The challenge of mapping the human connectome based on diffusion tractography
German Cancer Research Center · Heidelberg University · +49 more institutions
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…
Citation impact
- FWCI
- 105.47
- Percentile
- 100%
- References
- 81
Authors
77- KMKlaus Maier‐HeinCorresponding
German Cancer Research Center, Heidelberg University, DKFZ-ZMBH Alliance
- PNPeter Neher
German Cancer Research Center, Heidelberg University
- JHJean-Christophe Houde
Université de Sherbrooke
- MCMarc-Alexandre Côté
Université de Sherbrooke
- EGEleftherios Garyfallidis
Université de Sherbrooke, Indiana University Bloomington
Topics & keywords
- Connectome
- Tractography
- Diffusion MRI
- Human Connectome Project
- Connectomics
- Computer science
- Neuroscience
- Diffusion
- Industry, innovation and infrastructure
Funding
- NSNational Science FoundationAward: TRR 169
- UDUniversité de Sherbrooke
- WTWellcome Trust
- DFDeutsche ForschungsgemeinschaftAwards: TRR 169/A2, MA 6340/10-1, TRR 169, MA 6340/12-1
- ÉPÉcole Polytechnique Fédérale de Lausanne
- SNSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAwards: 103759, 31003A_157063
- NNNational Natural Science Foundation of ChinaAwards: 61379020, TRR 169
- NONederlandse Organisatie voor Wetenschappelijk OnderzoekAwards: 639.072.411, 612.001.104
- CSChina Scholarship CouncilAward: 639.072.411
- CDCentre d'Imagerie BioMédicale
- NINational Institutes of HealthAwards: P41EB015898, P41EB015902
- NSNatural Sciences and Engineering Research Council of CanadaAwards: CGS-D3, 639.072.411, P41EB015902
- NCNational Cancer Institute