Evidence map›Paper›PMID 29330467›Full record

ArticleScientific reports2018

Evidence for sparse synergies in grasping actions.

Roberto Prevete, Francesco Donnarumma, Andrea d'Avella, Giovanni Pezzulo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  6. A quantitative taxonomy of human hand grasps.Journal of neuroengineering and rehabilitation · 2019
    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

4 authors at 3 institutions in 1 country.

Roberto PreveteDepartment of Electric Engineering and Information Technologies (DIETI) Università di Napoli Federico II, Naples, Italy.
Francesco DonnarummaInstitute of Cognitive Sciences and Technologies, National Research Council (ISTC-CNR), Via S. Martino della Battaglia, 44, 00185, Rome, Italy. francesco.donnarumma@istc.cnr.it.ORCID http://orcid.org/0000-0003-4248-5360
Andrea d'AvellaDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.
Giovanni PezzuloInstitute of Cognitive Sciences and Technologies, National Research Council (ISTC-CNR), Via S. Martino della Battaglia, 44, 00185, Rome, Italy.
National Research Council · ITUniversity of Messina · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Converging evidence shows that hand-actions are controlled at the level of synergies and not single muscles. One intriguing aspect of synergy-based action-representation is that it may be intrinsically sparse and the same synergies can be shared across several distinct types of hand-actions. Here, adopting a normative angle, we consider three hypotheses for hand-action optimal-control: sparse-combination hypothesis (SC) - sparsity in the mapping between synergies and actions - i.e., actions implemented using a sparse combination of synergies; sparse-elements hypothesis (SE) - sparsity in synergy representation - i.e., the mapping between degrees-of-freedom (DoF) and synergies is sparse; double-sparsity hypothesis (DS) - a novel view combining both SC and SE - i.e., both the mapping between DoF and synergies and between synergies and actions are sparse, each action implementing a sparse combination of synergies (as in SC), each using a limited set of DoFs (as in SE). We evaluate these hypotheses using hand kinematic data from six human subjects performing nine different types of reach-to-grasp actions. Our results support DS, suggesting that the best action representation is based on a relatively large set of synergies, each involving a reduced number of degrees-of-freedom, and that distinct sets of synergies may be involved in distinct tasks.

Indexed as

Biomechanical PhenomenaHandHand StrengthHumansMovementPsychomotor Performance

Identifiers

PMID29330467
PMCPMC5766604
OpenAlexW2783635160

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.