Dynamical structure of center-of-pressure trajectories in patients recovering from stroke
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In a recent study, De Haart et al. (Arch Phys Med Rehabil 85:886-895, 2004) investigated the recovery of balance in stroke patients using traditional analyses of center-of-pressure (COP) trajectories to assess the effects of health status, rehabilitation, and task conditions like standing with eyes open or closed and standing while performing a cognitive dual task. To unravel the underlying control processes, we reanalyzed these data in terms of stochastic dynamics using more advanced analyses. Dimensionality, local stability, regularity, and scaling behavior of COP trajectories were determined and compared with shuffled and phase-randomized surrogate data. The presence of long-range correlations discarded the possibility that the COP trajectories were purely random. Compared to the healthy controls, the COP trajectories of the stroke patients were characterized by increased dimensionality and instability, but greater regularity in the frontal plane. These findings were taken to imply that the stroke patients actively (i.e., cognitively) coped with the stroke-induced impairment of posture, as reflected in the increased regularity and decreased local stability, by recruiting additional control processes (i.e., more degrees of freedom) and/or by tightening the present control structure while releasing non-essential degrees of freedom from postural control. In the course of rehabilitation, dimensionality stayed fairly constant, whereas local stability increased and regularity decreased. The progressively less regular COP trajectories were interpreted to indicate a reduction of cognitive involvement in postural control as recovery from stroke progressed. Consistent with this interpretation, the dual task condition resulted in less regular COP trajectories of greater dimensionality, reflecting a task-related decrease of active, cognitive contributions to postural control. In comparison with conventional posturography, our results show a clear surplus value of dynamical measures in studying postural control.
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- Authors
- Roerdink, M., De Haart, M., Daffertshofer, A., Donker, S. F., Geurts, A. C. H., & Beek, P. J.
- Affiliations
- Vrije Universiteit Amsterdam (NL)
- Radboud University Medical Center (NL)
- Corresponding author
- Roerdink, M.
- Venue
- Experimental Brain Research
- Published
- 2006-05-10
- Volume
- 174
- Issue
- 2
- Pages
- 256-269
- ISSN
- 0014-4819 (ISSN-L)
- 1432-1106
- OpenAlex
- W2108919722
- Cited by
- 302
- References
- 79
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 5 · 2023: 17 · 2022: 18 · 2021: 17 · 2020: 15 · 2019: 23 · 2018: 14 · 2017: 24 · 2016: 13 · 2015: 19 · 2014: 23 · 2013: 21 · 2012: 10
- FWCI
- 28.18
- Type
- journal article
- Language
- en
- Open access
- green
- research.vu.nl
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Experimental Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- ZonMw
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- stroke recovery, center of pressure trajectory, postural control, stochastic dynamics, long-range correlations, dimensionality, local stability, regularity, cognitive dual-task, posturography, rehabilitation
- MeSH terms
- Stroke Rehabilitation, Aged, Central Nervous System, Postural Balance, Humans, Middle Aged, Models, Neurological, Physical Fitness, Pressure, Stochastic Processes, Nonlinear Dynamics, Recovery of Function, Stroke
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