Evidence map›Paper›PMID 37945642›Full record

ArticleScientific reports2023

Laminar compartmentalization of attention modulation in area V4 aligns with the demands of visual processing hierarchy in the cortex.

Xiang Wang, Anirvan S Nandy, Monika P Jadi

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Xiang WangInterdepartmental Neuroscience Program, Yale University, New Haven, CT, 06511, USA.
Anirvan S NandyInterdepartmental Neuroscience Program, Yale University, New Haven, CT, 06511, USA.
Monika P JadiInterdepartmental Neuroscience Program, Yale University, New Haven, CT, 06511, USA. monika.jadi@yale.edu.

Funding

Yale Core Grant for Vision ResearchP30EY026878 · NEI · YALE UNIVERSITY · PI In-Jung Kim · 2016 to 2026
$7.1M
Discovering brain state dependent dynamics in large scale perceptual ensembles.R01EY034605 · NEI · YALE UNIVERSITY · PI Monika P. Jadi · 2023 to 2026
$2.0M
Cholinergic Modulation of Cortical Visual ProcessingR00EY025026 · NEI · YALE UNIVERSITY · PI JADI, MONIKA P. · 2017 to 2019
$747k
Cholinergic modulation of cortical visual processingK99EY025026 · NEI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI JADI, MONIKA P. · 2015 to 2016
$189k
NEI NIH HHS K99 EY025026NEI NIH HHS P30 EY026878NEI NIH HHS R00 EY025026NEI NIH HHS R01 EY034605
6 · The paper itself

Abstract

Attention selectively enhances neural responses to low contrast stimuli in visual area V4, a critical hub that sends projections both up and down the visual hierarchy. Veridical encoding of contrast information is a key computation in early visual areas, while later stages encoding higher level features benefit from improved sensitivity to low contrast. How area V4 meets these distinct information processing demands in the attentive state is unknown. We found that attentional modulation in V4 is cortical layer and cell-class specific. Putative excitatory neurons in the superficial layers show enhanced boosting of low contrast information, while those of deep layers exhibit contrast-independent scaling. Computational modeling suggested the extent of spatial integration of inhibitory neurons as the mechanism behind such laminar differences. Considering that superficial neurons are known to project to higher areas and deep layers to early visual areas, our findings suggest that the interactions between attention and contrast in V4 are compartmentalized, in alignment with the demands of the visual processing hierarchy.

Indexed as

Visual CortexVisual PerceptionAttentionNeurons

Identifiers

PMID37945642
PMCPMC10636153

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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.