Xavier Gigandet

TL;DR: The spatial and topological centrality of the core within cortex suggests an important role in functional integration and a substantial correspondence between structural connectivity and resting-state functional connectivity measured in the same participants.

TL;DR: Based on diffusion MRI, this work proposes an efficient methodology to generate large, comprehensive and individual white matter connectional datasets of the living or dead, human or animal brain, which enables us to study the basic and potentially complex network properties of the entire brain.

TL;DR: In this paper, the authors proposed a template-based approach to match cortical landmarks of different subjects, which allows the selection of identical cortical regions of interest of desired size and location in different subjects with identification of the associated fiber tracts.

TL;DR: A robust method is proposed to map the connectome by constructing normalized whole-brain structural connection matrices derived from diffusion MRI tractography at 5 different scales by using a template-based approach to match cortical landmarks of different subjects.

TL;DR: The Connectome Mapper is presented, 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.