Evidence map›Paper›PMID 29468785›Full record

ArticleHuman brain mapping2018

Explaining the heterogeneity of functional connectivity findings in multiple sclerosis: An empirically informed modeling study.

Prejaas Tewarie, Martijn D Steenwijk, Matthew J Brookes, Bernard M J Uitdehaag, Jeroen J G Geurts, Cornelis J Stam, Menno M Schoonheim

Open access · hybridAbstract 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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 43 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 2 countries.

Prejaas TewarieSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-3311-4990
Martijn D SteenwijkDepartment of Neurology, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.ORCID 0000-0002-8346-9044
Matthew J BrookesSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-8687-8185
Bernard M J UitdehaagDepartment of Neurology, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.
Jeroen J G GeurtsDepartment of Anatomy and Neurosciences, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.
Cornelis J StamDepartment of Clinical Neurophysiology and MEG center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.
Menno M SchoonheimDepartment of Anatomy and Neurosciences, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.
Amsterdam Neuroscience · NLUniversity of Nottingham · GB

Funding

Medical Research Council MR/J01186X/1Medical Research Council MR/K005464/1Medical Research Council MR/M006301/1
6 · The paper itself

Abstract

To understand the heterogeneity of functional connectivity results reported in the literature, we analyzed the separate effects of grey and white matter damage on functional connectivity and networks in multiple sclerosis. For this, we employed a biophysical thalamo-cortical model consisting of interconnected cortical and thalamic neuronal populations, informed and amended by empirical diffusion MRI tractography data, to simulate functional data that mimic neurophysiological signals. Grey matter degeneration was simulated by decreasing within population connections and white matter degeneration by lowering between population connections, based on lesion predilection sites in multiple sclerosis. For all simulations, functional connectivity and functional network organization are quantified by phase synchronization and network integration, respectively. Modeling results showed that both cortical and thalamic grey matter damage induced a global increase in functional connectivity, whereas white matter damage induced an initially increased connectivity followed by a global decrease. Both white and especially grey matter damage, however, induced a decrease in network integration. These empirically informed simulations show that specific topology and timing of structural damage are nontrivial aspects in explaining functional abnormalities in MS. Insufficient attention to these aspects likely explains contradictory findings in multiple sclerosis functional imaging studies so far.

Indexed as

Models, NeurologicalBiophysicsBrainHumansLeukoencephalopathiesMultiple SclerosisNerve DegenerationNerve NetNeural PathwaysThalamusbiophysical modelingfunctional connectivityfunctional networksgrey matter damagemultiple sclerosiswhite matter damage

Identifiers

PMID29468785
PMCPMC5969233
OpenAlexW2792510705

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.