Principles of visual cortex excitatory microcircuit organization

Synapse-specific connectivity and dynamics determine microcircuit function but are challenging to explore with classic paired recordings due to their low throughput. We therefore implemented optomapping, a ∼100-fold faster two-photon optogenetic method. In mouse primary visual cortex (V1), we optomapped 30,454 candidate inputs to reveal 1,790 excitatory inputs to pyramidal, basket, and Martinotti cells. Across these cell types, log-normal distribution of synaptic efficacies emerged as a principle. For pyramidal cells, optomapping reproduced the canonical circuit but unexpectedly uncovered that the excitation of basket cells concentrated to layer 5 and that of Martinotti cells dominated in layer 2/3. The excitation of basket cells was stronger and reached farther than the excitation of pyramidal cells, which may promote stability. Short-term plasticity surprisingly depended on cortical layer in addition to target cell. Finally, optomapping revealed an overrepresentation of shared inputs for interconnected layer-6 pyramidal cells. Thus, by resolving the throughput problem, optomapping uncovered hitherto unappreciated principles of V1 structure.

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Publication Details

Journal
The Innovation
Published
2024-12-12
DOI
https://doi.org/10.1016/j.xinn.2024.100735
Citations
15
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
5.14

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article

Principles of visual cortex excitatory microcircuit organization

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15 citations
The Innovation
Neural dynamics and brain function
5.14
article

Principles of visual cortex excitatory microcircuit organization

Christina Y. C. Chou, P. Jesper Sjöström, Hovy Ho‐Wai Wong, Connie Guo, Javid Jannat, Kiminou E. Boukoulou, Vivian C. Wu, Cleo Huang, Tal Klimenko, Vivian Y. Li, Tasha A. Liang
article en
15 citations

Abstract

Synapse-specific connectivity and dynamics determine microcircuit function but are challenging to explore with classic paired recordings due to their low throughput. We therefore implemented optomapping, a ∼100-fold faster two-photon optogenetic method. In mouse primary visual cortex (V1), we optomapped 30,454 candidate inputs to reveal 1,790 excitatory inputs to pyramidal, basket, and Martinotti cells. Across these cell types, log-normal distribution of synaptic efficacies emerged as a principle. For pyramidal cells, optomapping reproduced the canonical circuit but unexpectedly uncovered that the excitation of basket cells concentrated to layer 5 and that of Martinotti cells dominated in layer 2/3. The excitation of basket cells was stronger and reached farther than the excitation of pyramidal cells, which may promote stability. Short-term plasticity surprisingly depended on cortical layer in addition to target cell. Finally, optomapping revealed an overrepresentation of shared inputs for interconnected layer-6 pyramidal cells. Thus, by resolving the throughput problem, optomapping uncovered hitherto unappreciated principles of V1 structure.

The InnovationVol. 6(1)
McGill University Health Centre (CA), McGill University (CA)
Réseau en Bio-Imagerie du Quebec, McGill University Health Centre, Universities Space Research Association, International Brain Research Organization, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Fonds de Recherche du Québec - Santé, Fonds de recherche du Québec – Nature et technologies
Openalex Percentile: Top 4%
Neural dynamics and brain function
5.14
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