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Tractography-based connectomes are dominated by false-positive connections

Authors :
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
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)
Publication Year :
2016
Publisher :
Cold Spring Harbor Laboratory, 2016.

Abstract

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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....a937a2780535aff2c8735433d68f62c9