Voxels in the default mode network (DMN) show the highest agreement between structural and functional connectivity in the human brain. Using fMRI and DTI data, structural connectivity was measured with probabilistic and global fiber-tracking, while functional connectivity used full and partial correlations of voxel timecourses. Bilateral precuneal and inferior parietal regions were identified by all methods; global tracking additionally revealed medial prefrontal cortices and early visual areas. Full and partial correlations yielded no significant differences. The DMN appears to use the most direct structural connections, suggesting the brain's anatomy shapes its functional repertoire.
Integrated information theory (IIT) identifies consciousness with maximally integrated conceptual information, quantified by Φ^max, and holds that phenomenal experience corresponds to the maximally irreducible cause-effect repertoires of a physical system in a given state. This work provides a general formulation of Φ^max using probabilistic models, treating the system as a first-order time-invariant Markov process and specifying all operations via the system's joint probability distribution over two adjacent time points.