Evidence map›Paper›PMID 24136129›Full record

ReviewCurrent opinion in neurology2013

The interaction between training and plasticity in the poststroke brain.

Steven R Zeiler, John W Krakauer

4 registry-linked trialsOpen access · greenAbstract readReview
In one paragraph

Review in Current opinion in neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 185 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed, 12 pooled it
20.2field-weighted citation impact, top 1% of its field
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.

NCT04123808 nawithdrawnnot on this mapstarted 2019, after this paper: background citation

Dosing Effects of an Upper Extremity Rehabilitation Program Using a Brain-Computer Interface Mediated Robotic Hand Orthosis for Chronic Stroke Patients: IpsiHand System

TypeinterventionalSponsorColumbia UniversityRan2019 to 2020Enrolled0ConditionsStroke, HemiparesisArmsIpsiHand Treatment
NCT04338971 nacompletednot on this mapstarted 2017, after this paper: background citation

Ipsihand Device Use in Stroke Patients to Assess Motor Recovery of the Upper Extremity and Functional Outcomes

TypeinterventionalSponsorNeurolutions, Inc.Ran2017 to 2020Enrolled24ConditionsStrokeArmsIpsiHand Therapy
NCT05571462 unknown statusnot on this mapstarted 2022, after this paper: background citation

Mobility and Activity Patterns in Hospitalised Patients With Severe Acquired Brain Injury Undergoing Rehabilitation. The MAP-study.

TypeobservationalSponsorChristian RiberholtRan2022 to 2024Enrolled100ConditionsBrain InjuriesArmsActivity monitor group
NCT06691880 nacompletednot on this mapstarted 2020, after this paper: background citation

Translating SMARTS 2: the Integration of Video Gaming Technology Into Traditional Rehabilitation

TypeinterventionalSponsorJohns Hopkins UniversityRan2020 to 2025Enrolled58ConditionsSubacute Stroke, Acute StrokeArmsMindPod Dolphin VGT, Bimanual Arm Trainer VGT
3 · Its place in the literature

Who cites it

185 citing papers in PubMed, 12 syntheses or guidelines pooled it, 396 citations in OpenAlex.

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  13. Energy Cost of Walking in Relation to Impairment and Functional Independence After Stroke: The Role of Walking Speed.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026
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125 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Steven R ZeileraDepartment of Neurology bDepartment of Neuroscience, Johns Hopkins University, Baltimore, Maryland, USA.
John W Krakauer
Johns Hopkins Hospital · USJohns Hopkins University · US

Funding

Understanding Motor Behavior After StrokeR01HD073147 · NICHD · JOHNS HOPKINS UNIVERSITY · PI CELNIK, PABLO ARIEL · 2012 to 2016
$1.7M
Functional Anatomy of Visuomotor Learning & Motor MemoryR01NS052804 · NINDS · JOHNS HOPKINS UNIVERSITY · PI KRAKAUER, JOHN WALTER · 2007 to 2011
$1.6M
The contributions of motor learning and inhibitory balance to stroke recoveryK08NS085033 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ZEILER, STEVEN R · 2013 to 2017
$951k
NICHD NIH HHS R01 HD073147NINDS NIH HHS K08 NS085033NINDS NIH HHS R01 NS052804NINDS NIH HHS R01 NS052804-05PHS HHS R01 12086264
6 · The paper itself

Abstract

purpose of reviewRecovery after stroke can occur either via reductions in impairment or through compensation. Studies in humans and nonhuman animal models show that most recovery from impairment occurs in the first 1-3 months after stroke as a result of both spontaneous reorganization and increased responsiveness to enriched environments and training. Improvement from impairment is attributable to a short-lived sensitive period of postischemic plasticity defined by unique genetic, molecular, physiological, and structural events. In contrast, compensation can occur at any time after stroke. Here, we address both the biology of the brain's postischemic sensitive period and the difficult question of what kind of training (task-specific vs. a stimulating environment for self-initiated exploration of various natural behaviors) best exploits this period. RECENT

findingsData suggest that three important variables determine the degree of motor recovery from impairment: the timing, intensity, and approach to training with respect to stroke onset; the unique postischemic plasticity milieu; and the extent of cortical reorganization. SUMMARY: Future work will need to further characterize the unique interaction between types of training and postischemic plasticity, and find ways to augment and prolong the sensitive period using pharmacological agents or noninvasive brain stimulation.

Indexed as

Stroke RehabilitationBrainGene Expression RegulationHumansMotor ActivityNeuronal PlasticityRecovery of FunctionStrokeTeaching

Identifiers

PMID24136129
PMCPMC4012223
OpenAlexW2041098393

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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 OpenQuestion graph.