Evidence map›Paper›PMID 34637748›Full record

ArticleCurrent biology : CB2021

Distinct recruitment of feedforward and recurrent pathways across higher-order areas of mouse visual cortex.

Jennifer Y Li, Charles A Hass, Ian Matthews, Amy C Kristl, Lindsey L Glickfeld

Abstract read
In one paragraph

Article in Current biology : CB, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Highly selective visual receptive fields in mouse frontal cortex.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

5 authors.

Jennifer Y LiDepartment of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA.
Charles A HassDepartment of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA.
Ian MatthewsDepartment of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA.
Amy C KristlDepartment of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA.
Lindsey L GlickfeldDepartment of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA. Electronic address: glickfeld@neuro.duke.edu.

Funding

Context-dependent changes in local and long-range cortical circuitsDP2EY025439 · NEI · DUKE UNIVERSITY · PI GLICKFELD, LINDSEY L · 2014 to 2014
$2.4M
Mechanisms and plasticity of history-dependent processing in the visual cortexR01EY031328 · NEI · DUKE UNIVERSITY · PI GLICKFELD, LINDSEY L · 2020 to 2023
$1.7M
Mechanisms underlying rapid adaptation in mouse visual cortexF31EY031941 · NEI · DUKE UNIVERSITY · PI LI, JENNIFER YING · 2020 to 2022
$113k
NEI NIH HHS DP2 EY025439NEI NIH HHS F31 EY031941NEI NIH HHS R01 EY031328
6 · The paper itself

Abstract

Cortical visual processing transforms features of the external world into increasingly complex and specialized neuronal representations. These transformations arise in part through target-specific routing of information; however, within-area computations may also contribute to area-specific function. Here, we sought to determine whether higher order visual cortical areas lateromedial (LM), anterolateral (AL), posteromedial (PM), and anteromedial (AM) have specialized anatomical and physiological properties by using a combination of whole-cell recordings and optogenetic stimulation of primary visual cortex (V1) axons in vitro. We discovered area-specific differences in the strength of recruitment of interneurons through feedforward and recurrent pathways, as well as differences in cell-intrinsic properties and interneuron densities. These differences were most striking when comparing across medial and lateral areas, suggesting that these areas have distinct profiles for net excitability and integration of V1 inputs. Thus, cortical areas are not defined simply by the information they receive but also by area-specific circuit properties that enable specialized filtering of these inputs.

Indexed as

Visual CortexAnimalsAxonsInterneuronsMiceNeuronsVisual PathwaysVisual Perceptioncircuitconnectivityelectrophysiologyexcitationhierarchical processinginhibitionparvalbuminsomatostatinsynaptic transmission

Identifiers

PMID34637748
PMCPMC8612995

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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.