ArticleFrontiers in neuroscience2025
Network topological reorganization mechanisms of primary visual cortex under multimodal stimulation.
Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Deriving functional network topology frombioRxiv : the preprint server for biology · 2026Article
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6 authors.
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Abstract
Introduction: The functional connectivity topology of the primary visual cortex (V1) shapes sensory processing and cross-modal integration, yet how different sensory modalities reorganize V1 network architecture remains unclear. We hypothesized that multimodal input drives a shift from hub-centric, modular processing toward globally integrated, distributed configurations. Methods: We performed Results: Unimodal visual stimulation increased betweenness centrality and highlighted prominent hub nodes, supporting locally modular, hub-centric information control. In contrast, bimodal visuotactile stimulation elevated closeness centrality and global efficiency, broadened connectivity, and reduced modularity, indicating enhanced global integration with more distributed information flow. Moreover, under unimodal conditions the top five centrality nodes exhibited significantly stronger calcium responses than other neurons, whereas this response hierarchy was abolished under bimodal stimulation. Discussion: V1 dynamically balances local specialization and global integration through context-dependent topological reconfiguration: unimodal processing relies on hub-centric, modular architectures, while cross-modal input promotes globally optimized, distributed networks with higher connectivity efficiency. These findings provide a network-level framework for multisensory integration and offer insights relevant to theories of sensory computation and potential strategies to harness cross-modal plasticity.
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