ArticleCerebral cortex (New York, N.Y. : 1991)2015
Functional Clusters, Hubs, and Communities in the Cortical Microconnectome.
Article in Cerebral cortex (New York, N.Y. : 1991), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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Who cites it
63 citing papers in PubMed.
- Single-neuron network topology governs neural computation and learning in primate cortex.Nature communications · 2026Article
- Amyloid-β acute exposition affects the CA1 hippocampal network activity and its topological organization, evaluated with multielectrode arrays.Frontiers in dementia · 2026Article
- Brain Connectivity, Neural Networks, and Resilience in Aging and Neurodegeneration.The American journal of pathology · 2025Review
- Inferring effective networks of spiking neurons using a continuous-time estimator of transfer entropy.PLoS computational biology · 2025Article
- Neural network embedding of functional microconnectome.Network neuroscience (Cambridge, Mass.) · 2025Article
- Revealing single-neuron and network-activity interaction by combining high-density microelectrode array and optogenetics.Nature communications · 2024Article
- Effects of connectivity hyperalignment (CHA) on estimated brain network properties: from coarse-scale to fine-scale.bioRxiv : the preprint server for biology · 2024Article
- Neuronal avalanche dynamics regulated by spike-timing-dependent plasticity under different topologies and heterogeneities.Cognitive neurodynamics · 2024Article
- Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains.PLoS computational biology · 2024Article
- Cortical timescales and the modular organization of structural and functional brain networks.Human brain mapping · 2024Article
- The serotonergic psychedelic N,N-dipropyltryptamine alters information-processing dynamics in in vitro cortical neural circuits.Network neuroscience (Cambridge, Mass.) · 2024Article
- Response inhibition in premotor cortex corresponds to a complex reshuffle of the mesoscopic information network.Network neuroscience (Cambridge, Mass.) · 2024Article
- Whole-Brain Evaluation of Cortical Microconnectomes.eNeuro · 2023Article
- From single-neuron dynamics to higher-order circuit motifs in control and pathological brain networks.The Journal of physiology · 2023Article
- Recurrent activity in neuronal avalanches.Scientific reports · 2023Article
- Network inference from short, noisy, low time-resolution, partial measurements: Application toProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics.Frontiers in neuroscience · 2023Article
- Early lock-in of structured and specialised information flows during neural development.eLife · 2022Article
- Information flow in the rat thalamo-cortical system: spontaneous vs. stimulus-evoked activities.Scientific reports · 2021Article
- Learning in Convolutional Neural Networks Accelerated by Transfer Entropy.Entropy (Basel, Switzerland) · 2021Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although relationships between networks of different scales have been observed in macroscopic brain studies, relationships between structures of different scales in networks of neurons are unknown. To address this, we recorded from up to 500 neurons simultaneously from slice cultures of rodent somatosensory cortex. We then measured directed effective networks with transfer entropy, previously validated in simulated cortical networks. These effective networks enabled us to evaluate distinctive nonrandom structures of connectivity at 2 different scales. We have 4 main findings. First, at the scale of 3-6 neurons (clusters), we found that high numbers of connections occurred significantly more often than expected by chance. Second, the distribution of the number of connections per neuron (degree distribution) had a long tail, indicating that the network contained distinctively high-degree neurons, or hubs. Third, at the scale of tens to hundreds of neurons, we typically found 2-3 significantly large communities. Finally, we demonstrated that communities were relatively more robust than clusters against shuffling of connections. We conclude the microconnectome of the cortex has specific organization at different scales, as revealed by differences in robustness. We suggest that this information will help us to understand how the microconnectome is robust against damage.
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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 OpenQuestion graph.