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The Digital Brain Bank, an open access platform for post-mortem imaging datasets
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 pl...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042233/ https://www.ncbi.nlm.nih.gov/pubmed/35297760 http://dx.doi.org/10.7554/eLife.73153 |
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author | Tendler, Benjamin C Hanayik, Taylor Ansorge, Olaf Bangerter-Christensen, Sarah Berns, Gregory S Bertelsen, Mads F Bryant, Katherine L Foxley, Sean van den Heuvel, Martijn P Howard, Amy FD Huszar, Istvan N Khrapitchev, Alexandre A Leonte, Anna Manger, Paul R Menke, Ricarda AL Mollink, Jeroen Mortimer, Duncan Pallebage-Gamarallage, Menuka Roumazeilles, Lea Sallet, Jerome Scholtens, Lianne H Scott, Connor Smart, Adele Turner, Martin R Wang, Chaoyue Jbabdi, Saad Mars, Rogier B Miller, Karla L |
author_facet | Tendler, Benjamin C Hanayik, Taylor Ansorge, Olaf Bangerter-Christensen, Sarah Berns, Gregory S Bertelsen, Mads F Bryant, Katherine L Foxley, Sean van den Heuvel, Martijn P Howard, Amy FD Huszar, Istvan N Khrapitchev, Alexandre A Leonte, Anna Manger, Paul R Menke, Ricarda AL Mollink, Jeroen Mortimer, Duncan Pallebage-Gamarallage, Menuka Roumazeilles, Lea Sallet, Jerome Scholtens, Lianne H Scott, Connor Smart, Adele Turner, Martin R Wang, Chaoyue Jbabdi, Saad Mars, Rogier B Miller, Karla L |
author_sort | Tendler, Benjamin C |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9042233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-90422332022-04-27 The Digital Brain Bank, an open access platform for post-mortem imaging datasets Tendler, Benjamin C Hanayik, Taylor Ansorge, Olaf Bangerter-Christensen, Sarah Berns, Gregory S Bertelsen, Mads F Bryant, Katherine L Foxley, Sean van den Heuvel, Martijn P Howard, Amy FD Huszar, Istvan N Khrapitchev, Alexandre A Leonte, Anna Manger, Paul R Menke, Ricarda AL Mollink, Jeroen Mortimer, Duncan Pallebage-Gamarallage, Menuka Roumazeilles, Lea Sallet, Jerome Scholtens, Lianne H Scott, Connor Smart, Adele Turner, Martin R Wang, Chaoyue Jbabdi, Saad Mars, Rogier B Miller, Karla L eLife Neuroscience 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. eLife Sciences Publications, Ltd 2022-03-17 /pmc/articles/PMC9042233/ /pubmed/35297760 http://dx.doi.org/10.7554/eLife.73153 Text en © 2022, Tendler et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Tendler, Benjamin C Hanayik, Taylor Ansorge, Olaf Bangerter-Christensen, Sarah Berns, Gregory S Bertelsen, Mads F Bryant, Katherine L Foxley, Sean van den Heuvel, Martijn P Howard, Amy FD Huszar, Istvan N Khrapitchev, Alexandre A Leonte, Anna Manger, Paul R Menke, Ricarda AL Mollink, Jeroen Mortimer, Duncan Pallebage-Gamarallage, Menuka Roumazeilles, Lea Sallet, Jerome Scholtens, Lianne H Scott, Connor Smart, Adele Turner, Martin R Wang, Chaoyue Jbabdi, Saad Mars, Rogier B Miller, Karla L The Digital Brain Bank, an open access platform for post-mortem imaging datasets |
title | The Digital Brain Bank, an open access platform for post-mortem imaging datasets |
title_full | The Digital Brain Bank, an open access platform for post-mortem imaging datasets |
title_fullStr | The Digital Brain Bank, an open access platform for post-mortem imaging datasets |
title_full_unstemmed | The Digital Brain Bank, an open access platform for post-mortem imaging datasets |
title_short | The Digital Brain Bank, an open access platform for post-mortem imaging datasets |
title_sort | digital brain bank, an open access platform for post-mortem imaging datasets |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042233/ https://www.ncbi.nlm.nih.gov/pubmed/35297760 http://dx.doi.org/10.7554/eLife.73153 |
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