Evidence map›Paper›PMID 27935154›Full record

ArticleHuman brain mapping2017

Disruption of rich club organisation in cerebral small vessel disease.

Anil M Tuladhar, Andrew Lawrence, David G Norris, Thomas R Barrick, Hugh S Markus, Frank-Erik de Leeuw

Abstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
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

42 citing papers in PubMed.

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  13. Advanced MRI in cerebral small vessel disease.International journal of stroke : official journal of the International Stroke Society · 2023
    Review
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  17. Systematic validation of structural brain networks in cerebral small vessel disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
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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

6 authors.

Anil M TuladharDepartment of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
Andrew LawrenceDepartment of Clinical Neurosciences, Neurology Unit, University of Cambridge, Cambridge, United Kingdom.
David G NorrisCentre for Cognitive Neuroimaging, Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
Thomas R BarrickSt. George's University of London, Neuroscience Research Centre, Cardiovascular and Cell Sciences Research Institute, London, United Kingdom.
Hugh S MarkusDepartment of Clinical Neurosciences, Neurology Unit, University of Cambridge, Cambridge, United Kingdom.
Frank-Erik de LeeuwDepartment of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral small vessel disease (SVD) is an important cause of vascular cognitive impairment. Recent studies have demonstrated that structural connectivity of brain networks in SVD is disrupted. However, little is known about the extent and location of the reduced connectivity in SVD. Here they investigate the rich club organisation-a set of highly connected and interconnected regions-and investigate whether there is preferential rich club disruption in SVD. Diffusion tensor imaging (DTI) and cognitive assessment were performed in a discovery sample of SVD patients (n = 115) and healthy control subjects (n = 50). Results were replicated in an independent dataset (49 SVD with confluent WMH cases and 108 SVD controls) with SVD patients having a similar SVD phenotype to that of the discovery cases. Rich club organisation was examined in structural networks derived from DTI followed by deterministic tractography. Structural networks in SVD patients were less dense with lower network strength and efficiency. Reduced connectivity was found in SVD, which was preferentially located in the connectivity between the rich club nodes rather than in the feeder and peripheral connections, a finding confirmed in both datasets. In discovery dataset, lower rich club connectivity was associated with lower scores on psychomotor speed (β = 0.29, P < 0.001) and executive functions (β = 0.20, P = 0.009). These results suggest that SVD is characterized by abnormal connectivity between rich club hubs in SVD and provide evidence that abnormal rich club organisation might contribute to the development of cognitive impairment in SVD. Hum Brain Mapp 38:1751-1766, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

Diffusion Tensor ImagingAgedAged, 80 and overAnisotropyCerebral Small Vessel DiseasesCognition DisordersConnectomeDatabases, BibliographicFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedNerve Fibers, MyelinatedNeural PathwaysPsychomotor Performancecerebral small vessel diseasediffusion tensor imaginggraph-theoryrich club organisationstructural networks

Identifiers

PMID27935154
PMCPMC6866838

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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.