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Publikacije (106)

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K. Schilling, V. Nath, Colin B. Hansen, P. Parvathaneni, J. Blaber, Yurui Gao, P. Neher, D. Aydogan et al.

D. Romascano, Jonathan Rafael Patino Lopez, Ileana O. Jelescu, M. Barakovic, T. Dyrby, J. Thiran, Alessandro Daducci

M. Barakovic, G. Girard, D. Romascano, Jonathan Rafael Patino Lopez, M. Descoteaux, G. Innocenti, Derek K. Jones, J. Thiran et al.

Matteo Frigo, M. Barakovic, J. Thiran, Alessandro Daducci

Klaus Hermann Maier-Hein, P. Neher, Jean-Christophe Houde, Marc-Alexandre Côté, E. Garyfallidis, J. Zhong, Maxime Chamberland, F. Yeh et al.

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.

Klaus Hermann Maier-Hein, P. Neher, Jean-Christophe Houde, Marc-Alexandre Côté, E. Garyfallidis, J. Zhong, Maxime Chamberland, F. Yeh et al.

Fiber tractography based on non-invasive diffusion imaging is at the heart of connectivity studies of the human brain. To date, the approach has not been systematically validated in ground truth studies. Based on a simulated human brain dataset with ground truth white matter tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. While most state-of-the-art algorithms reconstructed 90% of ground truth bundles to at least some extent, on average they produced four times more invalid than valid bundles. About half of the invalid bundles occurred systematically in the majority of submissions. Our results demonstrate fundamental ambiguities inherent to tract reconstruction methods based on diffusion orientation information, with critical consequences for the approach of diffusion tractography in particular and human connectivity studies in general.

Mario Ocampo-Pineda, A. Cagol, M. Barakovic, Po-Jui Lu, J. Müller, S. Schaedelin, P. Benkert, Matthias Weigel et al.

Progression independent of relapse activity (PIRA) has been described in patients with multiple sclerosis (MS) even in the earliest disease stages. Patients with PIRA show increased atrophy rates in multiple brain regions compared to stable patients. Here, we investigated whether patients with PIRA exhibit loss of integrity in WM tracts compared to stable patients. We studied 62 RRMS patients, 27 PIRA and 35 stable patients using a clinical DW-MRI protocol. Our results showed that PIRA patients present smaller FA values in areas of corpus callosum and along corticosprinal tract. These differences suggest neurodegeneration in major WM tracts of PIRA patients.

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