Evidence map›Paper›PMID 34851292›Full record

ArticleeLife2021

Structure and function of axo-axonic inhibition.

Casey M Schneider-Mizell, Agnes L Bodor, Forrest Collman, Derrick Brittain, Adam Bleckert, Sven Dorkenwald, Nicholas L Turner, Thomas Macrina, Kisuk Lee, Ran Lu and 30 more

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Cortical control of chandelier cells in neural codes.Frontiers in cellular neuroscience · 2022
    Pooled it
  3. Review
  4. Article
  5. Physical contact reveals a hidden layer of cortical architecture.bioRxiv : the preprint server for biology · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Hide-and-Seek genome editing reveals that Gephyrin is required for axo-axonic synapse assembly.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Theory of axo-axonic inhibition.PLoS computational biology · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. Impaired axon initial segment structure and function in a model ofProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

40 authors.

Casey M Schneider-MizellAllen Institute for Brain Sciences, Seattle, United States.ORCID 0000-0001-9477-3853
Agnes L Bodor *Allen Institute for Brain Sciences, Seattle, United States.
Forrest Collman *Allen Institute for Brain Sciences, Seattle, United States.ORCID 0000-0002-0280-7022
Derrick Brittain *Allen Institute for Brain Sciences, Seattle, United States.
Adam BleckertAllen Institute for Brain Sciences, Seattle, United States.
Sven Dorkenwald *Princeton Neuroscience Institute, Princeton University, Princeton, United States.
Nicholas L Turner *Princeton Neuroscience Institute, Princeton University, Princeton, United States.
Thomas Macrina *Princeton Neuroscience Institute, Princeton University, Princeton, United States.
Kisuk Lee *Princeton Neuroscience Institute, Princeton University, Princeton, United States.
Ran Lu *Princeton Neuroscience Institute, Princeton University, Princeton, United States.
Jingpeng Wu *Princeton Neuroscience Institute, Princeton University, Princeton, United States.
Jun ZhuangAllen Institute for Brain Sciences, Seattle, United States.
Anirban NandiAllen Institute for Brain Sciences, Seattle, United States.
Brian HuAllen Institute for Brain Sciences, Seattle, United States.ORCID 0000-0002-5866-8762
JoAnn BuchananAllen Institute for Brain Sciences, Seattle, United States.
Marc M TakenoAllen Institute for Brain Sciences, Seattle, United States.ORCID 0000-0002-8384-7500
Russel TorresAllen Institute for Brain Sciences, Seattle, United States.
Gayathri MahalingamAllen Institute for Brain Sciences, Seattle, United States.
Daniel J BumbargerAllen Institute for Brain Sciences, Seattle, United States.
Yang LiAllen Institute for Brain Sciences, Seattle, United States.
Thomas ChartrandAllen Institute for Brain Sciences, Seattle, United States.ORCID 0000-0002-7093-8681
Nico KemnitzPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
William M SilversmithPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
Dodam IhPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
Jonathan ZungPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
Aleksandar ZlateskiPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
Ignacio TartavullPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
Sergiy PopovychPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
William WongPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
Manuel CastroPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
Chris S JordanPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
Emmanouil FroudarakisDepartment of Neuroscience, Baylor College of Medicine, Houston, United States.ORCID 0000-0002-3249-3845
Lynne BeckerAllen Institute for Brain Sciences, Seattle, United States.
Shelby SuckowAllen Institute for Brain Sciences, Seattle, United States.
Jacob ReimerDepartment of Neuroscience, Baylor College of Medicine, Houston, United States.
Andreas S ToliasDepartment of Neuroscience, Baylor College of Medicine, Houston, United States.ORCID 0000-0002-4305-6376
Costas A AnastassiouAllen Institute for Brain Sciences, Seattle, United States.
H Sebastian SeungPrinceton Neuroscience Institute, Princeton University, Princeton, United States.
R Clay ReidAllen Institute for Brain Sciences, Seattle, United States.ORCID 0000-0002-8697-6797
Nuno Maçarico da CostaAllen Institute for Brain Sciences, Seattle, United States.ORCID 0000-0003-2001-4568

Funding

Subcortical Neural Coding and DynamicsU19NS104648 · NINDS · PRINCETON UNIVERSITY · PI BRODY, CARLOS D · 2017 to 2021
$15.3M
Collaboratory for atlasing cell type anatomy in the female and male mouse brainU01MH114824 · NIMH · COLD SPRING HARBOR LABORATORY · PI MITRA, PARTHA PRATIM · 2017 to 2021
$11.7M
Circuit Mechanisms Underlying Persistent Activity in a Neural IntegratorR01EY027036 · NEI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Emre R Aksay, MARK S GOLDMAN · 2016 to 2026
$6.4M
Circuit Mechanisms Underlying Learned Changes in Persistent Neural ActivityR01NS104926 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI AKSAY, EMRE R, GOLDMAN, MARK S · 2018 to 2022
$4.1M
Crowdsourcing the Fly ConnectomeRF1MH117815 · NIMH · PRINCETON UNIVERSITY · PI MURTHY, MALA, SEUNG, HYUNJUNE SEBASTIAN · 2018 to 2018
$3.3M
Multi-modal, large-scale characterization of cellular and cell-type-specific effects with electric stimulation in rodent and human brainR01NS120300 · NINDS · ALLEN INSTITUTE · PI LEE, SOO YEUN · 2020 to 2024
$2.8M
NEI NIH HHS R01 EY027036NIMH NIH HHS RF1 MH117815NIMH NIH HHS RF1MH117815NIMH NIH HHS U01 MH114824NINDS NIH HHS R01 NS104926NINDS NIH HHS R01 NS120300NINDS NIH HHS U19 NS104648
6 · The paper itself

Abstract

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.

Indexed as

AnimalsFemaleMaleMiceMicroscopy, Electron, TransmissionPyramidal CellsSynapsesVisual Cortexaxon initial segmentconnectomicsinhibitionmouseneurosciencevisual cortex

Identifiers

PMID34851292
PMCPMC8758143

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.