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Anatomical connections in the human visual cortex: validation and new insights using a DTI Geodesic Connectivity Mapping method

Nicolas Wotawa 1, * Christophe Lenglet 1 Emmanuel Prados 2 Rachid Deriche 1 Olivier Faugeras 1
* Corresponding author
1 ODYSSEE - Computer and biological vision
DI-ENS - Département d'informatique - ENS Paris, CRISAM - Inria Sophia Antipolis - Méditerranée , ENS-PSL - École normale supérieure - Paris, Inria Paris-Rocquencourt, ENPC - École des Ponts ParisTech
2 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : Various approaches have been introduced to infer the organization of white matter connectivity using Diffusion Tensor Imaging (DTI). In this study, we validate a recently introduced geometric tractography technique, Geodesic Connectivity Mapping (GCM), able to overcome the main limitations of geometrical approaches. Using the GCM technique, we could successfully characterize anatomical connections in the human low-level visual cortex. We reproduce previous findings regarding the topology of optic radiations linking the LGN to V1 and the regular organization of splenium fibers with respect to their origin in the visual cortex. Moreover, our study brings further insights regarding the connectivity of the human MT complex (hMT+) and the retinotopic areas.
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https://hal.inria.fr/inria-00144016
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Submitted on : Wednesday, May 2, 2007 - 6:06:42 PM
Last modification on : Thursday, March 17, 2022 - 10:08:30 AM
Long-term archiving on: : Friday, November 25, 2016 - 3:14:22 PM

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Nicolas Wotawa, Christophe Lenglet, Emmanuel Prados, Rachid Deriche, Olivier Faugeras. Anatomical connections in the human visual cortex: validation and new insights using a DTI Geodesic Connectivity Mapping method. [Research Report] RR-6176, INRIA. 2007, pp.28. ⟨inria-00144016v2⟩

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