Evidence map›Paper›PMID 27965559›Full record

ArticleFrontiers in human neuroscience2016

Effect of Position- and Velocity-Dependent Forces on Reaching Movements at Different Speeds.

Susanna Summa, Maura Casadio, Vittorio Sanguineti

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Human-machine-human interaction in motor control and rehabilitation: a review.Journal of neuroengineering and rehabilitation · 2021
    Review
  5. Article
  6. 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

3 authors.

Susanna SummaNeuroengineering and Neuro-Robotics Laboratory, Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa Genoa, Italy.
Maura CasadioNeuroengineering and Neuro-Robotics Laboratory, Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa Genoa, Italy.
Vittorio SanguinetiNeuroengineering and Neuro-Robotics Laboratory, Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The speed of voluntary movements is determined by the conflicting needs of maximizing accuracy and minimizing mechanical effort. Dynamic perturbations, e.g., force fields, may be used to manipulate movements in order to investigate these mechanisms. Here, we focus on how the presence of position- and velocity-dependent force fields affects the relation between speed and accuracy during hand reaching movements. Participants were instructed to perform reaching movements under visual control in two directions, corresponding to either low or high arm inertia. The subjects were required to maintain four different movement durations (very slow, slow, fast, very fast). The experimental protocol included three phases: (i) familiarization-the robot generated no force; (ii) force field-the robot generated a force; and (iii) after-effect-again, no force. Participants were randomly assigned to four groups, depending on the type of force that was applied during the "force field" phase. The robot was programmed to generate position-dependent forces-with positive (K+) or negative stiffness (K-)-or velocity-dependent forces, with either positive (B+) or negative viscosity (B-). We focused on path curvature, smoothness, and endpoint error; in the latter we distinguished between bias and variability components. Movements in the high-inertia direction are smoother and less curved; smoothness also increases with movement speed. Endpoint bias and variability are greater in, respectively, the high and low inertia directions. A robust dependence on movement speed was only observed in the longitudinal components of both bias and variability. The strongest and more consistent effects of perturbation were observed with negative viscosity (B-), which resulted in increased variability during force field adaptation and in a reduction of the endpoint bias, which was retained in the subsequent after-effect phase. These findings confirm that training with negative viscosity produces lasting effects in movement accuracy at all speeds.

Indexed as

hand movementsnegative viscosityposition-dependent force fieldsspeed/accuracy trade-offvelocity-dependent force fields

Identifiers

PMID27965559
PMCPMC5126124

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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.