ArticleBrain imaging and behavior2024
How the intrinsic functional connectivity patterns of the semantic network support semantic processing.
Article in Brain imaging and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 5 citations in OpenAlex.
- Lexical Representations of the Native and Second Languages During L2 Word Reading in Chinese-English Bilinguals.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Neural integration of affective prosodic and semantic cues in non-literal forms of speech understanding.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Lexical Representations in the Common and Specific Neural Networks for Visual, Phonological, and Semantic Processing in Chinese Reading.Human brain mapping · 2025Article
- Structural and pragmatic language skills in school-age children relate to resting state functional connectivity.Brain imaging and behavior · 2025Article
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7 authors at 1 institution in 2 countries.
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Abstract
Semantic processing, a core of language comprehension, involves the activation of brain regions dispersed extensively across the frontal, temporal, and parietal cortices that compose the semantic network. To comprehend the functional structure of this semantic network and how it prepares for semantic processing, we investigated its intrinsic functional connectivity (FC) and the relation between this pattern and semantic processing ability in a large sample from the Human Connectome Project (HCP) dataset. We first defined a well-studied brain network for semantic processing, and then we characterized the within-network connectivity (WNC) and the between-network connectivity (BNC) within this network using a voxel-based global brain connectivity (GBC) method based on resting-state functional magnetic resonance imaging (fMRI). The results showed that 97.73% of the voxels in the semantic network displayed considerably greater WNC than BNC, demonstrating that the semantic network is a fairly encapsulated network. Moreover, multiple connector hubs in the semantic network were identified after applying the criterion of WNC > 1 SD above the mean WNC of the semantic network. More importantly, three of these connector hubs (i.e., the left anterior temporal lobe, angular gyrus, and orbital part of the inferior frontal gyrus) were reliably associated with semantic processing ability. Our findings suggest that the three identified regions use WNC as the central mechanism for supporting semantic processing and that task-independent spontaneous connectivity in the semantic network is essential for semantic processing.
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