The Hierarchical Structure of the Face Network Revealed by Its Functional Connectivity Pattern

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
Xu WangJia Liu

Abstract

A major principle of human brain organization is "integrating" some regions into networks while "segregating" other sets of regions into separate networks. However, little is known about the cognitive function of the integration and segregation of brain networks. Here, we examined the well-studied brain network for face processing, and asked whether the integration and segregation of the face network (FN) are related to face recognition performance. To do so, we used a voxel-based global brain connectivity method based on resting-state fMRI to characterize the within-network connectivity (WNC) and the between-network connectivity (BNC) of the FN. We found that 95.4% of voxels in the FN had a significantly stronger WNC than BNC, suggesting that the FN is a relatively encapsulated network. Importantly, individuals with a stronger WNC (i.e., integration) in the right fusiform face area were better at recognizing faces, whereas individuals with a weaker BNC (i.e., segregation) in the right occipital face area performed better in the face recognition tasks. In short, our study not only demonstrates the behavioral relevance of integration and segregation of the FN but also provides evidence supporting functional division of labor bet...Continue Reading

Citations

Sep 14, 2016·Cerebral Cortex·Gideon RosenthalGalia Avidan
Nov 14, 2016·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Lars MarstallerDavid C Reutens
Nov 20, 2019·Brain : a Journal of Neurology·Alexander L CohenMichael D Fox
Mar 22, 2020·Scientific Reports·Evangelos PapanastasiouSukhwinder S Shergill
Jun 26, 2020·Cerebral Cortex·Rafal M Skiba, Patrik Vuilleumier
Jan 5, 2021·Frontiers in Behavioral Neuroscience·Yin DuJia Liu

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