Evidence map›Paper›PMID 40436939›Full record

ArticleScientific reports2025

Decoding the impact of aging on the interaction between visual attention and working memory.

Marta Balagué-Marmaña, Marina Martínez-Garcia, Laura Dempere-Marco

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Marta Balagué-Marmaña *Facultat de Ciències, Tecnologia i Enginyeries, Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), Vic, 08500, Spain.
Marina Martínez-Garcia *Institut de Universitari de Matemátiques i Aplicacions de Castelló, Universitat Jaume I de Castelló, Castelló de la Plana, 12071, Spain.
Laura Dempere-Marco *Facultat de Ciències, Tecnologia i Enginyeries, Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), Vic, 08500, Spain. laura.dempere@uvic.cat.

Funding

Spanish Ministry of Science and Innovation TIN-40630-R
6 · The paper itself

Abstract

Working memory (WM) is a temporally structured process with three subprocesses: encoding, maintenance, and retrieval. Encoding is essential for information entry into WM, particularly under limited processing resources, and is closely tied to visual attention, which selectively gates items into WM. This study examines the interaction between visual attention and WM across the lifespan, focusing on age-related changes. Using a delayed-match-to-sample task to assess WM, we tracked eye movements to analyse attentional deployment during encoding. Our results replicate previous findings of age-related declines in task performance and WM capacity, attributable to less thorough scrutiny of memory sets and diminished benefit from fixating on subsequently queried items among older participants. Task difficulty exacerbates these declines, with performance collapsing when memory loads exceed WM capacity -a pattern that begins around age 55 and becomes pronounced in later life. These results emphasise the crucial role of visual attention in WM encoding and its age-related modulation. Furthermore, our findings call into question the strict binary distinction between sequential and simultaneous processing, suggesting that serial effects in WM might emerge even under conditions of simultaneous presentations.

Indexed as

AgingAttentionMemory, Short-TermVisual PerceptionAdultAgedAged, 80 and overEye MovementsFemaleHumansMaleMiddle AgedYoung AdultAgingVisual attentionWorking memory

Identifiers

PMID40436939
PMCPMC12120124

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.