Evidence map›Paper›PMID 38982078›Full record

ArticleNature communications2024

Stimulus type shapes the topology of cellular functional networks in mouse visual cortex.

Disheng Tang, Joel Zylberberg, Xiaoxuan Jia, Hannah Choi

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Disheng TangSchool of Life Sciences, Tsinghua University, Beijing, 100084, PR China. dishengtang3@gmail.com.ORCID 0000-0001-8325-4644
Joel Zylberberg *Department of Physics and Astronomy, and Centre for Vision Research, York University, Toronto, ON M3J 1P3, ON, Canada. joelzy@yorku.ca.ORCID 0000-0002-8208-5698
Xiaoxuan Jia *School of Life Sciences, Tsinghua University, Beijing, 100084, PR China. jxiaoxuan@gmail.com.
Hannah Choi *Quantitative Biosciences Program, Georgia Institute of Technology, Atlanta, 30332, GA, USA. hannahch@gatech.edu.ORCID 0000-0002-8192-1121

Funding

Bridging structure, dynamics, and information processing in brain networksR00EY030840 · NEI · GEORGIA INSTITUTE OF TECHNOLOGY · PI CHOI, HANNAH · 2021 to 2023
$710k
Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) RGPIN-2019-06379National Natural Science Foundation of China (National Science Foundation of China) 92370116NEI NIH HHS R00 EY030840U.S. Department of Health & Human Services | NIH | National Eye Institute (NEI) R00EY030840
6 · The paper itself

Abstract

On the timescale of sensory processing, neuronal networks have relatively fixed anatomical connectivity, while functional interactions between neurons can vary depending on the ongoing activity of the neurons within the network. We thus hypothesized that different types of stimuli could lead those networks to display stimulus-dependent functional connectivity patterns. To test this hypothesis, we analyzed single-cell resolution electrophysiological data from the Allen Institute, with simultaneous recordings of stimulus-evoked activity from neurons across 6 different regions of mouse visual cortex. Comparing the functional connectivity patterns during different stimulus types, we made several nontrivial observations: (1) while the frequencies of different functional motifs were preserved across stimuli, the identities of the neurons within those motifs changed; (2) the degree to which functional modules are contained within a single brain region increases with stimulus complexity. Altogether, our work reveals unexpected stimulus-dependence to the way groups of neurons interact to process incoming sensory information.

Indexed as

Nerve NetNeuronsPhotic StimulationVisual CortexAnimalsMaleMiceMice, Inbred C57BL

Identifiers

PMID38982078
PMCPMC11233648

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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.