The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services
- Autores
- Avesani, Paolo; McPherson, Brent; Hayashi, Soichi; Caiafa, César Federico; Henschel, Robert; Garyfallidis, Eleftherios; Kitchell, Lindsey; Bullock, Daniel; Patterson, Andrew; Olivetti, Emanuele; Sporns, Olaf; Saykin, Andrew J.; Wang, Lei; Dinov, Ivo; Hancock, David; Caron, Bradley; Qian, Yiming; Pestilli, Franco
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We describe the Open Diffusion Data Derivatives (O3D) repository: an integrated collection of preserved brain data derivatives and processing pipelines, published together using a single digital-objectidentifier. The data derivatives were generated using modern diffusion-weighted magnetic resonance imaging data (dMRI) with diverse properties of resolution and signal-to-noise ratio. In addition to the data, we publish all processing pipelines (also referred to as open cloud services). The pipelines utilize modern methods for neuroimaging data processing (diffusion-signal modelling, fiber tracking, tractography evaluation, white matter segmentation, and structural connectome construction). The O3D open services can allow cognitive and clinical neuroscientists to run the connectome mapping algorithms on new, user-uploaded, data. Open source code implementing all O3D services is also provided to allow computational and computer scientists to reuse and extend the processing methods. Publishing both data-derivatives and integrated processing pipeline promotes practices for scientific
Fil: Avesani, Paolo. Fondazione Bruno Kessler,; Italia
Fil: McPherson, Brent. Indiana University; Estados Unidos
Fil: Hayashi, Soichi. Indiana University; Estados Unidos
Fil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Henschel, Robert. Indiana University Bloomington; Estados Unidos
Fil: Garyfallidis, Eleftherios. Indiana University Bloomington; Estados Unidos
Fil: Kitchell, Lindsey. Indiana University Bloomington; Estados Unidos
Fil: Bullock, Daniel. Indiana University Bloomington; Estados Unidos
Fil: Patterson, Andrew. Indiana University Bloomington; Estados Unidos
Fil: Olivetti, Emanuele. University of Trento; Italia
Fil: Sporns, Olaf. Indiana University Bloomington; Estados Unidos
Fil: Saykin, Andrew J.. Indiana University; Estados Unidos
Fil: Wang, Lei. Northwestern University Feinberg School of Medicine; Estados Unidos
Fil: Dinov, Ivo. Indiana University Bloomington; Estados Unidos
Fil: Hancock, David. Indiana University Bloomington; Estados Unidos
Fil: Caron, Bradley. Indiana University Bloomington; Estados Unidos
Fil: Qian, Yiming. Indiana University Bloomington; Estados Unidos
Fil: Pestilli, Franco. Indiana University; Estados Unidos - Materia
-
Diffusion Imaging
Magnetic resonance imaging
Tractography
Human connector - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/106100
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
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The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud servicesAvesani, PaoloMcPherson, BrentHayashi, SoichiCaiafa, César FedericoHenschel, RobertGaryfallidis, EleftheriosKitchell, LindseyBullock, DanielPatterson, AndrewOlivetti, EmanueleSporns, OlafSaykin, Andrew J.Wang, LeiDinov, IvoHancock, DavidCaron, BradleyQian, YimingPestilli, FrancoDiffusion ImagingMagnetic resonance imagingTractographyHuman connectorhttps://purl.org/becyt/ford/3.4https://purl.org/becyt/ford/3We describe the Open Diffusion Data Derivatives (O3D) repository: an integrated collection of preserved brain data derivatives and processing pipelines, published together using a single digital-objectidentifier. The data derivatives were generated using modern diffusion-weighted magnetic resonance imaging data (dMRI) with diverse properties of resolution and signal-to-noise ratio. In addition to the data, we publish all processing pipelines (also referred to as open cloud services). The pipelines utilize modern methods for neuroimaging data processing (diffusion-signal modelling, fiber tracking, tractography evaluation, white matter segmentation, and structural connectome construction). The O3D open services can allow cognitive and clinical neuroscientists to run the connectome mapping algorithms on new, user-uploaded, data. Open source code implementing all O3D services is also provided to allow computational and computer scientists to reuse and extend the processing methods. Publishing both data-derivatives and integrated processing pipeline promotes practices for scientificFil: Avesani, Paolo. Fondazione Bruno Kessler,; ItaliaFil: McPherson, Brent. Indiana University; Estados UnidosFil: Hayashi, Soichi. Indiana University; Estados UnidosFil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; ArgentinaFil: Henschel, Robert. Indiana University Bloomington; Estados UnidosFil: Garyfallidis, Eleftherios. Indiana University Bloomington; Estados UnidosFil: Kitchell, Lindsey. Indiana University Bloomington; Estados UnidosFil: Bullock, Daniel. Indiana University Bloomington; Estados UnidosFil: Patterson, Andrew. Indiana University Bloomington; Estados UnidosFil: Olivetti, Emanuele. University of Trento; ItaliaFil: Sporns, Olaf. Indiana University Bloomington; Estados UnidosFil: Saykin, Andrew J.. Indiana University; Estados UnidosFil: Wang, Lei. Northwestern University Feinberg School of Medicine; Estados UnidosFil: Dinov, Ivo. Indiana University Bloomington; Estados UnidosFil: Hancock, David. Indiana University Bloomington; Estados UnidosFil: Caron, Bradley. Indiana University Bloomington; Estados UnidosFil: Qian, Yiming. Indiana University Bloomington; Estados UnidosFil: Pestilli, Franco. Indiana University; Estados UnidosNature Publishing Group2019-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/106100Avesani, Paolo; McPherson, Brent; Hayashi, Soichi; Caiafa, César Federico; Henschel, Robert; et al.; The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services; Nature Publishing Group; Scientific Data; 6; 1; 5-2019; 1-132052-4463CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41597-019-0073-yinfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-019-0073-yinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:05:49Zoai:ri.conicet.gov.ar:11336/106100instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:05:49.922CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title |
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
spellingShingle |
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services Avesani, Paolo Diffusion Imaging Magnetic resonance imaging Tractography Human connector |
title_short |
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title_full |
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title_fullStr |
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title_full_unstemmed |
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
title_sort |
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services |
dc.creator.none.fl_str_mv |
Avesani, Paolo McPherson, Brent Hayashi, Soichi Caiafa, César Federico Henschel, Robert Garyfallidis, Eleftherios Kitchell, Lindsey Bullock, Daniel Patterson, Andrew Olivetti, Emanuele Sporns, Olaf Saykin, Andrew J. Wang, Lei Dinov, Ivo Hancock, David Caron, Bradley Qian, Yiming Pestilli, Franco |
author |
Avesani, Paolo |
author_facet |
Avesani, Paolo McPherson, Brent Hayashi, Soichi Caiafa, César Federico Henschel, Robert Garyfallidis, Eleftherios Kitchell, Lindsey Bullock, Daniel Patterson, Andrew Olivetti, Emanuele Sporns, Olaf Saykin, Andrew J. Wang, Lei Dinov, Ivo Hancock, David Caron, Bradley Qian, Yiming Pestilli, Franco |
author_role |
author |
author2 |
McPherson, Brent Hayashi, Soichi Caiafa, César Federico Henschel, Robert Garyfallidis, Eleftherios Kitchell, Lindsey Bullock, Daniel Patterson, Andrew Olivetti, Emanuele Sporns, Olaf Saykin, Andrew J. Wang, Lei Dinov, Ivo Hancock, David Caron, Bradley Qian, Yiming Pestilli, Franco |
author2_role |
author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Diffusion Imaging Magnetic resonance imaging Tractography Human connector |
topic |
Diffusion Imaging Magnetic resonance imaging Tractography Human connector |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.4 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
We describe the Open Diffusion Data Derivatives (O3D) repository: an integrated collection of preserved brain data derivatives and processing pipelines, published together using a single digital-objectidentifier. The data derivatives were generated using modern diffusion-weighted magnetic resonance imaging data (dMRI) with diverse properties of resolution and signal-to-noise ratio. In addition to the data, we publish all processing pipelines (also referred to as open cloud services). The pipelines utilize modern methods for neuroimaging data processing (diffusion-signal modelling, fiber tracking, tractography evaluation, white matter segmentation, and structural connectome construction). The O3D open services can allow cognitive and clinical neuroscientists to run the connectome mapping algorithms on new, user-uploaded, data. Open source code implementing all O3D services is also provided to allow computational and computer scientists to reuse and extend the processing methods. Publishing both data-derivatives and integrated processing pipeline promotes practices for scientific Fil: Avesani, Paolo. Fondazione Bruno Kessler,; Italia Fil: McPherson, Brent. Indiana University; Estados Unidos Fil: Hayashi, Soichi. Indiana University; Estados Unidos Fil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina Fil: Henschel, Robert. Indiana University Bloomington; Estados Unidos Fil: Garyfallidis, Eleftherios. Indiana University Bloomington; Estados Unidos Fil: Kitchell, Lindsey. Indiana University Bloomington; Estados Unidos Fil: Bullock, Daniel. Indiana University Bloomington; Estados Unidos Fil: Patterson, Andrew. Indiana University Bloomington; Estados Unidos Fil: Olivetti, Emanuele. University of Trento; Italia Fil: Sporns, Olaf. Indiana University Bloomington; Estados Unidos Fil: Saykin, Andrew J.. Indiana University; Estados Unidos Fil: Wang, Lei. Northwestern University Feinberg School of Medicine; Estados Unidos Fil: Dinov, Ivo. Indiana University Bloomington; Estados Unidos Fil: Hancock, David. Indiana University Bloomington; Estados Unidos Fil: Caron, Bradley. Indiana University Bloomington; Estados Unidos Fil: Qian, Yiming. Indiana University Bloomington; Estados Unidos Fil: Pestilli, Franco. Indiana University; Estados Unidos |
description |
We describe the Open Diffusion Data Derivatives (O3D) repository: an integrated collection of preserved brain data derivatives and processing pipelines, published together using a single digital-objectidentifier. The data derivatives were generated using modern diffusion-weighted magnetic resonance imaging data (dMRI) with diverse properties of resolution and signal-to-noise ratio. In addition to the data, we publish all processing pipelines (also referred to as open cloud services). The pipelines utilize modern methods for neuroimaging data processing (diffusion-signal modelling, fiber tracking, tractography evaluation, white matter segmentation, and structural connectome construction). The O3D open services can allow cognitive and clinical neuroscientists to run the connectome mapping algorithms on new, user-uploaded, data. Open source code implementing all O3D services is also provided to allow computational and computer scientists to reuse and extend the processing methods. Publishing both data-derivatives and integrated processing pipeline promotes practices for scientific |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/106100 Avesani, Paolo; McPherson, Brent; Hayashi, Soichi; Caiafa, César Federico; Henschel, Robert; et al.; The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services; Nature Publishing Group; Scientific Data; 6; 1; 5-2019; 1-13 2052-4463 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/106100 |
identifier_str_mv |
Avesani, Paolo; McPherson, Brent; Hayashi, Soichi; Caiafa, César Federico; Henschel, Robert; et al.; The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services; Nature Publishing Group; Scientific Data; 6; 1; 5-2019; 1-13 2052-4463 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41597-019-0073-y info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-019-0073-y |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Nature Publishing Group |
publisher.none.fl_str_mv |
Nature Publishing Group |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842269930113728512 |
score |
13.13397 |