Evidence map›Paper›PMID 33146781›Full record

ArticlePsychological research2021

Auditory selective attention under working memory load.

Rena Bayramova, Enrico Toffalini, Mario Bonato, Massimo Grassi

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In one paragraph

Article in Psychological research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Rena BayramovaDepartment of General Psychology, University of Padova, Via Venezia, 8, Padua, Italy.ORCID http://orcid.org/0000-0002-1562-7573
Enrico ToffaliniDepartment of General Psychology, University of Padova, Via Venezia, 8, Padua, Italy.ORCID http://orcid.org/0000-0002-1404-5133
Mario Bonato *Department of General Psychology, University of Padova, Via Venezia, 8, Padua, Italy. mario.bonato@unipd.it.ORCID http://orcid.org/0000-0002-2004-9341
Massimo Grassi *Department of General Psychology, University of Padova, Via Venezia, 8, Padua, Italy.ORCID http://orcid.org/0000-0002-3784-2784

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca Dipartimenti di EccellenzaUniversità degli Studi di Padova 164480
6 · The paper itself

Abstract

Can cognitive load enhance concentration on task-relevant information and help filter out distractors? Most of the prior research in the area of selective attention has focused on visual attention or cross-modal distraction and has yielded controversial results. Here, we studied whether working memory load can facilitate selective attention when both target and distractor stimuli are auditory. We used a letter n-back task with four levels of working memory load and two levels of distraction: congruent and incongruent distractors. This combination of updating and inhibition tasks allowed us to manipulate working memory load within the selective attention task. Participants sat in front of three loudspeakers and were asked to attend to the letter presented from the central loudspeaker while ignoring that presented from the flanking ones (spoken by a different person), which could be the same letter as the central one (congruent) or a different (incongruent) letter. Their task was to respond whether or not the central letter matched the letter presented n (0, 1, 2, or 3) trials back. Distraction was measured in terms of the difference in reaction time and accuracy on trials with incongruent versus congruent flankers. We found reduced interference from incongruent flankers in 2- and 3-back conditions compared to 0- and 1-back conditions, whereby higher working memory load almost negated the effect of incongruent flankers. These results suggest that high load on verbal working memory can facilitate inhibition of distractors in the auditory domain rather than make it more difficult as sometimes claimed.

Indexed as

CognitionMemory, Short-TermHumansReaction Time

Identifiers

PMID33146781
PMCPMC8440250

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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.