The Connectome Mapper: An Open-Source Processing Pipeline to Map Connectomes with MRI |
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| Authors: | Alessandro Daducci Stephan Gerhard Alessandra Griffa Alia Lemkaddem Leila Cammoun Xavier Gigandet Reto Meuli Patric Hagmann Jean-Philippe Thiran |
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| Institution: | 1. Signal Processing Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.; 2. Department of Radiology, Lausanne University Hospital, and University of Lausanne, Lausanne, Switzerland.; UCSF, United States of America, |
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| Abstract: | Researchers working in the field of global connectivity analysis using diffusion magnetic resonance imaging (MRI) can count on a wide selection of software packages for processing their data, with methods ranging from the reconstruction of the local intra-voxel axonal structure to the estimation of the trajectories of the underlying fibre tracts. However, each package is generally task-specific and uses its own conventions and file formats. In this article we present the Connectome Mapper, a software pipeline aimed at helping researchers through the tedious process of organising, processing and analysing diffusion MRI data to perform global brain connectivity analyses. Our pipeline is written in Python and is freely available as open-source at www.cmtk.org. |
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