Evidence map›Paper›PMID 31822742›Full record

ArticleScientific reports2019

Visuomotor perturbation in a continuous circle tracing task: novel approach for quantifying motor adaptation.

Erez James Cohen, Kunlin Wei, Diego Minciacchi

Abstract read
In one paragraph

Article in Scientific reports, 2019. 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. Trial
  2. Article
  3. The Role of Visual Information Quantity in Fine Motor Performance.Journal of functional morphology and kinesiology · 2024
    Article
  4. 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

3 authors.

Erez James CohenDepartment of Experimental and Clinical Medicine, Physiological Sciences Section, University of Florence, Florence, Italy.
Kunlin WeiSchool of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-5098-3808
Diego MinciacchiDepartment of Experimental and Clinical Medicine, Physiological Sciences Section, University of Florence, Florence, Italy. diego@unifi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of motor adaptation certainly has advanced greatly through the years and helped to shed light on the mechanisms of motor learning. Most paradigms used to study adaptation employ a discrete approach, where people adapt in successive attempts. Continuous tasks on the other hand, while known to possess different characteristics than discrete ones, have received little attention regarding the study motor adaptation. In this paper, we test for adaptation using a continuous circle tracing task with a visuomotor gain perturbation. To examine the feasibility of this task, 45 normal subjects divided into 3 groups were tested for adaptation, aftereffects, and generalization. All subjects exhibited a gradual adaptation when faced with a perturbation as well as opposite aftereffects once the perturbation was removed. Aftereffects tended to persist unless veridical feedback was given. The task generalized well both in size and in space. We believe that this task, by being continuous, could allow for a thorough investigation of visuomotor adaptation to gain perturbations in particular, and perhaps be expanded to other types of adaptations as well, especially when used alongside discrete tasks.

Indexed as

Adaptation, PhysiologicalLearningMotor SkillsMovementPsychomotor PerformanceAdolescentAttentionFeasibility StudiesFeedbackFemaleGeneralization, PsychologicalHealthy VolunteersHumansMaleVision, OcularYoung Adult

Identifiers

PMID31822742
PMCPMC6904749

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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.