A great challenge in neuroscience is the understanding of
the dynamic manner in which brain regions interact with one another in both
task-based and resting-state brain imaging studies. In this work, we introduce
a novel statistical method, called Network Change Point Detection (NCPD), which
dynamically clusters brain regions by their functional connectivity. NCPD promises
to offer deeper insight into the large-scale characterizations and mechanisms
of the brain as it can be used for the dynamic modelling of a very large number
of voxels or brain regions. We apply this new method to a resting-state fMRI
study.
