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  The challenge of mapping the human connectome based on diffusion tractography

Maier-Hein, K. H., Neher, P. F., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., et al. (2017). The challenge of mapping the human connectome based on diffusion tractography. Nature Communications, 8: 1349. doi:10.1038/s41467-017-01285-x.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-B83A-A Version Permalink: http://hdl.handle.net/21.11116/0000-0006-B83B-9
Genre: Journal Article

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 Creators:
Maier-Hein, Klaus H.1, Author
Neher, Peter F.1, Author
Houde, Jean-Christophe1, Author
Côté, Marc-Alexandre1, Author
Garyfallidis, Eleftherios1, Author
Zhong, Jidan1, Author
Chamberland, Maxime1, Author
Yeh, Fang-Cheng1, Author
Lin, Ying-Chia1, Author
Ji, Qing1, Author
Reddick, Wilburn E.1, Author
Glass, John O.1, Author
Chen, David Qixiang1, Author
Feng, Yuanjing1, Author
Gao, Chengfeng1, Author
Wu, Ye1, Author
Ma, Jieyan1, Author
He, Renjie1, Author
Li, Qiang1, Author
Westin, Carl-Fredrik1, Author
Deslauriers-Gauthier, Samuel1, AuthorGonzález, J. Omar Ocegueda1, AuthorPaquette, Michael1, Author              St-Jean, Samuel1, AuthorGirard, Gabriel1, AuthorRheault, François1, AuthorSidhu, Jasmeen1, AuthorTax, Chantal M. W.1, AuthorGuo, Fenghua1, AuthorMesri, Hamed Y.1, AuthorDávid, Szabolcs1, AuthorFroeling, Martijn1, AuthorHeemskerk, Anneriet M.1, AuthorLeemans, Alexander1, AuthorBoré, Arnaud1, AuthorPinsard, Basile1, AuthorBedetti, Christophe1, AuthorDesrosiers, Matthieu1, AuthorBrambati, Simona1, AuthorDoyon, Julien1, AuthorSarica, Alessia1, AuthorVasta, Roberta1, AuthorCerasa, Antonio1, AuthorQuattrone, Aldo1, AuthorYeatman, Jason1, AuthorKhan, Ali R.1, AuthorHodges, Wes1, AuthorAlexander, Simon1, AuthorRomascano, David1, AuthorBarakovic, Muhamed1, AuthorAuría, Anna1, AuthorEsteban, Oscar1, AuthorLemkaddem, Alia1, AuthorThiran, Jean-Philippe1, AuthorCetingul, H. Ertan1, AuthorOdry, Benjamin L.1, AuthorMailhe, Boris1, AuthorNadar, Mariappan S.1, AuthorPizzagalli, Fabrizio1, AuthorPrasad, Gautam1, AuthorVillalon-Reina, Julio E.1, AuthorGalvis, Justin1, AuthorThompson, Paul M.1, AuthorRequejo, Francisco De Santiago1, AuthorLaguna, Pedro Luque1, AuthorLacerda, Luis Miguel1, AuthorBarrett, Rachel1, AuthorDell’Acqua, Flavio1, AuthorCatani, Marco1, AuthorPetit, Laurent1, AuthorCaruyer, Emmanuel1, AuthorDaducci, Alessandro1, AuthorDyrby, Tim B.1, AuthorHolland-Letz, Tim1, AuthorHilgetag, Claus C.1, AuthorStieltjes, Bram1, AuthorDescoteaux, Maxime1, Author more..
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1External Organizations, ou_persistent22              

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Free keywords: Computational biology and bioinformatics; Medical research; Nervous system; Neuroscience
 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.

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Language(s): eng - English
 Dates: 2016-11-212017-09-012017-11-07
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 8 Sequence Number: 1349 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723