Evidence map›Paper›PMID 32749927›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2021

Predictors of training-related improvement in visuomotor performance in patients with multiple sclerosis: A behavioural and MRI study.

Ilona Lipp, Catherine Foster, Rachael Stickland, Eleonora Sgarlata, Emma C Tallantyre, Alison E Davidson, Neil P Robertson, Derek K Jones, Richard G Wise, Valentina Tomassini

Open access · hybridAbstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-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

6 citing papers in PubMed, 10 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

10 authors at 3 institutions in 2 countries.

Ilona LippDivision of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK/Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK/Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Catherine FosterCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Rachael SticklandCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Eleonora SgarlataDivision of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK/Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Emma C TallantyreDivision of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK/Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, UK.ORCID 0000-0002-3760-6634
Alison E DavidsonDivision of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK/Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Neil P RobertsonDivision of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK/Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, UK.
Derek K JonesCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Richard G WiseCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK/Institute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University 'G. d'Annunzio' of Chieti-Pescara, Chieti, Italy.
Valentina TomassiniDivision of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK/Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK/Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, UK/Institute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University 'G. d'Annunzio' of Chieti-Pescara, Chieti, Italy.ORCID 0000-0002-7368-6280
Cardiff University · GBUniversity Hospital of Wales · GBMax Planck Institute for Human Cognitive and Brain Sciences · DE

Funding

Medical Research Council MR/L010305/1Wellcome Trust
6 · The paper itself

Abstract

backgroundThe development of tailored recovery-oriented strategies in multiple sclerosis requires early identification of an individual's potential for functional recovery.

objectiveTo identify predictors of visuomotor performance improvements, a proxy of functional recovery, using a predictive statistical model that combines demographic, clinical and magnetic resonance imaging (MRI) data.

methodsRight-handed multiple sclerosis patients underwent baseline disability assessment and MRI of the brain structure, function and vascular health. They subsequently undertook 4 weeks of right upper limb visuomotor practice. Changes in performance with practice were our outcome measure. We identified predictors of improvement in a

resultsPatients improved their visuomotor performance with practice. Younger age, better visuomotor abilities, less severe disease burden and concurrent use of preventive treatments predicted improvements. Neuroimaging localised outcome-relevant sensory motor regions, the microstructure and activity of which correlated with performance improvements.

conclusionInitial characteristics, including age, disease duration, visuo-spatial abilities, hand dexterity, self-evaluated disease impact and the presence of disease-modifying treatments, can predict functional recovery in individual patients, potentially improving their clinical management and stratification in clinical trials. MRI is a correlate of outcome, potentially supporting individual prognosis.

Indexed as

Multiple SclerosisBrainHandHumansMagnetic Resonance ImagingNeuroimagingbrain plasticitycognitiondisease-modifying treatmentfunctional recoveryMRIMultiple sclerosispredictors

Identifiers

PMID32749927
PMCPMC8151554
OpenAlexW3047445586

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.