  The frequency-specific coupling mechanism of the functional human brain
networks underpins its complex cognitive and behavioral functions.
Nevertheless, it is not well unveiled what are the frequency-specific
subdivisions and network topologies of the human brain. In this study, we
estimated functional connectivity of the human cerebral cortex using spectral
connection, and conducted frequency-specific parcellation using
eigen-clustering and gradient-based methods, and then explored their
topological structures. 7T fMRI data of 184 subjects in the HCP dataset were
used for parcellation and exploring the topological properties of the
functional networks, and 3T fMRI data of another 890 subjects were used to
confirm the stability of the frequency-specific topologies. Seven to ten
functional networks were stably integrated by two to four dissociable hub
categories at specific frequencies, and we proposed an intrinsic functional
atlas containing 456 parcels according to the parcellations across frequencies.
The results revealed that the functional networks contained stable
frequency-specific topologies, which may imply more abundant roles of the
functional units and more complex interactions among them.
