Evidence map›Paper›PMID 40060497›Full record

ArticlebioRxiv : the preprint server for biology2025

Linking Motor Working Memory to Explicit and Implicit Motor Learning.

Hanna Hillman, Taylor McClure, Samuel D McDougle

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Hanna HillmanDept of Psychology, Yale University, New Haven, CT 06510.
Taylor McClureDept of Psychology, Yale University, New Haven, CT 06510.
Samuel D McDougleDept of Psychology, Yale University, New Haven, CT 06510.ORCID 0000-0001-8100-4238

Funding

Fundamental predictive computations in upper-limb and speech adaptationR01NS134754 · NINDS · YALE UNIVERSITY · PI Samuel David McDougle, Caroline Niziolek · 2025 to 2026
$848k
NINDS NIH HHS R01 NS134754
6 · The paper itself

Abstract

While explicit and implicit motor learning have been widely studied, the extent to which working memory for recent movements - motor working memory (MWM) - contributes to these processes remains unclear. Previous research suggests that visuospatial working memory may facilitate explicit motor learning but is either uninvolved in or detrimental to implicit learning. Here, we ask if and how these findings extend to non-visual MWM. Based on recent work pointing to separate effector-independent and effector-specific MWM codes, we hypothesized that: (1) explicit motor learning processes would correlate with effector-independent MWM, and (2) implicit motor learning processes would correlate with effector-specific MWM. To test these hypotheses, human participants completed both a MWM task and a visuomotor adaptation task. Our results revealed significant correlations between the quality of effector-independent MWM and the degree of explicit motor learning, extending previous findings on visuospatial working memory. Additionally, we present evidence supporting our second hypothesis, that effector-specific MWM correlates with implicit motor learning.

Identifiers

PMID40060497
PMCPMC11888415

What OpenQuestion holds

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LicenceCC BY-NC
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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.