Evidence map›Paper›PMID 31898279›Full record

ArticleCerebellum (London, England)2020

Quantitative but Not Qualitative Performance Changes in Predictive Motor Timing as a Result of Overtraining.

Lenka Marková, Martin Bareš, Ovidiu V Lungu, Pavel Filip

Abstract read
PubMed Publisher
In one paragraph

Article in Cerebellum (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 60% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 4 countries.

Lenka MarkováFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Martin BarešFirst Department of Neurology, Faculty of Medicine, University Hospital of St. Anne and Masaryk University, Brno, Czech Republic.
Ovidiu V LunguDepartment of Psychiatry, Université de Montréal, Montréal, Canada.
Pavel FilipFirst Department of Neurology, Faculty of Medicine, University Hospital of St. Anne and Masaryk University, Brno, Czech Republic. pvlfilip@gmail.com.ORCID http://orcid.org/0000-0001-5656-5164
Masaryk University · CZCognitive Neuroimaging Lab · FRUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The possibilities of substantial long-term improvement of predictive timing might be sometimes seen as limited, with scanty information of neural substrates underlying the potential learning process. To address this issue, we have investigated the performance of 21 baseball professionals and 21 matched controls in a predictive motor timing task previously shown to engage the cerebellum. Baseball players, hypothesized as a model of overtraining of the prediction of future state of the surroundings, showed significantly higher quantitative performance than nonathletic controls, with a substantial part of the baseball players reaching levels far beyond the range observed in common population. Furthermore, the qualitative performance profile of baseball players under various conditions as target speed and acceleration modes did not differ from the profile of healthy controls. Our results suggest that regular exigent training has the potential to vastly improve predictive motor timing. Moreover, the quantitative but not qualitative difference in the performance profile allows us to hypothesize that the selective honing of the same cerebellar processes and networks as in non-trained individuals is the substrate for the quantitative performance improvement, without substantial engagement of further neural nodes.

Indexed as

AthletesAdultBaseballBrainExerciseHumansLearningMalePsychomotor PerformanceTime PerceptionCerebellar learningCerebellumOvertrainingPredictive motor timing

Identifiers

PMID31898279
OpenAlexW2998433145

What OpenQuestion holds

Textmetadata
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.