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Stimulus-dependent functional network topology in mouse visual cortex
Information is processed by networks of neurons in the brain. On the timescale of sensory processing, those neuronal networks have relatively fixed anatomical connectivity, while functional connectivity, which defines the interactions between neurons, can vary depending on the ongoing activity of th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349950/ https://www.ncbi.nlm.nih.gov/pubmed/37461471 http://dx.doi.org/10.1101/2023.07.03.547364 |
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author | Tang, Disheng Zylberberg, Joel Jia, Xiaoxuan Choi, Hannah |
author_facet | Tang, Disheng Zylberberg, Joel Jia, Xiaoxuan Choi, Hannah |
author_sort | Tang, Disheng |
collection | PubMed |
description | Information is processed by networks of neurons in the brain. On the timescale of sensory processing, those neuronal networks have relatively fixed anatomical connectivity, while functional connectivity, which defines the interactions between neurons, can vary depending on the ongoing activity of the neurons within the network. We thus hypothesized that different types of stimuli, which drive different neuronal activities in the network, could lead those networks to display stimulus-dependent functional connectivity patterns. To test this hypothesis, we analyzed electrophysiological data from the Allen Brain Observatory, which utilized Neuropixels probes to simultaneously record stimulus-evoked activity from hundreds of neurons across 6 different regions of mouse visual cortex. The recordings had single-cell resolution and high temporal fidelity, enabling us to determine fine-scale functional connectivity. Comparing the functional connectivity patterns observed when different stimuli were presented to the mice, we made several nontrivial observations. First, while the frequencies of different connectivity motifs (i.e., the patterns of connectivity between triplets of neurons) were preserved across stimuli, the identities of the neurons within those motifs changed. This means that functional connectivity dynamically changes along with the input stimulus, but does so in a way that preserves the motif frequencies. Secondly, we found that the degree to which functional modules are contained within a single brain region (as opposed to being distributed between regions) increases with increasing stimulus complexity. This suggests a mechanism for how the brain could dynamically alter its computations based on its inputs. Altogether, our work reveals unexpected stimulus-dependence to the way groups of neurons interact to process incoming sensory information. |
format | Online Article Text |
id | pubmed-10349950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-103499502023-07-17 Stimulus-dependent functional network topology in mouse visual cortex Tang, Disheng Zylberberg, Joel Jia, Xiaoxuan Choi, Hannah bioRxiv Article Information is processed by networks of neurons in the brain. On the timescale of sensory processing, those neuronal networks have relatively fixed anatomical connectivity, while functional connectivity, which defines the interactions between neurons, can vary depending on the ongoing activity of the neurons within the network. We thus hypothesized that different types of stimuli, which drive different neuronal activities in the network, could lead those networks to display stimulus-dependent functional connectivity patterns. To test this hypothesis, we analyzed electrophysiological data from the Allen Brain Observatory, which utilized Neuropixels probes to simultaneously record stimulus-evoked activity from hundreds of neurons across 6 different regions of mouse visual cortex. The recordings had single-cell resolution and high temporal fidelity, enabling us to determine fine-scale functional connectivity. Comparing the functional connectivity patterns observed when different stimuli were presented to the mice, we made several nontrivial observations. First, while the frequencies of different connectivity motifs (i.e., the patterns of connectivity between triplets of neurons) were preserved across stimuli, the identities of the neurons within those motifs changed. This means that functional connectivity dynamically changes along with the input stimulus, but does so in a way that preserves the motif frequencies. Secondly, we found that the degree to which functional modules are contained within a single brain region (as opposed to being distributed between regions) increases with increasing stimulus complexity. This suggests a mechanism for how the brain could dynamically alter its computations based on its inputs. Altogether, our work reveals unexpected stimulus-dependence to the way groups of neurons interact to process incoming sensory information. Cold Spring Harbor Laboratory 2023-07-03 /pmc/articles/PMC10349950/ /pubmed/37461471 http://dx.doi.org/10.1101/2023.07.03.547364 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Tang, Disheng Zylberberg, Joel Jia, Xiaoxuan Choi, Hannah Stimulus-dependent functional network topology in mouse visual cortex |
title | Stimulus-dependent functional network topology in mouse visual cortex |
title_full | Stimulus-dependent functional network topology in mouse visual cortex |
title_fullStr | Stimulus-dependent functional network topology in mouse visual cortex |
title_full_unstemmed | Stimulus-dependent functional network topology in mouse visual cortex |
title_short | Stimulus-dependent functional network topology in mouse visual cortex |
title_sort | stimulus-dependent functional network topology in mouse visual cortex |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349950/ https://www.ncbi.nlm.nih.gov/pubmed/37461471 http://dx.doi.org/10.1101/2023.07.03.547364 |
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