Evidence map›Paper›PMID 38820571›Full record

ArticlePLoS computational biology2024

Disentangling the effects of metabolic cost and accuracy on movement speed.

Garrick W Bruening, Robert J Courter, Shruthi Sukumar, Megan K O'Brien, Alaa A Ahmed

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Cognitive correlates of human endurance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Slowing of Movements in Healthy Aging as a Rational Economic Response to an Elevated Effort Landscape.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  5. 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

5 authors.

Garrick W BrueningDepartment of Integrative Physiology, University of Colorado, Boulder, Colorado, United States of America.
Robert J CourterDepartment of Integrative Physiology, University of Colorado, Boulder, Colorado, United States of America.
Shruthi SukumarDepartment of Computer Science, University of Colorado, Boulder, Colorado, United States of America.
Megan K O'BrienShirley Ryan Ability Lab, Northwestern University, Chicago, Illinois, United States of America.
Alaa A AhmedDepartment of Integrative Physiology, University of Colorado, Boulder, Colorado, United States of America.ORCID 0000-0002-1596-342X

Funding

Effort, reward and vigor in decision making and movement controlR01NS096083 · NINDS · UNIVERSITY OF COLORADO · PI AHMED, ALAA A. · 2017 to 2021
$2.3M
NINDS NIH HHS R01 NS096083
6 · The paper itself

Abstract

On any given day, we make countless reaching movements to objects around us. While such ubiquity may suggest uniformity, each movement's speed is unique-why is this? Reach speed is known to be influenced by accuracy; we slow down to sustain high accuracy. However, in other forms of movement like walking or running, metabolic cost is often the primary determinant of movement speed. Here we bridge this gap and ask: how do metabolic cost and accuracy interact to determine speed of reaching movements? First, we systematically measure the effect of increasing mass on the metabolic cost of reaching across a range of movement speeds. Next, in a sequence of three experiments, we examine how added mass affects preferred reaching speed across changing accuracy requirements. We find that, while added mass consistently increases metabolic cost thereby leading to slower metabolically optimal movement speeds, self-selected reach speeds are slower than those predicted by an optimization of metabolic cost alone. We then demonstrate how a single model that considers both accuracy and metabolic costs can explain preferred movement speeds. Together, our findings provide a unifying framework to illuminate the combined effects of metabolic cost and accuracy on movement speed and highlight the integral role metabolic cost plays in determining reach speed.

Indexed as

MovementAdultComputational BiologyEnergy MetabolismFemaleHumansMaleModels, BiologicalPsychomotor PerformanceYoung Adult

Identifiers

PMID38820571
PMCPMC11168626

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.