Brain network eigenmodes provide a robust and compact representation of the structural connectome in health and disease
Fig 1
Eigenmodes of the network diffusion model: Brain network architecture determined by averaged connectomes from ten healthy adults (two scans each) using three different atlases: Desikan-Killiany, Destrieux, and functional (FXCN).
We then computed the network Laplacian which models diffusion through the brain as shown in Eq 1. Colored dots represent the value of the eigenmode at any given node of the graph, both positive and negative, and are overlayed on top of a green, glass brain shown in the coronal, sagittal, and axial plane. These eigenmodes represent the four slowest diffusion processes in the brain network where diffusion occurs quickly between similarly colored nodes, and slowly from bright red to dark blue (or vice versa as eigenmodes are identical under sign reversal).