Evidence map›Paper›PMID 35082302›Full record

ArticleNature communications2022

Hierarchical and nonhierarchical features of the mouse visual cortical network.

Rinaldo D D'Souza, Quanxin Wang, Weiqing Ji, Andrew M Meier, Henry Kennedy, Kenneth Knoblauch, Andreas Burkhalter

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Synergistic Geniculate and Cortical Dynamics Facilitate a Decorrelated Spatial Frequency Code in the Early Visual System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

7 authors.

Rinaldo D D'SouzaDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Quanxin WangDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Weiqing JiDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Andrew M MeierDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Henry KennedyStem Cell and Brain Research Institute, Université Lyon, Université Claude Bernard Lyon 1, INSERM, Bron, France.
Kenneth KnoblauchStem Cell and Brain Research Institute, Université Lyon, Université Claude Bernard Lyon 1, INSERM, Bron, France.ORCID http://orcid.org/0000-0002-4681-4638
Andreas BurkhalterDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA. burkhala@wustl.edu.ORCID http://orcid.org/0000-0002-5140-3657

Funding

PROCESSING STREAMS IN VISUAL CORTEXR01EY022090 · NEI · WASHINGTON UNIVERSITY · PI BURKHALTER, ANDREAS HANS · 2013 to 2017
$1.9M
ROLE OF MODULAR INHIBITORY NETWORK IN MOUSE VISUAL CORTEXR01EY027383 · NEI · WASHINGTON UNIVERSITY · PI BURKHALTER, ANDREAS HANS · 2017 to 2020
$1.5M
Formation of Cortical Areas and CircuitsR01EY016184 · NEI · WASHINGTON UNIVERSITY · PI BURKHALTER, ANDREAS HANS · 2006 to 2010
$1.5M
CORTICAL CIRCUITRY FOR TOP-DOWN SELECTION OF VISUAL INPUTSR01EY020523 · NEI · WASHINGTON UNIVERSITY · PI BURKHALTER, ANDREAS HANS · 2010 to 2013
$1.5M
NEI NIH HHS R01 EY016184NEI NIH HHS R01 EY020523NEI NIH HHS R01 EY022090NEI NIH HHS R01 EY027383
6 · The paper itself

Abstract

Neocortical computations underlying vision are performed by a distributed network of functionally specialized areas. Mouse visual cortex, a dense interareal network that exhibits hierarchical properties, comprises subnetworks interconnecting distinct processing streams. To determine the layout of the mouse visual hierarchy, we have evaluated the laminar patterns formed by interareal axonal projections originating in each of ten areas. Reciprocally connected pairs of areas exhibit feedforward/feedback relationships consistent with a hierarchical organization. Beta regression analyses, which estimate a continuous hierarchical distance measure, indicate that the network comprises multiple nonhierarchical circuits embedded in a hierarchical organization of overlapping levels. Single-unit recordings in anaesthetized mice show that receptive field sizes are generally consistent with the hierarchy, with the ventral stream exhibiting a stricter hierarchy than the dorsal stream. Together, the results provide an anatomical metric for hierarchical distance, and reveal both hierarchical and nonhierarchical motifs in mouse visual cortex.

Indexed as

AnimalsComputational BiologyFemaleMaleMiceMice, Inbred C57BLVisual CortexVisual Pathways

Identifiers

PMID35082302
PMCPMC8791996

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.