Evidence map›Paper›PMID 28389743›Full record

ArticleBrain structure & function2017

A biological blueprint for the axons of superficial layer pyramidal cells in cat primary visual cortex.

Kevan A C Martin, Stephan Roth, Elisha S Rusch

Open access · hybridAbstract read
In one paragraph

Article in Brain structure & function, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Clustered Intrinsic Connections: Not a Single System.Frontiers in systems neuroscience · 2022
    Article
  4. Article
  5. Article
  6. 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 at 1 institution in 1 country.

Kevan A C MartinInstitute of Neuroinformatics, UZH/ETH, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
Stephan RothInstitute of Neuroinformatics, UZH/ETH, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
Elisha S RuschInstitute of Neuroinformatics, UZH/ETH, Winterthurerstrasse 190, 8057, Zurich, Switzerland. elisha@ini.phys.ethz.ch.ORCID http://orcid.org/0000-0001-5772-6812
SIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pyramidal cells in the superficial layers of neocortex of higher mammals form a lateral network of axon clusters known as the 'daisy' network. The role of these axon clusters remains speculative and we still lack a comprehensive quantitative description of the single neurons forming the daisy or their heterogeneity. We filled intracellularly 50 superficial layer pyramidal neurons in the cat primary visual cortex and reconstructed the axonal tree and their synaptic boutons in 3D. Individual bouton clusters were identified using an objective mean-shift algorithm. By parameterizing the morphology of these 50 axonal trees and the 217 bouton clusters they formed, we were able to extract one set of relatively constant parameters and another set of variable parameters. Both sets combined allowed us to outline a comprehensive biological blueprint of superficial layer pyramidal neurons. Overall, our detailed analysis supports the hypothesis that pyramidal neurons use their lateral clusters to combine differential contextual cues, required for context-dependent processing of natural scenes.

Indexed as

Presynaptic TerminalsAnimalsCatsFemaleMaleNeuroanatomical Tract-Tracing TechniquesPyramidal CellsVisual CortexAxonsBouton clustersDistalInterbouton intervalLocalPyramidal neuronSuperficial layersTortuosityVisual cortex

Identifiers

PMID28389743
PMCPMC5676815
OpenAlexW2604820792

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.