Evidence map›Paper›PMID 40008337›Full record

ArticleFrontiers in psychology2025

The effect of auditory rhythm on the temporal allocation of visual attention in aging.

Zhihan Xu, Juan Huang, Yuxuan Shen, Yanna Ren, Yulin Gao, Ting Guo

Abstract read
In one paragraph

Article in Frontiers in psychology, 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. 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

6 authors.

Zhihan XuDepartment of Foreign Language, Ningbo University of Technology, Ningbo, China.
Juan HuangDepartment of Foreign Language, Ningbo University of Technology, Ningbo, China.
Yuxuan ShenDepartment of Foreign Language, Ningbo University of Technology, Ningbo, China.
Yanna RenDepartment of Psychology, College of Humanities and Management, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Yulin GaoDepartment of Psychology, Jilin University, Changchun, China.
Ting GuoDepartment of Foreign Language, Ningbo University of Technology, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Isochronous rhythm has been shown to induce temporal expectation, allocated attention to specific points in time to optimize behavioral performance, both within a single modality and across different modalities, in younger adults. However, it remains unclear how an isochronous rhythm in one modality influences the temporal allocation of attention in another modality among older adults. Moreover, whether the cross-modal temporal expectation effect in aging is influenced by tempo has not yet been explored. Methods: To address these issues, both younger and older participants performed a rhythmic temporal expectation task in which auditory isochronous rhythms, presented at either 600 ms (faster) or 1,400 ms (slower) tempo, were used to trigger temporal expectation for a visual target. Results: The results demonstrated a cross-modal temporal expectation effect, with participants exhibiting significantly faster responses when the visual target appeared in synchrony with the preceding auditory rhythm compared to out-of-synchrony trials. This effect was evident in both younger and older groups and was not influenced by tempo. Discussion: These findings suggest that the ability to utilize auditory isochronous rhythms to drive the temporal allocation of visual attention can be preserved in normal aging, highlighting the robustness of cross-modal temporal expectations across both younger and older adults.

Indexed as

agingcross-modalrhythmtempotemporal expectation

Identifiers

PMID40008337
PMCPMC11851195

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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.