The challenge of mapping the human connectome based on diffusion tractography
dc.contributor.author | Maier-Hein, Klaus H. | |
dc.contributor.author | Boré, Arnaud | |
dc.contributor.author | Pinsard, Basile | |
dc.contributor.author | Bedetti, Christophe | |
dc.contributor.author | Desrosiers, Mathieu | |
dc.contributor.author | Brambati, Simona Maria | |
dc.contributor.author | Doyon, Julien | |
dc.contributor.author | Descoteaux, Maxime | |
dc.date.accessioned | 2019-05-27T13:12:11Z | |
dc.date.available | NO_RESTRICTION | fr |
dc.date.available | 2019-05-27T13:12:11Z | |
dc.date.issued | 2017-11-07 | |
dc.identifier.uri | http://hdl.handle.net/1866/21981 | |
dc.publisher | Nature research | fr |
dc.title | The challenge of mapping the human connectome based on diffusion tractography | fr |
dc.type | Article | fr |
dc.contributor.affiliation | Université de Montréal. Faculté des arts et des sciences. Département de psychologie | fr |
dc.identifier.doi | 10.1038/s41467-017-01285-x | |
dcterms.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. | fr |
dcterms.isPartOf | urn:ISSN:2041-1723 | fr |
dcterms.language | eng | fr |
UdeM.ReferenceFournieParDeposant | Maier-Hein KH, Neher PF, Houde JC, Côté MA, Garyfallidis E, Zhong J, Chamberland M, Yeh FC, Lin YC, Ji Q, Reddick WE, Glass JO, Chen DQ, Feng Y, Gao C, Wu Y, Ma J, Renjie H, Li Q, Westin CF, Deslauriers-Gauthier S, González JOO, Paquette M, St-Jean S, Girard G, Rheault F, Sidhu J, Tax CMW, Guo F, Mesri HY, Dávid S, Froeling M, Heemskerk AM, Leemans A, Boré A, Pinsard B, Bedetti C, Desrosiers M, Brambati S, Doyon J, Sarica A, Vasta R, Cerasa A, Quattrone A, Yeatman J, Khan AR, Hodges W, Alexander S, Romascano D, Barakovic M, Auría A, Esteban O, Lemkaddem A, Thiran JP, Cetingul HE, Odry BL, Mailhe B, Nadar MS, Pizzagalli F, Prasad G, Villalon-Reina JE, Galvis J, Thompson PM, Requejo FS, Laguna PL, Lacerda LM, Barrett R, Dell'Acqua F, Catani M, Petit L, Caruyer E, Daducci A, Dyrby TB, Holland-Letz T, Hilgetag CC, Stieltjes B, Descoteaux M. The challenge of mapping the human connectome based on diffusion tractography. Nat Commun. 2017 Nov 7;8(1):1349. doi: 10.1038/s41467-017-01285-x. | fr |
UdeM.VersionRioxx | Version publiée / Version of Record | fr |
oaire.citationTitle | Nature communications | |
oaire.citationVolume | 8 | |
oaire.citationIssue | 1, article 1349 |
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