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Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Schilling, Kurt G.; Rheault, François; Petit, Laurent; Hansen, Colin B.; Nath, Vishwesh; Yeh, Fang Cheng; Girard, Gabriel; Barakovic, Muhamed; Rafael-Patino, Jonathan; Yu, Thomas; Fischi-Gomez, Elda; Pizzolato, Marco; Ocampo-Pineda, Mario; Schiavi, Simona; Canales-Rodríguez, Erick J.; Daducci, Alessandro; Granziera, Cristina; Innocenti, Giorgio; Thiran, Jean Philippe; Mancini, Laura; Wastling, Stephen; Cocozza, Sirio; Petracca, Maria; Pontillo, Giuseppe; Mancini, Matteo; Vos, Sjoerd B.; Vakharia, Vejay N.; Duncan, John S.; Melero, Helena; Manzanedo, Lidia; Sanz-Morales, Emilio; Peña-Melián, Ángel; Calamante, Fernando; Attyé, Arnaud; Cabeen, Ryan P.; Korobova, Laura; Toga, Arthur W.; Vijayakumari, Anupa Ambili; Parker, Drew; Verma, Ragini; Radwan, Ahmed; Sunaert, Stefan; Emsell, Louise; De Luca, Alberto; Leemans, Alexander; Bajada, Claude J.; Haroon, Hamied; Azadbakht, Hojjatollah; Chamberland, Maxime; Genc, Sila; Tax, Chantal M.W.; Yeh, Ping Hong; Srikanchana, Rujirutana; Mcknight, Col...

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Authors

Kurt G. Schilling

François Rheault

Laurent Petit

Colin B. Hansen

Vishwesh Nath

Fang Cheng Yeh

Gabriel Girard

Muhamed Barakovic

Jonathan Rafael-Patino

Thomas Yu

Elda Fischi-Gomez

Marco Pizzolato

Mario Ocampo-Pineda

Simona Schiavi

Erick J. Canales-Rodríguez

Alessandro Daducci

Cristina Granziera

Giorgio Innocenti

Jean Philippe Thiran

Laura Mancini

Stephen Wastling

Sirio Cocozza

Maria Petracca

Giuseppe Pontillo

Matteo Mancini

Sjoerd B. Vos

Vejay N. Vakharia

John S. Duncan

Helena Melero

Lidia Manzanedo

Emilio Sanz-Morales

Ángel Peña-Melián

Fernando Calamante

Arnaud Attyé

Ryan P. Cabeen

Laura Korobova

Arthur W. Toga

Anupa Ambili Vijayakumari

Drew Parker

Ragini Verma

Ahmed Radwan

Stefan Sunaert

Louise Emsell

Alberto De Luca

Alexander Leemans

Claude J. Bajada

Hamied Haroon

Hojjatollah Azadbakht

Maxime Chamberland

Sila Genc

Chantal M.W. Tax

Ping Hong Yeh

Rujirutana Srikanchana

Colin D. Mcknight

Joseph Yuan-Mou Yang

JIAN CHEN JIAN.CHEN@NOTTINGHAM.AC.UK
Associate Professor

Claire E. Kelly

Chun Hung Yeh

Jerome Cochereau

Jerome J. Maller

Thomas Welton

Fabien Almairac

Kiran K Seunarine

Chris A. Clark

Fan Zhang

Nikos Makris

Alexandra Golby

Yogesh Rathi

Lauren J. O'Donnell

Yihao Xia

Dogu Baran Aydogan

Yonggang Shi

Francisco Guerreiro Fernandes

Mathijs Raemaekers

Stijn Michielse

Alonso Ramírez-Manzanares

Luis Concha

Ramón Aranda

Mariano Rivera Meraz

Garikoitz Lerma-Usabiaga

Lucas Roitman

Lucius S. Fekonja

Navona Calarco

Michael Joseph

Hajer Nakua

Aristotle N. Voineskos

Philippe Karan

Gabrielle Grenier

Jon Haitz Legarreta

Nagesh Adluru

Veena A. Nair

Vivek Prabhakaran

Andrew L. Alexander

Koji Kamagata

Yuya Saito

Wataru Uchida

Christina Andica

Masahiro Abe

Roza G. Bayrak

Claudia A.M. Gandini Wheeler-Kingshott

Egidio D'Angelo

Fulvia Palesi

Giovanni Savini

Nicolò Rolandi

Pamela Guevara

Josselin Houenou

Narciso López-López

Jean-François Mangin

Cyril Poupon

Claudio Román

Andrea Vázquez

Chiara Maffei

Mavilde Arantes

José Paulo Andrade

Susana Maria Silva

Vince D. Calhoun

Eduardo Caverzasi

Simone Sacco

Michael Lauricella

Franco Pestilli

Daniel Bullock

Yang Zhan

Edith Brignoni-Perez

Catherine Lebel

Jess E Reynolds

Igor Nestrasil

René Labounek

Christophe Lenglet

Amy Paulson

Stefania Aulicka

Sarah R. Heilbronner

Katja Heuer

Bramsh Qamar Chandio

Javier Guaje

Wei Tang

Eleftherios Garyfallidis

Rajikha Raja

Adam W. Anderson

Bennett A. Landman

Maxime Descoteaux



Abstract

White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white matter fiber pathways in vivo in human brains. However, like other analyses of complex data, there is considerable variability in segmentation protocols and techniques. This can result in different reconstructions of the same intended white matter pathways, which directly affects tractography results, quantification, and interpretation. In this study, we aim to evaluate and quantify the variability that arises from different protocols for bundle segmentation. Through an open call to users of fiber tractography, including anatomists, clinicians, and algorithm developers, 42 independent teams were given processed sets of human whole-brain streamlines and asked to segment 14 white matter fascicles on six subjects. In total, we received 57 different bundle segmentation protocols, which enabled detailed volume-based and streamline-based analyses of agreement and disagreement among protocols for each fiber pathway. Results show that even when given the exact same sets of underlying streamlines, the variability across protocols for bundle segmentation is greater than all other sources of variability in the virtual dissection process, including variability within protocols and variability across subjects. In order to foster the use of tractography bundle dissection in routine clinical settings, and as a fundamental analytical tool, future endeavors must aim to resolve and reduce this heterogeneity. Although external validation is needed to verify the anatomical accuracy of bundle dissections, reducing heterogeneity is a step towards reproducible research and may be achieved through the use of standard nomenclature and definitions of white matter bundles and well-chosen constraints and decisions in the dissection process.

Citation

Schilling, K. G., Rheault, F., Petit, L., Hansen, C. B., Nath, V., Yeh, F. C., …Descoteaux, M. (2021). Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?. NeuroImage, 243, Article 118502. https://doi.org/10.1016/j.neuroimage.2021.118502

Journal Article Type Article
Acceptance Date Aug 21, 2021
Online Publication Date Aug 25, 2021
Publication Date Nov 1, 2021
Deposit Date Jun 10, 2022
Publicly Available Date Jun 15, 2022
Journal NeuroImage
Print ISSN 1053-8119
Electronic ISSN 1095-9572
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 243
Article Number 118502
DOI https://doi.org/10.1016/j.neuroimage.2021.118502
Keywords Cognitive Neuroscience; Neurology
Public URL https://nottingham-repository.worktribe.com/output/6506889
Publisher URL https://www.sciencedirect.com/science/article/pii/S1053811921007758?via%3Dihub

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