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A longitudinal microstructural MRI dataset in healthy C57Bl/6 mice at 9.4 Tesla
| Description: | 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, 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 different registration and preprocessing pipelines. |
| Notes: | This dataset is made available under a CC-BY license <https://creativecommons.org/licenses/by/4.0/>, however, the file code_scidata_paper/niiCombDiffAve/MPdenoising.m has an additional non-commercial clause and may only be used or copied for non-commercial research. Please cite Jelle Veraart (2016) and see the file header for its full terms of use. In addition, the Turone Mouse Brain Template and Atlas in Registration/atlas/TMBTA_Brain_Template and Registration/atlas/TMBTA_Brain_Labels may only be used for non-commercial purposes. Please cite David André Barrière (2019) and visit https://www.nitrc.org/projects/tmbta_2019/ in the NeuroImaging Tools and Resources Collaboratory for full terms of use. |
| Authors: | Rahman, Naila; Western University Xu, Kathy; Western University Budde, Matthew D.; Medical College of Wisconsin Brown, Arthur; Western University Baron, Corey A.; Western University |
| Keywords: | Diffusion MRI Magnetization Transfer MRI Microstructure Longitudinal in vivo Imaging Multimodal MRI Preclinical Rodent brain |
| Field of Research: | Basic medicine and life sciences > Neurosciences, medical and physiological and health aspects > Central nervous system
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| Publication Date: | 2022-07-07 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Canada First Research Excellence Fund; BrainsCAN New Frontiers in Research Fund; NFRFE-2018-01290 Natural Sciences and Engineering Research Council of Canada; Canada Graduate Scholarships - Master’s Program Ontario Graduate Scholarship (OGS) Program |
| URI: | https://doi.org/10.20383/103.0594 |
| Related Identifiers: |
This dataset is supplemented by
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| Geographic Coverage: | Place Name Robarts Research Institute, University of Western Ontario City London Province / Province / Territory Ontario Territory Country Canada |
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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Rahman, N., Xu, K., Budde, M., Brown, A., Baron, C. (2022). A longitudinal microstructural MRI dataset in healthy C57Bl/6 mice at 9.4 Tesla. Federated Research Data Repository. https://doi.org/10.20383/103.0594
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