ArticleBasic and clinical neuroscience2025
Reliability of Center of Pressure Measures in Chronic Stroke Survivors: Influence of Motor and Cognitive Dual-tasking.
Article in Basic and clinical neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Reliable balance measures are crucial for effective stroke rehabilitation. This study examines the between-day and within-day reliabilities of the center of pressure (CoP) measures in chronic stroke survivors in different standing positions under the influence of motor and cognitive dual-tasking. Methods: Sixteen people (49.31±15.5 years, 5 females) with chronic stroke were assessed in two sessions, 48 hours apart. Participants completed three balance control conditions: Single-task, motor dual-task, and cognitive dual-task. They performed three trials of open-eye quiet standing and semi-tandem standing. Three trials of closed-eye quiet standing were conducted in the single-task condition. A 2-way random model of the intraclass correlation coefficient (ICC), standard error of measurement (SEM), and minimal detectable change (MDC) were calculated for CoP mean velocity, anterior-posterior (AP) and medial-lateral (ML) mean velocity, the standard deviation (SD) of AP and ML velocity, and sway area. Results: Within-day ICC values were higher than between-day values (ICC: 0.78-0.96). Mean velocity and Mean±SD of velocity in the AP direction showed the highest relative and absolute reliabilities in an open-eye quiet standing position (ICC: 0.82-0.92, SEM: 0.67-1.24). Dual-tasking could increase the reliability of the CoP measures, except for the sway area (ICC: 0.53-0.93 changed to 0.84-0.96). MDCs ranged from 1.03 to 7.77 mm/s for velocity-based variables. Conclusion: Assessing the postural control system during dual-task conditions provides more reliable CoP measures, especially in a semi-tandem standing position. These findings can provide clinicians with valuable insights into detecting specific balance problems that post-stroke individuals encounter.
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