ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016
The Hierarchical Structure of the Face Network Revealed by Its Functional Connectivity Pattern.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 82 citations in OpenAlex.
- Properties of face localizer activations and their application in functional magnetic resonance imaging (fMRI) fingerprinting.PloS one · 2019Trial
- Theta synchronization coordinates ventral temporal and medial temporal coding of human face familiarity.Cell reports · 2026Article
- How Long and How We Judge Age: A Cross-Racial and Cross-Gender Eye-Tracking Investigation.Aesthetic plastic surgery · 2026Article
- Trial-by-trial fMRI-neurofeedback dissociates fusiform and occipital contributions to face detection and recognition.Nature communications · 2026Article
- Predicting visual mental imagery: structural and transcriptomic signatures in the human brain.Communications biology · 2026Article
- Structural determinants of signal speed: Estimated axonal latency and its multimodal validation during face processing in autism.bioRxiv : the preprint server for biology · 2025Article
- Left hemisphere abnormalities in face-selective activation and functional connectivity in developmental prosopagnosia.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Distributed network flows generate localized category selectivity in human visual cortex.PLoS computational biology · 2024Article
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- How the intrinsic functional connectivity patterns of the semantic network support semantic processing.Brain imaging and behavior · 2024Article
- Impact of inhibition level on field-dependent and field-independent individuals in attentional blink.Psychological research · 2024Article
- Assessing the coupling between local neural activity and global connectivity fluctuations: Application to human intracranial electroencephalography during a cognitive task.Human brain mapping · 2023Article
- Brain intrinsic connection patterns underlying tool processing in human adults are present in neonates and not in macaques.NeuroImage · 2022Article
- A strategy of model space search for dynamic causal modeling in task fMRI data exploratory analysis.Physical and engineering sciences in medicine · 2022Article
- Individual differences in white matter microstructure of the face processing brain network are more differentiated from global fibers with increasing ability.Scientific reports · 2022Article
- Dissociation of categorical and coordinate spatial relations on dynamic network organization states.Frontiers in human neuroscience · 2022Article
- Homogenization of face neural representation during development.Developmental cognitive neuroscience · 2021Article
- Dissociating the Neural Correlates of Consciousness and Task Relevance in Face Perception Using Simultaneous EEG-fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Robot faces elicit responses intermediate to human faces and objects at face-sensitive ERP components.Scientific reports · 2021Article
- Spontaneously emerging patterns in human visual cortex and their functional connectivity are linked to the patterns evoked by visual stimuli.Journal of neurophysiology · 2020Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 between the occipital face area and fusiform face area in the hierarchically organized FN. Significance statement: Although the integration and segregation are major principles of human brain organization, little is known about whether they support the cognitive processes. By correlating the within-network connectivity (WNC) and between-network connectivity (BNC) of the face network with face recognition performance, we found that individuals with stronger WNC in the right fusiform face area or weaker BNC in the right occipital face area were better at recognizing faces. Our study not only demonstrates the behavioral relevance of the integration and segregation but also provides evidence supporting functional division of labor between the occipital face area and fusiform face area in the hierarchically organized face network.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.