Evidence map›Paper›PMID 29462147›Full record

ArticlePLoS computational biology2018

Exploiting the geometry of the solution space to reduce sensitivity to neuromotor noise.

Zhaoran Zhang, Dena Guo, Meghan E Huber, Se-Woong Park, Dagmar Sternad

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  8. Neural Encoding and Representation of Time for Sensorimotor Control and Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Review
  9. Article
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  11. Review
  12. Article
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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

5 authors.

Zhaoran ZhangDepartment of Bioengineering, Northeastern University, Boston, Massachusetts, United States of America.
Dena GuoDepartment of Physics, Northeastern University, Boston, Massachusetts, United States of America.
Meghan E HuberDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-0415-4002
Se-Woong ParkDepartment of Biology, Northeastern University, Boston, Massachusetts, United States of America.ORCID 0000-0001-8599-6959
Dagmar SternadDepartment of Physics, Northeastern University, Boston, Massachusetts, United States of America.

Funding

VARIABILITY AND STABILITY IN SKILL ACQUISITIONR01HD045639 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI STERNAD, DAGMAR · 2004 to 2014
$2.7M
Multi-center trial of Augmented Sensory Feedback in Children with Dyskinetic CPR01HD081346 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SANGER, TERENCE D · 2015 to 2019
$2.5M
Predictability in Complex Object ControlR01HD087089 · NICHD · NORTHEASTERN UNIVERSITY · PI STERNAD, DAGMAR · 2015 to 2020
$1.8M
NICHD NIH HHS R01 HD045639NICHD NIH HHS R01 HD081346NICHD NIH HHS R01 HD087089NIH HHS R01-HD045639NIH HHS R01-HD081346
6 · The paper itself

Abstract

Throwing is a uniquely human skill that requires a high degree of coordination to successfully hit a target. Timing of ball release appears crucial as previous studies report required timing accuracies as short as 1-2ms, which however appear physiologically challenging. This study mathematically and experimentally demonstrates that humans can overcome these seemingly stringent timing requirements by shaping their hand trajectories to create extended timing windows, where ball releases achieve target hits despite temporal imprecision. Subjects practiced four task variations in a virtual environment, each with a distinct geometry of the solution space and different demands for timing. Model-based analyses of arm trajectories revealed that subjects first decreased timing error, followed by lengthening timing windows in their hand trajectories. This pattern was invariant across solution spaces, except for a control case. Hence, the exquisite skill that humans evolved for throwing is achieved by developing strategies that are less sensitive to temporal variability arising from neuromotor noise. This analysis also provides an explanation why coaches emphasize the "follow-through" in many ball sports.

Indexed as

Models, NeurologicalAdultArmBiomechanical PhenomenaFemaleHandHumansMaleMovementMuscle, SkeletalPsychomotor PerformanceRegression AnalysisReproducibility of ResultsYoung Adult

Identifiers

PMID29462147
PMCPMC5834204

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.