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Unraveling the multiscale structural organization and connectivity of the human brain: the role of diffusion MRI

Overview of attention for article published in Frontiers in Neuroanatomy, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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1 blog
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Citations

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29 Dimensions

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109 Mendeley
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Title
Unraveling the multiscale structural organization and connectivity of the human brain: the role of diffusion MRI
Published in
Frontiers in Neuroanatomy, June 2015
DOI 10.3389/fnana.2015.00077
Pubmed ID
Authors

Matteo Bastiani, Alard Roebroeck

Abstract

The structural architecture and the anatomical connectivity of the human brain show different organizational principles at distinct spatial scales. Histological staining and light microscopy techniques have been widely used in classical neuroanatomical studies to unravel brain organization. Using such techniques is a laborious task performed on 2-dimensional histological sections by skilled anatomists possibly aided by semi-automated algorithms. With the recent advent of modern magnetic resonance imaging (MRI) contrast mechanisms, cortical layers and columns can now be reliably identified and their structural properties quantified post-mortem. These developments are allowing the investigation of neuroanatomical features of the brain at a spatial resolution that could be interfaced with that of histology. Diffusion MRI and tractography techniques, in particular, have been used to probe the architecture of both white and gray matter in three dimensions. Combined with mathematical network analysis, these techniques are increasingly influential in the investigation of the macro-, meso-, and microscopic organization of brain connectivity and anatomy, both in vivo and ex vivo. Diffusion MRI-based techniques in combination with histology approaches can therefore support the endeavor of creating multimodal atlases that take into account the different spatial scales or levels on which the brain is organized. The aim of this review is to illustrate and discuss the structural architecture and the anatomical connectivity of the human brain at different spatial scales and how recently developed diffusion MRI techniques can help investigate these.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 <1%
Canada 1 <1%
Unknown 105 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Researcher 17 16%
Student > Master 15 14%
Professor 7 6%
Professor > Associate Professor 6 6%
Other 19 17%
Unknown 21 19%
Readers by discipline Count As %
Neuroscience 24 22%
Medicine and Dentistry 14 13%
Engineering 13 12%
Agricultural and Biological Sciences 8 7%
Psychology 8 7%
Other 14 13%
Unknown 28 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 March 2016.
All research outputs
#3,055,101
of 22,807,037 outputs
Outputs from Frontiers in Neuroanatomy
#230
of 1,159 outputs
Outputs of similar age
#41,174
of 266,438 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#8
of 42 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,159 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 80% of its peers.
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 266,438 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.