Evidence map›Paper›PMID 29777133›Full record

ArticleScientific reports2018

Selective improvements in balancing associated with offline periods of spaced training.

Antonino Casabona, Maria Stella Valle, Carlo Cavallaro, Gabriele Castorina, Matteo Cioni

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Antonino CasabonaNeuro-Biomechanics Laboratory, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123, Catania, Italy.
Maria Stella ValleNeuro-Biomechanics Laboratory, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123, Catania, Italy. m.valle@unict.it.
Carlo CavallaroNeuro-Biomechanics Laboratory, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123, Catania, Italy.
Gabriele CastorinaNeuro-Biomechanics Laboratory, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123, Catania, Italy.
Matteo CioniNeuro-Biomechanics Laboratory, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123, Catania, Italy.
University of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Benefits from post-training memory processing have been observed in learning many procedural skills. Here, we show that appropriate offline periods produce a performance gain during learning to stand on a multiaxial balance board. The tilt angle and the area of sway motion of the board were much more reduced in participants performing a training spaced by an interval of one day with respect to participants executing the same amount of practice over a concentrated period. In particular, offline memory encoding was specifically associated with the motion along the anterior-posterior direction, the spatio-temporal dynamics, and the frequency contents of the board sway. Overall, quantification of spaced learning in a whole-body postural task reveals that offline memory processes enhance the performance by encoding single movement components. From a practical perspective, we believe that the amount of practice and the length of inter-session interval, adopted in this study, may provide objective insights to develop appropriate programs of postural training.

Indexed as

AdultHumansLearningMaleMemoryPostural BalancePsychomotor PerformanceTime FactorsYoung Adult

Identifiers

PMID29777133
PMCPMC5959909
OpenAlexW2804092225

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.