4.7 Article Data Paper

Multicenter dataset of multi-shell diffusion MRI in healthy traveling adults with identical settings

期刊

SCIENTIFIC DATA
卷 7, 期 1, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41597-020-0493-8

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资金

  1. National Key R&D Program of China [2017YFC0909200]
  2. National Natural Science Foundation of China [81871428]
  3. Shanghai Key Laboratory of Psychotic Disorders [13dz2260500, K18-515007-007]
  4. Major Scientific Project of Zhejiang Lab [2018DG0ZX01]
  5. Fundamental Research Funds for the Central Universities [2019QNA5026, 2019XZZX001-01-08]
  6. Zhejiang Province Laboratory Work Research Project [YB201730]
  7. Beijing Municipal Science and Technology Project of Brain Cognition and Brain Medicine [Z171100000117001]
  8. Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support [ZYLX201609]
  9. Beijing Talents Foundation [2016000021223TD07]
  10. Capacity Building for Sci-Tech Innovation -Fundamental Scientific Research Funds [19530050157, 19530050184]
  11. Beijing Brain Initiative of Beijing Municipal Science & Technology Commission
  12. Zhejiang University Education Foundation Global Partnership Fund

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Multicenter diffusion magnetic resonance imaging (MRI) has drawn great attention recently due to the expanding need for large-scale brain imaging studies, whereas the variability in MRI scanners and data acquisition tends to confound reliable individual-based analysis of diffusion measures. In addition, a growing number of multi-shell diffusion models have been shown with the potential to generate various estimates of physio-pathological information, yet their reliability and reproducibility in multicenter studies remain to be assessed. In this article, we describe a multi-shell diffusion dataset collected from three traveling subjects with identical acquisition settings in ten imaging centers. Both the scanner type and imaging protocol for anatomical and diffusion imaging were well controlled. This dataset is expected to replenish individual reproducible studies via multicenter collaboration by providing an open resource for advanced and novel microstructural and tractography modelling and quantification.

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