Evidence map›Paper›PMID 34963128›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

Human Variation in Error-Based and Reinforcement Motor Learning Is Associated With Entorhinal Volume.

Anouk J de Brouwer, Corson N Areshenkoff, Mohammad R Rashid, J Randall Flanagan, Jordan Poppenk, Jason P Gallivan

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Whole-brain dynamics of human sensorimotor adaptation.Cerebral cortex (New York, N.Y. : 1991) · 2023
    Article
  10. Distinct patterns of cortical manifold expansion and contraction underlie human sensorimotor adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

6 authors at 1 institution in 1 country.

Anouk J de BrouwerCentre for Neuroscience Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Corson N AreshenkoffCentre for Neuroscience Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Mohammad R RashidSchool of Computing, Queen's University, Kingston, ON K7L 3N6, Canada.
J Randall FlanaganCentre for Neuroscience Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Jordan PoppenkCentre for Neuroscience Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Jason P GallivanCentre for Neuroscience Studies, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-7362-109X
Queen's University · CA

Funding

CIHR MOP126158CIHR PJT175012
6 · The paper itself

Abstract

Error-based and reward-based processes are critical for motor learning and are thought to be mediated via distinct neural pathways. However, recent behavioral work in humans suggests that both learning processes can be bolstered by the use of cognitive strategies, which may mediate individual differences in motor learning ability. It has been speculated that medial temporal lobe regions, which have been shown to support motor sequence learning, also support the use of cognitive strategies in error-based and reinforcement motor learning. However, direct evidence in support of this idea remains sparse. Here we first show that better overall learning during error-based visuomotor adaptation is associated with better overall learning during the reward-based shaping of reaching movements. Given the cognitive contribution to learning in both of these tasks, these results support the notion that strategic processes, associated with better performance, drive intersubject variation in both error-based and reinforcement motor learning. Furthermore, we show that entorhinal cortex volume is larger in better learning individuals-characterized across both motor learning tasks-compared with their poorer learning counterparts. These results suggest that individual differences in learning performance during error and reinforcement learning are related to neuroanatomical differences in entorhinal cortex.

Indexed as

LearningReinforcement, PsychologyHumansMovementNeural PathwaysPsychomotor PerformanceRewarderror-based learningmotor adaptationmotor learningreachingreinforcement learning

Identifiers

PMID34963128
PMCPMC9376876
OpenAlexW4200330267

What OpenQuestion holds

Textmetadata
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.