Evidence map›Paper›PMID 32954263›Full record

ArticleBrain communications2019

Altered topology of large-scale structural brain networks in chronic stroke.

Bastian Cheng, Eckhard Schlemm, Robert Schulz, Marlene Boenstrup, Arnaud Messé, Claus Hilgetag, Christian Gerloff, Götz Thomalla

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% 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, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  16. Simulated Attack Reveals How Lesions Affect Network Properties in Poststroke Aphasia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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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

8 authors at 2 institutions in 2 countries.

Bastian ChengDepartment of Neurology, University Medical Center Hamburg-Eppendorf, D20246 Hamburg, Germany.ORCID 0000-0003-2434-1822
Eckhard SchlemmDepartment of Neurology, University Medical Center Hamburg-Eppendorf, D20246 Hamburg, Germany.
Robert SchulzDepartment of Neurology, University Medical Center Hamburg-Eppendorf, D20246 Hamburg, Germany.
Marlene BoenstrupDepartment of Neurology, University Medical Center Hamburg-Eppendorf, D20246 Hamburg, Germany.
Arnaud MesséInstitute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg 20252, Germany.
Claus HilgetagInstitute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg 20252, Germany.
Christian GerloffDepartment of Neurology, University Medical Center Hamburg-Eppendorf, D20246 Hamburg, Germany.
Götz ThomallaDepartment of Neurology, University Medical Center Hamburg-Eppendorf, D20246 Hamburg, Germany.
Universität Hamburg · DENational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beyond disruption of neuronal pathways, focal stroke lesions induce structural disintegration of distant, yet connected brain regions via retrograde neuronal degeneration. Stroke lesions alter functional brain connectivity and topology in large-scale brain networks. These changes are associated with the degree of clinical impairment and recovery. In contrast, changes of large scale, structural brain networks after stroke are less well reported. We therefore aimed to analyse the impact of focal lesions on the structural connectome after stroke based on data from diffusion-weighted imaging and probabilistic fibre tracking. In total, 17 patients (mean age 64.5 ± 8.4 years) with upper limb motor deficits in the chronic stage after stroke and 21 healthy participants (mean age 64.9 ± 10.3 years) were included. Clinical deficits were evaluated by grip strength and the upper extremity Fugl-Meyer assessment. We calculated global and local graph theoretical measures to characterize topological changes in the structural connectome. Results from our analysis demonstrated significant alterations of network topology in both ipsi- and contralesional, primarily unaffected, hemispheres after stroke. Global efficiency was significantly lower in stroke connectomes as an indicator of overall reduced capacity for information transfer between distant brain areas. Furthermore, topology of structural connectomes was shifted toward a higher degree of segregation as indicated by significantly higher values of global clustering and modularity. On a level of local network parameters, these effects were most pronounced in a subnetwork of cortico-subcortical brain regions involved in motor control. Structural changes were not significantly associated with clinical measures. We propose that the observed network changes in our patients are best explained by the disruption of inter- and intrahemispheric, long white matter fibre tracts connecting distant brain regions. Our results add novel insights on topological changes of structural large-scale brain networks in the ipsi- and contralesional hemisphere after stroke.

Indexed as

axon degenerationcerebral ischaemiaimaging methodologyplasticity

Identifiers

PMID32954263
PMCPMC7425306
OpenAlexW2977740913

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.