Evidence map›Paper›PMID 34401778›Full record

ArticleSTAR protocols2021

A protocol to examine the learning effects of 'multisystem mapping' training combined with post-training sleep consolidation in beginning readers.

Felipe Pegado, Ana Raquel Torres, Janaina Weissheimer, Sidarta Ribeiro

Abstract read
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Felipe PegadoLaboratory of Cognitive Psychology, Institute for Language Communication and the Brain, CNRS and Aix-Marseille University- 3 place Victor Hugo, 13331 Marseille, France.
Ana Raquel TorresLaboratory of Memory, Sleep and Dreams, Brain Institute, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000, Campus Universitário, Lagoa Nova - 59078-970.
Janaina WeissheimerLaboratory of Memory, Sleep and Dreams, Brain Institute, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000, Campus Universitário, Lagoa Nova - 59078-970.
Sidarta RibeiroLaboratory of Memory, Sleep and Dreams, Brain Institute, Federal University of Rio Grande do Norte, Av. Senador Salgado Filho, 3000, Campus Universitário, Lagoa Nova - 59078-970.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have recently used randomized controlled trials to examine the impact of a short neuroscience-informed causal intervention using a targeted training to inhibit a deeply rooted visual mechanism (mirror invariance) that hinders literacy acquisition, combined with post-training sleep (for learning consolidation). Using this training protocol, we have shown unprecedented improvements in visual perception of letters, writing, and a two-fold increase in reading fluency in first graders. Here, we describe this ecologically valid school-based intervention protocol to probe inhibition of mirror invariance for letters, including the detailed training instructions, post-training sleep consolidation, as well as practical tips and potential adaptations to different school sizes. For complete details on the use and execution of this protocol, please refer to Torres et al., (2021).

Indexed as

ChildChild, PreschoolFemaleHumansInhibition, PsychologicalLearningLiteracyMaleMemory ConsolidationPattern Recognition, VisualRandomized Controlled Trials as TopicReadingSleepTeachingVisual PerceptionWritingBehaviorClinical ProtocolCognitive NeuroscienceNeuroscience

Identifiers

PMID34401778
PMCPMC8358473

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.