Evidence map›Paper›PMID 28302158›Full record

ArticleJournal of neuroengineering and rehabilitation2017

Nonlinear mixed-effects model reveals a distinction between learning and performance in intensive reach training post-stroke.

Hyeshin Park, Nicolas Schweighofer

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  5. Dissociating motor learning from recovery in exoskeleton training post-stroke.Journal of neuroengineering and rehabilitation · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hyeshin ParkBiokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, USA. hyeshinp@usc.edu.
Nicolas SchweighoferBiokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, USA.

Funding

Optimizing the Dose of Rehabilitation After StrokeR01HD065438 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHWEIGHOFER, NICOLAS, WINSTEIN, CAROLEE J · 2011 to 2015
$1.9M
NICHD NIH HHS R01 HD065438
6 · The paper itself

Abstract

backgroundWe recently showed that individuals with chronic stroke who completed two sessions of intensive unassisted arm reach training exhibited improvements in movement times up to one month post-training. Here, we study whether changes in movement times during training can predict long-term changes.

methodsSixteen participants with chronic stroke and ten non-disabled age-matched participants performed two sessions of reach training with 600 movements per session. Movement time data during training were fitted to a nonlinear mixed-effects model consisting of a decreasing exponential term to model improvements of performance due to learning and an increasing linear term to model worsening of performance due to activity-dependent fatigability and/or other factors unrelated to learning.

resultsFor non-disabled age-matched participants, movement times gradually decreased overall during training and overall changes in movement times during training predicted long-term changes. In contrast, for participants post-stroke, movement times often worsened near the end of training. As a result, overall changes in movement times during training did not predict long-term changes in movement times in the stroke group. However, improvements in movement times due to training, as estimated by the exponential term of the model, predicted long-term changes in movement times.

conclusionParticipants post-stroke showed a distinction between learning and performance in unassisted intensive arm reach training. Despite worsening of performance in later trials, extended training was beneficial for long-term gains.

Indexed as

LearningMovementNonlinear DynamicsStroke RehabilitationChronic DiseaseFemaleHumansMaleMiddle AgedStrokeActivity-dependent fatigabilityLearningNonlinear statistical mixed-effects modelPerformancePrediction of long-term gainsReach trainingStroke rehabilitation

Identifiers

PMID28302158
PMCPMC5356348

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.