Fig. 2

An example of modeling the structure/function relationship in brain networks . (a) A structural connectivity matrix comprising 47 regions of the macaque cortex and their anatomical relationships, based on a collation of tract-tracing data [for more detail, see Honey et al. (2007)]. The matrix is binary and directed, with black squares indicating the presence of a connection from one area (matrix row) to another (matrix column). (b) Biophysical equations that describe nodal dynamics in a so-called neural mass model (Honey et al. 2007). (c) Combination of the structural connectivity matrix and the biophysical equations yields a time series for neuronal dynamics that can be rendered as functional connectivity . Structural perturbations (e.g., deletion of nodes or edges in the connectome) or functional inputs (e.g., simulating task performance) can be used to explore differences in functional connectivity. Both structural and functional connectivity are presented with identical arrangements of brain regions, and two functional modules are indicated (modules 1 and 2)