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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The challenge of mapping the human connectome based on diffusion tractography

TractSeg - Fast and accurate white matter tract segmentation

An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan.

A test-retest study on Parkinson's PPMI dataset yields statistically significant white matter fascicles.

Mapping population-based structural connectomes.

https://hal.archives-ouvertes.fr/hal-01622403/document

Stephen Cunanne

Papers

Recognition of white matter bundles using local and global streamline-based registration and clustering.