ArticleJournal of neuroengineering and rehabilitation2019
A postural unloading task to assess fast corrective responses in the upper limb following stroke.
Article in Journal of neuroengineering and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Cervical spinal cord stimulation disrupts proprioception yet improves voluntary arm reaching.bioRxiv : the preprint server for biology · 2026Article
- Article
- Quantitative assessment of dynamic movement reveals deficits due to hemiparetic stroke.Journal of neuroengineering and rehabilitation · 2025Article
- A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke.Journal of neuroengineering and rehabilitation · 2023Article
- High intra-task and low inter-task correlations of motor skills in humans creates an individualized behavioural pattern.Scientific reports · 2022Article
- Robotic tests for position sense and movement discrimination in the upper limb reveal that they each are highly reproducible but not correlated in healthy individuals.Journal of neuroengineering and rehabilitation · 2020Article
- Integrated robotics platform with haptic control differentiates subjects with Parkinson's disease from controls and quantifies the motor effects of levodopa.Journal of neuroengineering and rehabilitation · 2019Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundRobotic technologies to measure human behavior are emerging as a new approach to assess brain function. Recently, we developed a robot-based postural Load Task to assess corrective responses to mechanical disturbances to the arm and found impairments in many participants with stroke compared to a healthy cohort (Bourke et al, J NeuroEngineering Rehabil 12: 7, 2015). However, a striking feature was the large range and skewed distribution of healthy performance. This likely reflects the use of different strategies across the healthy control sample, making it difficult to identify impairments. Here, we developed an intuitive "Unload Task". We hypothesized this task would reduce healthy performance variability and improve the detection of impairment following stroke.
methodsPerformance on the Load and Unload Task in the KINARM exoskeleton robot was directly compared for healthy control (n = 107) and stroke (n = 31) participants. The goal was to keep a cursor representing the hand inside a virtual target and return "quickly and accurately" if the robot applied (or removed) an unexpected load to the arm (0.5-1.5 Nm). Several kinematic parameters quantified performance. Impairment was defined as performance outside the 95% of controls (corrected for age, sex and handedness). Task Scores were calculated using standardized parameter scores reflecting overall task performance.
resultsThe distribution of healthy control performance was smaller and less skewed for the Unload Task compared to the Load Task. Fewer task outliers (outside 99.9 percentile for controls) were removed from the Unload Task (3.7%) compared to the Load Task (7.4%) when developing normative models of performance. Critically, more participants with stroke failed the Unload Task based on Task Score with their affected arm (68%) compared to the Load Task (23%). More impairments were found at the parameter level for the Unload (median = 52%) compared to Load Task (median = 29%).
conclusionsThe Unload Task provides an improved approach to assess fast corrective responses of the arm. We found that corrective responses are impaired in persons living with stroke, often equally in both arms. Impairments in generating rapid motor corrections may place individuals at greater risk of falls when they move and interact in the environment.
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