ArticleScience advances2021
Dynamical consequences of regional heterogeneity in the brain's transcriptional landscape.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.
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Who cites it
86 citing papers in PubMed.
- Biophysically inspired mean-field model of neuronal populations driven by ion-exchange mechanisms.eLife · 2026Article
- Spatially structured heterogeneity shapes large-scale cortical dynamics in a model of the human cortex.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
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- Tract-explainable and underexplained synchrony play complementary roles in the functional organization of the brain.bioRxiv : the preprint server for biology · 2026Article
- A multi-modal parcellation of human globus pallidus and its implications for symptom prediction and stratification in Parkinson's disease.BMC medicine · 2026Article
- Resting-state EEG alpha-BOLD coupling spatially follows cortical cell-type and receptor gradients.bioRxiv : the preprint server for biology · 2026Article
- Competitive interactions shape mammalian brain network dynamics and computation.Nature neuroscience · 2026Article
- Personalized whole-brain Ising models with heterogeneous nodes capture differences among brain regions.bioRxiv : the preprint server for biology · 2026Article
- The role of connectivity for the degeneracy of the brain's resting state dynamics.Journal of computational neuroscience · 2026Article
- TVB C++: A Fast and Flexible Back-End for The Virtual Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- From chemistry to cognition: the adaptive origins of consciousness under constraint.Frontiers in neuroscience · 2026Article
- AI-enabled multimodal neuroimaging for neurotransmitter mapping in normal aging and age-related disease.Frontiers in aging neuroscience · 2026Review
- Article
- Inferring intrinsic neural timescales using optimal control theory.Nature communications · 2025Article
- Comprehensive Single-Cell Transcriptomic Atlas of the Mouse Pons and Medulla.Scientific data · 2025Article
- cuBNM: GPU-Accelerated Brain Network Modeling.bioRxiv : the preprint server for biology · 2025Article
- Simultaneously determining regional heterogeneity and connection directionality from neural activity and symmetric connection.PLoS computational biology · 2025Article
- Network dynamics underlying activity-timescale differences between cortical regions.bioRxiv : the preprint server for biology · 2025Article
- Local homeostasis preserves global neural dynamics compensating for structural loss during human lifespan aging.Communications biology · 2025Article
- Effective workflow from multimodal MRI data to model-based prediction.Scientific reports · 2025Article
26 more citing papers are in PubMed but not listed here.
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8 authors.
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Abstract
Brain regions vary in their molecular and cellular composition, but how this heterogeneity shapes neuronal dynamics is unclear. Here, we investigate the dynamical consequences of regional heterogeneity using a biophysical model of whole-brain functional magnetic resonance imaging (MRI) dynamics in humans. We show that models in which transcriptional variations in excitatory and inhibitory receptor (E:I) gene expression constrain regional heterogeneity more accurately reproduce the spatiotemporal structure of empirical functional connectivity estimates than do models constrained by global gene expression profiles or MRI-derived estimates of myeloarchitecture. We further show that regional transcriptional heterogeneity is essential for yielding both ignition-like dynamics, which are thought to support conscious processing, and a wide variance of regional-activity time scales, which supports a broad dynamical range. We thus identify a key role for E:I heterogeneity in generating complex neuronal dynamics and demonstrate the viability of using transcriptomic data to constrain models of large-scale brain function.
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