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A Tool for Brain-Wide Quantitative Analysis of Molecular Data upon Projection into a Planar View of Choice

Overview of attention for article published in Frontiers in Neuroanatomy, January 2017
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Title
A Tool for Brain-Wide Quantitative Analysis of Molecular Data upon Projection into a Planar View of Choice
Published in
Frontiers in Neuroanatomy, January 2017
DOI 10.3389/fnana.2017.00001
Pubmed ID
Authors

Samme Vreysen, Isabelle Scheyltjens, Marie-Eve Laramée, Lutgarde Arckens

Abstract

Several techniques, allowing the reconstruction and visualization of functional, anatomical or molecular information from tissue and organ slices, have been developed over the years. Yet none allow direct comparison without reprocessing the same slices. Alternative methods using publicly available reference maps like the Allen Brain Atlas lack flexibility with respect to age and species. We propose a new approach to reconstruct a segmented region of interest from serial slices by projecting the optical density values representing a given molecular signal to a plane of view of choice, and to generalize the results into a reference map, which is built from the individual maps of all animals under study. Furthermore, to allow quantitative comparison between experimental conditions, a non-parametric pseudo t-test has been implemented. This new mapping tool was applied, optimized and validated making use of an in situ hybridization dataset that represents the spatiotemporal expression changes for the neuronal activity reporter gene zif268, in relation to cortical plasticity induced by monocular enucleation, covering the entire mouse visual cortex. The created top view maps of the mouse brain allow precisely delineating and interpreting 11 extrastriate areas surrounding mouse V1. As such, and because of the opportunity to create a planar projection of choice, these molecular maps can in the future easily be compared with functional or physiological imaging maps created with other techniques such as Ca(2+), flavoprotein and optical imaging.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Researcher 5 25%
Student > Bachelor 3 15%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 3 15%
Readers by discipline Count As %
Neuroscience 4 20%
Agricultural and Biological Sciences 4 20%
Biochemistry, Genetics and Molecular Biology 2 10%
Engineering 2 10%
Computer Science 1 5%
Other 4 20%
Unknown 3 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 January 2017.
All research outputs
#20,390,619
of 22,940,083 outputs
Outputs from Frontiers in Neuroanatomy
#1,011
of 1,165 outputs
Outputs of similar age
#353,925
of 418,156 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#19
of 23 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,165 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.