Evidence map›Paper›PMID 28979189›Full record

ArticleFrontiers in cellular neuroscience2017

Uncorrelated Neural Firing in Mouse Visual Cortex during Spontaneous Retinal Waves.

Matthew T Colonnese, Jing Shen, Yasunobu Murata

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Experience Dependence of Alpha Rhythms and Neural Dynamics in the Mouse Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  3. Neuronal Coupling Modes Show Differential Development in the Early Cortical Activity Networks of Human Newborns.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Thalamus Controls Development and Expression of Arousal States in Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  10. Thalamocortical function in developing sensory circuits.Current opinion in neurobiology · 2018
    Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Matthew T ColonneseDepartment of Pharmacology and Physiology, Institute for Neuroscience, The George Washington UniversityWashington, DC, United States.
Jing ShenDepartment of Pharmacology and Physiology, Institute for Neuroscience, The George Washington UniversityWashington, DC, United States.
Yasunobu MurataDepartment of Pharmacology and Physiology, Institute for Neuroscience, The George Washington UniversityWashington, DC, United States.
George Washington University · US

Funding

Emergence of Visual Alertness in Cortical NetworksR01EY022730 · NEI · GEORGE WASHINGTON UNIVERSITY · PI Matthew Todd Colonnese · 2013 to 2026
$6.1M
Research_ProjectU54HD090257 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2016 to 2020
$5.9M
NEI NIH HHS R01 EY022730NICHD NIH HHS U54 HD090257
6 · The paper itself

Abstract

Synchronous firing among the elements of forming circuits is critical for stabilization of synapses. Understanding the nature of these local network interactions during development can inform models of circuit formation. Within cortex, spontaneous activity changes throughout development. Unlike the adult, early spontaneous activity occurs in discontinuous population bursts separated by long silent periods, suggesting a high degree of local synchrony. However, whether the micro-patterning of activity within early bursts is unique to this early age and specifically tuned for early development is poorly understood, particularly within the column. To study this we used single-shank multi-electrode array recordings of spontaneous activity in the visual cortex of non-anesthetized neonatal mice to quantify single-unit firing rates, and applied multiple measures of network interaction and synchrony throughout the period of map formation and immediately after eye-opening. We find that despite co-modulation of firing rates on a slow time scale (hundreds of ms), the number of coactive neurons, as well as pair-wise neural spike-rate correlations, are both lower before eye-opening. In fact, on post-natal days (P)6-9 correlated activity was lower than expected by chance, suggesting active decorrelation of activity during early bursts. Neurons in lateral geniculate nucleus developed in an opposite manner, becoming less correlated after eye-opening. Population coupling, a measure of integration in the local network, revealed a population of neurons with particularly strong local coupling present at P6-11, but also an adult-like diversity of coupling at all ages, suggesting that a neuron's identity as locally or distally coupled is determined early. The occurrence probabilities of unique neuronal "words" were largely similar at all ages suggesting that retinal waves drive adult-like patterns of co-activation. These findings suggest that the bursts of spontaneous activity during early visual development do not drive hyper-synchronous activity within columns. Rather, retinal waves provide windows of potential activation during which neurons are active but poorly correlated, adult-like patterns of correlation are achieved soon after eye-opening.

Indexed as

developmentoscillationretinal wavespindle-burstspontaneous activitysynchronizationvisual cortex

Identifiers

PMID28979189
PMCPMC5611364
OpenAlexW2754735233

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.