ArticleScientific data2023
A longitudinal microstructural MRI dataset in healthy C57Bl/6 mice at 9.4 Tesla.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- MRI investigation of orientation-dependent changes in microstructure and function in a mouse model of mild traumatic brain injury.Acta neuropathologica communications · 2025Article
- The ANTsX ecosystem for mapping the mouse brain.Nature communications · 2025Article
- Microstructural maturation of the adult mouse brain.Communications biology · 2025Article
- The Duke Mouse Brain Atlas: MRI and light sheet microscopy stereotaxic atlas of the mouse brain.Science advances · 2025Article
- Modular strategies for spatial mapping of diverse cell type data of the mouse brain.Research square · 2025Article
- Regional analysis of myelin basic protein across postnatal brain development of C57BL/6J mice.Frontiers in neuroanatomy · 2025Article
- MBV-Pipe: A One-Stop Toolbox for Assessing Mouse Brain Morphological Changes for Cross-Scale Studies.Neuroinformatics · 2024Article
- Lymph Node Stations of Pancreas Which Are Identified in Real Color Sectioned Images of a Cadaver With Pancreatic Cancer.Journal of Korean medical science · 2023Article
- A longitudinal microstructural MRI dataset in healthy C57Bl/6 mice at 9.4 Tesla.Scientific data · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Multimodal microstructural MRI has shown increased sensitivity and specificity to changes in various brain disease and injury models in the preclinical setting. Here, we present an in vivo longitudinal dataset, including a subset of ex vivo data, acquired as control data and to investigate microstructural changes in the healthy mouse brain. The dataset consists of structural T2-weighted imaging, magnetization transfer ratio and saturation imaging, and advanced quantitative diffusion MRI (dMRI) methods. The dMRI methods include oscillating gradient spin echo (OGSE) dMRI and microscopic anisotropy (μA) dMRI, which provide additional insight by increasing sensitivity to smaller spatial scales and disentangling fiber orientation dispersion from true microstructural changes, respectively. The technical skills required to analyze microstructural MRI data are complex and include MRI sequence development, acquisition, and computational neuroimaging expertise. Here, we share unprocessed and preprocessed data, and scalar maps of quantitative MRI metrics. We envision utility of this dataset in the microstructural MRI field to develop and test biophysical models, methods that model temporal brain dynamics, and registration and preprocessing pipelines.
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Registered trials
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.