Functional connectivity of distant cortical regions: Role of remote synchronization and symmetry in interactions

• Published in: NeuroImage (Orlando, Fla.) Fla.), 2014-08, Vol.97, p.1-8
• Main Authors: Vuksanovic, Vesna, Hovel, Philipp
• Format: Article
• Language: English
• Subjects: Algorithms; Biological and medical sciences; Brain; Cerebral Cortex - anatomy & histology; Cerebral Cortex - physiology; Computational model; Data processing; Diffusion Magnetic Resonance Imaging; Functional connectivity; Functional Laterality - physiology; Fundamental and applied biological sciences. Psychology; Humans; Image Processing, Computer-Assisted - methods; Magnetic Resonance Imaging; Neighborhoods; Neural Pathways - anatomy & histology; Neural Pathways - physiology; NMR; Nuclear magnetic resonance; Oxygen - blood; Remote synchronization; Resting-state networks; Studies; Symmetry; Vertebrates: nervous system and sense organs
• ISSN: 1053-8119; 1095-9572
• DOI: 10.1016/j.neuroimage.2014.04.039

Functional MRI (fMRI) of ongoing brain activity at rest i.e. without any overt-directed behavior has revealed patterns of coherent activity, so called resting-state functional networks. The dynamical organization of nodes into these functional networks is closely related to the underlying structural connections. However, functional correlations have also been observed between cortical regions without apparent neural links, and mechanisms generating functional connectivity between distant cortical regions are largely unknown. It has been suggested that indirect connections and collective effects governed by the network properties of the cortex play a significant role. We use numerical simulations to investigate these mechanisms with reference to remote synchronization and network symmetry. Neural activity and the inferred hemodynamic response of the network nodes are modeled as sets of self-sustained oscillators, which are embedded in topologies of complex functional brain interactions. The coupling topology is based on connectivity maps derived from fMRI and DTI experiments. Consequently, our network model includes important information on whether direct or indirect neural connections exist between functionally associated regions. In the simulated functional networks, remote synchrony between pairs of nodes clearly arises from symmetry in the interactions, which are quantified by the number of shared neighbors. A larger joint neighborhood positively correlates with a higher level of synchrony. Therefore, our results indicate that a large overlapping neighborhood in complex networks of brain interactions gives rise to functional similarity between distant cortical regions. •We model functional connectivity at rest focusing on long-distance interactions.•Functional interactions are controlled for indirect anatomical connections.•Remote synchrony arises from symmetry of indirect connections.•Increased number of indirect connections affects the level of pair-wise synchrony.