Evidence map›Paper›PMID 36334132›Full record

ArticleBrain structure & function2022

Longitudinal prediction of motor dysfunction after stroke: a disconnectome study.

Lilit Dulyan, Lia Talozzi, Valentina Pacella, Maurizio Corbetta, Stephanie J Forkel, Michel Thiebaut de Schotten

Open access · hybridAbstract read
In one paragraph

Article in Brain structure & function, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 9% 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, 23 citations in OpenAlex.

  1. Review
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  9. Stroke disconnectome decodes reading networks.Brain structure & function · 2022
    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

6 authors at 2 institutions in 5 countries.

Lilit DulyanGroupe d'Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France. lidulyan@gmail.com.ORCID http://orcid.org/0000-0002-8652-7828
Lia TalozziGroupe d'Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France.
Valentina PacellaGroupe d'Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France.
Maurizio CorbettaClinica Neurologica, Department of Neuroscience, University of Padova, Padua, Italy.
Stephanie J Forkel *Groupe d'Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France. Stephanie.Forkel@gmail.com.
Michel Thiebaut de SchottenGroupe d'Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France. michel.thiebaut@gmail.com.
Centre National de la Recherche Scientifique · FRUniversity of Padua · IT

Funding

Donders Institute 2401515European Research Council 818521H2020 Marie Skłodowska-Curie Actions 101028551
6 · The paper itself

Abstract

Motricity is the most commonly affected ability after a stroke. While many clinical studies attempt to predict motor symptoms at different chronic time points after a stroke, longitudinal acute-to-chronic studies remain scarce. Taking advantage of recent advances in mapping brain disconnections, we predict motor outcomes in 62 patients assessed longitudinally two weeks, three months, and one year after their stroke. Results indicate that brain disconnection patterns accurately predict motor impairments. However, disconnection patterns leading to impairment differ between the three-time points and between left and right motor impairments. These results were cross-validated using resampling techniques. In sum, we demonstrated that while some neuroplasticity mechanisms exist changing the structure-function relationship, disconnection patterns prevail when predicting motor impairment at different time points after stroke.

Indexed as

StrokeBrainHumansLongitudinal StudiesNeuronal PlasticityRecovery of FunctionDisconnectomeLongitudinalMotricityPlasticityRecoveryStroke

Identifiers

PMID36334132
PMCPMC9653357
OpenAlexW4308254441

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.