Evidence map›Paper›PMID 27669144›Full record

ArticleeLife2016

Recruitment of inhibition and excitation across mouse visual cortex depends on the hierarchy of interconnecting areas.

Rinaldo David D'Souza, Andrew Max Meier, Pawan Bista, Quanxin Wang, Andreas Burkhalter

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
  2. Input-dependent directionality of interactions between cortical areas.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Organizational Principles of the Primate Cerebral Cortex at the Single-Cell Level.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. Article
  8. Multi-scale spiking network model of human cerebral cortex.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Article
  9. Article
  10. A hierarchy index for networks in the brain reveals a complex entangled organizational structure.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

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.

Rinaldo David D'SouzaDepartment of Neuroscience, Washington University School of Medicine, St. Louis, United States.ORCID 0000-0001-9028-1990
Andrew Max MeierDepartment of Neuroscience, Washington University School of Medicine, St. Louis, United States.
Pawan BistaDepartment of Neuroscience, Washington University School of Medicine, St. Louis, United States.
Quanxin WangAllen Institute for Brain Science, Seattle, United States.
Andreas BurkhalterDepartment of Neuroscience, Washington University School of Medicine, St. Louis, United States.ORCID 0000-0002-5140-3657

Funding

Systems and Molecular Neurobiology Training ProgramT32GM008151 · NIGMS · WASHINGTON UNIVERSITY · PI SNYDER, LAWRENCE H · 1985 to 2019
$6.5M
PROCESSING STREAMS IN VISUAL CORTEXR01EY022090 · NEI · WASHINGTON UNIVERSITY · PI BURKHALTER, ANDREAS HANS · 2013 to 2017
$1.9M
Formation of Cortical Areas and CircuitsR01EY016184 · NEI · WASHINGTON UNIVERSITY · PI BURKHALTER, ANDREAS HANS · 2006 to 2010
$1.5M
NEI NIH HHS R01 EY016184NEI NIH HHS R01 EY022090NIGMS NIH HHS T32 GM008151
6 · The paper itself

Abstract

Diverse features of sensory stimuli are selectively processed in distinct brain areas. The relative recruitment of inhibitory and excitatory neurons within an area controls the gain of neurons for appropriate stimulus coding. We examined how such a balance of inhibition and excitation is differentially recruited across multiple levels of a cortical hierarchy by mapping the locations and strengths of synaptic inputs to pyramidal and parvalbumin (PV)-expressing neurons in feedforward and feedback pathways interconnecting primary (V1) and two higher visual areas. While interareal excitation was stronger in PV than in pyramidal neurons in all layer 2/3 pathways, we observed a gradual scaling down of the inhibition/excitation ratio from the most feedforward to the most feedback pathway. Our results indicate that interareal gain control depends on the hierarchical position of the source and the target, the direction of information flow through the network, and the laminar location of target neurons.

Indexed as

Neural InhibitionAnimalsMiceNeural PathwaysNeuronsVisual Cortexcircuit mappingextrastriate cortexmouseneuroscienceparvalbumin interneuronsvisual cortex

Identifiers

PMID27669144
PMCPMC5074802

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.