Comparative Analysis of Balance Control Strategies and Center of Pressure Complexity in Parkinson's Disease and Healthy Individuals

Document Type : Original research papers

Authors

1 Department of Motor Behavior, Hamedan Branch, Islamic Azad University, Hamedan, Iran.

2 Department of Sport Biomechanics, Hamedan Branch, Islamic Azad University, Hamedan, Iran.

3 Department of Motor Behavior, Faculty of Humanities, Hamedan Branch, Islamic Azad University, Hamedan, Iran.

4 Biomechanics Research Center, Hamedan Branch, Islamic Azad University, Hamedan, Iran.

Abstract

Introduction: Balance impairment is a common and debilitating feature of Parkinson’s disease (PD), which can lead to falls and reduced mobility. Understanding the balance variables and postural control strategies in PD is important for developing effective interventions to improve balance and prevent falls in this population. However, further research is needed on the strategies used by these patients to control balance and which balance variables are more sensitive to PD. The objective of this study was to compare balance variables and postural control strategies in individuals with PD and a control group.

Materials and Methods: Using the G*Power software, the sample size was determined, and participants were selected purposefully and conveniently, resulting in fifteen patients with PD and seventeen neurologically healthy individuals participating in this study. Postural control was assessed using the Kistler force platform. Participants completed four standing trials on different surfaces with eyes open or closed. CoP data were recorded for 20 seconds at 1000 Hz. Variables in AP and ML directions were evaluated: spatial (CoP displacement, sway, RMS), quantitative (acceleration, velocity), and complexity (sample entropy).

Results: The results showed that manipulation of the base of support (BoS) influenced spatial variables and CoP complexity in both groups (p<0.05). Quantitative variables in the sit-to-stand (STS) test were higher in the control group than in the PD group (p<0.05). Complexity was higher in the PD group than in the control group in all conditions (p<0.05).

Conclusions: According to the findings, the increased irregularity and greater sway observed in various tests within the PD group indicate the use of conscious strategies in controlling posture among these individuals. Consequently, they exhibit less adaptability to environmental changes and are likely to have a higher risk of falls in unstable conditions. Furthermore, complexity variables in both types of balance tests, STS (Sit-to-Stand), and quantitative variables in the STS test are influenced by PD. In balance tests, spatial variables showed greater sensitivity to changes in BoS conditions, while visual variables were more sensitive compared to others.

Keywords

Main Subjects


  • Ileșan RR, Cordoș C-G, Mihăilă L-I, Fleșar R, Popescu A-S, Perju-Dumbravă L, et al. Proof of concept in artificial-intelligence-based wearable gait monitoring for Parkinson's disease management optimization. Biosensors. 2022;12(4):189. https://doi.org/10.3390/bios12040189
  • Ferraris C, Votta V, Nerino R, Chimienti A, Priano L, Mauro A. At-home assessment of postural stability in Parkinson's disease: a vision-based approach. Journal of Ambient Intelligence and Humanized Computing. 2023:1-14. https://doi.org/10.1007/s12652-023-04553-5
  • Nallegowda M, Singh U, Handa G, Khanna M, Wadhwa S, Yadav SL, et al. Role of sensory input and muscle strength in maintenance of balance, gait, and posture in Parkinson's disease: a pilot study. American Journal of Physical Medicine and Rehabilitation. 2004;83(12):898-908. https://doi.org/10.1097/01.PHM.0000146505.18244.43
  • Allen N, Schwarzel A, Canning C. Recurrent falls in Parkinson's disease: a systematic review. Parkinsons Disease. 2013;2013. https://doi.org/10.1155/2013/906274
  • Moretto GF, Santinelli FB, Penedo T, Mochizuki L, Rinaldi NM, Barbieri FA. Prolonged standing task affects adaptability of postural control in people with Parkinson's disease. Neurorehabilitation and Neural Repair. 2021;35(1):58-67. https://doi.org/10.1177/1545968320971739
  • Harvey J, Reijnders RA, Cavill R, Duits A, Köhler S, Eijssen L, et al. Machine learning-based prediction of cognitive outcomes in de novo Parkinson's disease. NPJ Parkinson's Disease. 2022;8(1):150. https://doi.org/10.1038/s41531-022-00409-5
  • Bekkers EM, Dockx K, Heremans E, Vercruysse S, Verschueren SM, Mirelman A, et al. The contribution of proprioceptive information to postural control in elderly and patients with Parkinson's disease with a history of falls. Frontiers in Human Neuroscience. 2014;8:939. https://doi.org/10.3389/fnhum.2014.00939
  • Masani K, Vette AH, Abe MO, Nakazawa K. Center of pressure velocity reflects body acceleration rather than body velocity during quiet standing. Gait & Posture. 2014;39(3):946-52. https://doi.org/10.1016/j.gaitpost.2013.12.008
  • Mitra S, Knight A, Munn A. Divergent effects of cognitive load on quiet stance and task-linked postural coordination. Journal of Experimental Psychology: Human Perception and Performance. 2013;39(2):323. https://doi.org/10.1037/a0030588
  • Era P, Sainio P, Koskinen S, Haavisto P, Vaara M, Aromaa A. Postural balance in a random sample of 7,979 subjects aged 30 years and over. Gerontology. 2006;52(4):204-13. https://doi.org/10.1159/000093652
  • Pérennou D. Weight bearing asymmetry in standing hemiparetic patients. Journal of Neurology, Neurosurgery & Psychiatry. 2005;76(5):621-. https://doi.org/10.1136/jnnp.2004.050468
  • Mauritz K, Dichgans J, Hufschmidt A. Quantitative analysis of stance in late cortical cerebellar atrophy of the anterior lobe and other forms of cerebellar ataxia. Brain: A Journal of Neurology. 1979;102(3):461-82. https://doi.org/10.1093/brain/102.3.461
  • Velázquez‐Pérez L, Rodriguez‐Labrada R, González‐Garcés Y, Arrufat‐Pie E, Torres‐Vega R, Medrano‐Montero J, et al. Prodromal spinocerebellar ataxia type 2 subjects have quantifiable gait and postural sway deficits. Movement Disorders. 2021;36(2):471-80. https://doi.org/10.1002/mds.28343
  • Rocchi L, Chiari L, Horak F. Effects of deep brain stimulation and levodopa on postural sway in Parkinson's disease. Journal of Neurology, Neurosurgery & Psychiatry. 2002;73(3):267-74. https://doi.org/10.1136/jnnp.73.3.267
  • Geroin C, Gandolfi M, Maddalena I, Smania N, Tinazzi M. Do upper and lower camptocormias affect gait and postural control in patients with Parkinson's disease? Parkinson's Disease. 2019;2019. https://doi.org/10.1155/2019/9026890
  • Morrison S, Moxey J, Reilly N, Russell DM, Thomas KM, Grunsfeld AA. The relation between falls risk and movement variability in Parkinson's disease. Experimental Brain Research. 2021;239(7):2077-87. https://doi.org/10.1007/s00221-021-06113-9
  • Smith BA, Jacobs JV, Horak FB. Effects of amplitude cueing on postural responses and preparatory cortical activity of people with Parkinson's disease. Journal of Neurologic Physical Therapy. 2014;38(4):207. https://doi.org/10.1097/NPT.0000000000000058
  • Dusing SC, Izzo TA, Thacker LR, Galloway JC. Postural complexity differs between infant born full term and preterm. Early Human Development. 2014;90(3):149-56. https://doi.org/10.1016/j.earlhumdev.2014.01.006
  • de Carvalho Costa E, Santinelli FB, Moretto GF, Figueiredo C, von Ah Morano AE, Barela JA, et al. A multiple domain postural control assessment in Parkinson's disease: traditional, non-linear, and rambling-trembling analysis. Gait & Posture. 2022;97:130-6. https://doi.org/10.1016/j.gaitpost.2022.07.250
  • Stergiou N, Decker LM. Human movement variability, nonlinear dynamics, and pathology. Human Movement Science. 2011;30(5):869-88. https://doi.org/10.1016/j.humov.2011.06.002
  • Pierce SR, Paremski AC, Skorup J, Stergiou N, Senderling B, Prosser LA. Linear and nonlinear measures of postural control in a toddler with cerebral palsy. Pediatric Physical Therapy. 2020;32(1):80-3. https://doi.org/10.1097/PEP.0000000000000669
  • Lipsitz LA, Goldberger AL. Loss of complexity and aging. JAMA. 1992;267(13):1806-9. https://doi.org/10.1001/jama.1992.03480130122036
  • Montesinos L, Castaldo R, Pecchia L. On the use of approximate entropy and sample entropy with centre of pressure time-series. Journal of NeuroEngineering and Rehabilitation. 2018;15(1):1-15. https://doi.org/10.1186/s12984-018-0465-9
  • Błaszczyk J, Orawiec R, Duda-Kłodowska D, Opala G. Assessment of postural instability in Parkinson's disease. Experimental Brain Research. 2007;183:107-14. https://doi.org/10.1007/s00221-007-1024-y
  • Doná F, Aquino C, Gazzola J, Borges V, Silva SCA, Ganança F, et al. Changes in postural control in Parkinson's disease. Physiotherapy. 2016;102(3):272-9. https://doi.org/10.1016/j.physio.2015.08.009
  • Stergiou N, Yu Y, Kyvelidou A. A perspective on human movement variability. Kinesiology Review. 2013;2(1):93-102. https://doi.org/10.1123/krj.2.1.93
  • Wang Y, Gao L, Yan H, Jin Z, Fang J, Qi L, et al. Efficacy of C-Mill gait training. Gait & Posture. 2022;91:79-85. https://doi.org/10.1016/j.gaitpost.2021.10.010
  • Hernandez ME, Snider J, Stevenson C, Cauwenberghs G, Poizner H. A correlation-based framework for postural control dynamics. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2015;24(5):551-61. https://doi.org/10.1109/TNSRE.2015.2436344
  • Majlesi M, Farahpour N, Azadian E, Amini M. Interventional proprioceptive training on balance and gait in deaf children. Research in Developmental Disabilities. 2014;35(12):3562-7. https://doi.org/10.1016/j.ridd.2014.09.001
  • Piątek-Krzywicka E, Borzucka D, Kuczyński M. Postural control through force plate measurements in AIS patients. Scientific Reports. 2022;12(1):13170. https://doi.org/10.1038/s41598-022-17597-y
  • Aylar MF, Dionisio VC, Jafarnezhadgero A. Center of mass strategies with restricted vision during sit-to-stand. Clinical Biomechanics. 2019;62:104-12. https://doi.org/10.1016/j.clinbiomech.2019.01.011
  • Montesinos L, Castaldo R, Pecchia L, editors. Selection of entropy-measure parameters for force plate-based human balance evaluation. World Congress on Medical Physics and Biomedical Engineering 2018. https://doi.org/10.1007/978-981-10-9038-7_59
  • Hansen C, Wei Q, Shieh J-S, Fourcade P, Isableu B, Majed L. Entropy measures and sway parameters in healthy adults. Frontiers in Human Neuroscience. 2017;11:206. https://doi.org/10.3389/fnhum.2017.00206
  • Delgado-Bonal A, Marshak A. Approximate entropy and sample entropy: tutorial. Entropy. 2019;21(6):541. https://doi.org/10.3390/e21060541
  • Montesinos-Silva L. Montesinos-Silva L. Ageing and sleep in human balance and falls: the role of wearable sensors and nonlinear signal analysis (Doctoral dissertation, University of Warwick). University of Warwick. 2019. https://wrap.warwick.ac.uk/id/eprint/137376/
  • Brown LA, Cooper SA, Doan JB, Dickin DC, Whishaw IQ, Pellis SM, et al. Sensory integration deficits in Parkinson's disease. Parkinsonism & Related Disorders. 2006;12(6):376-81. https://doi.org/10.1016/j.parkreldis.2006.03.004
  • Nasab AD, Azadian E, Majlesi M, Rezaie M. Manipulation of base of support in children with intellectual disability. Kinesiologia Slovenica. 2023;29(3). https://doi.org/10.52165/kinsi.29.3.75-86
  • Ghanbarzadeh A, Azadian E, Majlesi M, Jafarnezhadgero AA, Akrami M. Task demands and postural control across ages. Applied Sciences. 2022;12(1):113. https://doi.org/10.3390/app12010113
  • Doná F, Aquino C, Gazzola JM, Borges V, Silva SCA, Ganança FF, et al. Postural control in Parkinson's disease. Physiotherapy. 2016;102(3):272-9. https://doi.org/10.1016/j.physio.2015.08.009
  • Vervoort G, Bengevoord A, Strouwen C, Bekkers EM, Heremans E, Vandenberghe W, et al. Progression of postural control and gait deficits. Parkinsonism & Related Disorders. 2016;28:73-9. https://doi.org/10.1016/j.parkreldis.2016.04.029
  • Manor B, Costa MD, Hu K, Newton E, Starobinets O, Kang HG, et al. Physiological complexity and adaptability of older adults. Journal of Applied Physiology. 2010;109(6):1786-91. https://doi.org/10.1152/japplphysiol.00390.2010
  • Ueta K, Okada Y, Nakano H, Osumi M, Morioka S. Voluntary and automatic COP sway control. Journal of Motor Behavior. 2015;47(3):256-64. https://doi.org/10.1080/00222895.2014.974496