Evidence map›Paper›PMID 29420935›Full record

ArticleNeuron2018

The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles.

Răzvan Gămănuţ, Henry Kennedy, Zoltán Toroczkai, Mária Ercsey-Ravasz, David C Van Essen, Kenneth Knoblauch, Andreas Burkhalter

Abstract read
In one paragraph

Article in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing 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

116 citing papers in PubMed.

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56 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

7 authors.

Răzvan GămănuţUniversité Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, 69500 Bron, France.
Henry KennedyUniversité Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, 69500 Bron, France; Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences (CAS) Key Laboratory of Primate Neurobiology, CAS, Shanghai 200031, China. Electronic address: henry.kennedy@inserm.fr.
Zoltán ToroczkaiInterdisciplinary Center for Network Science and Applications, Department of Physics, University of Notre Dame, Notre Dame, IN 46556, USA.
Mária Ercsey-RavaszFaculty of Physics, Babeş-Bolyai University, 400084 Cluj-Napoca, Romania; Romanian Institute of Science and Technology, 400487 Cluj-Napoca, Romania.
David C Van EssenDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110-1093, USA.
Kenneth KnoblauchUniversité Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, 69500 Bron, France.
Andreas BurkhalterDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110-1093, USA. Electronic address: burkhala@wustl.edu.

Funding

RECONSTRUCTIONS AND REPRESENTATIONS OF CEREBRAL CORTEXR01MH060974 · NIMH · WASHINGTON UNIVERSITY · PI VAN ESSEN, DAVID C · 1999 to 2024
$12.7M
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
NEI NIH HHS R01 EY022090NEI NIH HHS R01 EY027383NIMH NIH HHS R01 MH060974
6 · The paper itself

Abstract

The inter-areal wiring pattern of the mouse cerebral cortex was analyzed in relation to a refined parcellation of cortical areas. Twenty-seven retrograde tracer injections were made in 19 areas of a 47-area parcellation of the mouse neocortex. Flat mounts of the cortex and multiple histological markers enabled detailed counts of labeled neurons in individual areas. The observed log-normal distribution of connection weights to each cortical area spans 5 orders of magnitude and reveals a distinct connectivity profile for each area, analogous to that observed in macaques. The cortical network has a density of 97%, considerably higher than the 66% density reported in macaques. A weighted graph analysis reveals a similar global efficiency but weaker spatial clustering compared with that reported in macaques. The consistency, precision of the connectivity profile, density, and weighted graph analysis of the present data differ significantly from those obtained in earlier studies in the mouse.

Indexed as

Models, NeurologicalAnimalsConnectomeFemaleMacacaMaleNeocortexNeural PathwaysNeuroanatomical Tract-Tracing TechniquesSpecies Specificityanatomyconnectivitylog-normalneocortexretrograderodenttract-tracing

Identifiers

PMID29420935
PMCPMC5958229

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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.