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

Carregando...
Imagem de Miniatura
Citações na Scopus
3
Tipo de produção
article
Data de publicação
2020
Título da Revista
ISSN da Revista
Título do Volume
Editora
FRONTIERS MEDIA SA
Autores
STERN, Rafael B.
USCAPI, Yanina L.
GUBITOSO, Marco D.
ROQUE, Antonio C.
HELENE, Andre F.
Citação
FRONTIERS IN AGING NEUROSCIENCE, v.12, article ID 50, 9p, 2020
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
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.
Palavras-chave
games 4 health, cognition, balance, gait, Parkinson's disease
Referências
  1. Alcock L, 2018, GAIT POSTURE, V61, P368, DOI 10.1016/j.gaitpost.2018.01.030
  2. Amboni M, 2013, MOVEMENT DISORD, V28, P1520, DOI 10.1002/mds.25674
  3. Amboni M, 2012, MOVEMENT DISORD, V27, P1536, DOI 10.1002/mds.25165
  4. Belghali M, 2017, GEROSCIENCE, V39, P305, DOI 10.1007/s11357-017-9977-7
  5. Belghali M, 2017, FRONT NEUROL, V8, DOI 10.3389/fneur.2017.00207
  6. Bloem BR, 2016, MOVEMENT DISORD, V31, P1342, DOI 10.1002/mds.26572
  7. Caetano MJD, 2018, PARKINSONISM RELAT D, V47, P32, DOI 10.1016/j.parkreldis.2017.11.340
  8. Carpenter B, 2017, J STAT SOFTW, V76, P1, DOI 10.18637/jss.v076.i01
  9. Chou KL, 2010, MOVEMENT DISORD, V25, P2501, DOI 10.1002/mds.23362
  10. D'Alencar M, 2018, MOVEMENT DISORD, V33, pS41
  11. de Castro B. M., 2016, THESIS
  12. DELONG ER, 1988, BIOMETRICS, V44, P837, DOI 10.2307/2531595
  13. Dibble LE, 2008, PHYS THER, V88, P323, DOI 10.2522/ptj.20070082
  14. Domellof ME, 2011, MOVEMENT DISORD, V26, P2183, DOI 10.1002/mds.23814
  15. Drasgow F., 2004, ENCY STAT SCI, DOI [10.1002/0471667196.ess2014., DOI 10.1002/0471667196.ESS2014]
  16. Friedman J, 2010, J STAT SOFTW, V33, P1, DOI 10.18637/jss.v033.i01
  17. Friedman S, 2001, IND REL RES, P1, DOI 10.1097/00054725-200102000-00001
  18. Galna B, 2013, GAIT POSTURE, V38, P790, DOI 10.1016/j.gaitpost.2013.03.024
  19. Gill DJ, 2008, MOVEMENT DISORD, V23, P1043, DOI 10.1002/mds.22017
  20. Hendershott TR, 2017, PARKINSONISM RELAT D, V38, P31, DOI 10.1016/j.parkreldis.2017.02.008
  21. Herman T, 2009, GAIT POSTURE, V29, P237, DOI 10.1016/j.gaitpost.2008.08.013
  22. HOEHN MM, 1967, NEUROLOGY, V17, P427, DOI 10.1212/WNL.17.5.427
  23. Hoops S, 2009, NEUROLOGY, V73, P1738, DOI 10.1212/WNL.0b013e3181c34b47
  24. HUGHES AJ, 1992, J NEUROL NEUROSUR PS, V55, P181, DOI 10.1136/jnnp.55.3.181
  25. Kelly VE, 2015, PARKINSONISM RELAT D, V21, P692, DOI 10.1016/j.parkreldis.2015.04.002
  26. Keus SHJ, 2009, PARKINSONISM RELAT D, V15, P263, DOI 10.1016/j.parkreldis.2008.06.003
  27. Kim Seung Min, 2018, Dement Neurocogn Disord, V17, P57, DOI 10.12779/dnd.2018.17.2.57
  28. Kletzel SL, 2017, PARKINSONISM RELAT D, V37, P58, DOI 10.1016/j.parkreldis.2017.01.012
  29. Lamont RM, 2017, GAIT POSTURE, V55, P62, DOI 10.1016/j.gaitpost.2017.04.005
  30. Maidan I, 2016, NEUROREHAB NEURAL RE, V30, P963, DOI 10.1177/1545968316650426
  31. MCCULLAGH P, 1980, J ROY STAT SOC B MET, V42, P109
  32. Mirelman A, 2017, BRAIN COGNITION, V115, P41, DOI 10.1016/j.bandc.2017.04.002
  33. Montero-Odasso M, 2014, J GERONTOL A-BIOL, V69, P1415, DOI 10.1093/gerona/glu155
  34. Morris R, 2017, J GERONTOL A-BIOL, V72, P1656, DOI 10.1093/gerona/glx071
  35. Nasreddine ZS, 2005, J AM GERIATR SOC, V53, P695, DOI 10.1111/j.1532-5415.2005.53221.x
  36. Pantall A, 2018, FRONT NEUROL, V9, DOI 10.3389/fneur.2018.01044
  37. Patla AE, 1999, J AGING PHYS ACTIV, V7, P7, DOI 10.1123/japa.7.1.7
  38. Pieruccini-Faria F, 2014, BRAIN COGNITION, V87, P76, DOI 10.1016/j.bandc.2014.03.005
  39. Postuma RB, 2012, MOVEMENT DISORD, V27, P617, DOI 10.1002/mds.24996
  40. Rochester L, 2017, NEUROLOGY, V88, P1501, DOI 10.1212/WNL.0000000000003840
  41. Schneider JS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0123231
  42. Shumway-Cook A, 2015, PHYS THER, V95, P864, DOI 10.2522/ptj.20140047
  43. Skorvanek M, 2018, MOVEMENT DISORD, V33, P208, DOI 10.1002/mds.27233
  44. Stegemoller EL, 2012, ARCH PHYS MED REHAB, V93, P703, DOI 10.1016/j.apmr.2011.11.004
  45. Tumas Vitor, 2016, Dement. neuropsychol., V10, P333, DOI 10.1590/s1980-5764-2016dn1004013
  46. Vogel Sally J, 2015, Alzheimers Dement (Amst), V1, P289, DOI 10.1016/j.dadm.2015.05.002
  47. Yogev G, 2005, EUR J NEUROSCI, V22, P1248, DOI 10.1111/j.1460-9568.2005.04298.x
  48. Yogev-Seligmann G, 2008, MOVEMENT DISORD, V23, P329, DOI 10.1002/mds.21720
  49. Zou H, 2005, J R STAT SOC B, V67, P301, DOI 10.1111/j.1467-9868.2005.00503.x