TY - JOUR
T1 - Structure and function of axo-axonic inhibition
AU - Schneider-Mizell, Casey M.
AU - Bodor, Agnes L.
AU - Collman, Forrest
AU - Brittain, Derrick
AU - Bleckert, Adam A.
AU - Dorkenwald, Sven
AU - Turner, Nicholas L.
AU - Macrina, Thomas
AU - Lee, Kisuk
AU - Lu, Ran
AU - Wu, Jingpeng
AU - Zhuang, Jun
AU - Nandi, Anirban
AU - Hu, Brian
AU - Buchanan, Joann
AU - Takeno, Marc M.
AU - Torres, Russel
AU - Mahalingam, Gayathri
AU - Bumbarger, Daniel J.
AU - Li, Yang
AU - Chartrand, Tom
AU - Kemnitz, Nico
AU - Silversmith, William M.
AU - Ih, Dodam
AU - Zung, Jonathan
AU - Zlateski, Aleksandar
AU - Tartavull, Ignacio
AU - Popovych, Sergiy
AU - Wong, William
AU - Castro, Manuel
AU - Jordan, Chris S.
AU - Froudarakis, Emmanouil
AU - Becker, Lynne
AU - Suckow, Shelby
AU - Reimer, Jacob
AU - Tolias, Andreas S.
AU - Anastassiou, Costas A.
AU - Seung, H. Sebastian
AU - Reid, R. Clay
AU - Da Costa, Nuno Maçarico
N1 - Funding Information:
We thank Wenjing Yin for re-imaging of sections with the EM. We thank Rob Young for managing the stitching and alignment pipeline at the Allen Institute for Brain Science (AIBS). We thank John Philips, Sill Coulter and the Program Management team at the AIBS for their guidance for project strategy and operations. We thank Hongkui Zeng, Ed Lein, Christof Koch and Allan Jones for their support and leadership. We thank the Manufacturing and Processing Engineering team at the AIBS for their help in implementing the EM imaging and sectioning pipeline. We thank Brian Youngstrom, Stuart Kendrick and the Allen Institute IT team for support with infrastructure, data management and data transfer. We thank the Facilities, Finance, and Legal teams at the AIBS for their support on the MICrONS contract. We thank the Neurosurgery and Behavior and the Transgenic Colony Management teams at the AIBS for the preparation of mice for calcium imaging of Chandelier cells. We thank Stephan Saalfeld for help with the parameters for 2D stitching and rough alignment of the dataset. We would like to thank the “Connectomics at Google” team for developing Neuroglancer and computational resource donations. We also would like to thank Amazon and Intel for their assistance. We thank S. Koolman, M. Moore, S. Morejohn, B. Silverman, K. Willie, and R. Willie for their image analyses, Garrett McGrath for computer system administration, and May Husseini and Larry and Janet Jackel for project administration. We thank Ueli Rutishauser, Ahmed El Hady and G. Ocker for advice and feedback. Supported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior/ Interior Business Center (DoI/IBC) contract numbers D16PC00003, D16PC00004, and D16PC0005. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/IBC, or the U.S. Government. HSS also acknowledges support from NIH/NINDS U19 NS104648, ARO W911NF-12-1-0594, NIH/NEI R01 EY027036, NIH/NIMH U01 MH114824, NIH/NINDS R01NS104926, NIH/NIMH RF1MH117815, and the Mathers Foundation. We thank the Allen Institute for Brain Science founder, Paul G. Allen, for his vision, encouragement and support.
Publisher Copyright:
© 2021, eLife Sciences Publications Ltd. All rights reserved.
PY - 2021/12
Y1 - 2021/12
N2 - 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 axo41 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.
AB - 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 axo41 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.
KW - Cell types
KW - Chandelier cell
KW - Circuits
KW - EM connectomics
KW - Mouse visual cortex
UR - http://www.scopus.com/inward/record.url?scp=85122396252&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85122396252&partnerID=8YFLogxK
U2 - 10.7554/eLife.73783
DO - 10.7554/eLife.73783
M3 - Article
C2 - 34851292
AN - SCOPUS:85122396252
SN - 2050-084X
VL - 10
JO - eLife
JF - eLife
M1 - e73783
ER -