At this moment, databanks worldwide contain brain images of previously unimaginable numbers.
We present two related methods for deriving connectivity-based brain atlases from individual connectomes.
There is no consensus on how to construct structural brain networks from diffusion MRI.
In this work, we study the extent to which structural connectomes and topological derivative measures are unique to individual changes within human brains.
Understanding brain connectivity in a network-theoretic context has shown much promise in recent years.