Evidence map›Paper›PMID 31815941›Full record

ArticlePLoS computational biology2019

Stability of spontaneous, correlated activity in mouse auditory cortex.

Richard F Betzel, Katherine C Wood, Christopher Angeloni, Maria Neimark Geffen, Danielle S Bassett

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

20 citing papers in PubMed, 41 citations in OpenAlex.

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  5. Network Mechanisms Underlying the Regional Diversity of Variance and Time Scales of the Brain's Spontaneous Activity Fluctuations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  7. Hierarchical communities in the larvalProceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Richard F BetzelDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Katherine C WoodDepartment of Otorhinolaryngology: HNS, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-5520-5025
Christopher AngeloniDepartment of Otorhinolaryngology: HNS, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Maria Neimark GeffenDepartment of Otorhinolaryngology: HNS, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Danielle S BassettDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-6183-4493
University of Pennsylvania · USIndiana University Bloomington · USSanta Fe Institute · US

Funding

Linguistic and NonLinguistic Functions of Frontal CortexR01DC009209 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI THOMPSONSCHILL, SHARON L · 2008 to 2018
$5.2M
Circuit Mechanisms of Sound Processing and Detection in the Auditory PathwayR01DC014479 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI GEFFEN, MARIA NEIMARK · 2015 to 2024
$4.7M
Neuronal circuits supporting learning-driven changes in auditory perception.R01DC015527 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI Maria Neimark Geffen · 2017 to 2026
$4.5M
Neuronal circuits for context-driven bias in auditory categorizationR01NS113241 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI COHEN, YALE E, GEFFEN, MARIA NEIMARK · 2019 to 2023
$3.5M
Longitudinal multi-modal neuroimaging of irritability in youthR01MH107703 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SATTERTHWAITE, THEODORE · 2015 to 2018
$2.6M
Virtual Resection to Treat EpilepsyR01NS099348 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2016 to 2019
$2.3M
Brain Network Mechanisms of Instructed LearningR01MH109520 · NIMH · RUTGERS THE STATE UNIV OF NJ NEWARK · PI COLE, MICHAEL WILLIAM · 2016 to 2020
$2.0M
Multimodal brain maturation indices modulating psychopathology and neurocognitionR01MH107235 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RUBEN C. · 2015 to 2017
$1.5M
Evolution of the Linked Architecture of Network Control and Executive Function in AdolescenceR21MH106799 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, SATTERTHWAITE, THEODORE · 2016 to 2017
$515k
CRCNS: US-France Modeling & Predicting BCI Learning from Dynamic NetworksR01HD086888 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH · 2015 to 2018
$506k
NICHD NIH HHS R01 HD086888NIDCD NIH HHS R01 DC009209NIDCD NIH HHS R01 DC014479NIDCD NIH HHS R01 DC015527NIMH NIH HHS R01 MH107235NIMH NIH HHS R01 MH107703NIMH NIH HHS R01 MH109520NIMH NIH HHS R21 MH106799NINDS NIH HHS R01 NS099348NINDS NIH HHS R01 NS113241
6 · The paper itself

Abstract

Neural systems can be modeled as complex networks in which neural elements are represented as nodes linked to one another through structural or functional connections. The resulting network can be analyzed using mathematical tools from network science and graph theory to quantify the system's topological organization and to better understand its function. Here, we used two-photon calcium imaging to record spontaneous activity from the same set of cells in mouse auditory cortex over the course of several weeks. We reconstruct functional networks in which cells are linked to one another by edges weighted according to the correlation of their fluorescence traces. We show that the networks exhibit modular structure across multiple topological scales and that these multi-scale modules unfold as part of a hierarchy. We also show that, on average, network architecture becomes increasingly dissimilar over time, with similarity decaying monotonically with the distance (in time) between sessions. Finally, we show that a small fraction of cells maintain strongly-correlated activity over multiple days, forming a stable temporal core surrounded by a fluctuating and variable periphery. Our work indicates a framework for studying spontaneous activity measured by two-photon calcium imaging using computational methods and graphical models from network science. The methods are flexible and easily extended to additional datasets, opening the possibility of studying cellular level network organization of neural systems and how that organization is modulated by stimuli or altered in models of disease.

Indexed as

Models, NeurologicalAnimalsAuditory CortexCalcium SignalingCell TrackingComputational BiologyFemaleMaleMiceMice, Inbred StrainsMicroscopy, Fluorescence, MultiphotonNerve Net

Identifiers

PMID31815941
PMCPMC6968873
OpenAlexW2994534646

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.