| Literature DB >> 35297760 |
Saad Jbabdi1, Rogier B Mars1,2, Karla L Miller1, Benjamin C Tendler1, Taylor Hanayik1, Olaf Ansorge3, Sarah Bangerter-Christensen3, Gregory S Berns4, Mads F Bertelsen5, Katherine L Bryant1, Sean Foxley1,6, Martijn P van den Heuvel7,8, Amy F D Howard1, Istvan N Huszar1, Alexandre A Khrapitchev9, Anna Leonte3, Paul R Manger10, Ricarda A L Menke1, Jeroen Mollink1, Duncan Mortimer1, Menuka Pallebage-Gamarallage3, Lea Roumazeilles11, Jerome Sallet11,12, Lianne H Scholtens7, Connor Scott3, Adele Smart1,3, Martin R Turner1,3, Chaoyue Wang1.
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.Entities:
Keywords: MRI; Microscopy; comparative neuroanatomy; data resource; human; human neuroanatomy; neuropathology; neuroscience; post-mortem
Mesh:
Year: 2022 PMID: 35297760 PMCID: PMC9042233 DOI: 10.7554/eLife.73153
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.713