Journal article

The challenge of mapping the human connectome based on diffusion tractography.

  • Maier-Hein KH Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany. k.maier-hein@dkfz.de.
  • Neher PF Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
  • Houde JC Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
  • Côté MA Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
  • Garyfallidis E Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
  • Zhong J Krembil Research Institute, University Health Network, Toronto, Canada, M5G 2C4.
  • Chamberland M Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
  • Yeh FC Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
  • Lin YC IMT-Institute for Advanced Studies, Lucca, 55100, Italy.
  • Ji Q Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
  • Reddick WE Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
  • Glass JO Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
  • Chen DQ University of Toronto Institute of Medical Science, Toronto, Canada, M5S 1A8.
  • Feng Y Institute of Information Processing and Automation, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang, China.
  • Gao C Institute of Information Processing and Automation, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang, China.
  • Wu Y Institute of Information Processing and Automation, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang, China.
  • Ma J United Imaging Healthcare Co., Shanghai, 201807, China.
  • He R United Imaging Healthcare Co., Shanghai, 201807, China.
  • Li Q United Imaging Healthcare Co., Shanghai, 201807, China.
  • Westin CF Laboratory of Mathematics in Imaging, Harvard Medical School, Boston, MA, 02215, USA.
  • Deslauriers-Gauthier S Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
  • González JOO Center for Research in Mathematics, Guanajuato, 36023, Mexico.
  • Paquette M Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
  • St-Jean S Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
  • Girard G Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
  • Rheault F Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
  • Sidhu J Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada.
  • Tax CMW PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands.
  • Guo F PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands.
  • Mesri HY PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands.
  • Dávid S PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands.
  • Froeling M Department of Radiology, University Medical Center Utrecht, Utrecht, 3508, The Netherlands.
  • Heemskerk AM PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands.
  • Leemans A PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, 3508, The Netherlands.
  • Boré A Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5.
  • Pinsard B Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5.
  • Bedetti C Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5.
  • Desrosiers M Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5.
  • Brambati S Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5.
  • Doyon J Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM), Université de Montréal, Montreal, QC, Canada, H3W 1W5.
  • Sarica A Neuroimaging Unit, Institute of Bioimaging and Molecular Physiology (IBFM), National Research Council (CNR), Policlinico Magna Graecia, Germaneto, 88100, CZ, Italy.
  • Vasta R Neuroimaging Unit, Institute of Bioimaging and Molecular Physiology (IBFM), National Research Council (CNR), Policlinico Magna Graecia, Germaneto, 88100, CZ, Italy.
  • Cerasa A Neuroimaging Unit, Institute of Bioimaging and Molecular Physiology (IBFM), National Research Council (CNR), Policlinico Magna Graecia, Germaneto, 88100, CZ, Italy.
  • Quattrone A Neuroimaging Unit, Institute of Bioimaging and Molecular Physiology (IBFM), National Research Council (CNR), Policlinico Magna Graecia, Germaneto, 88100, CZ, Italy.
  • Yeatman J Institute for Learning & Brain Sciences and Department of Speech & Hearing Sciences, University of Washington, Seattle, WA, 98195, USA.
  • Khan AR Departments of Medical Biophysics & Medical Imaging, Schulich School of Medicine and Dentistry, Western University, 1151 Richmond St N, London, ON, Canada, N6A 5C1.
  • Hodges W Synaptive Medical Inc., MaRS Discovery District, 101 College Street, Suite 200, Toronto, ON, Canada, M5V 3B1.
  • Alexander S Synaptive Medical Inc., MaRS Discovery District, 101 College Street, Suite 200, Toronto, ON, Canada, M5V 3B1.
  • Romascano D Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland.
  • Barakovic M Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland.
  • Auría A Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland.
  • Esteban O Biomedical Image Technologies (BIT), ETSI Telecom., U. Politécnica de Madrid and CIBER-BBN, Madrid, 28040, Spain.
  • Lemkaddem A Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland.
  • Thiran JP Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland.
  • Cetingul HE Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, 08540, USA.
  • Odry BL Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, 08540, USA.
  • Mailhe B Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, 08540, USA.
  • Nadar MS Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, 08540, USA.
  • Pizzagalli F Imaging Genetics Center, Stevens Neuro Imaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90033, USA.
  • Prasad G Imaging Genetics Center, Stevens Neuro Imaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90033, USA.
  • Villalon-Reina JE Imaging Genetics Center, Stevens Neuro Imaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90033, USA.
  • Galvis J Imaging Genetics Center, Stevens Neuro Imaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90033, USA.
  • Thompson PM Imaging Genetics Center, Stevens Neuro Imaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, 90033, USA.
  • Requejo FS NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK.
  • Laguna PL NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK.
  • Lacerda LM NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK.
  • Barrett R NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK.
  • Dell'Acqua F NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK.
  • Catani M NatBrainLab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK.
  • Petit L Groupe d'imagerie Neurofonctionnelle-Institut des Maladies Neurodégénératives (GIN-IMN), UMR5293 CNRS, CEA, University of Bordeaux, Bordeaux, 33000, France.
  • Caruyer E Centre national de la recherche scientifique (CNRS), Institute for Research in IT and Random Systems (IRISA), UMR 6074 VISAGES Project-Team, Rennes, 35042, France.
  • Daducci A Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, 1015, Switzerland.
  • Dyrby TB Danish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, 2650, Denmark.
  • Holland-Letz T Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany.
  • Hilgetag CC Department of Computational Neuroscience, University Medical Center Eppendorf, Hamburg, 20246, Germany.
  • Stieltjes B University Hospital Basel, Radiology & Nuclear Medicine Clinic, Basel, 4031, Switzerland.
  • Descoteaux M Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, QC, Canada. m.descoteaux@usherbrooke.ca.
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  • 2017-11-09
Published in:
  • Nature communications. - 2017
English Tractography based on non-invasive diffusion imaging is central to the study of human brain connectivity. To date, the approach has not been systematically validated in ground truth studies. Based on a simulated human brain data set with ground truth tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. Here, we report the encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent). However, the same tractograms contain many more invalid than valid bundles, and half of these invalid bundles occur systematically across research groups. Taken together, our results demonstrate and confirm fundamental ambiguities inherent in tract reconstruction based on orientation information alone, which need to be considered when interpreting tractography and connectivity results. Our approach provides a novel framework for estimating reliability of tractography and encourages innovation to address its current limitations.
Language
  • English
Open access status
gold
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Persistent URL
https://sonar.ch/global/documents/111018
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