Evidence map›Paper›PMID 28356477›Full record

ArticleJournal of neurophysiology2017

Moving slowly is hard for humans: limitations of dynamic primitives.

Se-Woong Park, Hamal Marino, Steven K Charles, Dagmar Sternad, Neville Hogan

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

29 citing papers in PubMed, 62 citations in OpenAlex.

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  7. Human-exoskeleton interaction portrait.Journal of neuroengineering and rehabilitation · 2024
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  19. Effect of post-stroke spasticity on voluntary movement of the upper limb.Journal of neuroengineering and rehabilitation · 2021
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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 at 4 institutions in 2 countries.

Se-Woong ParkDepartment of Biology, Northeastern University, Boston, Massachusetts; s.park@northeastern.edu.
Hamal MarinoResearch Center "E. Piaggio," University of Pisa, Pisa, Italy.
Steven K CharlesDepartment of Mechanical Engineering and Neuroscience Center, Brigham Young University, Provo, Utah.
Dagmar SternadDepartment of Biology, Northeastern University, Boston, Massachusetts.
Neville HoganDepartment of Mechanical Engineering, Massachusetts Institute of Technology; Cambridge, Massachusetts; and.
Northeastern University · USBrigham Young University · USMassachusetts Institute of Technology · USPiaggio (Italy) · IT

Funding

Predictability in Complex Object ControlR01HD087089 · NICHD · NORTHEASTERN UNIVERSITY · PI STERNAD, DAGMAR · 2015 to 2020
$1.8M
NICHD NIH HHS R01 HD087089
6 · The paper itself

Abstract

Mounting evidence suggests that human motor control uses dynamic primitives, attractors of dynamic neuromechanical systems that require minimal central supervision. However, advantages for control may be offset by compromised versatility. Extending recent results showing that humans could not sustain discrete movements as duration decreased, this study tested whether smoothly rhythmic movements could be maintained as duration increased. Participants performed horizontal movements between two targets, paced by sounds with intervals that increased from 1 to 6 s by 200 ms per cycle and then decreased again. The instruction emphasized smooth rhythmic movements without interspersed dwell times. We hypothesized that

Indexed as

MovementPsychomotor PerformanceReaction TimeAccelerationAdultFemaleHandHumansMalePeriodicityarm movementsdiscretedynamicsintermittent controlmovement primitivesrhythmicsubmovementstiming

Identifiers

PMID28356477
PMCPMC5494357
OpenAlexW2603296491

What OpenQuestion holds

Textmetadata
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.