Paulo, Brazil;Department of Physics, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, São Paulo, Brazil;Department of Physiology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil;Department of Statistics, Federal University of São Carlos, São Carlos, Brazil;

关键词: games 4 health;    cognition;    balance;    gait;    Parkinson's disease;   

DOI  :  10.3389/fnagi.2020.00050

来源: DOAJ

【 摘 要 】

Background: People with Parkinson's disease (PD) display poorer gait performance when walking under complex conditions than under simple conditions. Screening tests that evaluate gait performance changes under complex walking conditions may be valuable tools for early intervention, especially if allowing for massive data collection.Objectives: To investigate the use of the Goalkeeper Game (GG) to predict impairment in gait performance under complex conditions in people with Parkinson's disease (PPD) and compare its predictive power with the one of the Montreal Cognitive Assessment (MoCA) test.Methods: 74 PPD (HY stages: 23 in stage 1; 31 in stage 2; 20 in stage 3), without dementia (MoCA cut-off 21), tested in ON period with dopaminergic medication were submitted to single individual cognitive/motor evaluation sessions. MoCA and GG were used to assess cognition, and the dynamic gait index (DGI) test was used to assess gait performance under complex condition. GG test resulted in 9 measures extracted via a statistical model. The predictive power of the GG measures and the MoCA score with respect to gait performance, as assessed by DGI, were compared.Results: The predictive models based on GG obtained a better score of prediction (65%) then MoCA (56%) for DGI scores (at a 50% specificity).Conclusion: GG is a novel tool for noninvasive screening that showed a superior predictive power in assessing gait performance under complex condition in people with PD than the well-established MoCa test.

【 授权许可】

Unknown