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Systematic network lesioning reveals the core white matter scaffold of the human brain

Overview of attention for article published in Frontiers in Human Neuroscience, January 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
6 news outlets
blogs
3 blogs
twitter
86 X users
facebook
4 Facebook pages
googleplus
4 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
161 Mendeley
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Title
Systematic network lesioning reveals the core white matter scaffold of the human brain
Published in
Frontiers in Human Neuroscience, January 2014
DOI 10.3389/fnhum.2014.00051
Pubmed ID
Authors

Andrei Irimia, John D. Van Horn

Abstract

Brain connectivity loss due to traumatic brain injury, stroke or multiple sclerosis can have serious consequences on life quality and a measurable impact upon neural and cognitive function. Though brain network properties are known to be affected disproportionately by injuries to certain gray matter regions, the manner in which white matter (WM) insults affect such properties remains poorly understood. Here, network-theoretic analysis allows us to identify the existence of a macroscopic neural connectivity core in the adult human brain which is particularly sensitive to network lesioning. The systematic lesion analysis of brain connectivity matrices from diffusion neuroimaging over a large sample (N = 110) reveals that the global vulnerability of brain networks can be predicated upon the extent to which injuries disrupt this connectivity core, which is found to be quite distinct from the set of connections between rich club nodes in the brain. Thus, in addition to connectivity within the rich club, the brain as a network also contains a distinct core scaffold of network edges consisting of WM connections whose damage dramatically lowers the integrative properties of brain networks. This pattern of core WM fasciculi whose injury results in major alterations to overall network integrity presents new avenues for clinical outcome prediction following brain injury by relating lesion locations to connectivity core disruption and implications for recovery. The findings of this study contribute substantially to current understanding of the human WM connectome, its sensitivity to injury, and clarify a long-standing debate regarding the relative prominence of gray vs. WM regions in the context of brain structure and connectomic architecture.

X Demographics

X Demographics

The data shown below were collected from the profiles of 86 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Italy 2 1%
Germany 2 1%
United Kingdom 2 1%
Spain 2 1%
Canada 1 <1%
France 1 <1%
Poland 1 <1%
Unknown 144 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 30%
Researcher 29 18%
Student > Master 15 9%
Student > Bachelor 9 6%
Professor > Associate Professor 9 6%
Other 31 19%
Unknown 20 12%
Readers by discipline Count As %
Medicine and Dentistry 32 20%
Psychology 24 15%
Neuroscience 22 14%
Agricultural and Biological Sciences 15 9%
Computer Science 11 7%
Other 26 16%
Unknown 31 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 127. 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 09 December 2018.
All research outputs
#332,789
of 25,653,515 outputs
Outputs from Frontiers in Human Neuroscience
#150
of 7,741 outputs
Outputs of similar age
#3,041
of 320,719 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#9
of 123 outputs
Altmetric has tracked 25,653,515 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,741 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 98% 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 320,719 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.