Fig. 1
From: An extensive assessment of network alignment algorithms for comparison of brain connectomes
Building a representative network from experimental data: example of a workflow. Diffusion or functional MRI images are acquired for a subject according to the study to be conducted. The MRIs are used to perform whole-brain parcellation by selecting a suitable method. Starting from the parcelled whole brain the computation of connections is performed and a weighted adjacency matrix is constructed. Then, the weights of adjacency matrix are binarized. Finally, the resulting brain network is obtained