Current literature on neural connectivity and dynamics, or equivalently, structure and function, is systemically reviewed in the current article. Based on fMRI data, I have specifically discussed how changes in the connectivity of a neural network affect the spatiotemporal network dynamics qualitatively. I have also considered local dynamics at the network nodes, which include fixed point dynamics, and oscillatory and chaotic dynamics. These properties are represented by the connectivity matrix such as its statistics, symmetry, and translational invariance. Since the connection topology changes when anatomical scales are traversed, the corresponding network dynamics also change. Consequently, different types of networks are encountered at different levels of neural organization. Neurostatistics contribute to elucidating neural connectivity.