Evidence map›Paper›PMID 32835824›Full record

ArticleNeuroImage2020

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI.

Da Ma, Manuel J Cardoso, Maria A Zuluaga, Marc Modat, Nick M Powell, Frances K Wiseman, Jon O Cleary, Benjamin Sinclair, Ian F Harrison, Bernard Siow and 9 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 9 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

19 authors at 8 institutions in 4 countries.

Da MaDepartment of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Centre for Advanced Biomedical Imaging, University College London, United Kingdom; School of Engineering Science, Simon Fraser University, Burnaby, Canada. Electronic address: da_ma@sfu.ca.
Manuel J CardosoDepartment of Medical Physics and Biomedical Engineering, University College London, United Kingdom; School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.
Maria A ZuluagaDepartment of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Data Science Department, EURECOM, France.
Marc ModatDepartment of Medical Physics and Biomedical Engineering, University College London, United Kingdom; School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.
Nick M PowellDepartment of Medical Physics and Biomedical Engineering, University College London, United Kingdom; Centre for Advanced Biomedical Imaging, University College London, United Kingdom.
Frances K WisemanUK Dementia Research Institute at University College London, UK London; Down Syndrome Consortium (LonDownS), London, United Kingdom.
Jon O ClearyCentre for Advanced Biomedical Imaging, University College London, United Kingdom; Department of Radiology, Guy´s and St Thomas' NHS Foundation Trust, United Kingdom; Melbourne Brain Centre Imaging Unit, Department of Medicine and Radiology, University of Melbourne, Melbourne, Australia.
Benjamin SinclairCentre for Advanced Biomedical Imaging, University College London, United Kingdom.
Ian F HarrisonCentre for Advanced Biomedical Imaging, University College London, United Kingdom.
Bernard SiowCentre for Advanced Biomedical Imaging, University College London, United Kingdom; The Francis Crick Institute, London, United Kingdom.
Karteek PopuriSchool of Engineering Science, Simon Fraser University, Burnaby, Canada.
Sieun LeeSchool of Engineering Science, Simon Fraser University, Burnaby, Canada.
Joanne A MatsubaraDepartment of Ophthalmology & Visual Science, University of British Columbia, Vancouver, Canada.
Marinko V SarunicSchool of Engineering Science, Simon Fraser University, Burnaby, Canada.
Mirza Faisal BegSchool of Engineering Science, Simon Fraser University, Burnaby, Canada.
Victor L J TybulewiczThe Francis Crick Institute, London, United Kingdom; Department of Immunology and Inflammation, Imperial College, London, United Kingdom.
Elizabeth M C FisherInstitute of Neurology, University College London, United Kingdom.
Mark F LythgoeCentre for Advanced Biomedical Imaging, University College London, United Kingdom.
Sebastien OurselinDepartment of Medical Physics and Biomedical Engineering, University College London, United Kingdom; School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom.
Simon Fraser University · CAUniversity College London · GBKing's College London · GBThe Francis Crick Institute · GBEURECOM · FRThe University of Melbourne · AUUK Dementia Research Institute · GBUniversity of British Columbia · CA

Funding

Cancer Research UKCancer Research UK FC001194CIHRDepartment of Health BW.MN.BRC10269Medical Research Council FC001194Medical Research Council MR/G0900207-3/1Medical Research Council MR/J01107X/1Medical Research Council MR/J013110/1Medical Research Council MR/K026739/1Medical Research Council U117527252Wellcome Trust 080174Wellcome Trust 098327Wellcome Trust 098328Wellcome Trust FC001194
6 · The paper itself

Abstract

Down Syndrome is a chromosomal disorder that affects the development of cerebellar cortical lobules. Impaired neurogenesis in the cerebellum varies among different types of neuronal cells and neuronal layers. In this study, we developed an imaging analysis framework that utilizes gadolinium-enhanced ex vivo mouse brain MRI. We extracted the middle Purkinje layer of the mouse cerebellar cortex, enabling the estimation of the volume, thickness, and surface area of the entire cerebellar cortex, the internal granular layer, and the molecular layer in the Tc1 mouse model of Down Syndrome. The morphometric analysis of our method revealed that a larger proportion of the cerebellar thinning in this model of Down Syndrome resided in the inner granule cell layer, while a larger proportion of the surface area shrinkage was in the molecular layer.

Indexed as

AnimalsCerebellar CortexContrast MediaDisease Models, AnimalDown SyndromeGadoliniumImage EnhancementMagnetic Resonance ImagingMaleMice, Inbred C57BLNeuronsStaining and LabelingContrast MediaGadoliniumActive stainingCerebellar cortical laminar structureContrast-enhanced MRICortical morphometric analysisCortical surface areaCortical thicknessCortical volumeDown syndromeTc1

Identifiers

PMID32835824
PMCPMC8417772
OpenAlexW3080279842

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.