Evidence map›Paper›PMID 33242237›Full record

ArticleHuman brain mapping2021

Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis.

Martin Sjøgård, Vincent Wens, Jeroen Van Schependom, Lars Costers, Marie D'hooghe, Miguel D'haeseleer, Mark Woolrich, Serge Goldman, Guy Nagels, Xavier De Tiège

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 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
4.6field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 41 citations in OpenAlex.

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  4. Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms.Journal of neural transmission (Vienna, Austria : 1996) · 2024
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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.

Martin SjøgårdLaboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.ORCID 0000-0002-7768-9454
Vincent WensLaboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.ORCID 0000-0003-1746-439X
Jeroen Van SchependomCenter for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.
Lars CostersCenter for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.
Marie D'hoogheCenter for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.
Miguel D'haeseleerCenter for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.
Mark WoolrichOxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
Serge GoldmanLaboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.
Guy NagelsCenter for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.
Xavier De TiègeLaboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.ORCID 0000-0003-0127-089X
Vrije Universiteit Brussel · BEUniversité Libre de Bruxelles · BEUniversity of Oxford · GB

Funding

Department of HealthMedical Research Council MR/K005464/1Wellcome TrustWellcome Trust 106183/Z/14/ZWellcome Trust 203139/Z/16/Z
6 · The paper itself

Abstract

The pathophysiology of cognitive dysfunction in multiple sclerosis (MS) is still unclear. This magnetoencephalography (MEG) study investigates the impact of MS on brain resting-state functional connectivity (rsFC) and its relationship to disability and cognitive impairment. We investigated rsFC based on power envelope correlation within and between different frequency bands, in a large cohort of participants consisting of 99 MS patients and 47 healthy subjects. Correlations were investigated between rsFC and outcomes on disability, disease duration and 7 neuropsychological scores within each group, while stringently correcting for multiple comparisons and possible confounding factors. Specific dysconnections correlating with MS-induced physical disability and disease duration were found within the sensorimotor and language networks, respectively. Global network-level reductions in within- and cross-network rsFC were observed in the default-mode network. Healthy subjects and patients significantly differed in their scores on cognitive fatigue and verbal fluency. Healthy subjects and patients showed different correlation patterns between rsFC and cognitive fatigue or verbal fluency, both of which involved a shift in patients from the posterior default-mode network to the language network. Introducing electrophysiological rsFC in a regression model of verbal fluency and cognitive fatigue in MS patients significantly increased the explained variance compared to a regression limited to structural MRI markers (relative thalamic volume and lesion load). This MEG study demonstrates that MS induces distinct changes in the resting-state functional brain architecture that relate to disability, disease duration and specific cognitive functioning alterations. It highlights the potential value of electrophysiological intrinsic rsFC for monitoring the cognitive impairment in patients with MS.

Indexed as

ConnectomeAdultCerebral CortexCognitive DysfunctionDefault Mode NetworkFemaleHumansMagnetoencephalographyMaleMiddle AgedMultiple SclerosisNerve NetSeverity of Illness Indexcognitive fatiguecognitive impairmentfunctional connectivitymagnetoencephalographymultiple sclerosis

Identifiers

PMID33242237
PMCPMC7814767
OpenAlexW3093968683

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.