Journal article
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
NeuroImage (Orlando, Fla.), Vol.243, pp.118502-118502
11/01/2021
DOI: 10.1016/j.neuroimage.2021.118502
PMCID: PMC8855321
PMID: 34433094
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.
Details
- Title: Subtitle
- Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
- Creators
- Kurt G. Schilling - Vanderbilt University Medical CenterFrancois Rheault - Université de SherbrookeLaurent Petit - Institut des Maladies NeurodégénérativesColin B. Hansen - Vanderbilt UniversityVishwesh Nath - Vanderbilt UniversityFang-Cheng Yeh - University of PittsburghGabriel Girard - Centre d'Imagerie BioMedicaleMuhamed Barakovic - University Hospital of BaselJonathan Rafael-Patino - École Polytechnique Fédérale de LausanneThomas Yu - École Polytechnique Fédérale de LausanneElda Fischi-Gomez - École Polytechnique Fédérale de LausanneMarco Pizzolato - Technical University of DenmarkMario Ocampo-Pineda - University of VeronaSimona Schiavi - University of VeronaErick J. Canales-Rodriguez - École Polytechnique Fédérale de LausanneAlessandro Daducci - University of VeronaCristina Granziera - University of BaselGiorgio Innocenti - Karolinska InstitutetJean-Philippe Thiran - Ecole Polytech Fed Lausanne, Signal Proc Lab LTSS, Lausanne, SwitzerlandLaura Mancini - National Hospital for Neurology and NeurosurgeryStephen Wastling - National Hospital for Neurology and NeurosurgerySirio Cocozza - Federico II University HospitalMaria Petracca - University of MaltaGiuseppe Pontillo - Federico II University HospitalMatteo Mancini - National Hospital for Neurology and NeurosurgerySjoerd B. Vos - University College LondonVejay N. Vakharia - Epilepsy Research UKJohn S. Duncan - Epilepsy SocietyHelena Melero - KU LeuvenLidia Manzanedo - Universidad Rey Juan CarlosEmilio Sanz-Morales - Universidad Rey Juan CarlosAngel Pena-Melian - Universidad Complutense de MadridFernando Calamante - The University of SydneyArnaud Attye - The University of SydneyRyan P. Cabeen - University of Southern CaliforniaLaura Korobova - National Hospital for Neurology and NeurosurgeryArthur W. Toga - University of Southern CaliforniaAnupa Ambili Vijayakumari - Stanford UniversityDrew Parker - University of PennsylvaniaRagini Verma - University of PennsylvaniaAhmed Radwan - KU LeuvenStefan Sunaert - KU LeuvenLouise Emsell - KU LeuvenAlberto De Luca - University Medical Center UtrechtAlexander Leemans - University Medical Center UtrechtClaude J. Bajada - University of MaltaHamied Haroon - Manchester Academic Health Science CentreHojjatollah Azadbakht - University of MaltaMaxime Chamberland - Cardiff UniversitySila Genc - Cardiff UniversityChantal M. W. Tax - Cardiff UniversityPing-Hong Yeh - University of PittsburghRujirutana Srikanchana - Walter Reed National Military Medical CenterColin D. Mcknight - Vanderbilt University Medical CenterJoseph Yuan-Mou Yang - Royal Childrens Hosp, Dept Neurosurg, Neurosci Adv Clin Imaging Suite NACIS, Melbourne, Vic, AustraliaJian Chen - University of PittsburghClaire E. Kelly - Hôpital PasteurChun-Hung Yeh - Chang Gung UniversityJerome Cochereau - Univ Poitiers Hosp, Poitiers, FranceJerome J. Maller - Gen Elect Healthcare, Melbourne, Vic, AustraliaThomas Welton - École Polytechnique Fédérale de LausanneFabien Almairac - Hôpital PasteurKiran K. Seunarine - UCL GOS Inst Child Hlth, Dev Imaging & Biophys Sect, London, EnglandChris A. Clark - UCL GOS Inst Child Hlth, Dev Imaging & Biophys Sect, London, EnglandFan Zhang - University of PittsburghNikos Makris - Brigham and Women's HospitalAlexandra Golby - Brigham and Women's HospitalYogesh Rathi - Brigham and Women's HospitalLauren J. O'Donnell - Brigham and Women's HospitalYihao Xia - Univ Southern Calif, Keck Sch Med, Neuroimaging & Informat Inst, Los Angeles, CA 90007 USADogu Baran Aydogan - Walter Reed National Military Medical CenterYonggang Shi - Univ Southern Calif, Keck Sch Med, Neuroimaging & Informat Inst, Los Angeles, CA 90007 USAFrancisco Guerreiro Fernandes - Hôpital PasteurMathijs Raemaekers - University Medical Center UtrechtShaun Warrington - Hôpital PasteurStijn Michielse - Maastricht UniversityAlonso Ramirez-Manzanares - Ctr Invest Matemat AC CIMAT, Guanajuato, MexicoLuis Concha - Univ Nacl Autonoma Mexico, Inst Neurobiol, Mexico City, DF, MexicoRamon Aranda - Catedras CONACyT, Ctr Invest Cient & Educ Super Ensenada CICESE UT3, Ensenada, Baja California, MexicoMariano Rivera Meraz - Ctr Invest Matemat AC CIMAT, Guanajuato, MexicoGarikoitz Lerma-Usabiaga - Stanford UniversityLucas Roitman - Stanford UniversityLucius S. Fekonja - KU LeuvenNavona Calarco - KU LeuvenMichael Joseph - Ctr Addict & Mental Hlth, Res Imaging Ctr, Kimel Family Translat Imaging Genet Lab, Toronto, ON, CanadaHajer Nakua - KU LeuvenAristotle N. Voineskos - KU LeuvenPhilippe Karan - École Polytechnique Fédérale de LausanneGabrielle Grenier - Université de SherbrookeJon Haitz Legarreta - Université de SherbrookeNagesh Adluru - University Medical Center UtrechtVeena A. Nair - University Medical Center UtrechtVivek Prabhakaran - University Medical Center UtrechtAndrew L. Alexander - University Medical Center UtrechtKoji Kamagata - University Medical Center UtrechtYuya Saito - University Medical Center UtrechtWataru Uchida - University Medical Center UtrechtChristina Andica - University of MaltaMasahiro Abe - University of MaltaRoza G. Bayrak - Vanderbilt University
- Resource Type
- Journal article
- Publication Details
- NeuroImage (Orlando, Fla.), Vol.243, pp.118502-118502
- DOI
- 10.1016/j.neuroimage.2021.118502
- PMID
- 34433094
- PMCID
- PMC8855321
- NLM abbreviation
- Neuroimage
- ISSN
- 1053-8119
- eISSN
- 1095-9572
- Publisher
- Elsevier
- Number of pages
- 18
- Grant note
- Victorian Government's Operational Infrastructure Support Program Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2025; German Research Foundation (DFG) PZ00P2 185814/1 / Swiss National Science Foundation (SNSF) IDDRC U54 HD090256 / National Institute of Child Health and Human Development; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) 215944/Z/19/Z / Sir Henry Wellcome Fellowship; Wellcome Trust R01EB017230; R01EB029272 / National Institute of Biomedical Imaging and Bioengineering; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Biomedical Imaging & Bioengineering (NIBIB) Cluster of Excellence Matters of Activity APP1091593; APP1117724 / National Health and Medical Research Council of Australia; National Health & Medical Research Council (NHMRC) of Australia 213722/Z/18/Z / Wellcome Trust UNAM; Universidad Nacional Autonoma de Mexico
- Language
- English
- Date published
- 11/01/2021
- Academic Unit
- Radiology
- Record Identifier
- 9984848425302771
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