Tractography passes the test : Results from the diffusion-simulated connectivity (disco) challenge

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorGirard, Gabrielen_US
dc.contributor.authorRafael-Patiño, Jonathanen_US
dc.contributor.authorTruffet, Raphaëlen_US
dc.contributor.authorAydogan, Dogu Baranen_US
dc.contributor.authorAdluru, Nageshen_US
dc.contributor.authorNair, Veena A.en_US
dc.contributor.authorPrabhakaran, Viveken_US
dc.contributor.authorBendlin, Barbara B.en_US
dc.contributor.authorAlexander, Andrew L.en_US
dc.contributor.authorBosticardo, Saraen_US
dc.contributor.authorGabusi, Ilariaen_US
dc.contributor.authorOcampo-Pineda, Marioen_US
dc.contributor.authorBattocchio, Matteoen_US
dc.contributor.authorPiskorova, Zuzanaen_US
dc.contributor.authorBontempi, Pietroen_US
dc.contributor.authorSchiavi, Simonaen_US
dc.contributor.authorDaducci, Alessandroen_US
dc.contributor.authorStafiej, Aleksandraen_US
dc.contributor.authorCiupek, Dominikaen_US
dc.contributor.authorBogusz, Fabianen_US
dc.contributor.authorPieciak, Tomaszen_US
dc.contributor.authorFrigo, Matteoen_US
dc.contributor.authorSedlar, Saraen_US
dc.contributor.authorDeslauriers-Gauthier, Samuelen_US
dc.contributor.authorKojčić, Ivanaen_US
dc.contributor.authorZucchelli, Mauroen_US
dc.contributor.authorLaghrissi, Hibaen_US
dc.contributor.authorJi, Yangen_US
dc.contributor.authorDeriche, Rachiden_US
dc.contributor.authorSchilling, Kurt G.en_US
dc.contributor.authorLandman, Bennett A.en_US
dc.contributor.authorCacciola, Albertoen_US
dc.contributor.authorBasile, Gianpaolo Antonioen_US
dc.contributor.authorBertino, Salvatoreen_US
dc.contributor.authorNewlin, Nancyen_US
dc.contributor.authorKanakaraj, Praitayinien_US
dc.contributor.authorRheault, Francoisen_US
dc.contributor.authorFilipiak, Patryken_US
dc.contributor.authorShepherd, Timothy M.en_US
dc.contributor.authorLin, Ying Chiaen_US
dc.contributor.authorPlacantonakis, Dimitris G.en_US
dc.contributor.authorBoada, Fernando E.en_US
dc.contributor.authorBaete, Steven H.en_US
dc.contributor.authorHernández-Gutiérrez, Ericken_US
dc.contributor.authorRamírez-Manzanares, Alonsoen_US
dc.contributor.authorCoronado-Leija, Ricardoen_US
dc.contributor.authorStack-Sánchez, Pabloen_US
dc.contributor.authorConcha, Luisen_US
dc.contributor.authorDescoteaux, Maximeen_US
dc.contributor.authorMansour L．, Sinaen_US
dc.contributor.authorSeguin, Caioen_US
dc.contributor.authorZalesky, Andrewen_US
dc.contributor.authorMarshall, Kenjien_US
dc.contributor.authorCanales-Rodríguez, Erick J.en_US
dc.contributor.authorWu, Yeen_US
dc.contributor.authorAhmad, Saharen_US
dc.contributor.authorYap, Pew Thianen_US
dc.contributor.authorThéberge, Antoineen_US
dc.contributor.authorGagnon, Florenceen_US
dc.contributor.authorMassi, Frédéricen_US
dc.contributor.authorFischi-Gomez, Eldaen_US
dc.contributor.authorGardier, Rémyen_US
dc.contributor.authorHaro, Juan Luis Villarrealen_US
dc.contributor.authorPizzolato, Marcoen_US
dc.contributor.authorCaruyer, Emmanuelen_US
dc.contributor.authorThiran, Jean Philippeen_US
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineeringen
dc.contributor.organizationUniversity of Lausanneen_US
dc.contributor.organizationCentre National de la Recherche Scientifique (CNRS)en_US
dc.contributor.organizationUniversity of Wisconsin-Madisonen_US
dc.contributor.organizationUniversity of Veronaen_US
dc.contributor.organizationUniversity of Genoaen_US
dc.contributor.organizationAGH University of Science and Technologyen_US
dc.contributor.organizationSano Centre for Computational Personalised Medicineen_US
dc.contributor.organizationUniversité Côte d'Azuren_US
dc.contributor.organizationVanderbilt Universityen_US
dc.contributor.organizationUniversity of Messinaen_US
dc.contributor.organizationNew York Universityen_US
dc.contributor.organizationStanford Universityen_US
dc.contributor.organizationUniversité de Sherbrookeen_US
dc.contributor.organizationConsejo Nacional de Ciencia y Tecnologia Mexicoen_US
dc.contributor.organizationUniversidad Nacional Autónoma de Méxicoen_US
dc.contributor.organizationUniversity of Melbourneen_US
dc.contributor.organizationSwiss Federal Institute of Technology Lausanneen_US
dc.contributor.organizationUniversity of North Carolina at Chapel Hillen_US
dc.date.accessioned2023-08-30T04:19:57Z
dc.date.available2023-08-30T04:19:57Z
dc.date.issued2023-08-15en_US
dc.descriptionFunding Information: We acknowledge access to the facilities and expertise of the CIBM Center for Biomedical Imaging, a Swiss research center of excellence founded and supported by Lausanne University Hospital (CHUV), University of Lausanne (UNIL), École polytechnique fédérale de Lausanne (EPFL), University of Geneva (UNIGE) and Geneva University Hospitals (HUG). The calculations have been performed using the facilities of the Scientific IT and Application Support Center of EPFL. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research. This project has received funding from the Swiss National Science Foundation under grant number 205320_175974 and Spark grant number 190297. Marco Pizzolato acknowledges the European Union's Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement No 754462. Erick J. Canales-Rodríguez was supported by the Swiss National Science Foundation (SNSF, Ambizione grant PZ00P2_185814). This research project is part of the MMINCARAV Inria associate team program between Empenn (Inria Rennes Bretagne Atlantique) and LTS5 (École Polytechnique Fédérale de Lausanne - EPFL) that started in 2019. Raphaël Truffet's PhD is partly funded by ENS Rennes. Tomasz Pieciak acknowledges the Polish National Agency for Academic Exchange for the grant PPN/BEK/2019/1/00421 under the Bekker programme and the Ministry of Science and Higher Education (Poland) under the scholarship for outstanding young scientists (692/STYP/13/2018). Dominika Ciupek acknowledges the Ministry of Education and Science (Poland) for the grant MEiN/2021/209/DIR/NN4 under the “Best of the Best!4.0” programme. Dominika Ciupek acknowledges that this work was supported by the European Union's Horizon 2020 research and innovation program under grant agreement Sano No 857533 and the International Research Agendas program of the Foundation for Polish Science No MAB PLUS/2019/13. Dominika Ciupek, Aleksandra Stafiej, Fabian Bogusz and Tomasz Pieciak gratefully acknowledge Polish high-performance computing infrastructure PLGrid (HPC Centers: ACK Cyfronet AGH) for providing computer facilities and support within computational grant no. PLG/2022/015357. Ye Wu, Sahar Ahmad, and Pew-Thian Yap were supported in part by the United States National Institute of Mental Health (R01MH125479). Ye Wu is supported by National Natural Science Foundation of China (No. 62201265). Patryk Filipiak, Tim Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada and Steven H. Baete are supported in part by the National Institutes of Health (R01-EB028774, R01-NS082436 and P41-EB017183). Athena Project Team acknowledges that this work was supported by the ERC under the European Union's Horizon 2020 research and innovation program (ERC Advanced Grant agreement No 694665:CoBCoM: Computational Brain Connectivity Mapping) and it has been partly supported by the French government, through the 3IA Côte d'Azur Investments in the Future project managed by the National Research Agency (ANR) with the reference number ANR-19-P3IA-0002. Athena Project Team is grateful to Inria Sophia Antipolis - Méditerranée https://wiki.inria.fr/ClustersSophia/Usage_policy "Nef" computation cluster for providing resources and support. The team from UW-Madison would like to acknowledge the NIH grants U54HD090256, R01NS123378, P50HD105353, R01NS092870, R01EB022883, R01AI117924, R01AG027161, RF1AG059312, P50AG033514, R01NS105646, UF1AG051216, R01NS111022, R01NS117568, P01AI132132, R01AI138647, R34DA050258, and R01AG037639. Andrew Zalesky was supported by research fellowships from the NHMRC (APP1118153). Bennett A. Landman and Kurt G. Schilling were supported by NIH grants 1R01EB017230 and K01EB032898. Maxime Descoteaux and the SCIL participants were supported by NSERC Discovery Grant RGPIN-2020-04818 and institutional research Chair in Neuroinformatics. Alonso Ramírez-Manzanares was partially supported by SNI-CONACYT, México. Luis Concha was partially funded by UNAM-DGAPA (IN204720). Funding Information: We acknowledge access to the facilities and expertise of the CIBM Center for Biomedical Imaging, a Swiss research center of excellence founded and supported by Lausanne University Hospital (CHUV), University of Lausanne (UNIL), École polytechnique fédérale de Lausanne (EPFL), University of Geneva (UNIGE) and Geneva University Hospitals (HUG). The calculations have been performed using the facilities of the Scientific IT and Application Support Center of EPFL. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research. This project has received funding from the Swiss National Science Foundation under grant number 205320_175974 and Spark grant number 190297. Marco Pizzolato acknowledges the European Union’s Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement No 754462. Erick J. Canales-Rodríguez was supported by the Swiss National Science Foundation (SNSF, Ambizione grant PZ00P2_185814). This research project is part of the MMINCARAV Inria associate team program between Empenn (Inria Rennes Bretagne Atlantique) and LTS5 (École Polytechnique Fédérale de Lausanne - EPFL) that started in 2019. Raphaël Truffet’s PhD is partly funded by ENS Rennes. Tomasz Pieciak acknowledges the Polish National Agency for Academic Exchange for the grant PPN/BEK/2019/1/00421 under the Bekker programme and the Ministry of Science and Higher Education (Poland) under the scholarship for outstanding young scientists (692/STYP/13/2018). Dominika Ciupek acknowledges the Ministry of Education and Science (Poland) for the grant MEiN/2021/209/DIR/NN4 under the “Best of the Best!4.0” programme. Dominika Ciupek acknowledges that this work was supported by the European Union’s Horizon 2020 research and innovation program under grant agreement Sano No 857533 and the International Research Agendas program of the Foundation for Polish Science No MAB PLUS/2019/13. Dominika Ciupek, Aleksandra Stafiej, Fabian Bogusz and Tomasz Pieciak gratefully acknowledge Polish high-performance computing infrastructure PLGrid (HPC Centers: ACK Cyfronet AGH) for providing computer facilities and support within computational grant no. PLG/2022/015357. Ye Wu, Sahar Ahmad, and Pew-Thian Yap were supported in part by the United States National Institute of Mental Health (R01MH125479). Ye Wu is supported by National Natural Science Foundation of China (No. 62201265). Patryk Filipiak, Tim Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada and Steven H. Baete are supported in part by the National Institutes of Health (R01-EB028774, R01-NS082436 and P41-EB017183). Athena Project Team acknowledges that this work was supported by the ERC under the European Union’s Horizon 2020 research and innovation program (ERC Advanced Grant agreement No 694665:CoBCoM: Computational Brain Connectivity Mapping) and it has been partly supported by the French government, through the 3IA Côte d’Azur Investments in the Future project managed by the National ResearchAgency (ANR) with the reference number ANR-19-P3IA-0002. Athena Project Team is grateful to Inria Sophia Antipolis - Méditerranée https://wiki.inria.fr/ClustersSophia/Usage_policy "Nef" computation cluster for providing resources and support. The team from UW-Madison would like to acknowledge the NIH grants U54HD090256, R01NS123378, P50HD105353, R01NS092870, R01EB022883, R01AI117924, R01AG027161, RF1AG059312, P50AG033514, R01NS105646, UF1AG051216, R01NS111022, R01NS117568, P01AI132132, R01AI138647, R34DA050258, and R01AG037639. Andrew Zalesky was supported by research fellowships from the NHMRC (APP1118153). Bennett A. Landman and Kurt G. Schilling were supported by NIH grants 1R01EB017230 and K01EB032898. Maxime Descoteaux and the SCIL participants were supported by NSERC Discovery Grant RGPIN-2020-04818 and institutional research Chair in Neuroinformatics. Alonso Ramírez-Manzanares was partially supported by SNI-CONACYT, México. Luis Concha was partially funded by UNAM-DGAPA (IN204720). Publisher Copyright: © 2023 The Author(s)
dc.description.abstractEstimating structural connectivity from diffusion-weighted magnetic resonance imaging is a challenging task, partly due to the presence of false-positive connections and the misestimation of connection weights. Building on previous efforts, the MICCAI-CDMRI Diffusion-Simulated Connectivity (DiSCo) challenge was carried out to evaluate state-of-the-art connectivity methods using novel large-scale numerical phantoms. The diffusion signal for the phantoms was obtained from Monte Carlo simulations. The results of the challenge suggest that methods selected by the 14 teams participating in the challenge can provide high correlations between estimated and ground-truth connectivity weights, in complex numerical environments. Additionally, the methods used by the participating teams were able to accurately identify the binary connectivity of the numerical dataset. However, specific false positive and false negative connections were consistently estimated across all methods. Although the challenge dataset doesn't capture the complexity of a real brain, it provided unique data with known macrostructure and microstructure ground-truth properties to facilitate the development of connectivity estimation methods.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationGirard, G, Rafael-Patiño, J, Truffet, R, Aydogan, D B, Adluru, N, Nair, V A, Prabhakaran, V, Bendlin, B B, Alexander, A L, Bosticardo, S, Gabusi, I, Ocampo-Pineda, M, Battocchio, M, Piskorova, Z, Bontempi, P, Schiavi, S, Daducci, A, Stafiej, A, Ciupek, D, Bogusz, F, Pieciak, T, Frigo, M, Sedlar, S, Deslauriers-Gauthier, S, Kojčić, I, Zucchelli, M, Laghrissi, H, Ji, Y, Deriche, R, Schilling, K G, Landman, B A, Cacciola, A, Basile, G A, Bertino, S, Newlin, N, Kanakaraj, P, Rheault, F, Filipiak, P, Shepherd, T M, Lin, Y C, Placantonakis, D G, Boada, F E, Baete, S H, Hernández-Gutiérrez, E, Ramírez-Manzanares, A, Coronado-Leija, R, Stack-Sánchez, P, Concha, L, Descoteaux, M, Mansour L．, S, Seguin, C, Zalesky, A, Marshall, K, Canales-Rodríguez, E J, Wu, Y, Ahmad, S, Yap, P T, Théberge, A, Gagnon, F, Massi, F, Fischi-Gomez, E, Gardier, R, Haro, J L V, Pizzolato, M, Caruyer, E & Thiran, J P 2023, ' Tractography passes the test : Results from the diffusion-simulated connectivity (disco) challenge ', NeuroImage, vol. 277, 120231 . https://doi.org/10.1016/j.neuroimage.2023.120231en
dc.identifier.doi10.1016/j.neuroimage.2023.120231en_US
dc.identifier.issn1053-8119
dc.identifier.issn1095-9572
dc.identifier.otherPURE UUID: 2233a5a6-ed7e-432f-8dd8-2e52bf15a39fen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/2233a5a6-ed7e-432f-8dd8-2e52bf15a39fen_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85163511332&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/119326367/Tractography_passes_the_test.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/122962
dc.identifier.urnURN:NBN:fi:aalto-202308305302
dc.language.isoenen
dc.publisherAcademic Press
dc.relation.ispartofseriesNeuroImageen
dc.relation.ispartofseriesVolume 277en
dc.rightsopenAccessen
dc.subject.keywordChallengeen_US
dc.subject.keywordConnectivityen_US
dc.subject.keywordDiffusion MRIen_US
dc.subject.keywordMicrostructureen_US
dc.subject.keywordMonte carlo simulationen_US
dc.subject.keywordNumerical substratesen_US
dc.subject.keywordTractographyen_US
dc.titleTractography passes the test : Results from the diffusion-simulated connectivity (disco) challengeen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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