TY - JOUR
T1 - PET-BIDS, an extension to the brain imaging data structure for positron emission tomography
AU - Norgaard, Martin
AU - Matheson, Granville J.
AU - Hansen, Hanne D.
AU - Thomas, Adam
AU - Searle, Graham
AU - Rizzo, Gaia
AU - Veronese, Mattia
AU - Giacomel, Alessio
AU - Yaqub, Maqsood
AU - Tonietto, Matteo
AU - Funck, Thomas
AU - Gillman, Ashley
AU - Boniface, Hugo
AU - Routier, Alexandre
AU - Dalenberg, Jelle R.
AU - Betthauser, Tobey
AU - Feingold, Franklin
AU - Markiewicz, Christopher J.
AU - Gorgolewski, Krzysztof J.
AU - Blair, Ross W.
AU - Appelhoff, Stefan
AU - Gau, Remi
AU - Salo, Taylor
AU - Niso, Guiomar
AU - Pernet, Cyril
AU - Phillips, Christophe
AU - Oostenveld, Robert
AU - Gallezot, Jean Dominique
AU - Carson, Richard E.
AU - Knudsen, Gitte M.
AU - Innis, Robert B.
AU - Ganz, Melanie
N1 - Funding Information:
We are grateful to the Neurobiology Research Unit, Copenhagen, Denmark, and the Centre for Neuroimaging Sciences, IoPPN, Kings College London, London, UK, for providing the data presented in this manuscript, including uploading it to OpenNeuro. This work was supported by the Novo Nordisk Foundation (NNF20OC0063277) and the NIH (1ZIAMH002977-01). MN was supported by the Independent Research Fund Denmark (DFF-0129-00004B), and MG was supported by the Elsass foundation (18-3-0147). AG is supported by the KCL funded CDT in Data-Driven Health and this represents independent research part funded by the National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London and part funded by GlaxoSmithKline (GSK). FF, CM, and RB were supported by the National Institute Of Mental Health of the National Institutes of Health (R24MH117179).
Funding Information:
We are grateful to the Neurobiology Research Unit, Copenhagen, Denmark, and the Centre for Neuroimaging Sciences, IoPPN, Kings College London, London, UK, for providing the data presented in this manuscript, including uploading it to OpenNeuro. This work was supported by the Novo Nordisk Foundation (NNF20OC0063277) and the NIH (1ZIAMH002977-01). MN was supported by the Independent Research Fund Denmark (DFF-0129-00004B), and MG was supported by the Elsass foundation (18-3-0147). AG is supported by the KCL funded CDT in Data-Driven Health and this represents independent research part funded by the National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King?s College London and part funded by GlaxoSmithKline (GSK). FF, CM, and RB were supported by the National Institute Of Mental Health of the National Institutes of Health (R24MH117179).
PY - 2022/3/2
Y1 - 2022/3/2
N2 - The Brain Imaging Data Structure (BIDS) is a standard for organizing and describing neuroimaging datasets, serving not only to facilitate the process of data sharing and aggregation, but also to simplify the application and development of new methods and software for working with neuroimaging data. Here, we present an extension of BIDS to include positron emission tomography (PET) data, also known as PET-BIDS, and share several open-access datasets curated following PET-BIDS along with tools for conversion, validation and analysis of PET-BIDS datasets.
AB - The Brain Imaging Data Structure (BIDS) is a standard for organizing and describing neuroimaging datasets, serving not only to facilitate the process of data sharing and aggregation, but also to simplify the application and development of new methods and software for working with neuroimaging data. Here, we present an extension of BIDS to include positron emission tomography (PET) data, also known as PET-BIDS, and share several open-access datasets curated following PET-BIDS along with tools for conversion, validation and analysis of PET-BIDS datasets.
UR - http://www.scopus.com/inward/record.url?scp=85125611682&partnerID=8YFLogxK
U2 - 10.1038/s41597-022-01164-1
DO - 10.1038/s41597-022-01164-1
M3 - Comment/debate
C2 - 35236846
AN - SCOPUS:85125611682
VL - 9
SP - 65
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 65
ER -