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Sleep Parameters, Functional Status, and Time Post-Stroke are Associated with Offline Motor Skill Learning in People with Chronic Stroke

Overview of attention for article published in Frontiers in Neurology, October 2015
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Title
Sleep Parameters, Functional Status, and Time Post-Stroke are Associated with Offline Motor Skill Learning in People with Chronic Stroke
Published in
Frontiers in Neurology, October 2015
DOI 10.3389/fneur.2015.00225
Pubmed ID
Authors

Catherine Siengsukon, Mayis Al-Dughmi, Alham Al-Sharman, Suzanne Stevens

Abstract

Mounting evidence demonstrates that individuals with stroke benefit from sleep to enhance learning of a motor task. While stage NREM2 sleep and REM sleep have been associated with offline motor skill learning in neurologically intact individuals, it remains unknown which sleep parameters or specific sleep stages are associated with offline motor skill learning in individuals with stroke. Twenty individuals with chronic stroke (>6 months following stroke) and 10 control participants slept for three consecutive nights in a sleep laboratory with polysomnography. Participants practiced a tracking task the morning before the third night and underwent a retention test the morning following the third night. Offline learning on the tracking task was assessed. Pearson's correlations assessed for associations between the magnitude of offline learning and sleep variables, age, upper-extremity motor function, stroke severity, depression, and time since stroke occurrence. Individuals with stroke performed with significantly less error on the tracking task following a night of sleep (p = 0.006) while the control participants did not (p = 0.816). Increased sleep efficiency (r = -0.285), less time spent in stage NREM3 sleep (r = 0.260), and more time spent in stage REM sleep (r = -0.266) were weakly-to-moderately associated with increased magnitude of offline motor learning. Furthermore, higher upper-extremity motor function (r = -0.400), lower stroke severity (r = 0.360), and less time since stroke occurrence (r = 0.311) were moderately associated with increased magnitude of offline motor learning. This study is the first study to provide insight into which sleep stages and individual characteristics may be associated with offline learning in people with stroke. Further research is needed to delineate which factors or combination of factors promote offline motor learning in people with neurologic injury to best promote motor recovery in these individuals.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 83 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 17%
Researcher 9 11%
Student > Bachelor 9 11%
Other 7 8%
Student > Postgraduate 6 7%
Other 19 23%
Unknown 20 24%
Readers by discipline Count As %
Medicine and Dentistry 19 23%
Neuroscience 12 14%
Nursing and Health Professions 11 13%
Psychology 6 7%
Agricultural and Biological Sciences 4 5%
Other 9 11%
Unknown 23 27%
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 12 February 2017.
All research outputs
#7,156,969
of 22,831,537 outputs
Outputs from Frontiers in Neurology
#4,468
of 11,711 outputs
Outputs of similar age
#91,209
of 284,596 outputs
Outputs of similar age from Frontiers in Neurology
#31
of 62 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 11,711 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 61% 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 284,596 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 62 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.