Evidence map›Paper›PMID 40240636›Full record

ArticleExperimental brain research2025

Do people only adjust ongoing movements vigorously when it is advantageous to do so?

Eli Brenner, Melissa L Vlasblom, Ivo Rap, Jeroen B J Smeets

Abstract read
In one paragraph

Article in Experimental brain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

4 authors.

Eli BrennerDepartment of Human Movement Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. eli.brenner@vu.nl.ORCID http://orcid.org/0000-0002-3611-2843
Melissa L VlasblomDepartment of Human Movement Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Ivo RapDepartment of Human Movement Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jeroen B J SmeetsDepartment of Human Movement Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-3794-0579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We previously found that arm movements towards a jittering target are constantly guided by the latest target position: the responses to target displacements became more vigorous as the movement proceeded, as required for the movement to reach the latest position smoothly within the remaining time. Here we examine whether this behaviour was a consequence of how that experiment was designed. We compared the vigour of adjustments in blocks of trials in which targets followed a random walk, as in our previous studies, with the vigour of adjustments in blocks of trials in which the target position varied at random with respect to a fixed position. For the random walk, the latest position is the best estimate of the final position, so neglecting earlier information can be useful. For random variability around a fixed position, the target's position at any instant is equally informative about the final position, so making vigorous adjustments in response to the latest information is pointless. In that case, the best estimate of the final position is the average of all the encountered positions. Some participants responded less vigorously in the latter case, but most did not. We discuss why tuning the adjustments to be complete within the remaining time may be a good strategy, even when the target does not follow a random walk.

Indexed as

Psychomotor PerformanceAdultArmFemaleHumansMaleMovementReaction TimeYoung AdultInterceptionLearningMotor controlNoiseOnline adjustmentsOptimal feedback control

Identifiers

PMID40240636
PMCPMC12003514

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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.