Evidence map›Paper›PMID 28642711›Full record

ArticleFrontiers in physiology2017

Weekly Time Course of Neuro-Muscular Adaptation to Intensive Strength Training.

Niklas Brown, Dieter Bubeck, Daniel F B Haeufle, Johannes Weickenmeier, Ellen Kuhl, Wilfried Alt, Syn Schmitt

Abstract read
In one paragraph

Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Long-Term Strength Adaptation: A 15-Year Analysis of Powerlifting Athletes.Journal of strength and conditioning research · 2020
    Article
  5. Article
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

7 authors.

Niklas BrownDepartment of Biomechanics and Sports Biology, Institute of Sports and Movement Science, University of StuttgartStuttgart, Germany.
Dieter BubeckDepartment of Biomechanics and Sports Biology, Institute of Sports and Movement Science, University of StuttgartStuttgart, Germany.
Daniel F B HaeufleMulti-Level Modeling in Motor Control and Rehabilitation Robotics, Hertie Institute for Clinical Brain Research, Eberhard-Karls Universität TübingenTübingen, Germany.
Johannes WeickenmeierDepartment of Mechanical Engineering, Stanford UniversityStanford, CA, United States.
Ellen KuhlDepartments of Mechanical Engineering and Bioengineering, Stanford UniversityStanford, CA, United States.
Wilfried AltDepartment of Biomechanics and Sports Biology, Institute of Sports and Movement Science, University of StuttgartStuttgart, Germany.
Syn SchmittSC SimTech-Stuttgart Centre for Simulation Sciences, University of StuttgartStuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detailed description of the time course of muscular adaptation is rarely found in literature. Thus, models of muscular adaptation are difficult to validate since no detailed data of adaptation are available. In this article, as an initial step toward a detailed description and analysis of muscular adaptation, we provide a case report of 8 weeks of intense strength training with two active, male participants. Muscular adaptations were analyzed on a morphological level with MRI scans of the right quadriceps muscle and the calculation of muscle volume, on a voluntary strength level by isometric voluntary contractions with doublet stimulation (interpolated twitch technique) and on a non-voluntary level by resting twitch torques. Further, training volume and isokinetic power were closely monitored during the training phase. Data were analyzed weekly for 1 week prior to training, pre-training, 8 weeks of training and 2 weeks of detraining (no strength training). Results show a very individual adaptation to the intense strength training protocol. While training volume and isokinetic power increased linearly during the training phase, resting twitch parameters decreased for both participants after the first week of training and stayed below baseline until de-training. Voluntary activation level showed an increase in the first 4 weeks of training, while maximum voluntary contraction showed only little increase compared to baseline. Muscle volume increased for both subjects. Especially training status seemed to influence the acute reaction to intense strength training. Fatigue had a major influence on performance and could only be overcome by one participant. The results give a first detailed insight into muscular adaptation to intense strength training on various levels, providing a basis of data for a validation of muscle fatigue and adaptation models.

Indexed as

interpolated twitchmodelingmuscle volumeresistance trainingsimulationvirtual gym

Identifiers

PMID28642711
PMCPMC5462902

What OpenQuestion holds

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Registered trials

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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.