Evidence map›Paper›PMID 26848844›Full record

ArticlePloS one2016

Changes in Rat Brain Tissue Microstructure and Stiffness during the Development of Experimental Obstructive Hydrocephalus.

Lauriane Jugé, Alice C Pong, Andre Bongers, Ralph Sinkus, Lynne E Bilston, Shaokoon Cheng

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Mechanobiology of Myelin Generation/Regeneration in Health and Disease.Results and problems in cell differentiation · 2026
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  14. MR elastography: Principles, guidelines, and terminology.Magnetic resonance in medicine · 2021
    Review
  15. Article
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  17. Article
  18. Refractory epilepsy associated with ventriculoperitoneal shunt over-drainage: case report.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2019
    Article
  19. Biomechanical modeling and computer simulation of the brain during neurosurgery.International journal for numerical methods in biomedical engineering · 2019
    Review
  20. 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

6 authors at 3 institutions in 2 countries.

Lauriane JugéNeuroscience Research Australia, Margarete Ainsworth Building, Randwick, Australia.
Alice C PongNeuroscience Research Australia, Margarete Ainsworth Building, Randwick, Australia.
Andre BongersUniversity of New South Wales, Biological Resources Imaging Laboratory, Lowy Cancer Research Centre, Kensington, Australia.
Ralph SinkusKing's College London, Chair in Biomedical Engineering, Imaging Sciences & Biomedical Engineering Division Kings College, St. Thomas' Hospital, London, United Kingdom.
Lynne E BilstonNeuroscience Research Australia, Margarete Ainsworth Building, Randwick, Australia.
Shaokoon ChengNeuroscience Research Australia, Margarete Ainsworth Building, Randwick, Australia.
UNSW Sydney · AUNeuroscience Research Australia · AUSt Thomas' Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding neural injury in hydrocephalus and how the brain changes during the course of the disease in-vivo remain unclear. This study describes brain deformation, microstructural and mechanical properties changes during obstructive hydrocephalus development in a rat model using multimodal magnetic resonance (MR) imaging. Hydrocephalus was induced in eight Sprague-Dawley rats (4 weeks old) by injecting a kaolin suspension into the cisterna magna. Six sham-injected rats were used as controls. MR imaging (9.4T, Bruker) was performed 1 day before, and at 3, 7 and 16 days post injection. T2-weighted MR images were collected to quantify brain deformation. MR elastography was used to measure brain stiffness, and diffusion tensor imaging (DTI) was conducted to observe brain tissue microstructure. Results showed that the enlargement of the ventricular system was associated with a decrease in the cortical gray matter thickness and caudate-putamen cross-sectional area (P < 0.001, for both), an alteration of the corpus callosum and periventricular white matter microstructure (CC+PVWM) and rearrangement of the cortical gray matter microstructure (P < 0.001, for both), while compression without gross microstructural alteration was evident in the caudate-putamen and ventral internal capsule (P < 0.001, for both). During hydrocephalus development, increased space between the white matter tracts was observed in the CC+PVWM (P < 0.001), while a decrease in space was observed for the ventral internal capsule (P < 0.001). For the cortical gray matter, an increase in extracellular tissue water was significantly associated with a decrease in tissue stiffness (P = 0.001). To conclude, this study characterizes the temporal changes in tissue microstructure, water content and stiffness in different brain regions and their association with ventricular enlargement. In summary, whilst diffusion changes were larger and statistically significant for majority of the brain regions studied, the changes in mechanical properties were modest. Moreover, the effect of ventricular enlargement is not limited to the CC+PVWM and ventral internal capsule, the extent of microstructural changes vary between brain regions, and there is regional and temporal variation in brain tissue stiffness during hydrocephalus development.

Indexed as

AnimalsBrainElasticity Imaging TechniquesFemaleGray MatterHydrocephalusKaolinRats, Sprague-DawleyWhite MatterKaolin

Identifiers

PMID26848844
PMCPMC4743852
OpenAlexW2277453447

What OpenQuestion holds

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LicenceCC BY
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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.