TY - JOUR
T1 - Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers
AU - Sukenik, Nirit
AU - Vinogradov, Oleg
AU - Weinreb, Eyal
AU - Segal, Menahem
AU - Levina, Anna
AU - Moses, Elisha
N1 - Publisher Copyright: © 2021 National Academy of Sciences. All rights reserved.
PY - 2021/3/23
Y1 - 2021/3/23
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85102683907&partnerID=8YFLogxK
U2 - 10.1073/pnas.2018459118
DO - 10.1073/pnas.2018459118
M3 - مقالة
C2 - 33723048
SN - 0027-8424
VL - 118
JO - Proceedings of the National Academy of Sciences - PNAS
JF - Proceedings of the National Academy of Sciences - PNAS
IS - 12
M1 - e2018459118
ER -