Evidence map›Paper›PMID 30279645›Full record

ArticleFrontiers in neuroscience2018

Variable Neural Contributions to Explicit and Implicit Learning During Visuomotor Adaptation.

Sook-Lei Liew, Tziporah Thompson, Joel Ramirez, Peter A Butcher, Jordan A Taylor, Pablo A Celnik

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  5. 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
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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

6 authors.

Sook-Lei LiewNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Tziporah ThompsonDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Joel RamirezDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Peter A ButcherDepartment of Psychology and Princeton Neuroscience Institute, Princeton University, Princeton, NJ, United States.
Jordan A TaylorDepartment of Psychology and Princeton Neuroscience Institute, Princeton University, Princeton, NJ, United States.
Pablo A CelnikDepartment of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Funding

Rehabilitation Research Career Development ProgramK12HD055929 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BROWN, DAVID A · 2007 to 2021
$11.7M
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
Understanding Motor Behavior After StrokeR01HD073147 · NICHD · JOHNS HOPKINS UNIVERSITY · PI CELNIK, PABLO ARIEL · 2012 to 2016
$1.7M
Big Data Neuroimaging to Predict Motor Behavior After StrokeK01HD091283 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LIEW, SOOK-LEI · 2017 to 2020
$802k
NICHD NIH HHS K01 HD091283NICHD NIH HHS K12 HD055929NICHD NIH HHS R01 HD073147NINDS NIH HHS R01 NS084948
6 · The paper itself

Abstract

We routinely make fine motor adjustments to maintain optimal motor performance. These adaptations have been attributed to both implicit, error-based mechanisms, and explicit, strategy-based mechanisms. However, little is known about the neural basis of implicit vs. explicit learning. Here, we aimed to use anodal transcranial direct current stimulation (tDCS) to probe the relationship between different brain regions and learning mechanisms during a visuomotor adaptation task in humans. We hypothesized that anodal tDCS over the cerebellum (CB) should increase implicit learning while anodal tDCS over the dorsolateral prefrontal cortex (dlPFC), a region associated with higher-level cognition, should facilitate explicit learning. Using a horizontal visuomotor adaptation task that measures explicit/implicit contributions to learning (Taylor et al., 2014), we found that dlPFC stimulation significantly improved performance compared to the other groups, and weakly increased explicit learning. However, CB stimulation had no effects on either target error or implicit learning. Previous work showed variable CB stimulation effects only on a vertical visuomotor adaptation task (Jalali et al., 2017), so in Experiment 2, we conducted the same study using a vertical context to see if we could find effects of CB stimulation. We found only weak effects of CB stimulation on target error and implicit learning, and now the dlPFC effect did not replicate. To resolve this discrepancy, in Experiment 3, we examined the effect of context (vertical vs. horizontal) on implicit and explicit contributions and found that individuals performed significantly worse and used greater implicit learning in the vertical screen condition compared to the horizontal screen condition. Across all experiments, however, there was high inter-individual variability, with strong influences of a few individuals, suggesting that these effects are not consistent across individuals. Overall, this work provides preliminary support for the idea that different neural regions can be engaged to improve visuomotor adaptation, but shows that each region's effects are highly context-dependent and not clearly dissociable from one another. This holds implications especially in neurorehabilitation, where an intact neural region could be engaged to potentially compensate if another region is impaired. Future work should examine factors influencing interindividual variability during these processes.

Indexed as

cerebellumcontext-dependent learningdorsolateral prefrontal cortex (DLPFC)explicit learningimplicit learningtDCSvisuomotor adaptation-learning

Identifiers

PMID30279645
PMCPMC6153328

What OpenQuestion holds

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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.