Evidence map›Paper›PMID 35438633›Full record

ArticleeLife2022

Neural excursions from manifold structure explain patterns of learning during human sensorimotor adaptation.

Corson Areshenkoff, Daniel J Gale, Dominic Standage, Joseph Y Nashed, J Randall Flanagan, Jason P Gallivan

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  6. Visual Statistical Learning Alters Low-Dimensional Cortical Architecture.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  7. Complexity in speech and music listening via neural manifold flows.Network neuroscience (Cambridge, Mass.) · 2025
    Article
  8. Review
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  15. 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
  16. 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.

Corson AreshenkoffCentre for Neuroscience Studies, Queen's University, Kingston, Canada.ORCID 0000-0001-9072-9185
Daniel J GaleCentre for Neuroscience Studies, Queen's University, Kingston, Canada.
Dominic StandageSchool of Psychology, Centre for Computational Neuroscience and Cognitive Robotics, University of Birmingham, Birmingham, United Kingdom.
Joseph Y NashedCentre for Neuroscience Studies, Queen's University, Kingston, Canada.
J Randall FlanaganCentre for Neuroscience Studies, Queen's University, Kingston, Canada.
Jason P GallivanCentre for Neuroscience Studies, Queen's University, Kingston, Canada.

Funding

CIHR MOP126158
6 · The paper itself

Abstract

Humans vary greatly in their motor learning abilities, yet little is known about the neural mechanisms that underlie this variability. Recent neuroimaging and electrophysiological studies demonstrate that large-scale neural dynamics inhabit a low-dimensional subspace or manifold, and that learning is constrained by this intrinsic manifold architecture. Here, we asked, using functional MRI, whether subject-level differences in neural excursion from manifold structure can explain differences in learning across participants. We had subjects perform a sensorimotor adaptation task in the MRI scanner on 2 consecutive days, allowing us to assess their learning performance across days, as well as continuously measure brain activity. We find that the overall neural excursion from manifold activity in both cognitive and sensorimotor brain networks is associated with differences in subjects' patterns of learning and relearning across days. These findings suggest that off-manifold activity provides an index of the relative engagement of different neural systems during learning, and that subject differences in patterns of learning and relearning are related to reconfiguration processes occurring in cognitive and sensorimotor networks.

Indexed as

Adaptation, PhysiologicalLearningBrainHumansMagnetic Resonance Imagingbrain networksfunctional MRIhumanmotor learningneuroscience

Identifiers

PMID35438633
PMCPMC9018069

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.