↓ Skip to main content

Mapping somatosensory connectivity in adult mice using diffusion MRI tractography and super-resolution track density imaging

Overview of attention for article published in NeuroImage, August 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
52 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mapping somatosensory connectivity in adult mice using diffusion MRI tractography and super-resolution track density imaging
Published in
NeuroImage, August 2014
DOI 10.1016/j.neuroimage.2014.07.048
Pubmed ID
Authors

Kay Richards, Fernando Calamante, Jacques-Donald Tournier, Nyoman D. Kurniawan, Farnoosh Sadeghian, Alexander R. Retchford, Gabriel Davis Jones, Christopher A. Reid, David C. Reutens, Roger Ordidge, Alan Connelly, Steven Petrou

Abstract

In this study we combined ultra-high field diffusion MRI fibre tracking and super-resolution track density imaging (TDI) to map the relay locations and connectivity of the somatosensory pathway in paraformaldehyde fixed, C57Bl/6J mouse brains. Super-resolution TDI was used to achieve 20μm isotropic resolution to inform the 3D topography of the relay locations including thalamic barreloids and brainstem barrelettes, not described previously using MRI methodology. TDI-guided mapping results for thalamo-cortical connectivity were consistent with thalamo-cortical projections labelled using virus mediated fluorescent protein expression. Trigemino-thalamic TDI connectivity maps were concordant with results obtained using anterograde dye tracing from brainstem to thalamus. Importantly, TDI mapping overcame the constraint of tissue distortion observed in mechanically sectioned tissue, enabling 3D reconstruction and long-range connectivity data. In conclusion, our results showed diffusion micro-imaging at ultra-high field MRI revealed the stereotypical pattern of somatosensory connectivity and is a valuable tool to complement histologic methods, achieving 3D spatial preservation of whole brain networks for characterization in mouse models of human disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 31%
Student > Ph. D. Student 9 17%
Student > Master 7 13%
Student > Postgraduate 3 6%
Professor 3 6%
Other 6 12%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 23%
Medicine and Dentistry 12 23%
Engineering 6 12%
Neuroscience 6 12%
Computer Science 2 4%
Other 3 6%
Unknown 11 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2014.
All research outputs
#15,739,529
of 25,373,627 outputs
Outputs from NeuroImage
#8,889
of 12,204 outputs
Outputs of similar age
#125,230
of 240,206 outputs
Outputs of similar age from NeuroImage
#87
of 141 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,204 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 240,206 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.