Evidence map›Paper›PMID 32581993›Full record

ArticleFrontiers in neurology2020

Both Stationary and Dynamic Functional Interhemispheric Connectivity Are Strongly Associated With Performance on Cognitive Tests in Multiple Sclerosis.

Sue-Jin Lin, Shannon Kolind, Aiping Liu, Katrina McMullen, Irene Vavasour, Z Jane Wang, Anthony Traboulsee, Martin J McKeown

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Functional MRI and cognition in multiple sclerosis-Where are we now?Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Review
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

8 authors at 2 institutions in 1 country.

Sue-Jin LinGraduate Program in Neuroscience, University of British Columbia, Vancouver, BC, Canada.
Shannon KolindDivision of Neurology, Department of Medicine, UBC Hospital, University of British Columbia, Vancouver, BC, Canada.
Aiping LiuDepartment of Electrical and Computer Engineering Program, University of British Columbia, Vancouver, BC, Canada.
Katrina McMullenDivision of Neurology, Department of Medicine, UBC Hospital, University of British Columbia, Vancouver, BC, Canada.
Irene VavasourDepartment of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Z Jane WangDepartment of Electrical and Computer Engineering Program, University of British Columbia, Vancouver, BC, Canada.
Anthony TraboulseeDivision of Neurology, Department of Medicine, UBC Hospital, University of British Columbia, Vancouver, BC, Canada.
Martin J McKeownGraduate Program in Neuroscience, University of British Columbia, Vancouver, BC, 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

Although functional connectivity has been extensively studied in MS, robust estimates of both stationary (static connectivity at the time) and dynamic (connectivity variation across time) functional connectivity has not been commonly evaluated and neither has its association to cognition. In this study, we focused on interhemispheric connections as previous research has shown links between anatomical homologous connections and cognition. We examined functional interhemispheric connectivity (IC) in MS during resting-state functional MRI using both stationary and dynamic strategies and related connectivity measures to processing speed performance. Twenty-five patients with relapsing-remitting MS and 41 controls were recruited. Stationary functional IC was assessed between homologous Regions of Interest (ROIs) using correlation. For dynamic IC, a sliding window approach was used to quantify changes between homologous ROIs across time. We related IC measures to cognitive performance with correlation and regression. Compared to control subjects, MS demonstrated increased IC across homologous regions, which accurately predicted performance on the symbol digit modalities test (SDMT) (

Indexed as

dynamic functional connectivitymultiple sclerosispaced auditory serial addition testresting state fMRIstatic functional connectivitysymbol digit modalities test

Identifiers

PMID32581993
PMCPMC7287147
OpenAlexW3033535806

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.