Evidence map›Paper›PMID 23197454›Full record

ArticleJournal of neurophysiology2013

Corticospinal excitability is enhanced after visuomotor adaptation and depends on learning rather than performance or error.

Hamid F Bagce, Soha Saleh, Sergei V Adamovich, John W Krakauer, Eugene Tunik

Registry-linked trialAbstract read
In one paragraph

Article in Journal of neurophysiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01072461 (Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual Environments), which is not on this map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.6field-weighted citation impact, top 17% 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.

NCT01072461 phase1completednot on this map

Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual Environments

TypeinterventionalSponsorNew Jersey Institute of TechnologyRan2009 to 2015Enrolled55ConditionsCerebrovascular Accident, Hemiparesis, HemiplegiaArmsHAS Training, HAT training, Bimanual Training
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Acute pain impairs retention of locomotor learning.Journal of neurophysiology · 2024
    Trial
  4. Safety and feasibility of transcranial direct current stimulation stratified by corticospinal organization in children with hemiparesis.European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society · 2023
    Trial
  5. Trial
  6. Two distinct interneuron circuits in human motor cortex are linked to different subsets of physiological and behavioral plasticity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
    Trial
  7. Article
  8. Review
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  11. Hebbian priming of human motor learning.Nature communications · 2024
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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

5 authors at 2 institutions in 1 country.

Hamid F BagceDepartment of Rehabilitation and Movement Science, School of Health Related Professions, University of Medicine and Dentistry of New Jersey, Newark, New Jersey 07107, USA.
Soha Saleh
Sergei V Adamovich
John W Krakauer
Eugene Tunik
New Jersey Institute of Technology · USJohns Hopkins Medicine · US

Funding

Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual EnvironmentsR01HD058301 · NICHD · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI ADAMOVICH, SERGEI V, MERIANS, ALMA S · 2009 to 2021
$4.7M
Functional Anatomy of Visuomotor Learning & Motor MemoryR01NS052804 · NINDS · JOHNS HOPKINS UNIVERSITY · PI KRAKAUER, JOHN WALTER · 2007 to 2011
$1.6M
Visual Augmentation Through Virtual Reality to Rehabiliate the Hand after StrokeK01HD059983 · NICHD · UNIV OF MED/ DENT OF NJ-SCH/HLTH REL PRO · PI TUNIK, EUGENE · 2009 to 2013
$673k
Augmenting Neuroplasticity through Visual and Proprioceptive FeedbackF30NS071945 · NINDS · UNIV OF MED/ DENT OF NJ-SCH/HLTH REL PRO · PI BAGCE, HAMID FRANZ · 2010 to 2012
$82k
NICHD NIH HHS K01 HD-059983NICHD NIH HHS K01 HD059983NICHD NIH HHS R01 HD-0583NICHD NIH HHS R01 HD058301NINDS NIH HHS F30 NS-071945NINDS NIH HHS R01 NS-052804
6 · The paper itself

Abstract

We used adaptation to high and low gains in a virtual reality setup of the hand to test competing hypotheses about the excitability changes that accompany motor learning. Excitability was assayed through changes in amplitude of motor evoked potentials (MEPs) in relevant hand muscles elicited with single-pulse transcranial magnetic stimulation (TMS). One hypothesis is that MEPs will either increase or decrease, directly reflecting the effect of low or high gain on motor output. The alternative hypothesis is that MEP changes are not sign dependent but rather serve as a marker of visuomotor learning, independent of performance or visual-to-motor mismatch (i.e., error). Subjects were required to make flexion movements of a virtual forefinger to visual targets. A gain of 1 meant that the excursions of their real finger and virtual finger matched. A gain of 0.25 ("low gain") indicated a 75% reduction in visual versus real finger displacement, a gain of 1.75 ("high gain") the opposite. MEP increases (>40%) were noted in the tonically activated task-relevant agonist muscle for both high- and low-gain perturbations after adaptation reached asymptote with kinematics matched to veridical levels. Conversely, only small changes in excitability occurred in a control task of pseudorandom gains that required adjustments to large errors but in which learning could not accumulate. We conclude that changes in corticospinal excitability are related to learning rather than performance or error.

Indexed as

Adaptation, PhysiologicalLearningPsychomotor PerformanceAdultEvoked Potentials, MotorFemaleFingersHumansMaleMotor CortexMuscle, SkeletalPyramidal TractsTranscranial Magnetic StimulationVisual Perception

Identifiers

PMID23197454
PMCPMC3569119
OpenAlexW2087165201

What OpenQuestion holds

Textmetadata
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.