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author Schneider-Mizell, Casey M
Bodor, Agnes L
Collman, Forrest
Brittain, Derrick
Bleckert, Adam
Dorkenwald, Sven
Turner, Nicholas L
Macrina, Thomas
Lee, Kisuk
Lu, Ran
Wu, Jingpeng
Zhuang, Jun
Nandi, Anirban
Hu, Brian
Buchanan, JoAnn
Takeno, Marc M
Torres, Russel
Mahalingam, Gayathri
Bumbarger, Daniel J
Li, Yang
Chartrand, Thomas
Kemnitz, Nico
Silversmith, William M
Ih, Dodam
Zung, Jonathan
Zlateski, Aleksandar
Tartavull, Ignacio
Popovych, Sergiy
Wong, William
Castro, Manuel
Jordan, Chris S
Froudarakis, Emmanouil
Becker, Lynne
Suckow, Shelby
Reimer, Jacob
Tolias, Andreas S
Anastassiou, Costas A
Seung, H Sebastian
Reid, R Clay
da Costa, Nuno Maçarico
author_facet Schneider-Mizell, Casey M
Bodor, Agnes L
Collman, Forrest
Brittain, Derrick
Bleckert, Adam
Dorkenwald, Sven
Turner, Nicholas L
Macrina, Thomas
Lee, Kisuk
Lu, Ran
Wu, Jingpeng
Zhuang, Jun
Nandi, Anirban
Hu, Brian
Buchanan, JoAnn
Takeno, Marc M
Torres, Russel
Mahalingam, Gayathri
Bumbarger, Daniel J
Li, Yang
Chartrand, Thomas
Kemnitz, Nico
Silversmith, William M
Ih, Dodam
Zung, Jonathan
Zlateski, Aleksandar
Tartavull, Ignacio
Popovych, Sergiy
Wong, William
Castro, Manuel
Jordan, Chris S
Froudarakis, Emmanouil
Becker, Lynne
Suckow, Shelby
Reimer, Jacob
Tolias, Andreas S
Anastassiou, Costas A
Seung, H Sebastian
Reid, R Clay
da Costa, Nuno Maçarico
author_sort Schneider-Mizell, Casey M
collection PubMed
description Inhibitory neurons in mammalian cortex exhibit diverse physiological, morphological, molecular, and connectivity signatures. While considerable work has measured the average connectivity of several interneuron classes, there remains a fundamental lack of understanding of the connectivity distribution of distinct inhibitory cell types with synaptic resolution, how it relates to properties of target cells, and how it affects function. Here, we used large-scale electron microscopy and functional imaging to address these questions for chandelier cells in layer 2/3 of the mouse visual cortex. With dense reconstructions from electron microscopy, we mapped the complete chandelier input onto 153 pyramidal neurons. We found that synapse number is highly variable across the population and is correlated with several structural features of the target neuron. This variability in the number of axo-axonic ChC synapses is higher than the variability seen in perisomatic inhibition. Biophysical simulations show that the observed pattern of axo-axonic inhibition is particularly effective in controlling excitatory output when excitation and inhibition are co-active. Finally, we measured chandelier cell activity in awake animals using a cell-type-specific calcium imaging approach and saw highly correlated activity across chandelier cells. In the same experiments, in vivo chandelier population activity correlated with pupil dilation, a proxy for arousal. Together, these results suggest that chandelier cells provide a circuit-wide signal whose strength is adjusted relative to the properties of target neurons.
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spelling pubmed-87581432022-01-18 Structure and function of axo-axonic inhibition Schneider-Mizell, Casey M Bodor, Agnes L Collman, Forrest Brittain, Derrick Bleckert, Adam Dorkenwald, Sven Turner, Nicholas L Macrina, Thomas Lee, Kisuk Lu, Ran Wu, Jingpeng Zhuang, Jun Nandi, Anirban Hu, Brian Buchanan, JoAnn Takeno, Marc M Torres, Russel Mahalingam, Gayathri Bumbarger, Daniel J Li, Yang Chartrand, Thomas Kemnitz, Nico Silversmith, William M Ih, Dodam Zung, Jonathan Zlateski, Aleksandar Tartavull, Ignacio Popovych, Sergiy Wong, William Castro, Manuel Jordan, Chris S Froudarakis, Emmanouil Becker, Lynne Suckow, Shelby Reimer, Jacob Tolias, Andreas S Anastassiou, Costas A Seung, H Sebastian Reid, R Clay da Costa, Nuno Maçarico eLife Neuroscience Inhibitory neurons in mammalian cortex exhibit diverse physiological, morphological, molecular, and connectivity signatures. While considerable work has measured the average connectivity of several interneuron classes, there remains a fundamental lack of understanding of the connectivity distribution of distinct inhibitory cell types with synaptic resolution, how it relates to properties of target cells, and how it affects function. Here, we used large-scale electron microscopy and functional imaging to address these questions for chandelier cells in layer 2/3 of the mouse visual cortex. With dense reconstructions from electron microscopy, we mapped the complete chandelier input onto 153 pyramidal neurons. We found that synapse number is highly variable across the population and is correlated with several structural features of the target neuron. This variability in the number of axo-axonic ChC synapses is higher than the variability seen in perisomatic inhibition. Biophysical simulations show that the observed pattern of axo-axonic inhibition is particularly effective in controlling excitatory output when excitation and inhibition are co-active. Finally, we measured chandelier cell activity in awake animals using a cell-type-specific calcium imaging approach and saw highly correlated activity across chandelier cells. In the same experiments, in vivo chandelier population activity correlated with pupil dilation, a proxy for arousal. Together, these results suggest that chandelier cells provide a circuit-wide signal whose strength is adjusted relative to the properties of target neurons. eLife Sciences Publications, Ltd 2021-12-01 /pmc/articles/PMC8758143/ /pubmed/34851292 http://dx.doi.org/10.7554/eLife.73783 Text en © 2021, Schneider-Mizell et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Schneider-Mizell, Casey M
Bodor, Agnes L
Collman, Forrest
Brittain, Derrick
Bleckert, Adam
Dorkenwald, Sven
Turner, Nicholas L
Macrina, Thomas
Lee, Kisuk
Lu, Ran
Wu, Jingpeng
Zhuang, Jun
Nandi, Anirban
Hu, Brian
Buchanan, JoAnn
Takeno, Marc M
Torres, Russel
Mahalingam, Gayathri
Bumbarger, Daniel J
Li, Yang
Chartrand, Thomas
Kemnitz, Nico
Silversmith, William M
Ih, Dodam
Zung, Jonathan
Zlateski, Aleksandar
Tartavull, Ignacio
Popovych, Sergiy
Wong, William
Castro, Manuel
Jordan, Chris S
Froudarakis, Emmanouil
Becker, Lynne
Suckow, Shelby
Reimer, Jacob
Tolias, Andreas S
Anastassiou, Costas A
Seung, H Sebastian
Reid, R Clay
da Costa, Nuno Maçarico
Structure and function of axo-axonic inhibition
title Structure and function of axo-axonic inhibition
title_full Structure and function of axo-axonic inhibition
title_fullStr Structure and function of axo-axonic inhibition
title_full_unstemmed Structure and function of axo-axonic inhibition
title_short Structure and function of axo-axonic inhibition
title_sort structure and function of axo-axonic inhibition
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758143/
https://www.ncbi.nlm.nih.gov/pubmed/34851292
http://dx.doi.org/10.7554/eLife.73783
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