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dc.contributor.authorSiengsukon, Catherine F.
dc.contributor.authorAl-Dughmi, Mayis
dc.contributor.authorAl-Sharman, Alham Jehad
dc.contributor.authorStevens, Suzanne
dc.date.accessioned2016-02-12T21:36:38Z
dc.date.available2016-02-12T21:36:38Z
dc.date.issued2015-10-30
dc.identifier.citationSiengsukon, Catherine, Mayis Al-Dughmi, Alham Al-Sharman, and Suzanne Stevens. "Sleep Parameters, Functional Status, and Time Post-Stroke Are Associated with Offline Motor Skill Learning in People with Chronic Stroke." Frontiers in Neurology Front. Neurol. 6 (2015): n. pag. http://dx.doi.org/10.3389/fneur.2015.00225en_US
dc.identifier.urihttp://hdl.handle.net/1808/20039
dc.descriptionA grant from the One-University Open Access Fund at the University of Kansas was used to defray the author’s publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.
dc.description.abstractBackground: 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.

Methods: 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.

Results: 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.

Conclusion: 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.
en_US
dc.publisherFrontiersen_US
dc.rightsCopyright ©2015 Siengsukon, Al-Dughmi, Al-Sharman and Stevens. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSleepen_US
dc.subjectChronic strokeen_US
dc.subjectMotor learningen_US
dc.subjectOfflineen_US
dc.subjectFunctional statusen_US
dc.titleSleep parameters, functional status, and time post-stroke are associated with offline motor skill learning in people with chronic strokeen_US
dc.typeArticle
kusw.kuauthorSiengsukon, Catherine
kusw.kudepartmentPTRSen_US
kusw.oastatusfullparticipation
dc.identifier.doi10.3389/fneur.2015.00225
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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Copyright ©2015 Siengsukon, Al-Dughmi, Al-Sharman and Stevens. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Except where otherwise noted, this item's license is described as: Copyright ©2015 Siengsukon, Al-Dughmi, Al-Sharman and Stevens. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.