Published in

Nature Research, Nature Communications, 1(8), 2017

DOI: 10.1038/s41467-017-01285-x

Links

Tools

Export citation

Search in Google Scholar

The challenge of mapping the human connectome based on diffusion tractography

Journal article published in 2017 by Klaus H. Maier-Hein, Francisco de Santiago Requejo, Peter F. Neher ORCID, Jean-Christophe Houde, Marc-Alexandre Côté, Eleftherios Garyfallidis ORCID, Jidan Zhong, Maxime Chamberland, Fang-Cheng Yeh, Ying-Chia Lin, Qing Ji, Wilburn E. Reddick ORCID, John O. Glass ORCID, David Qixiang Chen, Yuanjing Feng ORCID and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Red circle
Postprint: archiving forbidden
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

AbstractTractography 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.