Evidence map›Paper›PMID 37754910›Full record

ArticleJournal of Intelligence2023

The ANTI-Vea-UGR Platform: A Free Online Resource to Measure Attentional Networks (Alertness, Orienting, and Executive Control) Functioning and Executive/Arousal Vigilance.

Tao Coll-Martín, Rafael Román-Caballero, María Del Rocío Martínez-Caballero, Paulina Del Carmen Martín-Sánchez, Laura Trujillo, Luis Cásedas, M Concepción Castellanos, Klara Hemmerich, Greta Manini, María Julieta Aguirre and 5 more

Abstract read
In one paragraph

Article in Journal of Intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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  5. Review
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  8. 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

15 authors.

Tao Coll-MartínMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.ORCID 0000-0002-0591-4018
Rafael Román-CaballeroMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.ORCID 0000-0003-0943-6217
María Del Rocío Martínez-CaballeroMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.
Paulina Del Carmen Martín-SánchezMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.
Laura TrujilloMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.
Luis CásedasMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.ORCID 0000-0001-5650-6332
M Concepción CastellanosMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.
Klara HemmerichMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.ORCID 0000-0003-4677-1540
Greta ManiniMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.
María Julieta AguirreInstituto de Investigaciones Psicológicas (IIPsi, CONICET-UNC), Facultad de Psicología, Universidad Nacional de Córdoba, Córdoba 5010, Argentina.ORCID 0000-0001-8310-1402
Fabiano BottaMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.
Andrea MarottaMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.ORCID 0000-0003-4609-034X
Elisa Martín-ArévaloMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.
Fernando G LunaInstituto de Investigaciones Psicológicas (IIPsi, CONICET-UNC), Facultad de Psicología, Universidad Nacional de Córdoba, Córdoba 5010, Argentina.ORCID 0000-0003-0698-2263
Juan LupiáñezMind, Brain and Behavior Research Center (CIMCYC), University of Granada, 18071 Granada, Spain.ORCID 0000-0001-6157-9894

Funding

Spanish MCIN/ AEI/10.13039/501100011033/ PID2020-114790GB-I00
6 · The paper itself

Abstract

The Attentional Networks Test for Interactions and Vigilance-executive and arousal components (ANTI-Vea) is a computerized task of 32 min duration in the standard format. The task simultaneously assesses the main effects and interactions of the three attentional networks (i.e., phasic alertness, orienting, and executive control) and two dissociated components of vigilance with reasonable reliability (executive and arousal vigilance). We present this free and publicly accessible resource (ANTI-Vea-UGR; https://anti-vea.ugr.es/) developed to easily run, collect, and analyze data with the ANTI-Vea (or its subtasks measuring some attentional and/or vigilance components embedded in the ANTI-Vea). Available in six different languages, the platform allows for the adaptation of stimulus timing and procedure to facilitate data collection from different populations (e.g., clinical patients, children). Collected data can be freely downloaded and easily analyzed with the provided scripts and tools, including a Shiny app. We discuss previous evidence supporting that attention and vigilance components can be assessed in typical lab conditions as well as online and outside the laboratory. We hope this tutorial will help researchers interested in measuring attention and vigilance with a tool useful to collect data from large sample sizes and easy to use in applied contexts.

Indexed as

attentiononline assessmentvigilance

Identifiers

PMID37754910
PMCPMC10532513

What Socratic 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 Socratic graph.