Abstract
The Default Mode Network (DMN) is one of the large-scale brain networks. Functional heterogeneity refers to the idea that a brain region that is anatomically classified as a single area can be divided into a number of functionally different sub-regions. Functional heterogeneity has been discussed with respect to large brain areas as well as networks such as the Working memory network (WMN) and DMN. Brain regions relate to functions in such a way that multiple functions can be related to one area, and multiple regions can work together as a network to perform a single function. Therefore, a region might function as part of a certain network in one task, while the same region might function as part of a different network under a different task. We discuss some instances of functional heterogeneity, and then consider key implications for understanding brain networks, mainly using the DMN as an example.
