Evidence map›Paper›PMID 33104448›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2021

Increased functional sensorimotor network efficiency relates to disability in multiple sclerosis.

Myrte Strik, Declan T Chard, Iris Dekker, Kim A Meijer, Anand Jc Eijlers, Matteo Pardini, Bernard Mj Uitdehaag, Scott C Kolbe, Jeroen Jg Geurts, Menno M Schoonheim

Abstract 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 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.

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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.

Myrte StrikDepartment of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands/Department of Radiology and Medicine, The University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0001-8995-9899
Declan T ChardNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK/National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK.ORCID 0000-0003-3076-2682
Iris DekkerDepartment of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands/Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Kim A MeijerDepartment of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Anand Jc EijlersDepartment of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Matteo PardiniNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK/Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, University of Genoa, Genoa, Italy/Ospedale Policlinico San Martino-IRCCS, Genoa, Italy.
Bernard Mj UitdehaagDepartment of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Scott C KolbeDepartment of Radiology and Medicine, The University of Melbourne, Melbourne, VIC, Australia/Department of Neurosciences, Central Clinical School, Monash University, Melbourne, VIC, Australia.ORCID 0000-0003-4685-1380
Jeroen Jg GeurtsDepartment of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Menno M SchoonheimDepartment of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-2504-6959

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNetwork abnormalities could help explain physical disability in multiple sclerosis (MS), which remains poorly understood.

objectiveThis study investigates functional network efficiency changes in the sensorimotor system.

methodsWe included 222 MS patients, divided into low disability (LD, Expanded Disability Status Scale (EDSS) ⩽3.5,

resultsHD patients demonstrated significantly higher LE of the left primary somatosensory cortex (S1) and right pallidum compared to LD and HC, and left premotor cortex compared to HC only. The logistic regression model for disability (

conclusionClinical disability in MS associates with functional sensorimotor increases in efficiency and connectivity, centred around S1, independent of structural damage.

Indexed as

Motor CortexMultiple SclerosisPersons with DisabilitiesHumansLinear ModelsMagnetic Resonance Imagingdisabilityefficiencyfunctional MRIMultiple sclerosisnetworkresting-state

Identifiers

PMID33104448
PMCPMC8358536

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Registered trials

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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.