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The challenge of mapping the human connectome based on diffusion tractography

Klaus Maier-Hein 1, * Peter F. Neher 1 Christophe Houde 2 Marc-Alexandre Côté 2 Eleftherios Garyfallidis 2 Jidan Zhong 3 Maxime Chamberland 2 Fang-Chen Yeh 4 Ying-Chia Lin 5 Qing Ji 6 Wilburn E. Reddick 6 John O. Glass 6 David Qixiang Chen 7 Yuanjing Feng 8 Chengfeng Gao 8 Ye Wu 8 Jieyan Ma 9 H. Renjie 9 Qiang Li 9 Carl-Fredrik Westin 10 Samuel Deslauriers-Gauthier 2 J. Omar Ocegueda González 11 Michael Paquette 2 Samuel St-Jean 2 Gabriel Girard 12 François Rheault 2 Jasmeen Sidhu 2 Chantal M. W. Tax 13 Fenghua Guo 13 Hamed Y. Mesri 13 Szabolcs Dávid 13 Martijn Froeling 14 Anneriet M. Heemskerk 13 Alexander Leemans 13 Arnaud Boré 15 Basile Pinsard 15, 16 Christophe Bedetti 15, 17 Matthieu Desrosiers 15 Bram Brambati 15 Julien Doyon 15 Alessia Sarica 2 Roberta Vasta 18 Antonio Cerasa 18 Aldo Quattrone 18 Jason Yeatman 19 Ali R. Khan 20 Wes Hodges 21 Simon Alexander 21 David Romascano 22 Muhamed Barakovic 22 Anna Auría 22 Oscar Esteban 23 Alia Lemkaddem 23 Jean-Philippe Thiran 22 H. Ertan Cetingul 24 Benjamin L. Odry 24 Boris Mailhé 24 Mariappan S. Nadar 24 Fabrizio Pizzagalli 25 Gautam Prasad 25 Julio E. Villalon-Reina 25 Justin Galvis 25 Paul M. Thompson 25 Francisco de Santiago Requejo 26 Pedro Luque Laguna 26 Luis Miguel Lacerda 26 Rachel Barrett 26 Flavio Dell’acqua 26 Marco Catani 26 Laurent Petit 27 Emmanuel Caruyer 28 Alessandro Daducci 21, 29 Tim Dyrby 30, 31 Tim Holland-Letz 1 Claus C. Hilgetag 32 Bram Stieltjes 33 Maxime Descoteaux 2, *
* Corresponding author
12 ATHENA - Computational Imaging of the Central Nervous System
CRISAM - Inria Sophia Antipolis - Méditerranée
28 VisAGeS - Vision, Action et Gestion d'informations en Santé
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, Inria Rennes – Bretagne Atlantique , INSERM - Institut National de la Santé et de la Recherche Médicale : U1228
Abstract : 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.
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Submitted on : Thursday, November 9, 2017 - 2:47:32 PM
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Klaus Maier-Hein, Peter F. Neher, Christophe Houde, Marc-Alexandre Côté, Eleftherios Garyfallidis, et al.. The challenge of mapping the human connectome based on diffusion tractography. Nature Communications, Nature Publishing Group, 2017, 8 (1), ⟨10.1038/s41467-017-01285-x⟩. ⟨hal-01631578⟩



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