Evidence map›Paper›PMID 38539650›Full record

ArticleBrain sciences2024

The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games-Results from 8 Years of Naturalistic Interventions.

Melina Vladisauskas, Gabriel O Paz, Verónica Nin, Jesús A Guillén, Laouen Belloli, Hernán Delgado, Martín A Miguel, Daniela Macario Cabral, Diego E Shalom, Anna Forés and 3 more

Abstract read
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  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

13 authors.

Melina VladisauskasLaboratorio de Neurociencia, Universidad Torcuato di Tella, Buenos Aires C1428BCW, Argentina.ORCID 0000-0002-7161-1648
Gabriel O PazLaboratorio de Neurociencia, Universidad Torcuato di Tella, Buenos Aires C1428BCW, Argentina.
Verónica NinCentro de Investigación Básica en Psicología, Facultad de Psicología, Universidad de la República, Montevideo 11200, Uruguay.ORCID 0000-0003-3162-1582
Jesús A GuillénCàtedra de Neuroeducació UB-EDU1st, Universitat de Barcelona, 08035 Barcelona, Spain.
Laouen BelloliConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ministerio de Ciencia, Tecnología e Innovación, Buenos Aires C1425FQD, Argentina.ORCID 0000-0002-4093-7135
Hernán DelgadoCentro de Investigación Básica en Psicología, Facultad de Psicología, Universidad de la República, Montevideo 11200, Uruguay.ORCID 0000-0002-5738-1516
Martín A MiguelConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ministerio de Ciencia, Tecnología e Innovación, Buenos Aires C1425FQD, Argentina.
Daniela Macario CabralLaboratorio de Neurociencia, Universidad Torcuato di Tella, Buenos Aires C1428BCW, Argentina.
Diego E ShalomUniversidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, Buenos Aires 1428, Argentina.
Anna ForésCàtedra de Neuroeducació UB-EDU1st, Universitat de Barcelona, 08035 Barcelona, Spain.
Alejandra CarboniCentro de Investigación Básica en Psicología, Facultad de Psicología, Universidad de la República, Montevideo 11200, Uruguay.
Diego Fernández-SlezakConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ministerio de Ciencia, Tecnología e Innovación, Buenos Aires C1425FQD, Argentina.
Andrea P GoldinLaboratorio de Neurociencia, Universidad Torcuato di Tella, Buenos Aires C1428BCW, Argentina.ORCID 0000-0002-6402-0890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mate Marote is an open-access cognitive training software aimed at children between 4 and 8 years old. It consists of a set of computerized games specifically tailored to train and evaluate Executive Functions (EF), a class of processes critical for purposeful, goal-directed behavior, including working memory, planning, flexibility, and inhibitory control. Since 2008, several studies were performed with this software at children's own schools in interventions supervised in-person by cognitive scientists. After 2015, we incorporated naturalistic, yet controlled, interventions with children's own teachers' help. The platform includes a battery of standardized tests, disguised as games, to assess children's EF. The main question that emerges is whether the results, obtained with these traditional tasks but conducted without the presence of researchers, are comparable to those widely reported in the literature, that were obtained in more supervised settings. In this study, we were able to replicate the expected difficulty and age effects in at least one of the analyzed dependent variables of each employed test. We also report important discrepancies between the expected and the observed response time patterns, specifically for time-constrained tasks. We hereby discuss the benefits and setbacks of a new possible strategy for this type of assessment in naturalistic settings. We conclude that this battery of established EF tasks adapted for its remote usage is appropriate to measure the expected mental processes in naturalistic settings, enriching opportunities to upscale cognitive training interventions at schools. These types of tools can constitute a concerted strategy to bring together educational neuroscience research and real-life practice.

Indexed as

child-ANTchildrencognitive trainingCorsi blocksHeart–Flower Stroop taskschoolsToNITower of Londontransfervideogames

Identifiers

PMID38539650
PMCPMC10968583

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.