Evidence map›Paper›PMID 30310747›Full record

ArticlePeerJ2018

Effects of knee extension with different speeds of movement on muscle and cerebral oxygenation.

Damiano Formenti, David Perpetuini, Pierpaolo Iodice, Daniela Cardone, Giovanni Michielon, Raffaele Scurati, Giampietro Alberti, Arcangelo Merla

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Functional and/or structural brain changes in response to resistance exercises and resistance training lead to cognitive improvements - a systematic review.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2019
    Article
  13. Review
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

8 authors at 3 institutions in 2 countries.

Damiano FormentiDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.
David PerpetuiniDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Pierpaolo IodiceInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
Daniela CardoneDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Giovanni MichielonDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.
Raffaele ScuratiDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.
Giampietro AlbertiDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.
Arcangelo MerlaDepartment of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
University of Milan · ITUniversity of Chieti-Pescara · ITUniversité de Rouen Normandie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the mechanisms responsible for enhancing muscular hypertrophy is the high metabolic stress associated with a reduced muscular oxygenation occurring during exercise, which can be achieved by reducing the speed of movement. Studies have tested that lowered muscle oxygenation artificially induced by an inflatable cuff, could provoke changes in prefrontal cortex oxygenation, hence, to central fatigue. It was hypothesized that (1) exercising with a slow speed of movement would result in greater increase in cerebral and greater decrease in muscle oxygenation compared with exercises of faster speed and (2) the amount of oxygenation increase in the ipsilateral prefrontal cortex would be lower than the contralateral one.

methodsAn ISS Imagent frequency domain near infrared spectroscopy (NIRS) system was used to quantify oxygenation changes in the vastus lateralis muscle and prefrontal cortex (contra- and ipsilateral) during unilateral resistance exercises with different speeds of movement to voluntary fatigue. After one maximal repetition (1RM) test, eight subjects performed three sets of unilateral knee extensions (∼50% of 1RM), separated by 2 min rest periods, following the pace of 1 s, 3 s and 5 s for both concentric and eccentric phases, in a random order, during separate sessions. The amount of change for NIRS parameters for muscle (ΔHb: deoxyhemoglobin, ΔHbO: oxyhemoglobin, ΔHbT: total hemoglobin, ΔStO

resultsExercising with slow speed of movement was associated to larger muscle deoxygenation than normal speed of movement, as revealed by significant interaction (set × condition) for ΔHb ( DISCUSSION: These findings provided evidence that speed of movement influences the amount of muscle oxygenation. Since the lack of oxygen in muscle is associated to increased metabolic stress, manipulating the speed of movement may be useful in planning resistance-training programs. Moreover, consistent oxygenation increases in both right and left prefrontal lobes were found, suggesting a complementary interaction between the ipsi- and contralateral prefrontal cortex, which also seems related to fatigue.

Indexed as

FatigueNear infrared spectroscopyNIRSRepetition durationResistance exerciseStrengthStrength trainingTissue oxygenation

Identifiers

PMID30310747
PMCPMC6173162
OpenAlexW2895694440

What OpenQuestion 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 OpenQuestion graph.