Evidence map›Paper›PMID 35415001›Full record

ArticleBiomedical optics express2022

Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models.

Matthieu Chourrout, Hugo Rositi, Elodie Ong, Violaine Hubert, Alexandre Paccalet, Louis Foucault, Awen Autret, Barbara Fayard, Cécile Olivier, Radu Bolbos and 8 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Revealing the MRI-Contrast in Optically Cleared Brains.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

18 authors at 7 institutions in 1 country.

Matthieu ChourroutUniv-Lyon, Lyon Neuroscience Research Center, CNRS UMR5292, Inserm U1028, Université Claude Bernard Lyon 1, Lyon, France.ORCID https://orcid.org/0000-0002-2282-6976
Hugo RositiUniv-Clermont Auvergne; CNRS; SIGMA Clermont; Institut Pascal, Clermont-Ferrand, France.
Elodie OngUniv-Lyon, CarMeN laboratory, Inserm U1060, INRA U1397, Université Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical School, F-69600, Oullins, France.
Violaine HubertUniv-Lyon, CarMeN laboratory, Inserm U1060, INRA U1397, Université Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical School, F-69600, Oullins, France.
Alexandre PaccaletUniv-Lyon, CarMeN laboratory, Inserm U1060, INRA U1397, Université Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical School, F-69600, Oullins, France.
Louis FoucaultUniv-Lyon, Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500 Bron, France.
Awen AutretNOVITOM, Grenoble, France.
Barbara FayardNOVITOM, Grenoble, France.
Cécile OlivierUniv-Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR5220, U1206, F-69621, France.
Radu BolbosCermep, Lyon, France.
Françoise PeyrinUniv-Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR5220, U1206, F-69621, France.
Claire Crola-da-SilvaUniv-Lyon, CarMeN laboratory, Inserm U1060, INRA U1397, Université Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical School, F-69600, Oullins, France.
David MeyronetUniv-Lyon, Hospices Civils de Lyon, Lyon, France.
Olivier RaineteauUniv-Lyon, Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500 Bron, France.
Héléne ElleaumeUniversité Grenoble Alpes, Inserm UA7 Strobe, Grenoble, France.
Emmanuel BrunUniversité Grenoble Alpes, Inserm UA7 Strobe, Grenoble, France.ORCID https://orcid.org/0000-0002-0332-4903
Fabien ChauveauUniv-Lyon, Lyon Neuroscience Research Center, CNRS UMR5292, Inserm U1028, Université Claude Bernard Lyon 1, Lyon, France.ORCID https://orcid.org/0000-0002-4177-741X
Marlene WiartUniv-Lyon, CarMeN laboratory, Inserm U1060, INRA U1397, Université Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical School, F-69600, Oullins, France.ORCID https://orcid.org/0000-0003-0326-7002
Laboratoire CarMeN · FRUniversité Claude Bernard Lyon 1 · FRCentre de Recherche en Neurosciences de Lyon · FRHospices Civils de Lyon · FRInstitut des langues et cultures d'Europe, Amérique, Afrique, Asie et Australie · FRCentre d'Exploration et de Recherche Médicale par Emission de Positons · FRSigma Clermont · FR

Funding

Enhancement of Research Infrastructure at UH HiloP20MD001125 · NIMHD · UNIVERSITY OF HAWAII AT HILO · PI TSENG, ROSE Y · 2004 to 2008
$4.0M
Broad-based Collaboratives to Address Health DisparitiesR24MD001094 · NIMHD · UNIVERSITY OF SOUTH ALABAMA · PI CROOK, ERROL D · 2004 to 2006
$1.2M
Appalachian Center of Translational Disparities ResearchR24MD001106 · NIMHD · EAST TENNESSEE STATE UNIVERSITY · PI EDWARDS, JOELLEN BECKETT · 2004 to 2006
$1.2M
NIMHD NIH HHS P20 MD001125NIMHD NIH HHS R24 MD001094NIMHD NIH HHS R24 MD001106
6 · The paper itself

Abstract

White-matter injury leads to severe functional loss in many neurological diseases. Myelin staining on histological samples is the most common technique to investigate white-matter fibers. However, tissue processing and sectioning may affect the reliability of 3D volumetric assessments. The purpose of this study was to propose an approach that enables myelin fibers to be mapped in the whole rodent brain with microscopic resolution and without the need for strenuous staining. With this aim, we coupled in-line (propagation-based) X-ray phase-contrast tomography (XPCT) to ethanol-induced brain sample dehydration. We here provide the proof-of-concept that this approach enhances myelinated axons in rodent and human brain tissue. In addition, we demonstrated that white-matter injuries could be detected and quantified with this approach, using three animal models: ischemic stroke, premature birth and multiple sclerosis. Furthermore, in analogy to diffusion tensor imaging (DTI), we retrieved fiber directions and DTI-like diffusion metrics from our XPCT data to quantitatively characterize white-matter microstructure. Finally, we showed that this non-destructive approach was compatible with subsequent complementary brain sample analysis by conventional histology. In-line XPCT might thus become a novel gold-standard for investigating white-matter injury in the intact brain. This is Part I of a series of two articles reporting the value of in-line XPCT for virtual histology of the brain; Part II shows how in-line XPCT enables the whole-brain 3D morphometric analysis of amyloid-

Identifiers

PMID35415001
PMCPMC8973191
OpenAlexW4225981848

What OpenQuestion holds

Textmetadata
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.