Nowadays, it is possible to obtain brain networks from data measured by a Magnetic Resonance Imaging (MRI) scanner. This opens up new ways of understanding the human brain. One new possibility is comparing two brain networks, which may aid in understanding brain diseases like Alzheimer’s disease. We present an application designed to compare two such networks, either obtained from two people, the same person using different techniques, or the same person at a
different point in time.
Visualizing two brain networks is challenging because these networks are already difficult to understand on their own. The usual way to compare two large networks is by computing graph properties, such as the small-worldness. Such graph properties are only a coarse representation of a network, and many interesting properties are lost. Our application shows more information, allowing an expert to not only identify differences and their anatomical locations, but also to investigate their causes and their effects on the rest of the network.