A framework is outlined for connecting brain imaging activity with the underlying biophysical properties of neural networks, and their mechanisms of action and organizing principles. The main thrust of the framework is a dynamic theory of semantics based on functional integration of biophysical neural networks. It asserts that higher-brain function arises from both synaptic and extrasynaptic integration in the neuropil where information on environmental changes are represented dynamically through a discourse of semantics. Consequently, integrative neural modeling is shown to be an important methodology for analyzing the response activities of functional imaging studies in elucidating the relationship between brain and structure, function and behavior.