ArticleeLife2018
The modulation of neural gain facilitates a transition between functional segregation and integration in the brain.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.
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Who cites it
90 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Emotional arousal enhances narrative memories through functional integration of large-scale brain networks.Nature human behaviour · 2026Article
- Behavioral and neural mechanisms underlying contextual processing in naturalistic short video viewing.iScience · 2026Article
- Multiscale Brain Structural Network Reorganization in Diabetic Retinopathy Using Regional Radiomics Similarity Networks.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Mapping Multiscale Brain Changes in Primary Angle-Closure Glaucoma Using Regional Radiomics Similarity Networks.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Stable individualized brain computing model informed by spatiotemporal co-activity patterns.PLoS computational biology · 2025Article
- Preoperative Cholinergic Signatures Drive Segregated Brain Architecture in Postoperative Delirium.Research square · 2025Article
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- Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks.bioRxiv : the preprint server for biology · 2025Article
30 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cognitive function relies on a dynamic, context-sensitive balance between functional integration and segregation in the brain. Previous work has proposed that this balance is mediated by global fluctuations in neural gain by projections from ascending neuromodulatory nuclei. To test this hypothesis in silico, we studied the effects of neural gain on network dynamics in a model of large-scale neuronal dynamics. We found that increases in neural gain directed the network through an abrupt dynamical transition, leading to an integrated network topology that was maximal in frontoparietal 'rich club' regions. This gain-mediated transition was also associated with increased topological complexity, as well as increased variability in time-resolved topological structure, further highlighting the potential computational benefits of the gain-mediated network transition. These results support the hypothesis that neural gain modulation has the computational capacity to mediate the balance between integration and segregation in the brain.
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