Evidence map›Paper›PMID 40456940›Full record

ArticleNature human behaviour2025

Mental graphs structure the storage and retrieval of visuomotor associations.

Juliana E Trach, Samuel D McDougle

Abstract read
In one paragraph

Article in Nature human behaviour, 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. Motor working memory.Trends in cognitive sciences · 2026
    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

2 authors.

Juliana E TrachDepartment of Psychology, Yale University, New Haven, CT, USA. juliana.trach@yale.edu.ORCID http://orcid.org/0000-0002-3429-3839
Samuel D McDougleDepartment of Psychology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-8100-4238

Funding

Generalized prediction errors in the human cerebellumR01NS132926 · NINDS · YALE UNIVERSITY · PI Samuel David McDougle · 2023 to 2026
$1.7M
National Science Foundation (NSF) GRFPNINDS NIH HHS R01 NS132926
6 · The paper itself

Abstract

Much of human memory takes the form of cognitive graphs that allow us to relate and generalize knowledge. The influence of structured memory in the motor system is less clear. Here we examine how structured memory representations influence action selection when responses are retrieved from newly learned, hierarchical visuomotor maps. Human participants (N = 182) learned visuomotor mappings with (or without) an imposed latent structure that linked visual stimulus features (for example, colour or shape) to intuitive motor distinctions, such as hands and pairs of fingers. In participants who learned structured visuomotor mappings, transitional response times indicated that retrieving the correct response from memory invoked the 'traversal' of a structured mental graph. Forced-response experiments revealed similar computations within individual trials. Moreover, graph-like representations persisted even after multiple days of practice with the visuomotor mappings. Our results point to direct links between internal computations over structured memory representations and the preparation of movements.

Indexed as

MemoryMental RecallPsychomotor PerformanceVisual PerceptionAdultFemaleHumansMaleReaction TimeYoung Adult

Identifiers

PMID40456940
PMCPMC12418510

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Registered trials

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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.