Evidence map›Paper›PMID 30865879›Full record

ArticleCell reports2019

Cortical State Fluctuations across Layers of V1 during Visual Spatial Perception.

Anderson Speed, Joseph Del Rosario, Christopher P Burgess, Bilal Haider

Abstract read
In one paragraph

Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  7. Integration of Visual Motion Signals in Reduced Visual Conditions.Investigative ophthalmology & visual science · 2025
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  14. Electrophysiological Signatures of Visual Recognition Memory across All Layers of Mouse V1.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
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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

4 authors.

Anderson SpeedBiomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
Joseph Del RosarioBiomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
Christopher P BurgessUniversity College London, Gower Street, London WC1E 6BT, UK.
Bilal HaiderBiomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA. Electronic address: bilal.haider@bme.gatech.edu.

Funding

Circuit and Synaptic Mechanisms of Visual Spatial AttentionR01NS109978 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI HAIDER, BILAL · 2018 to 2022
$2.3M
Directly measuring synaptic and population coupling in cortex during perceptionR01NS107968 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI HAIDER, BILAL · 2018 to 2022
$2.1M
NINDS NIH HHS R01 NS107968NINDS NIH HHS R01 NS109978Wellcome Trust 095668Wellcome Trust 095669
6 · The paper itself

Abstract

Many factors modulate the state of cortical activity, but the importance of cortical state variability for sensory perception remains debated. We trained mice to detect spatially localized visual stimuli and simultaneously measured local field potentials and excitatory and inhibitory neuron populations across layers of primary visual cortex (V1). Cortical states with low spontaneous firing and correlations in excitatory neurons, and suppression of 3- to 7-Hz oscillations in layer 4, accurately predicted single-trial visual detection. Our results show that cortical states exert strong effects at the initial stage of cortical processing in V1 and can play a prominent role for visual spatial behavior in mice.

Indexed as

Space PerceptionAnimalsGamma RhythmMaleMiceMice, Inbred C57BLNeuronsVisual Cortexcorrelationsinhibitory neuronsmouse behavioroscillationsvisual cortex

Identifiers

PMID30865879
PMCPMC7334870

What OpenQuestion holds

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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.