Evidence map›Paper›PMID 39032791›Full record

ArticleNeuroImage2024

High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain.

Xinyue Han, Surendra Maharjan, Jie Chen, Yi Zhao, Yi Qi, Leonard E White, G Allan Johnson, Nian Wang

Abstract read
In one paragraph

Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Diffusion MRI reveals amyloid plaque-associated cellular signatures through spatial transcriptomic integration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  11. MR-AIV revealsbioRxiv : the preprint server for biology · 2025
    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

8 authors.

Xinyue HanDepartment of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Surendra MaharjanDepartment of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA.
Jie ChenDepartment of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA.
Yi ZhaoDepartment of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN, USA.
Yi QiCenter for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, USA.
Leonard E WhiteDepartment of Neurology, Duke University Medical Center, Durham, NC, USA.
G Allan JohnsonCenter for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Nian WangDepartment of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA; Stark Neurosciences Research Institute, Indiana University, Indianapolis, IN, USA. Electronic address: nianwang@iu.edu.

Funding

INTEGRATED CENTER FOR IN VIVO MICROSCOPYP41EB015897 · NIBIB · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2017
$7.4M
Characterization of Whole Brain Demyelination and Axon Damage Using High-resolution Magnetic Resonance ImagingR01NS125020 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI Nian Wang · 2022 to 2026
$2.0M
Agilent Direct Drive 9.4T MRS/MRI ConsoleS10OD010683 · OD · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2012
$597k
NIBIB NIH HHS P41 EB015897NIH HHS S10 OD010683NINDS NIH HHS R01 NS125020
6 · The paper itself

Abstract

Brain development is a highly complex process regulated by numerous genes at the molecular and cellular levels. Brain tissue exhibits serial microstructural changes during the development process. High-resolution diffusion magnetic resonance imaging (dMRI) affords a unique opportunity to probe these changes in the developing brain non-destructively. In this study, we acquired multi-shell dMRI datasets at 32 µm isotropic resolution to investigate the tissue microstructure alterations, which we believe to be the highest spatial resolution dMRI datasets obtained for postnatal mouse brains. We adapted the Allen Developing Mouse Brain Atlas (ADMBA) to integrate quantitative MRI metrics and spatial transcriptomics. Diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and neurite orientation dispersion and density imaging (NODDI) metrics were used to quantify brain development at different postnatal days. We demonstrated that the differential evolutions of fiber orientation distributions contribute to the distinct development patterns in white matter (WM) and gray matter (GM). Furthermore, the genes enriched in the nervous system that regulate brain structure and function were expressed in spatial correlation with age-matched dMRI. This study is the first one providing high-resolution dMRI, including DTI, DKI, and NODDI models, to trace mouse brain microstructural changes in WM and GM during postnatal development. This study also highlighted the genotype-phenotype correlation of spatial transcriptomics and dMRI, which may improve our understanding of brain microstructure changes at the molecular level.

Indexed as

BrainDiffusion Magnetic Resonance ImagingTranscriptomeAnimalsDiffusion Tensor ImagingFemaleGray MatterMaleMiceMice, Inbred C57BLWhite MatterBrain developmentDiffusion magnetic resonance imagingDKIDTINODDISpatial transcriptomics

Identifiers

PMID39032791
PMCPMC11377129

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.