Biological Sciences Division
Published March 17, 2022 | Version v1
Journal article Open

The Digital Brain Bank, an open access platform for post-mortem imaging datasets

Creators

  • 1. University of Oxford
  • 2. Emory University
  • 3. Copenhagen Zoo
  • 4. University of Chicago
  • 5. Universiteit Amsterdam
  • 6. University of Witwatersrand
  • 7. Université Lyon 1

Description

Post-mortem magnetic resonance imaging (MRI) provides the opportunity to acquire high-resolution datasets to investigate neuroanatomy and validate the origins of image contrast through microscopy comparisons. We introduce the Digital Brain Bank (open.win.ox.ac.uk/DigitalBrainBank), a data release platform providing open access to curated, multimodal post-mortem neuroimaging datasets. Datasets span three themes—Digital Neuroanatomist: datasets for detailed neuroanatomical investigations; Digital Brain Zoo: datasets for comparative neuroanatomy; and Digital Pathologist: datasets for neuropathology investigations. The first Digital Brain Bank data release includes 21 distinctive whole-brain diffusion MRI datasets for structural connectivity investigations, alongside microscopy and complementary MRI modalities. This includes one of the highest-resolution whole-brain human diffusion MRI datasets ever acquired, whole-brain diffusion MRI in fourteen nonhuman primate species, and one of the largest post-mortem whole-brain cohort imaging studies in neurodegeneration. The Digital Brain Bank is the culmination of our lab’s investment into post-mortem MRI methodology and MRI-microscopy analysis techniques. This manuscript provides a detailed overview of our work with post-mortem imaging to date, including the development of diffusion MRI methods to image large post-mortem samples, including whole, human brains. Taken together, the Digital Brain Bank provides cross-scale, cross-species datasets facilitating the incorporation of post-mortem data into neuroimaging studies.

Notes

Due to the large number of authors, only the first 20 and the University of Chicago authors are included on the above author list. Please download the article for the complete list of authors.

Data availability

The Digital Brain Bank (https://open.win.ox.ac.uk/DigitalBrainBank) is a data release platform providing open access to curated, multimodal post-mortem neuroimaging datasets. All datasets described in this manuscript are available through the Digital Brain Bank, with details of access provided within the manuscript and on the website. Code for the Digital Brain Bank resource is available at https://git.fmrib.ox.ac.uk/thanayik/dbb. When available, details of associated processing code for each dataset is linked to the dataset's Information page on the Digital Brain Bank website. Source data for the corpus callosum analysis in Fig 3c is provided in a Supplementary File.

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Additional details

Identifiers

DOI
10.7554/eLife.73153
Other
oai:uchicago.tind.io:10843

Related works

Cites
https://doi.org/10.1101/2021.06.21.449154 (URL)

Funding

Wellcome Trust
202788/Z/16/Z
Wellcome Trust
222829/Z/21/Z
Medical Research Council, Alzheimer's UK and NIHR Oxford Biomedical Research Centre
Alfred Benzon's Foundation
Biotechnology and Biological Sciences Research Council
BB/N019814/1
Medical Research Council
MR/K02213X/1
Netherlands Organization for Scientific Research
VIDI-452-16-015
Netherlands Organization for Scientific Research
ALW-179
European Research Council
ERC-COG 101001062
Engineering and Physical Sciences Research Council
EP/L016052/1
Medical Research Council
MR/L009013/1
Cancer Research UK
C5255/A15935
National Research Foundation of South Africa
Medical Research Council
MR/K01014X/1
Biotechnology and Biological Sciences Research Council
Biotechnology and Biological Sciences Research Council
IDEXLYON IMPULSION 2020
IDEX/IMP/2020/14
Université de Lyon
Labex CORTEX
NIHR Oxford Biomedical Research Centre
Motor Neurone Disease Association
China Scholarship Council
Wellcome Trust
221933/Z/20/Z
Wellcome Trust
215573/Z/19/Z
Netherlands Organization for Scientific Research
452-13-015

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Radiology