Tractography-based connectomes are dominated by false-positive connections
| Autor: | Wilburn E. Reddick, Qiang Li, Tim Holland-Letz, Marc-Alexandre Côté, Alexander Leemans, Eleftherios Garyfallidis, Jidan Zhong, Martijn Froeling, Samuel St-Jean, Tim B. Dyrby, Maxime Chamberland, Ye Wu, Hamed Y. Mesri, Boris Mailhe, David Romascano, Yuanjing Feng, Peter F. Neher, Wes Hodges, Antonio Cerasa, Claus C. Hilgetag, Pedro Luque Laguna, Jason D. Yeatman, Szabolcs David, Julio E. Villalon-Reina, Bram Stieltjes, Oscar Esteban, Luis Miguel Lacerda, Samuel Deslauriers-Gauthier, Alessandro Daducci, Jieyan Ma, Laurent Petit, Anna Auría, Hasan Ertan Cetingul, Muhamed Barakovic, Jasmeen Sidhu, Ying-Chia Lin, Ali R. Khan, Anneriet M. Heemskerk, Klaus H. Maier-Hein, Emmanuel Caruyer, Gabriel Girard, Simona M. Brambati, Benjamin L. Odry, Qing Ji, Carl-Fredrik Westin, François Rheault, Fang-Cheng Yeh, Maxime Descoteaux, Matthieu Desrosiers, Jean-Christophe Houde, Roberta Vasta, Chengfeng Gao, Marco Catani, Julien Doyon, David Qixiang Chen, Fabrizio Pizzagalli, Mariappan S. Nadar, Arnaud Boré, Alessia Sarica, J. Omar Ocegueda Gonzalez, Fenghua Guo, H Renjie, Gautam Prasad, Basile Pinsard, Christophe Bedetti, Aldo Quattrone, Rachel Barrett, Jean-Philippe Thiran, Justin Galvis, Flavio Dell'Acqua, Francisco De Santiago Requejo, Michael Paquette, Simon Alexander, Paul M. Thompson, John O. Glass, Chantal M. W. Tax, Alia Lemkaddem |
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| Přispěvatelé: | Groupe d'imagerie neurofonctionnelle (GIN), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Sherbrooke Connectivity Imaging Lab [Sherbrooke] (SCIL), Département d'informatique [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS)-Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS) |
| Rok vydání: | 2016 |
| Předmět: |
Ground truth
Research groups Computer science Orientation (computer vision) business.industry [SCCO.NEUR]Cognitive science/Neuroscience Pattern recognition 030218 nuclear medicine & medical imaging White matter 03 medical and health sciences Diffusion imaging 0302 clinical medicine medicine.anatomical_structure Connectome medicine Diffusion Tractography Artificial intelligence business 030217 neurology & neurosurgery Tractography |
| Popis: | Fiber tractography based on non-invasive diffusion imaging is at the heart of connectivity studies of the human brain. To date, the approach has not been systematically validated in ground truth studies. Based on a simulated human brain dataset with ground truth white matter tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. While most state-of-the-art algorithms reconstructed 90% of ground truth bundles to at least some extent, on average they produced four times more invalid than valid bundles. About half of the invalid bundles occurred systematically in the majority of submissions. Our results demonstrate fundamental ambiguities inherent to tract reconstruction methods based on diffusion orientation information, with critical consequences for the approach of diffusion tractography in particular and human connectivity studies in general. |
| Databáze: | OpenAIRE |
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