Evidence map›Paper›PMID 36732934›Full record

ArticleThe European journal of neuroscience2023

Dynamic attention signalling in V4: Relation to fast-spiking/non-fast-spiking cell class and population coupling.

Elizabeth M Sachse, Adam C Snyder

Abstract read
In one paragraph

Article in The European journal of neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Neural Dynamics in Extrastriate Cortex Underlying False Alarms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    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

2 authors.

Elizabeth M SachsePsychiatry, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-1669-8752
Adam C SnyderBrain and Cognitive Sciences, University of Rochester, Rochester, New York, USA.ORCID 0000-0003-1794-035X

Funding

Virus Production and Manipulation of Protein/Gene Expression ModuleP30EY008098 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ethan A Rossi · 1989 to 2026
$17.8M
CORTICAL SUBSTRATES OF WORKING MEMORY FOR VISUAL MOTIONR01EY011749 · NEI · UNIVERSITY OF ROCHESTER · PI SNYDER, ADAM CHRISTOPHER · 1997 to 2019
$7.3M
Slow time scale fluctuations in neurons and behaviorR01MH128393 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI MATTHEW A SMITH · 2022 to 2026
$2.2M
Dynamic Mechanisms of active vision in prefrontal cortexR01EY022928 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMITH, MATTHEW A · 2014 to 2018
$1.9M
CRCNS: Modulating Neural Population Interactions between Cortical AreasR01MH118929 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI SMITH, MATTHEW A, YU, BYRON M. · 2018 to 2022
$1.7M
CRCNS: The neural basis of probabilistic inference in the visual systemR01EY028811 · NEI · UNIVERSITY OF ROCHESTER · PI HAEFNER, RALF MANFRED · 2017 to 2021
$1.6M
Neuronal population dynamics within and across cortical areasR01EB026953 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOIRON, BRENT D., SMITH, MATTHEW A · 2018 to 2020
$1.0M
CRCNS: Interhemispheric coordination for memory and actionR01NS147766 · NINDS · CARNEGIE-MELLON UNIVERSITY · PI Joseph Patrick Mayo, MATTHEW A SMITH · 2025 to 2026
$750k
High-dimensional analysis of selective visual attention mechanismsR00EY025768 · NEI · UNIVERSITY OF ROCHESTER · PI SNYDER, ADAM CHRISTOPHER · 2018 to 2020
$744k
Alfred P. Sloan Foundation Research FellowshipBrain and Behavior Research Foundation NARSAD Young InvestigatorNational Science Foundation NCS/BCS1954107/1734916NEI NIH HHS P30 EY008098NEI NIH HHS P30EY008098NEI NIH HHS R00 EY025768NEI NIH HHS R00EY025768NEI NIH HHS R01 EY011749NEI NIH HHS R01EY011749NEI NIH HHS R01 EY022928NEI NIH HHS R01EY022928NEI NIH HHS R01 EY028811NEI NIH HHS R01EY028811NIBIB NIH HHS R01 EB026953NIBIB NIH HHS R01EB026953NIMH NIH HHS R01 MH118929NIMH NIH HHS R01MH118929NIMH NIH HHS R01 MH128393NINDS NIH HHS R01 NS147766
6 · The paper itself

Abstract

The computational role of a neuron during attention depends on its firing properties, neurotransmitter expression and functional connectivity. Neurons in the visual cortical area V4 are reliably engaged by selective attention but exhibit diversity in the effect of attention on firing rates and correlated variability. It remains unclear what specific neuronal properties shape these attention effects. In this study, we quantitatively characterised the distribution of attention modulation of firing rates across populations of V4 neurons. Neurons exhibited a continuum of time-varying attention effects. At one end of the continuum, neurons' spontaneous firing rates were slightly depressed with attention (compared to when unattended), whereas their stimulus responses were enhanced with attention. The other end of the continuum showed the converse pattern: attention depressed stimulus responses but increased spontaneous activity. We tested whether the particular pattern of time-varying attention effects that a neuron exhibited was related to the shape of their actions potentials (so-called 'fast-spiking' [FS] neurons have been linked to inhibition) and the strength of their coupling to the overall population. We found an interdependence among neural attention effects, neuron type and population coupling. In particular, we found neurons for which attention enhanced spontaneous activity but suppressed stimulus responses were less likely to be fast-spiking (more likely to be non-fast-spiking) and tended to have stronger population coupling, compared to neurons with other types of attention effects. These results add important information to our understanding of visual attention circuits at the cellular level.

Indexed as

NeuronsSignal TransductionAction Potentialselectrophysiologyneural circuitsprimatevision

Identifiers

PMID36732934
PMCPMC11521100

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.