ArticleNeuroImage2023
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge.
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Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12citing papers in PubMed
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Who cites it
12 citing papers in PubMed.
- What needs to be standardized for reliable, reproducible, and robust tractography?GigaScience · 2026Review
- Impact of tractogram filtering and graph creation for structural connectomics in subjects with Parkinson's disease.Frontiers in human neuroscience · 2026Article
- Mind the brain age: How segmentation and template selection reshape structural connectomes.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- How accurate is probabilistic tractography when used to predict the "sweet spot" in deep brain stimulation? Mind the gap!Acta neurochirurgica · 2025Article
- Alpha_Mesh_Swc: automatic and robust surface mesh generation from the skeleton description of brain cells.Briefings in bioinformatics · 2025Article
- A Riemannian framework for incorporating white matter bundle prior in orientation distribution function based tractography algorithms.PloS one · 2025Article
- Streamline tractography of the fetal brain in utero with machine learning.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Staged intervention to enable the resection of a large left temporoinsular cystic glioblastoma with language preservation: illustrative case.Journal of neurosurgery. Case lessons · 2024Article
- A practical guide for combining functional regions of interest and white matter bundles.Frontiers in neuroscience · 2024Article
- Multi-tensor fixel-based metrics in tractometry: application to multiple sclerosis.Frontiers in neuroscience · 2024Article
- Mapping neurodegeneration with diffusion MRI: biomarkers, mechanisms, and clinical translation.Frontiers in neurologyReview
- Massively parallelized brain tractography using compute clusters, supercomputers, and graphics processing units.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
66 authors.
Gabriel GirardCIBM Center for Biomedical Imaging, Switzerland; Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. Electronic address: gabriel.girard@epfl.ch.
Jonathan Rafael-PatiñoRadiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. Electronic address: jonathan.patinolopez@epfl.ch.
Raphaël TruffetUniv Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U-1228, Rennes, France.
Dogu Baran AydoganA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland; Department of Psychiatry, Helsinki University Hospital, Helsinki, Finland.
Nagesh AdluruWaisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States.
Veena A NairDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, United States.
Vivek PrabhakaranDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, United States.
Barbara B BendlinDepartment of Medicine, University of Wisconsin-Madison, Madison, WI, United States.
Andrew L AlexanderWaisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States.
Sara BosticardoDiffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy; Translational Imaging in Neurology (ThINk), Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
Ilaria GabusiDiffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Mario Ocampo-PinedaDiffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy.
Matteo BattocchioDiffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy; Sherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada.
Zuzana PiskorovaDiffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy; Brno Faculty of Electrical Engineering and Communication, Department of mathematics, University of Technology, Brno, Czech Republic.
Pietro BontempiDiffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy.
Simona SchiaviDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Alessandro DaducciDiffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy.
Aleksandra StafiejAGH University of Science and Technology, Kraków, Poland.
Dominika CiupekSano Centre for Computational Personalised Medicine, Kraków, Poland.
Fabian BoguszAGH University of Science and Technology, Kraków, Poland.
Tomasz PieciakAGH University of Science and Technology, Kraków, Poland; Laboratorio de Procesado de Imagen (LPI), ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain.
Matteo FrigoAthena Project Team, Centre Inria d'Université Côte d'Azur, France.
Sara SedlarAthena Project Team, Centre Inria d'Université Côte d'Azur, France.
Samuel Deslauriers-GauthierAthena Project Team, Centre Inria d'Université Côte d'Azur, France.
Ivana KojčićAthena Project Team, Centre Inria d'Université Côte d'Azur, France.
Mauro ZucchelliAthena Project Team, Centre Inria d'Université Côte d'Azur, France.
Hiba LaghrissiAthena Project Team, Centre Inria d'Université Côte d'Azur, France; Institut de Biologie de Valrose, Université Côte d'Azur, Nice, France.
Yang JiAthena Project Team, Centre Inria d'Université Côte d'Azur, France.
Rachid DericheAthena Project Team, Centre Inria d'Université Côte d'Azur, France.
Kurt G SchillingDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Bennett A LandmanDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States.
Alberto CacciolaBrain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy; Center for Complex Network Intelligence (CCNI), Tsinghua Laboratory of Brain and Intelligence (THBI), Tsinghua University, Beijing, China; Department of Biomedical Engineering, Tsinghua University, Beijing, China.
Gianpaolo Antonio BasileBrain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.
Salvatore BertinoBrain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy.
Nancy NewlinDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States.
Praitayini KanakarajDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States.
Francois RheaultDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States.
Patryk FilipiakCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States.
Timothy M ShepherdCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States.
Ying-Chia LinCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States.
Dimitris G PlacantonakisDepartment of Neurosurgery, Perlmutter Cancer Center, Neuroscience Institute, Kimmel Center for Stem Cell Biology, NYU Langone Health, New York, NY, United States.
Fernando E BoadaDepartment of Radiology, Stanford University, Stanford, CA, United States.
Steven H BaeteCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States.
Erick Hernández-GutiérrezSherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada.
Alonso Ramírez-ManzanaresComputer Science Department, Centro de Investigación en Matemáticas A.C, Guanajuato, México.
Ricardo Coronado-LeijaCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States.
Pablo Stack-SánchezComputer Science Department, Centro de Investigación en Matemáticas A.C, Guanajuato, México.
Luis ConchaInstituto de Neurobiología, Universidad Nacional Autónoma de México, Juriquilla, Querétaro, México.
Maxime DescoteauxSherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada.
Sina Mansour LDepartment of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Parkville, Victoria, Australia.
Caio SeguinMelbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Parkville, Victoria, Australia; School of Biomedical Engineering, The University of Sydney, Sydney, Australia; Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States.
Andrew ZaleskyDepartment of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Parkville, Victoria, Australia.
Kenji MarshallSignal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; McGill University, Montréal, QC, Canada.
Erick J Canales-RodríguezSignal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Ye WuDepartment of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Sahar AhmadDepartment of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Pew-Thian YapDepartment of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Antoine ThébergeSherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada.
Florence GagnonSherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada.
Frédéric MassiSherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada.
Elda Fischi-GomezCIBM Center for Biomedical Imaging, Switzerland; Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Rémy GardierSignal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Juan Luis Villarreal HaroSignal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Marco PizzolatoSignal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark.
Emmanuel CaruyerUniv Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U-1228, Rennes, France.
Jean-Philippe ThiranCIBM Center for Biomedical Imaging, Switzerland; Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Funding
Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6MResearch Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4MTR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3MWisconsin Alzheimer's Disease Research CenterP50AG033514 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI SAGER, MARK · 2009 to 2018
$16.2MTrainingU54AI117924 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI CRAVEN, MARK W. · 2014 to 2018
$11.3MZika virus pathophysiology during pregnancyP01AI132132 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI O'CONNOR, DAVID H. · 2018 to 2022
$10.2MWaisman Center Intellectual and Developmental Disabilities Research CenterP50HD105353 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Brittany Gail Travers · 2021 to 2026
$8.5MWaisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI MESSING, ALBEE · 2016 to 2020
$6.0MAlzheimer's Disease Connectome ProjectUF1AG051216 · NIA · MEDICAL COLLEGE OF WISCONSIN · PI BENDLIN, BARBARA BRIGITTA, LI, SHI-JIANG · 2016 to 2019
$5.8MWhite matter degeneration: biomarkers in preclinical Alzheimer's DiseaseR01AG037639 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI BENDLIN, BARBARA BRIGITTA · 2012 to 2023
$5.3MControlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1MAssessing the impact of acquired immunodeficiency on congenital Zika virusR01AI138647 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI O'CONNOR, DAVID H. · 2018 to 2022
$3.8MNIAID NIH HHS P01 AI132132NIAID NIH HHS R01 AI138647NIAID NIH HHS U54 AI117924NIA NIH HHS P30 AG066512NIA NIH HHS P50 AG033514NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG037639NIA NIH HHS R01 AG040396NIA NIH HHS RF1 AG059312NIA NIH HHS UF1 AG051216NIBIB NIH HHS K01 EB032898NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB017230NIBIB NIH HHS R01 EB022883NIBIB NIH HHS R01 EB028774NICHD NIH HHS P50 HD105353NICHD NIH HHS R01 HD112923NICHD NIH HHS U54 HD090256NIDA NIH HHS R34 DA050258NIMH NIH HHS R01 MH125479NINDS NIH HHS R01 NS082436NINDS NIH HHS R01 NS092870NINDS NIH HHS R01 NS102665NINDS NIH HHS R01 NS105646NINDS NIH HHS R01 NS111022NINDS NIH HHS R01 NS117568NINDS NIH HHS R01 NS123378NINDS NIH HHS R01 NS124920NINDS NIH HHS R21 NS126806
Abstract
Estimating 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.
Indexed as
Diffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedBrainHumansMonte Carlo MethodPhantoms, ImagingChallengeConnectivityDiffusion MRIMicrostructureMonte carlo simulationNumerical substratesTractography
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