Evidence map›Paper›PMID 32208878›Full record

ArticleJournal of neurophysiology2020

Assessing explicit strategies in force field adaptation.

Raphael Schween, Samuel D McDougle, Mathias Hegele, Jordan A Taylor

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Benefits of Dual-Tasking on Implicit Sensorimotor Adaptation.The European journal of neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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  10. The cerebellum acts as the analog to the medial temporal lobe for sensorimotor memory.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Review
  13. "Leap before you look": Conditions that suppress explicit, knowledge-based learning during visuomotor adaptation.Journal of experimental psychology. Human perception and performance · 2024
    Article
  14. Article
  15. A software tool for at-home measurement of sensorimotor adaptation.bioRxiv : the preprint server for biology · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. 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.

Raphael SchweenNeuromotor Behavior Laboratory, Department of Psychology & Sport Science, Justus-Liebig-University Giessen, Giessen, Germany.ORCID 0000-0003-1804-9438
Samuel D McDougleDepartment of Psychology, University of California, Berkeley, California.ORCID 0000-0001-8100-4238
Mathias HegeleNeuromotor Behavior Laboratory, Department of Psychology & Sport Science, Justus-Liebig-University Giessen, Giessen, Germany.
Jordan A TaylorIntelligent Performance and Adaptation Laboratory, Department of Psychology, Princeton University, Princeton, New Jersey.ORCID 0000-0001-9300-1229

Funding

A model system to study the interaction of multiple processes for motor learningR01NS084948 · NINDS · PRINCETON UNIVERSITY · PI TAYLOR, JORDAN A · 2013 to 2017
$1.7M
Modeling and mapping multiple computational processes in human reinforcement learningF32MH119797 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCDOUGLE, SAMUEL DAVID · 2019 to 2020
$82k
NIMH NIH HHS F32 MH119797NINDS NIH HHS R01 NS084948
6 · The paper itself

Abstract

In recent years, it has become increasingly clear that a number of learning processes are at play in visuomotor adaptation tasks. In addition to implicitly adapting to a perturbation, learners can develop explicit knowledge allowing them to select better actions in responding to it. Advances in visuomotor rotation experiments have underscored the important role of such "explicit learning" in shaping adaptation to kinematic perturbations. Yet, in adaptation to dynamic perturbations, its contribution has been largely overlooked. We therefore sought to approach the assessment of explicit learning in adaptation to dynamic perturbations, by developing two novel modifications of a force field experiment. First, we asked learners to abandon any cognitive strategy before selected force channel trials to expose consciously accessible parts of overall learning. Here, learners indeed reduced compensatory force compared with standard Catch channels. Second, we instructed a group of learners to mimic their right hand's adaptation by moving with their naïve left hand. While a control group displayed negligible left hand force compensation, the mimicking group reported forces that approximated right hand adaptation but appeared to under-report the velocity component of the force field in favor of a more position-based component. Our results highlight the viability of explicit learning as a potential contributor to force field adaptation, though the fraction of learning under participants' deliberate control on average remained considerably smaller than that of implicit learning, despite task conditions favoring explicit learning. The methods we employed provide a starting point for investigating the contribution of explicit strategies to force field adaptation.

Indexed as

Adaptation, PhysiologicalAdultBiomechanical PhenomenaHumansLearningMotor ActivityPsychomotor Performanceaction selectiondeclarative memoryinternal modelsensorimotorvisuomotor adaptation

Identifiers

PMID32208878
PMCPMC7191530

What OpenQuestion holds

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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.