Evidence map›Paper›PMID 30240533›Full record

ArticleHuman brain mapping2018

Education, and the balance between dynamic and stationary functional connectivity jointly support executive functions in relapsing-remitting multiple sclerosis.

Sue-Jin Lin, Irene Vavasour, Brenda Kosaka, David K B Li, Anthony Traboulsee, Alex MacKay, Martin J McKeown

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 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

7 authors at 2 institutions in 1 country.

Sue-Jin LinGraduate Program in Neuroscience, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-0044-7446
Irene VavasourDepartment of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
Brenda KosakaDepartment of Psychiatry, University of British Columbia Hospital, Vancouver, British Columbia, Canada.
David K B LiDepartment of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
Anthony TraboulseeFaculty of Medicine, Neurology, University of British Columbia, Vancouver, British Columbia, Canada.
Alex MacKayDepartment of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
Martin J McKeownGraduate Program in Neuroscience, University of British Columbia, Vancouver, British Columbia, Canada.
University of British Columbia · CAUniversity of British Columbia Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphical network characteristics and nonstationary functional connectivity features, both derived from resting-state functional magnetic resonance imaging (rsfMRI) data, have been associated with cognitive performance in healthy subjects. How these features jointly relate to cognition in diseased states has not been investigated. In this study, 46 relapsing-remitting multiple sclerosis subjects underwent rsfMRI scans and a focused cognitive battery. With a sliding window approach, we examined six dynamic network features that indicated how connectivity changed over time as well as six measures derived from graph theory to reflect static network characteristics. Multiset canonical correlation analysis (MCCA) was then carried out to investigate the relations between dynamic network features, stationary network characteristics, cognitive testing, demographic, disease severity, and mood. Multiple sclerosis (MS) subjects demonstrated weaker connectivity strength, decreased network density, reduced global changes, but increased changes in interhemispheric connectivity compared to controls. The MCCA model determined that executive functions and processing speed ability measured by Wechsler Adult Intelligence Scale IV (WAIS-IV) Working Memory Index, WAIS-IV Processing Speed Index, and the Verbal Fluency Test were positively correlated with education, dynamic connectivity, and static connectivity strength; while poor task switching was correlated with disease severity, psychiatric comorbidities such as depression, anxiety, and fatigue, and static network density. Taken together, our results suggest that better executive functioning in MS requires maintenance of a continued coordination between stationary and dynamic functional connectivity as well as the support of education, and dynamic functional connectivity may provide an additional cognitive biomarker of disease severity in the MS population.

Indexed as

Educational StatusAdultCerebral CortexConnectomeExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple Sclerosis, Relapsing-RemittingNerve NetSeverity of Illness Indexcognitive functiondynamic functional connectivitygraph theorymultiset canonical correlation analysisnetwork characteristicsresting-state fMRIsliding window approach

Identifiers

PMID30240533
PMCPMC6866468
OpenAlexW2892635209

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.