Evidence map›Paper›PMID 32087047›Full record

ArticleHuman brain mapping2020

Alterations and test-retest reliability of functional connectivity network measures in cerebral small vessel disease.

Benno Gesierich, Anil Man Tuladhar, Annemieke Ter Telgte, Kim Wiegertjes, Marek J Konieczny, Sofia Finsterwalder, Mathias Hübner, Lukas Pirpamer, Marisa Koini, Ahmed Abdulkadir and 8 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Advanced MRI in cerebral small vessel disease.International journal of stroke : official journal of the International Stroke Society · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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
  16. Review
  17. Article
  18. Article
  19. Article
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

18 authors at 4 institutions in 4 countries.

Benno GesierichInstitute for Stroke and Dementia Research (ISD), University Hospital, Munich, Germany.ORCID 0000-0003-2842-7105
Anil Man TuladharDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-4815-2834
Annemieke Ter TelgteDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0003-4841-6761
Kim WiegertjesDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0001-7480-1482
Marek J KoniecznyInstitute for Stroke and Dementia Research (ISD), University Hospital, Munich, Germany.
Sofia FinsterwalderInstitute for Stroke and Dementia Research (ISD), University Hospital, Munich, Germany.
Mathias HübnerInstitute for Stroke and Dementia Research (ISD), University Hospital, Munich, Germany.
Lukas PirpamerDepartment of Neurology, Medical University of Graz, Graz, Austria.ORCID 0000-0002-4390-9703
Marisa KoiniDepartment of Neurology, Medical University of Graz, Graz, Austria.ORCID 0000-0002-1756-1379
Ahmed AbdulkadirUniversity Hospital of Old Age Psychiatry, Universitäre Psychiatrische Dienste (UPD) Bern, University of Bern, Bern, Switzerland.ORCID 0000-0003-4679-8081
Nicolai FranzmeierInstitute for Stroke and Dementia Research (ISD), University Hospital, Munich, Germany.ORCID 0000-0001-9736-2283
David G NorrisDonders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, The Netherlands.
José P MarquesDonders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, The Netherlands.
Peter Zu EulenburgGerman Center for Vertigo and Balance Disorders, University Hospital, Munich, Germany.ORCID 0000-0002-3729-4570
Michael EwersInstitute for Stroke and Dementia Research (ISD), University Hospital, Munich, Germany.ORCID 0000-0001-5231-1714
Reinhold SchmidtDepartment of Neurology, Medical University of Graz, Graz, Austria.
Frank-Erik de LeeuwDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Marco DueringInstitute for Stroke and Dementia Research (ISD), University Hospital, Munich, Germany.ORCID 0000-0003-2302-3136
LMU Klinikum · DERadboud University Nijmegen · NLMedical University of Graz · ATUniversity of Bern · CH

Funding

Austrian Science Fund FWF I 2889
6 · The paper itself

Abstract

While structural network analysis consolidated the hypothesis of cerebral small vessel disease (SVD) being a disconnection syndrome, little is known about functional changes on the level of brain networks. In patients with genetically defined SVD (CADASIL, n = 41) and sporadic SVD (n = 46), we independently tested the hypothesis that functional networks change with SVD burden and mediate the effect of disease burden on cognitive performance, in particular slowing of processing speed. We further determined test-retest reliability of functional network measures in sporadic SVD patients participating in a high-frequency (monthly) serial imaging study (RUN DMC-InTENse, median: 8 MRIs per participant). Functional networks for the whole brain and major subsystems (i.e., default mode network, DMN; fronto-parietal task control network, FPCN; visual network, VN; hand somatosensory-motor network, HSMN) were constructed based on resting-state multi-band functional MRI. In CADASIL, global efficiency (a graph metric capturing network integration) of the DMN was lower in patients with high disease burden (standardized beta = -.44; p [corrected] = .035) and mediated the negative effect of disease burden on processing speed (indirect path: std. beta = -.20, p = .047; direct path: std. beta = -.19, p = .25; total effect: std. beta = -.39, p = .02). The corresponding analyses in sporadic SVD showed no effect. Intraclass correlations in the high-frequency serial MRI dataset of the sporadic SVD patients revealed poor test-retest reliability and analysis of individual variability suggested an influence of age, but not disease burden, on global efficiency. In conclusion, our results suggest that changes in functional connectivity networks mediate the effect of SVD-related brain damage on cognitive deficits. However, limited reliability of functional network measures, possibly due to age-related comorbidities, impedes the analysis in elderly SVD patients.

Indexed as

Cerebral Small Vessel DiseasesCognitive DysfunctionDefault Mode NetworkNerve NetAdultAgedAged, 80 and overCADASILConnectomeCross-Sectional StudiesDiffusion Tensor ImagingFemaleHumansLongitudinal StudiesMaleMiddle Agedcerebrovascular diseasecognitionfunctional brain imagingfunctional networksresting-state fMRItest-retest reliability

Identifiers

PMID32087047
PMCPMC7294060
OpenAlexW3007724714

What OpenQuestion holds

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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.