Evidence map›Paper›PMID 26985044›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016

Cell Type-Specific Circuit Mapping Reveals the Presynaptic Connectivity of Developing Cortical Circuits.

Laura A Cocas, Gloria Fernandez, Mariya Barch, Jason Doll, Ivan Zamora Diaz, Samuel J Pleasure

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In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Laura A CocasDepartment of Neurology, University of California, San Francisco, San Francisco, California 94158.
Gloria FernandezDepartment of Neurology, University of California, San Francisco, San Francisco, California 94158.
Mariya BarchDepartment of Neurology, University of California, San Francisco, San Francisco, California 94158.
Jason DollDepartment of Neurology, University of California, San Francisco, San Francisco, California 94158.
Ivan Zamora DiazDepartment of Neurology, University of California, San Francisco, San Francisco, California 94158.
Samuel J PleasureDepartment of Neurology, University of California, San Francisco, San Francisco, California 94158 sam.pleasure@ucsf.edu.ORCID http://orcid.org/0000-0001-8599-1613

Funding

SDF1/CXCR4 Signaling and Tangential Neuronal Migration in the Developing CortexR01MH077694 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PLEASURE, SAMUEL JEREMY · 2007 to 2019
$5.0M
Defective Forebrain Development in Mutant MiceR01MH105360 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PLEASURE, SAMUEL JEREMY · 2014 to 2015
$790k
NIMH NIH HHS R01 MH077694NIMH NIH HHS R01 MH105360
6 · The paper itself

Abstract

The mammalian cerebral cortex is a dense network composed of local, subcortical, and intercortical synaptic connections. As a result, mapping cell type-specific neuronal connectivity in the cerebral cortex in vivo has long been a challenge for neurobiologists. In particular, the development of excitatory and inhibitory interneuron presynaptic input has been hard to capture. We set out to analyze the development of this connectivity in the first postnatal month using a murine model. First, we surveyed the connectivity of one of the earliest populations of neurons in the brain, the Cajal-Retzius (CR) cells in the neocortex, which are known to be critical for cortical layer formation and are hypothesized to be important in the establishment of early cortical networks. We found that CR cells receive inputs from deeper-layer excitatory neurons and inhibitory interneurons in the first postnatal week. We also found that both excitatory pyramidal neurons and inhibitory interneurons received broad inputs in the first postnatal week, including inputs from CR cells. Expanding our analysis into the more mature brain, we assessed the inputs onto inhibitory interneurons and excitatory projection neurons, labeling neuronal progenitors with Cre drivers to study discrete populations of neurons in older cortex, and found that excitatory cortical and subcortical inputs are refined by the fourth week of development, whereas local inhibitory inputs increase during this postnatal period. Cell type-specific circuit mapping is specific, reliable, and effective, and can be used on molecularly defined subtypes to determine connectivity in the cortex. SIGNIFICANCE STATEMENT: Mapping cortical connectivity in the developing mammalian brain has been an intractable problem, in part because it has not been possible to analyze connectivity with cell subtype precision. Our study systematically targets the presynaptic connections of discrete neuronal subtypes in both the mature and developing cerebral cortex. We analyzed the connections that Cajal-Retzius cells make and receive, and found that these cells receive inputs from deeper-layer excitatory neurons and inhibitory interneurons in the first postnatal week. We assessed the inputs onto inhibitory interneurons and excitatory projection neurons, the major two types of neurons in the cortex, and found that excitatory inputs are refined by the fourth week of development, whereas local inhibitory inputs increase during this postnatal period.

Indexed as

Age FactorsAnimalsAnimals, NewbornBrain MappingCerebral CortexEmbryo, MammalianFemaleInterneuronsLuminescent ProteinsMaleMiceMice, TransgenicNerve NetNerve Tissue ProteinsNeuronsOrganogenesisLuminescent ProteinsNerve Tissue ProteinsViral Envelope ProteinsCajal-Retzius cellscerebral cortexcircuit developmentinterneuronsneuronal connectivityviral circuit tracing

Identifiers

PMID26985044
PMCPMC4792945

What OpenQuestion holds

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Registered trials

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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.