The challenge of mapping the human connectome based on diffusion tractography

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 tracto...

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Published inNature communications Vol. 8; no. 1; pp. 1349 - 13
Main Authors Maier-Hein, Klaus H., Neher, Peter F., Houde, Jean-Christophe, Côté, Marc-Alexandre, Garyfallidis, Eleftherios, Zhong, Jidan, Chamberland, Maxime, Yeh, Fang-Cheng, Lin, Ying-Chia, Ji, Qing, Reddick, Wilburn E., Glass, John O., Chen, David Qixiang, Feng, Yuanjing, Gao, Chengfeng, Wu, Ye, Ma, Jieyan, He, Renjie, Li, Qiang, Westin, Carl-Fredrik, Deslauriers-Gauthier, Samuel, González, J. Omar Ocegueda, Paquette, Michael, St-Jean, Samuel, Girard, Gabriel, Rheault, François, Sidhu, Jasmeen, Tax, Chantal M. W., Guo, Fenghua, Mesri, Hamed Y., Dávid, Szabolcs, Froeling, Martijn, Heemskerk, Anneriet M., Leemans, Alexander, Boré, Arnaud, Pinsard, Basile, Bedetti, Christophe, Desrosiers, Matthieu, Brambati, Simona, Doyon, Julien, Sarica, Alessia, Vasta, Roberta, Cerasa, Antonio, Quattrone, Aldo, Yeatman, Jason, Khan, Ali R., Hodges, Wes, Alexander, Simon, Romascano, David, Barakovic, Muhamed, Auría, Anna, Esteban, Oscar, Lemkaddem, Alia, Thiran, Jean-Philippe, Cetingul, H. Ertan, Odry, Benjamin L., Mailhe, Boris, Nadar, Mariappan S., Pizzagalli, Fabrizio, Prasad, Gautam, Villalon-Reina, Julio E., Galvis, Justin, Thompson, Paul M., Requejo, Francisco De Santiago, Laguna, Pedro Luque, Lacerda, Luis Miguel, Barrett, Rachel, Dell’Acqua, Flavio, Catani, Marco, Petit, Laurent, Caruyer, Emmanuel, Daducci, Alessandro, Dyrby, Tim B., Holland-Letz, Tim, Hilgetag, Claus C., Stieltjes, Bram, Descoteaux, Maxime
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 07.11.2017
Nature Publishing Group
Nature Portfolio
Subjects
Online AccessGet full text
ISSN2041-1723
2041-1723
DOI10.1038/s41467-017-01285-x

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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. Though tractography is widely used, it has not been systematically validated. Here, authors report results from 20 groups showing that many tractography algorithms produce both valid and invalid bundles.
AbstractList 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. Though tractography is widely used, it has not been systematically validated. Here, authors report results from 20 groups showing that many tractography algorithms produce both valid and invalid bundles.
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.
Though tractography is widely used, it has not been systematically validated. Here, authors report results from 20 groups showing that many tractography algorithms produce both valid and invalid bundles.
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.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.
ArticleNumber 1349
Author Yeh, Fang-Cheng
Desrosiers, Matthieu
Prasad, Gautam
Descoteaux, Maxime
Ji, Qing
Mesri, Hamed Y.
Esteban, Oscar
Paquette, Michael
Bedetti, Christophe
Sarica, Alessia
Holland-Letz, Tim
Requejo, Francisco De Santiago
Daducci, Alessandro
Rheault, François
Odry, Benjamin L.
Romascano, David
Galvis, Justin
Petit, Laurent
Hilgetag, Claus C.
Glass, John O.
Leemans, Alexander
González, J. Omar Ocegueda
Lemkaddem, Alia
Froeling, Martijn
Auría, Anna
Chamberland, Maxime
Pizzagalli, Fabrizio
Quattrone, Aldo
Mailhe, Boris
Guo, Fenghua
Thiran, Jean-Philippe
Hodges, Wes
Neher, Peter F.
Vasta, Roberta
Cetingul, H. Ertan
Doyon, Julien
Villalon-Reina, Julio E.
Houde, Jean-Christophe
Feng, Yuanjing
Côté, Marc-Alexandre
Ma, Jieyan
Caruyer, Emmanuel
Nadar, Mariappan S.
Alexander, Simon
Gao, Chengfeng
Thompson, Paul M.
Westin, Carl-Fredrik
Zhong, Jidan
Dyrby, Tim B.
Lin, Ying-Chia
Wu, Ye
Heemskerk, Anneriet M.
St-Jean, Samuel
Girard, Gabriel
Sidhu, Jasmeen
Dávid, Szabolcs
Stieltjes, Bram
Maier-Hein, Klaus H.
Laguna, Pedro Luque
Khan, Ali R.
Dell’Acqua, Flavio
He, Renj
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Snippet Tractography based on non-invasive diffusion imaging is central to the study of human brain connectivity. To date, the approach has not been systematically...
Though tractography is widely used, it has not been systematically validated. Here, authors report results from 20 groups showing that many tractography...
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SubjectTerms 631/114
631/378
692/308
692/698/1688
Algorithms
Brain
Brain - diagnostic imaging
Bundles
Bundling
Computer Science
Computer simulation
Connectome
Databases, Factual
Diffusion Tensor Imaging - methods
Ground truth
Humanities and Social Sciences
Humans
Image Processing, Computer-Assisted - methods
Image Processing, Computer-Assisted - statistics & numerical data
Innovations
Medical Imaging
multidisciplinary
Neural networks
Neuroimaging
Reproducibility of Results
Science
Science (multidisciplinary)
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Title The challenge of mapping the human connectome based on diffusion tractography
URI https://link.springer.com/article/10.1038/s41467-017-01285-x
https://www.ncbi.nlm.nih.gov/pubmed/29116093
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https://inria.hal.science/hal-01631578
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Volume 8
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