SCHILLING, K. G., F. RHEAULT, L. PETIT, C. B. HANSEN, V. NATH, F. C. YEH, G. GIRARD, M. BARAKOVIC, J. RAFAEL-PATINO, T. YU, E. FISCHI-GOMEZ, M. PIZZOLATO, M. OCAMPO-PINEDA, S. SCHIAVI, E. J. CANALES-RODRIGUEZ, A. DADUCCI, C. GRANZIERA, G. INNOCENTI, J. P. THIRAN, L. MANCINI, S. WASTLING, S. COCOZZA, M. PETRACCA, G. PONTILLO, M. MANCINI, S. B. VOS, V. N. VAKHARIA, J. S. DUNCAN, H. MELERO, L. MANZANEDO, E. SANZ-MORALES, A. PENA-MELIAN, F. CALAMANTE, A. ATTYE, R. P. CABEEN, L. KOROBOVA, A. W. TOGA, A. A. VIJAYAKUMARI, D. PARKER, R. VERMA, A. RADWAN, S. SUNAERT, L. EMSELL, A. DE LUCA, A. LEEMANS, C. J. BAJADA, H. HAROON, H. AZADBAKHT, M. CHAMBERLAND, S. GENC, C. M. W. TAX, P. H. YEH, R. SRIKANCHANA, C. D. MCKNIGHT, J. Y. M. YANG, J. CHEN, C. E. KELLY, C. H. YEH, J. COCHEREAU, J.J . MALLER, T. WELTON, F. ALMAIRAC, K. K. SEUNARINE, C. A. CLARK, F. ZHANG, N. MAKRIS, A. GOLBY, Y. RATHI, L. J. O DONNELL, Y. H. XIA, D. B. AYDOGAN, Y. G. SHI, F. G. FERNANDES, M. RAEMAEKERS, S. WARRINGTON, S. MICHIELSE, A. RAMIREZ-MANZANARES, L. CONCHA, R. ARANDA, M. R. MERAZ, G. LERMA-USABIAGA, L. ROITMAN, L. S. FEKONJA, N. CALARCO, M.. JOSEPH, H. NAKUA, A. N. VOINESKOS, P. KARAN, G. GRENIER, J. H. LEGARRETA, N. ADLURU, V. A. NAIR, V. PRABHAKARAN, A. L. ALEXANDER, K. KAMAGATA, Y. SAITO, W. UCHIDA, C. ANDICA, M. ABE, R. G. BAYRAK, C. A. M. G. WHEELER-KINGSHOTT, E. D ANGELO, F. PALESI, G. SAVINI, N. ROLANDI, P. GUEVARA, J. HOUENOU, N. LOPEZ-LOPEZ, J. F. MANGIN, C. POUPON, C. ROMAN, A. VAZQUEZ, C. MAFFEI, M. ARANTES, J. P. ANDRADE, S. M. SILVA, V. D. CALHOUN, E. CAVERZASI, S. SACCO, M. LAURICELLA, F. PESTILLI, D. BULLOCK, Y. ZHAN, E. BRIGNONI-PEREZ, C. LEBEL, J. E. REYNOLDS, I. NESTRASIL, R. LABOUNEK, C. LENGLET, A. PAULSON, Štefánia AULICKÁ, S. R. HEILBRONNER, K. HEUER, B. Q. CHANDIO, J. GUAJE, W. TANG, E. GARYFALLIDIS, R. RAJA, A. W. ANDERSON, B. A. LANDMAN and M. DESCOTEAUX. Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? Neuroimage. San Diego: ACADEMIC PRESS INC ELSEVIER SCIENCE, 2021, vol. 243, November 2021, p. 1-18. ISSN 1053-8119. Available from: https://dx.doi.org/10.1016/j.neuroimage.2021.118502.
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Basic information
Original name Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
Authors SCHILLING, K. G. (guarantor), F. RHEAULT, L. PETIT, C. B. HANSEN, V. NATH, F. C. YEH, G. GIRARD, M. BARAKOVIC, J. RAFAEL-PATINO, T. YU, E. FISCHI-GOMEZ, M. PIZZOLATO, M. OCAMPO-PINEDA, S. SCHIAVI, E. J. CANALES-RODRIGUEZ, A. DADUCCI, C. GRANZIERA, G. INNOCENTI, J. P. THIRAN, L. MANCINI, S. WASTLING, S. COCOZZA, M. PETRACCA, G. PONTILLO, M. MANCINI, S. B. VOS, V. N. VAKHARIA, J. S. DUNCAN, H. MELERO, L. MANZANEDO, E. SANZ-MORALES, A. PENA-MELIAN, F. CALAMANTE, A. ATTYE, R. P. CABEEN, L. KOROBOVA, A. W. TOGA, A. A. VIJAYAKUMARI, D. PARKER, R. VERMA, A. RADWAN, S. SUNAERT, L. EMSELL, A. DE LUCA, A. LEEMANS, C. J. BAJADA, H. HAROON, H. AZADBAKHT, M. CHAMBERLAND, S. GENC, C. M. W. TAX, P. H. YEH, R. SRIKANCHANA, C. D. MCKNIGHT, J. Y. M. YANG, J. CHEN, C. E. KELLY, C. H. YEH, J. COCHEREAU, J.J . MALLER, T. WELTON, F. ALMAIRAC, K. K. SEUNARINE, C. A. CLARK, F. ZHANG, N. MAKRIS, A. GOLBY, Y. RATHI, L. J. O DONNELL, Y. H. XIA, D. B. AYDOGAN, Y. G. SHI, F. G. FERNANDES, M. RAEMAEKERS, S. WARRINGTON, S. MICHIELSE, A. RAMIREZ-MANZANARES, L. CONCHA, R. ARANDA, M. R. MERAZ, G. LERMA-USABIAGA, L. ROITMAN, L. S. FEKONJA, N. CALARCO, M.. JOSEPH, H. NAKUA, A. N. VOINESKOS, P. KARAN, G. GRENIER, J. H. LEGARRETA, N. ADLURU, V. A. NAIR, V. PRABHAKARAN, A. L. ALEXANDER, K. KAMAGATA, Y. SAITO, W. UCHIDA, C. ANDICA, M. ABE, R. G. BAYRAK, C. A. M. G. WHEELER-KINGSHOTT, E. D ANGELO, F. PALESI, G. SAVINI, N. ROLANDI, P. GUEVARA, J. HOUENOU, N. LOPEZ-LOPEZ, J. F. MANGIN, C. POUPON, C. ROMAN, A. VAZQUEZ, C. MAFFEI, M. ARANTES, J. P. ANDRADE, S. M. SILVA, V. D. CALHOUN, E. CAVERZASI, S. SACCO, M. LAURICELLA, F. PESTILLI, D. BULLOCK, Y. ZHAN, E. BRIGNONI-PEREZ, C. LEBEL, J. E. REYNOLDS, I. NESTRASIL, R. LABOUNEK, C. LENGLET, A. PAULSON, Štefánia AULICKÁ (703 Slovakia, belonging to the institution), S. R. HEILBRONNER, K. HEUER, B. Q. CHANDIO, J. GUAJE, W. TANG, E. GARYFALLIDIS, R. RAJA, A. W. ANDERSON, B. A. LANDMAN and M. DESCOTEAUX.
Edition Neuroimage, San Diego, ACADEMIC PRESS INC ELSEVIER SCIENCE, 2021, 1053-8119.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30103 Neurosciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 7.400
RIV identification code RIV/00216224:14110/21:00121156
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1016/j.neuroimage.2021.118502
UT WoS 000696941000003
Keywords in English Tractography; Bundle segmentation; White matter; Fiber pathways; Dissection
Tags 14110320, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 15/2/2022 08:02.
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.
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