Literature DB >> 27789762

Motor Learning in Stroke: Trained Patients Are Not Equal to Untrained Patients With Less Impairment

Robert M Hardwick1, Vikram A Rajan1, Amy J Bastian1,2, John W Krakauer1, Pablo A Celnik1.   

Abstract

BACKGROUND AND
OBJECTIVE: Stroke rehabilitation assumes motor learning contributes to motor recovery, yet motor learning in stroke has received little systematic investigation. Here we aimed to illustrate that despite matching levels of performance on a task, a trained patient should not be considered equal to an untrained patient with less impairment.
METHODS: We examined motor learning in healthy control participants and groups of stroke survivors with mild-to-moderate or moderate-to-severe motor impairment. Participants performed a series of isometric contractions of the elbow flexors to navigate an on-screen cursor to different targets, and trained to perform this task over a 4-day period. The speed-accuracy trade-off function (SAF) was assessed for each group, controlling for differences in self-selected movement speeds between individuals.
RESULTS: The initial SAF for each group was proportional to their impairment. All groups were able to improve their performance through skill acquisition. Interestingly, training led the moderate-to-severe group to match the untrained (baseline) performance of the mild-to-moderate group, while the trained mild-to-moderate group matched the untrained (baseline) performance of the controls. Critically, this did not make the two groups equivalent; they differed in their capacity to improve beyond this matched performance level. Specifically, the trained groups had reached a plateau, while the untrained groups had not.
CONCLUSIONS: Despite matching levels of performance on a task, a trained patient is not equal to an untrained patient with less impairment. This has important implications for decisions both on the focus of rehabilitation efforts for chronic stroke, as well as for returning to work and other activities.

Entities:  

Keywords:  hemiparesis; motor activity; motor control; motor disorders; motor impairment; motor skills; motor skills disorders; speed-accuracy trade-off

Mesh:

Year:  2016        PMID: 27789762      PMCID: PMC5292612          DOI: 10.1177/1545968316675432

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  45 in total

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Authors:  Janine Reis; Heidi M Schambra; Leonardo G Cohen; Ethan R Buch; Brita Fritsch; Eric Zarahn; Pablo A Celnik; John W Krakauer
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3.  Reconnecting the dots after stroke.

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4.  Probing for hemispheric specialization for motor skill learning: a transcranial direct current stimulation study.

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Review 5.  Predicting and accelerating motor recovery after stroke.

Authors:  Cathy M Stinear; Winston D Byblow
Journal:  Curr Opin Neurol       Date:  2014-12       Impact factor: 5.710

6.  The Human Motor System Supports Sequence-Specific Representations over Multiple Training-Dependent Timescales.

Authors:  Nicholas F Wymbs; Scott T Grafton
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7.  Multimodal connectivity of motor learning-related dorsal premotor cortex.

Authors:  Robert M Hardwick; Elise Lesage; Claudia R Eickhoff; Mareike Clos; Peter Fox; Simon B Eickhoff
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Authors:  G I Turnbull; J Charteris; J C Wall
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Review 9.  A quantitative meta-analysis and review of motor learning in the human brain.

Authors:  Robert M Hardwick; Claudia Rottschy; R Chris Miall; Simon B Eickhoff
Journal:  Neuroimage       Date:  2012-11-27       Impact factor: 6.556

10.  Task-specific effect of transcranial direct current stimulation on motor learning.

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Journal:  Front Hum Neurosci       Date:  2013-07-01       Impact factor: 3.169

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  20 in total

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Authors:  Hisham Mohammed; Edmund R Hollis
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Review 2.  Corticospinal and spinal adaptations to motor skill and resistance training: Potential mechanisms and implications for motor rehabilitation and athletic development.

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Journal:  Eur J Appl Physiol       Date:  2021-01-02       Impact factor: 3.078

3.  Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable.

Authors:  Lara A Boyd; Kathryn S Hayward; Nick S Ward; Cathy M Stinear; Charlotte Rosso; Rebecca J Fisher; Alexandre R Carter; Alex P Leff; David A Copland; Leeanne M Carey; Leonardo G Cohen; D Michele Basso; Jane M Maguire; Steven C Cramer
Journal:  Int J Stroke       Date:  2017-07       Impact factor: 5.266

4.  Skill acquisition is enhanced by reducing trial-to-trial repetition.

Authors:  Lore W E Vleugels; Stephan P Swinnen; Robert M Hardwick
Journal:  J Neurophysiol       Date:  2020-02-12       Impact factor: 2.714

5.  Reciprocal intralimb transfer of skilled isometric force production.

Authors:  Vikram A Rajan; Robert M Hardwick; Pablo A Celnik
Journal:  J Neurophysiol       Date:  2019-05-01       Impact factor: 2.714

6.  There is plenty of room for motor learning at the bottom of the Fugl-Meyer: Acquisition of a novel bimanual wheelchair skill after chronic stroke using an unmasking technology.

Authors:  Yasemin Sarigul-Klijn; Joan Lobo-Prat; Brendan W Smith; Sage Thayer; Daniel Zondervan; Vicky Chan; Oliver Stoller; David J Reinkensmeyer
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7.  Age-related increases in reaction time result from slower preparation, not delayed initiation.

Authors:  Robert M Hardwick; Alexander D Forrence; M Gabriela Costello; Kathy Zackowski; Adrian M Haith
Journal:  J Neurophysiol       Date:  2022-07-13       Impact factor: 2.974

8.  Spasticity may obscure motor learning ability after stroke.

Authors:  Sandeep K Subramanian; Anatol G Feldman; Mindy F Levin
Journal:  J Neurophysiol       Date:  2017-09-13       Impact factor: 2.714

9.  Modeling Expected Reaching Error and Behaviors for Motor Adaptation.

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Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2019-07

10.  Dissociating motor learning from recovery in exoskeleton training post-stroke.

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Journal:  J Neuroeng Rehabil       Date:  2018-10-05       Impact factor: 4.262

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