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The Digital Brain Bank, an open access platform for post-mortem imaging datasets.
- Source :
-
ELife [Elife] 2022 Mar 17; Vol. 11. Date of Electronic Publication: 2022 Mar 17. - Publication Year :
- 2022
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Abstract
- 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.<br />Competing Interests: BT, TH, OA, SB, GB, MB, KB, SF, Mv, AH, IH, AK, AL, PM, RM, JM, DM, MP, LR, JS, LS, CS, AS, MT, CW, RM No competing interests declared, SJ, KM Reviewing editor, eLife<br /> (© 2022, Tendler et al.)
Details
- Language :
- English
- ISSN :
- 2050-084X
- Volume :
- 11
- Database :
- MEDLINE
- Journal :
- ELife
- Publication Type :
- Academic Journal
- Accession number :
- 35297760
- Full Text :
- https://doi.org/10.7554/eLife.73153