Evidence map›Paper›PMID 28668279›Full record

ArticleNeurobiology of learning and memory2017

The influence of high intensity exercise and the Val66Met polymorphism on circulating BDNF and locomotor learning.

Erin E Helm, Kathleen S Matt, Kenneth F Kirschner, Ryan T Pohlig, Dave Kohl, Darcy S Reisman

Abstract read
In one paragraph

Article in Neurobiology of learning and memory, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 13% 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.

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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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  16. Interaction Effect between Physical Activity and theInternational journal of environmental research and public health · 2022
    Article
  17. Review
  18. TheBrain sciences · 2020
    Review
  19. Article
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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

6 authors at 1 institution in 1 country.

Erin E HelmBiomechanics and Movement Science Program, University of Delaware, Newark DE, United States.
Kathleen S MattCollege of Health Sciences, University of Delaware, Newark, DE, United States.
Kenneth F KirschnerCollege of Health Sciences, University of Delaware, Newark, DE, United States.
Ryan T PohligBiostatistics Core Facility, University of Delaware, Newark, DE, United States.
Dave KohlChristiana Care, Newark, DE, United States.
Darcy S ReismanDepartment of Physical Therapy, University of Delaware, Newark, DE, United States; Biomechanics and Movement Science Program, University of Delaware, Newark DE, United States. Electronic address: dreisman@udel.edu.
University of Delaware · US

Funding

PT/PHD Predoctoral Training Program Diversity SupplementT32HD007490 · NICHD · UNIVERSITY OF DELAWARE · PI DARCY S. REISMAN · 1996 to 2026
$3.7M
Behavioral and Neurophysiologic Process of Locomotor Learning After StrokeR01HD078330 · NICHD · UNIVERSITY OF DELAWARE · PI REISMAN, DARCY S. · 2014 to 2025
$3.2M
Robotic Gait Training and Evaluation SystemS10RR028114 · NCRR · UNIVERSITY OF DELAWARE · PI HIGGINSON, JILL S · 2011 to 2011
$404k
NCRR NIH HHS S10 RR028114NICHD NIH HHS R01 HD078330NICHD NIH HHS T32 HD007490
6 · The paper itself

Abstract

Brain-derived neurotrophic factor (BDNF) has been directly related to exercise-enhanced motor performance in the neurologically injured animal model; however literature concerning the role of BDNF in the enhancement of motor learning in the human population is limited. Previous studies in healthy subjects have examined the relationship between intensity of an acute bout of exercise, increases in peripheral BDNF and motor learning of a simple isometric upper extremity task. The current study examined the role of high intensity exercise on upregulation of peripheral BDNF levels as well as the role of high intensity exercise in mediation of motor learning and retention of a novel locomotor task in neurologically intact adults. In addition, the impact of a single nucleotide polymorphism in the BDNF gene (Val66Met) in moderating the relationship between exercise and motor learning was explored. It was hypothesized that participation in high intensity exercise prior to practicing a novel walking task (split-belt treadmill walking) would elicit increases in peripheral BDNF as well as promote an increased rate and magnitude of within session learning and retention on a second day of exposure to the walking task. Within session learning and retention would be moderated by the presence or absence of Val66Met polymorphism. Fifty-four neurologically intact participants participated in two sessions of split-belt treadmill walking. Step length and limb phase were measured to assess learning of spatial and temporal parameters of walking. Serum BDNF was collected prior to and immediately following either high intensity exercise or 5min of quiet rest. The results demonstrated that high intensity exercise provides limited additional benefit to learning of a novel locomotor pattern in neurologically intact adults, despite increases in circulating BDNF. In addition, presence of a single nucleotide polymorphism on the BDNF gene did not moderate the magnitude of serum BDNF increases with high intensity exercise, nor did it moderate the relationship between high intensity exercise and locomotor learning.

Indexed as

ExerciseLocomotionMotor ActivityAdultBrain-Derived Neurotrophic FactorHumansLearningPolymorphism, Single NucleotideYoung AdultBDNF protein, humanBrain-Derived Neurotrophic FactorBrain-derived neurotrophic factorLocomotor learningMotor LearningSplit-belt treadmillVal66Met polymorphism

Identifiers

PMID28668279
PMCPMC5583008
OpenAlexW2733702614

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.