Evidence map›Paper›PMID 40595768›Full record

ArticleScientific reports2025

Different effects of verbal and visual working memory loads on Language prediction.

Shun Liu, Wenpeng Hu, Xiqin Liu

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

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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

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

3 authors.

Shun LiuDepartment of Education, Hunan First Normal University, Changsha, China.ORCID http://orcid.org/0000-0002-4691-6685
Wenpeng HuDepartment of Student Affairs, Guangdong Songshan Polytechnic, Shaoguan, China.ORCID http://orcid.org/0009-0007-8554-8778
Xiqin LiuSchool of Foreign Languages, South China University of Technology, 381 Wushan Road, Guangzhou, 510641, China. flxqliu@scut.edu.cn.ORCID http://orcid.org/0000-0001-5723-8392

Funding

China Scholarship Council 202306150020China Scholarship Council 202308430131Chinese Lexicography Research Center (Ludong University) of National Language Commission CSZX-YB-202401Fundamental Research Funds for the Central Universities CXTD202403Hunan Province Social Science Committee Project XSP22YBZ108Natural Science Foundation of Hunan Province 2023JJ40204
6 · The paper itself

Abstract

Mounting studies suggest that working memory (WM) plays a crucial role in language prediction, but how varying types of WM loads influence language prediction remains unclear. This study investigated whether verbal and visual WM loads differentially impact language predictions during speech comprehension. Using a dual-task paradigm combined with eye-tracking in a visual world setting, we asked 48 participants to complete a sentence comprehension task under concurrent WM load conditions. Participants were divided into two groups, one of which performed a visual dots memory task and the other completed a visual words memory task, with memory load being applied in half of the trials. Results revealed anticipatory gaze towards target objects, suggesting the prediction of upcoming linguistic information. Notably, early fixations during the tonal cue window indicated tonal prediction in spoken sentence processing. Furthermore, WM load significantly disrupted participants' language prediction effects, highlighting the involvement of working memory resources in this process. Importantly, the verbal memory task imposed a more severe disruption to language prediction than the visual memory task, suggesting differential roles of WM subtypes in linguistic prediction. This offers novel insights into how verbal WM and visual-spatial WM differentially influence predictive language processing.

Indexed as

LanguageMemory, Short-TermSpeech PerceptionVisual PerceptionAdultComprehensionFemaleHumansMaleYoung AdultLanguage predictionTonal predictionVerbal working memory loadVisual-spatial working memory loadVisual world paradigm

Identifiers

PMID40595768
PMCPMC12216834

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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.