ArticleNature neuroscience2025
The cell-type underpinnings of the human functional cortical connectome.
Article in Nature neuroscience, 2025. 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.
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- Subtyping psychotic disorders using a data-driven approach reveals divergent cortical and cellular signatures.Molecular psychiatry · 2026Article
- Article
- Metabolism-weighted brain connectome reveals synaptic integration and vulnerability to neurodegeneration.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Molecular and cellular correlates of human cortical lateralization.Communications biology · 2026Article
- Mapping shared and specific cortical after-effects of repetitive TMS on brain function.BMC medicine · 2026Article
- Opportunities and pitfalls of data contextualization in neuroimaging.Nature reviews. Neuroscience · 2026Review
- Integrating optogenetic fMRI and spatial transcriptomics to reveal circuit-specific gene signatures in fronto- and hippo-thalamic networks.Nature communications · 2026Article
- Competitive interactions shape mammalian brain network dynamics and computation.Nature neuroscience · 2026Article
- Cellular Diversity Underpins Cortical Organization and Disease Vulnerability in the Human Brain.Neuroscience bulletin · 2026Article
- Cortical gradient compression links cognition and transcriptomic signatures in primary angle-closure glaucoma.Communications biology · 2026Article
- Functional connectome gradient alterations in herpes zoster and postherpetic neuralgia: associations with gene expression profiles.The journal of headache and pain · 2026Article
- Commonality and Variability in Functional Networks in Children Under 5 Years Old.bioRxiv : the preprint server for biology · 2026Article
- Opportunities for RNA sequencing in physiology: from big data to understanding homeostasis and heterogeneity.Function (Oxford, England) · 2026Review
- Accelerated brain aging in amyotrophic lateral sclerosis and its prognostic associations: a cohort study.BMC medicine · 2026Article
- Lifestyle and Transcriptional Signatures Associated with Ethnicity/Race-Related Variations in the Functional Connectome.Research (Washington, D.C.) · 2026Article
- HyperpolarizedImaging neuroscience (Cambridge, Mass.) · 2026Article
- Cortical morphometric gradients reveal molecular and cognitive underpinnings of bipolar disorder.Psychological medicine · 2025Article
- Bivariate GSA-MiXeR: A Novel Tool for Functional Genomic Analyses Implicates Diverse Neural Cell Types for Psychiatric and Neurodegenerative Disorders.medRxiv : the preprint server for health sciences · 2025Article
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9 authors.
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Abstract
The functional properties of the human brain arise, in part, from the vast assortment of cell types that pattern the cerebral cortex. The cortical sheet can be broadly divided into distinct networks, which are embedded into processing streams, or gradients, that extend from unimodal systems through higher-order association territories. Here using microarray data from the Allen Human Brain Atlas and single-nucleus RNA-sequencing data from multiple cortical territories, we demonstrate that cell-type distributions are spatially coupled to the functional organization of cortex, as estimated through functional magnetic resonance imaging. Differentially enriched cells follow the spatial topography of both functional gradients and associated large-scale networks. Distinct cellular fingerprints were evident across networks, and a classifier trained on postmortem cell-type distributions was able to predict the functional network allegiance of cortical tissue samples. These data indicate that the in vivo organization of the cortical sheet is reflected in the spatial variability of its cellular composition.
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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 Socratic graph.