4.8 Article

Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.2018459118

关键词

E/I balance; neuronal network; network dynamics; bursting

资金

  1. International Max Planck Research School for the Mechanisms of Mental Function and Dysfunction
  2. Minerva Foundation [124041]
  3. Clore Center for Biological Physics
  4. Israel Science Foundation [1385/16]
  5. Bundesministeriums fur Bildung und Forschung through the Tubingen AI Center [Forderkennzeichen: 01IS18039B]
  6. Sofja Kovalevskaja Award of Humboldt Foundation

向作者/读者索取更多资源

Research has shown that networks with different E/I ratios can maintain stable bursting dynamics, with changes only in extreme cases of 0-10% and 90-100% inhibitory cells. Single-cell recordings and modeling indicate that networks adapt to chronic alterations of E/I compositions by balancing E/I connectivity. Gradual blockade of inhibition substantiates the agreement between the model and experiment, defining its limits.
The interplay between excitation and inhibition is crucial for neuronal circuitry in the brain. Inhibitory cell fractions in the neocortex and hippocampus are typically maintained at 15 to 30%, which is assumed to be important for stable dynamics. We have studied systematically the role of precisely controlled excitatory/inhibitory (E/I) cellular ratios on network activity using mice hippocampal cultures. Surprisingly, networks with varying E/I ratios maintain stable bursting dynamics. Interburst intervals remain constant for most ratios, except in the extremes of 0 to 10% and 90 to 100% inhibitory cells. Single-cell recordings and modeling suggest that networks adapt to chronic alterations of E/I compositions by balancing E/I connectivity. Gradual blockade of inhibition substantiates the agreement between the model and experiment and defines its limits. Combining measurements of population and single-cell activity with theoretical modeling, we provide a clearer picture of how E/I balance is preserved and where it fails in living neuronal networks.

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