Evidence map›Paper›PMID 33885965›Full record

ArticleBrain structure & function2021

White matter microstructural changes in short-term learning of a continuous visuomotor sequence.

Stéfanie A Tremblay, Anna-Thekla Jäger, Julia Huck, Chiara Giacosa, Stephanie Beram, Uta Schneider, Sophia Grahl, Arno Villringer, Christine L Tardif, Pierre-Louis Bazin and 2 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Brain structure & function, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

12 authors at 5 institutions in 4 countries.

Stéfanie A TremblayDepartment of Physics/PERFORM Center, Concordia University, Montreal, QC, Canada.
Anna-Thekla JägerDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Julia HuckDepartment of Physics/PERFORM Center, Concordia University, Montreal, QC, Canada.
Chiara GiacosaDepartment of Physics/PERFORM Center, Concordia University, Montreal, QC, Canada.
Stephanie BeramDepartment of Physics/PERFORM Center, Concordia University, Montreal, QC, Canada.
Uta SchneiderDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Sophia GrahlDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Arno VillringerDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Christine L TardifDepartment of Biomedical Engineering, McGill University, Montreal, QC, Canada.
Pierre-Louis BazinDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Christopher J Steele *Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Claudine J Gauthier *Department of Physics/PERFORM Center, Concordia University, Montreal, QC, Canada. Claudine.Gauthier@concordia.ca.ORCID http://orcid.org/0000-0002-5137-5019
Max Planck Institute for Human Cognitive and Brain Sciences · DEConcordia University · CAConcordia University · USMontreal Heart Institute · CAMontreal Neurological Institute and Hospital · CA

Funding

CIHR HNC 170723National Science and Engineering Research Council DGECR-2020-00146National Science and Engineering Research Council RGPIN 2015-04665National Science and Engineering Research Council RGPIN-2020-06812
6 · The paper itself

Abstract

Efficient neural transmission is crucial for optimal brain function, yet the plastic potential of white matter (WM) has long been overlooked. Growing evidence now shows that modifications to axons and myelin occur not only as a result of long-term learning, but also after short training periods. Motor sequence learning (MSL), a common paradigm used to study neuroplasticity, occurs in overlapping learning stages and different neural circuits are involved in each stage. However, most studies investigating short-term WM plasticity have used a pre-post design, in which the temporal dynamics of changes across learning stages cannot be assessed. In this study, we used multiple magnetic resonance imaging (MRI) scans at 7 T to investigate changes in WM in a group learning a complex visuomotor sequence (LRN) and in a control group (SMP) performing a simple sequence, for five consecutive days. Consistent with behavioral results, where most improvements occurred between the two first days, structural changes in WM were observed only in the early phase of learning (d1-d2), and in overall learning (d1-d5). In LRNs, WM microstructure was altered in the tracts underlying the primary motor and sensorimotor cortices. Moreover, our structural findings in WM were related to changes in functional connectivity, assessed with resting-state functional MRI data in the same cohort, through analyses in regions of interest (ROIs). Significant changes in WM microstructure were found in a ROI underlying the right supplementary motor area. Together, our findings provide evidence for highly dynamic WM plasticity in the sensorimotor network during short-term MSL.

Indexed as

LearningWhite MatterHumansMagnetic Resonance ImagingMyelin SheathNeuronal PlasticityDTIDWIFractional anisotropy (FA)Motor sequence learningPlasticityWhite matter

Identifiers

PMID33885965
OpenAlexW3153408593

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.