↓ Skip to main content

A robot-based behavioural task to quantify impairments in rapid motor decisions and actions after stroke

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, October 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
183 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A robot-based behavioural task to quantify impairments in rapid motor decisions and actions after stroke
Published in
Journal of NeuroEngineering and Rehabilitation, October 2016
DOI 10.1186/s12984-016-0201-2
Pubmed ID
Authors

Teige C. Bourke, Catherine R. Lowrey, Sean P. Dukelow, Stephen D. Bagg, Kathleen E. Norman, Stephen H. Scott

Abstract

Stroke can affect our ability to perform daily activities, although it can be difficult to identify the underlying functional impairment(s). Recent theories highlight the importance of sensory feedback in selecting future motor actions. This selection process can involve multiple processes to achieve a behavioural goal, including selective attention, feature/object recognition, and movement inhibition. These functions are often impaired after stroke, but existing clinical measures tend to explore these processes in isolation and without time constraints. We sought to characterize patterns of post-stroke impairments in a dynamic situation where individuals must identify and select spatial targets rapidly in a motor task engaging both arms. Impairments in generating rapid motor decisions and actions could guide functional rehabilitation targets, and identify potential of individuals to perform daily activities such as driving. Subjects were assessed in a robotic exoskeleton. Subjects used virtual paddles attached to their hands to hit away 200 virtual target objects falling towards them while avoiding 100 virtual distractors. The inclusion of distractor objects required subjects to rapidly assess objects located across the workspace and make motor decisions about which objects to hit. As many as 78 % of the 157 subjects with subacute stroke had impairments in individual global, spatial, temporal, or hand-specific task parameters relative to the 95 % performance bounds for 309 non-disabled control subjects. Subjects with stroke and neglect (Behavioural Inattention Test score <130; n = 28) were more often impaired in task parameters than other subjects with stroke. Approximately half of subjects with stroke hit proportionally more distractor objects than 95 % of controls, suggesting they had difficulty in attending to and selecting appropriate objects. This impairment was observed for affected and unaffected limbs including some whose motor performance was comparable to controls. The proportion of distractors hit also significantly correlated with the Montreal Cognitive Assessment scores for subjects with stroke (r s  < = - 0.48, P < 10(-9)). A simple robot-based task identified that many subjects with stroke have impairments in the rapid selection and generation of motor responses to task specific spatial goals in the workspace.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 182 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 45 25%
Researcher 24 13%
Student > Ph. D. Student 23 13%
Student > Bachelor 20 11%
Student > Doctoral Student 9 5%
Other 22 12%
Unknown 40 22%
Readers by discipline Count As %
Medicine and Dentistry 28 15%
Neuroscience 25 14%
Nursing and Health Professions 20 11%
Psychology 19 10%
Engineering 15 8%
Other 30 16%
Unknown 46 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 September 2022.
All research outputs
#6,595,160
of 23,330,477 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#405
of 1,305 outputs
Outputs of similar age
#100,104
of 321,520 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#5
of 13 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 321,520 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.