ArticlePLoS computational biology2021
Inhibitory neurons exhibit high controlling ability in the cortical microconnectome.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Tyrosine Hydroxylase Deficiency Impairs TH Axonal Transport, Brain Function, and Neuronal Plasticity.Journal of inherited metabolic disease · 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
- Advances in large-scale electrophysiology with high-density microelectrode arrays.Lab on a chip · 2025Review
- Neural network embedding of functional microconnectome.Network neuroscience (Cambridge, Mass.) · 2025Article
- Maximum likelihood estimation of spatially dependent interactions in large populations of cortical neurons.Frontiers in computational neuroscience · 2025Article
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
- Effects of connectivity hyperalignment (CHA) on estimated brain network properties: from coarse-scale to fine-scale.bioRxiv : the preprint server for biology · 2024Article
- Response inhibition in premotor cortex corresponds to a complex reshuffle of the mesoscopic information network.Network neuroscience (Cambridge, Mass.) · 2024Article
- High-resolution analysis of bound CaLife science alliance · 2024Article
- The serotonergic psychedelic N,N-dipropyltryptamine alters information-processing dynamics in in vitro cortical neural circuits.Network neuroscience (Cambridge, Mass.) · 2024Article
- Mutual generation in neuronal activity across the brain via deep neural approach, and its network interpretation.Communications biology · 2023Article
- Whole-Brain Evaluation of Cortical Microconnectomes.eNeuro · 2023Article
- Single spikes drive sequential propagation and routing of activity in a cortical network.eLife · 2023Article
- Common Microscale and Macroscale Principles of Connectivity in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Early lock-in of structured and specialised information flows during neural development.eLife · 2022Article
- Inferring Excitatory and Inhibitory Connections in Neuronal Networks.Entropy (Basel, Switzerland) · 2021Article
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7 authors.
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Abstract
The brain is a network system in which excitatory and inhibitory neurons keep activity balanced in the highly non-random connectivity pattern of the microconnectome. It is well known that the relative percentage of inhibitory neurons is much smaller than excitatory neurons in the cortex. So, in general, how inhibitory neurons can keep the balance with the surrounding excitatory neurons is an important question. There is much accumulated knowledge about this fundamental question. This study quantitatively evaluated the relatively higher functional contribution of inhibitory neurons in terms of not only properties of individual neurons, such as firing rate, but also in terms of topological mechanisms and controlling ability on other excitatory neurons. We combined simultaneous electrical recording (~2.5 hours) of ~1000 neurons in vitro, and quantitative evaluation of neuronal interactions including excitatory-inhibitory categorization. This study accurately defined recording brain anatomical targets, such as brain regions and cortical layers, by inter-referring MRI and immunostaining recordings. The interaction networks enabled us to quantify topological influence of individual neurons, in terms of controlling ability to other neurons. Especially, the result indicated that highly influential inhibitory neurons show higher controlling ability of other neurons than excitatory neurons, and are relatively often distributed in deeper layers of the cortex. Furthermore, the neurons having high controlling ability are more effectively limited in number than central nodes of k-cores, and these neurons also participate in more clustered motifs. In summary, this study suggested that the high controlling ability of inhibitory neurons is a key mechanism to keep balance with a large number of other excitatory neurons beyond simple higher firing rate. Application of the selection method of limited important neurons would be also applicable for the ability to effectively and selectively stimulate E/I imbalanced disease states.
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