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Simultaneous interneuron labeling reveals population-level interactions among parvalbumin, somatostatin, and pyramidal neurons in cortex

Potter, C. T., Bassi, C. D., Runyan, C. A.

biorxiv · 2024

Abstract

Cortical interneurons shape network activity in cell type-specific ways, and are also influenced by interactions with other cell types. These specific cell-type interactions are understudied, as transgenic labeling methods typically restrict labeling to one neuron type at a time. Although recent methods have enabled post-hoc identification of cell types, these are not available to many labs. Here, we present a method to distinguish between two red fluorophores in vivo, which allowed imaging of activity in somatostatin (SOM), parvalbumin (PV), and putative pyramidal neurons (PYR) in mouse association cortex. We compared population events of elevated activity and observed that the PYR network state corresponded to the ratio between mean SOM and PV neuron activity, demonstrating the importance of simultaneous labeling to explain dynamics. These results extend previous findings in sensory cortex, as activity became sparser and less correlated when the ratio between SOM and PV activity was high.

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Provenance

Source
bioRxiv
DOI
10.1101/2023.01.09.523298
Canonical
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Fetched
2026-05-31 MST

Cite this

APA
T., P.C., D., B.C., &amp; A., R.C. (2024). Simultaneous interneuron labeling reveals population-level interactions among parvalbumin, somatostatin, and pyramidal neurons in cortex. <em>biorxiv</em>. https://doi.org/10.1101/2023.01.09.523298
Vancouver
T. PC, D. BC, A. RC. Simultaneous interneuron labeling reveals population-level interactions among parvalbumin, somatostatin, and pyramidal neurons in cortex. biorxiv. 2024. doi:10.1101/2023.01.09.523298.
BibTeX
@unpublished{potter2024Simult, title = {Simultaneous interneuron labeling reveals population-level interactions among parvalbumin, somatostatin, and pyramidal neurons in cortex}, author = {Potter, C. T. and Bassi, C. D. and Runyan, C. A.}, journal = {biorxiv}, year = {2024}, doi = {10.1101/2023.01.09.523298}, }

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