Evidence map›Paper›PMID 29213008›Full record

ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2018

The Relationship between Neurite Density Measured with Confocal Microscopy in a Cleared Mouse Brain and Metrics Obtained from Diffusion Tensor and Diffusion Kurtosis Imaging.

Ryusuke Irie, Koji Kamagata, Aurelien Kerever, Ryo Ueda, Suguru Yokosawa, Yosuke Otake, Hisaaki Ochi, Hidekazu Yoshizawa, Ayato Hayashi, Kazuhiko Tagawa and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Differential cortical microstructural maturation in the preterm human brain with diffusion kurtosis and tensor imaging.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

16 authors at 6 institutions in 1 country.

Ryusuke IrieDepartment of Radiology, Juntendo University School of Medicine.
Koji KamagataDepartment of Radiology, Juntendo University School of Medicine.
Aurelien KereverResearch Institute for Diseases of Old Age, Juntendo University Graduate School of Medicine.
Ryo UedaDepartment of Radiological Sciences, Tokyo Metropolitan University Graduate School of Human Health Sciences.
Suguru YokosawaResearch & Development Group, Hitachi Ltd.
Yosuke OtakeResearch & Development Group, Hitachi Ltd.
Hisaaki OchiResearch & Development Group, Hitachi Ltd.
Hidekazu YoshizawaDepartment of Plastic and Reconstructive Surgery, Juntendo University Graduate School of Medicine.
Ayato HayashiDepartment of Plastic and Reconstructive Surgery, Juntendo University Urayasu Hospital.
Kazuhiko TagawaDepartment of Neuropathology, Tokyo Medical and Dental University.
Hitoshi OkazawaDepartment of Neuropathology, Tokyo Medical and Dental University.
Kohske TakahashiDepartment of Psychology, Chukyo University.
Kanako SatoDepartment of Radiology, Juntendo University School of Medicine.
Masaaki HoriDepartment of Radiology, Juntendo University School of Medicine.
Eri Arikawa-HirasawaResearch Institute for Diseases of Old Age, Juntendo University Graduate School of Medicine.
Shigeki AokiDepartment of Radiology, Juntendo University School of Medicine.
Juntendo University · JPTokyo Medical and Dental University · JPChukyo University · JPJuntendo University Urayasu Hospital · JPThe University of Tokyo · JPTokyo Metropolitan University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiffusional kurtosis imaging (DKI) enables sensitive measurement of tissue microstructure by quantifying the non-Gaussian diffusion of water. Although DKI is widely applied in many situations, histological correlation with DKI analysis is lacking. The purpose of this study was to determine the relationship between DKI metrics and neurite density measured using confocal microscopy of a cleared mouse brain.

methodsOne thy-1 yellow fluorescent protein 16 mouse was deeply anesthetized and perfusion fixation was performed. The brain was carefully dissected out and whole-brain MRI was performed using a 7T animal MRI system. DKI and diffusion tensor imaging (DTI) data were obtained. After the MRI scan, brain sections were prepared and then cleared using aminoalcohols (CUBIC). Confocal microscopy was performed using a two-photon confocal microscope with a laser. Forty-eight ROIs were set on the caudate putamen, seven ROIs on the anterior commissure, and seven ROIs on the ventral hippocampal commissure on the confocal microscopic image and a corresponding MR image. In each ROI, histological neurite density and the metrics of DKI and DTI were calculated. The correlations between diffusion metrics and neurite density were analyzed using Pearson correlation coefficient analysis.

resultsMean kurtosis (MK) (P = 5.2 × 10

conclusionDKI accurately reflected neurite density in the area with crossing fibers, potentially allowing evaluation of complex microstructures.

Indexed as

BrainAnimalsAnisotropyDiffusionDiffusion Tensor ImagingMiceMicroscopy, ConfocalNeuritesWaterWaterconfocal microscopydiffusion magnetic resonance imaginghistocytological preparation techniquesmicemutant strainsnonGaussian

Identifiers

PMID29213008
PMCPMC5891339
OpenAlexW2775451644

What OpenQuestion holds

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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.