ReviewFrontiers in neural circuits2021
Neuronal Graphs: A Graph Theory Primer for Microscopic, Functional Networks of Neurons Recorded by Calcium Imaging.
Review in Frontiers in neural circuits, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Large-Scale Neural Recording Technologies for Investigating Circuit Dysfunction and Functional Biomarker Discovery in Animal Models of Alzheimer's Disease.International journal of molecular sciences · 2026Review
- Ultra-wide-field, deep, adaptive two-photon microscopy for multi-scale neuronal imaging.Light, science & applications · 2026Article
- Amygdala clustering coefficients modulate the effect of neuroticism on the sensation of boredom.Brain structure & function · 2026Article
- Brain Connectivity, Neural Networks, and Resilience in Aging and Neurodegeneration.The American journal of pathology · 2025Review
- Optogenetically enhanced physical reservoir computing withJournal of biomedical optics · 2025Article
- Calciumnetexplorer: an R package for network analysis of calcium imaging data.BMC bioinformatics · 2025Article
- Cerebral cortical functional hyperconnectivity in a mouse model of spinocerebellar ataxia type 8 (SCA8).Neurobiology of disease · 2025Article
- Disorganization of Small-World Functional Brain Networks in First-Episode, Treatment-Naïve Adolescents With Major Depressive Disorder.Brain and behavior · 2025Article
- Cerebral cortical functional hyperconnectivity in a mouse model of spinocerebellar ataxia type 8 (SCA8).bioRxiv : the preprint server for biology · 2024Article
- Data-Driven Network Dynamical Model of Rat Brains During Acute Ictogenesis.Frontiers in neural circuits · 2022Article
- From calcium imaging to graph topology.Network neuroscience (Cambridge, Mass.) · 2022Review
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2 authors.
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Abstract
Connected networks are a fundamental structure of neurobiology. Understanding these networks will help us elucidate the neural mechanisms of computation. Mathematically speaking these networks are "graphs"-structures containing objects that are connected. In neuroscience, the objects could be regions of the brain, e.g., fMRI data, or be individual neurons, e.g., calcium imaging with fluorescence microscopy. The formal study of graphs, graph theory, can provide neuroscientists with a large bank of algorithms for exploring networks. Graph theory has already been applied in a variety of ways to fMRI data but, more recently, has begun to be applied at the scales of neurons, e.g., from functional calcium imaging. In this primer we explain the basics of graph theory and relate them to features of microscopic functional networks of neurons from calcium imaging-neuronal graphs. We explore recent examples of graph theory applied to calcium imaging and we highlight some areas where researchers new to the field could go awry.
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