Evidence map›Paper›PMID 32053768›Full record

ArticleNeuron2020

Causal Role of Motor Preparation during Error-Driven Learning.

Saurabh Vyas, Daniel J O'Shea, Stephen I Ryu, Krishna V Shenoy

Abstract read
In one paragraph

Article in Neuron, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  6. Visual information potentiates incremental VOR adaptation.Journal of neuroengineering and rehabilitation · 2026
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  7. Article
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  14. Meta-learning of human motor adaptation via the dorsal premotor cortex.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. 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.

Saurabh VyasDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA. Electronic address: smvyas@stanford.edu.
Daniel J O'SheaDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Neurosciences Graduate Program, Stanford University, Stanford, CA 94305, USA.
Stephen I RyuDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Palo Alto Medical Foundation, Palo Alto, CA 94301, USA.
Krishna V ShenoyDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Neurobiology, Stanford University, Stanford, CA 94305, USA; Bio-X Program, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.

Funding

Fully Implantable and Programmable Spike-based Codecs for NeuroprostheticsR01NS076460 · NINDS · STANFORD UNIVERSITY · PI BOAHEN, KWABENA · 2011 to 2015
$4.4M
Toward an Animal Model of Freely Moving HumanDP1HD075623 · NICHD · STANFORD UNIVERSITY · PI SHENOY, KRISHNA V · 2012 to 2013
$1.6M
Neural dynamics and adaption for brain machine interface controlF31NS103409 · NINDS · STANFORD UNIVERSITY · PI VYAS, SAURABH · 2017 to 2019
$102k
Howard Hughes Medical InstituteNICHD NIH HHS DP1 HD075623NINDS NIH HHS F31 NS103409NINDS NIH HHS R01 NS076460
6 · The paper itself

Abstract

Current theories suggest that an error-driven learning process updates trial-by-trial to facilitate motor adaptation. How this process interacts with motor cortical preparatory activity-which current models suggest plays a critical role in movement initiation-remains unknown. Here, we evaluated the role of motor preparation during visuomotor adaptation. We found that preparation time was inversely correlated to variance of errors on current trials and mean error on subsequent trials. We also found causal evidence that intracortical microstimulation during motor preparation was sufficient to disrupt learning. Surprisingly, stimulation did not affect current trials, but instead disrupted the update computation of a learning process, thereby affecting subsequent trials. This is consistent with a Bayesian estimation framework where the motor system reduces its learning rate by virtue of lowering error sensitivity when faced with uncertainty. This interaction between motor preparation and the error-driven learning system may facilitate new probes into mechanisms underlying trial-by-trial adaptation.

Indexed as

Adaptation, PsychologicalAnimalsAnticipation, PsychologicalBayes TheoremBrain MappingCerebral CortexElectric StimulationLearningMacaca mulattaPhotic StimulationPsychomotor Performancedynamical systemserror-driven learningmicrostimulationmotor preparationpreparatoryvisuomotor adaptation

Identifiers

PMID32053768
PMCPMC7185427

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.