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Controllability of structural brain networks

Overview of attention for article published in Nature Communications, October 2015
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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 (96th percentile)

Mentioned by

news
20 news outlets
blogs
7 blogs
twitter
114 X users
facebook
9 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
14 Google+ users

Citations

dimensions_citation
666 Dimensions

Readers on

mendeley
1023 Mendeley
citeulike
2 CiteULike
Title
Controllability of structural brain networks
Published in
Nature Communications, October 2015
DOI 10.1038/ncomms9414
Pubmed ID
Authors

Shi Gu, Fabio Pasqualetti, Matthew Cieslak, Qawi K. Telesford, Alfred B. Yu, Ari E. Kahn, John D. Medaglia, Jean M. Vettel, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett

Abstract

Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behaviour. However, fundamental principles constraining these dynamic network processes have remained elusive. Here we use tools from control and network theories to offer a mechanistic explanation for how the brain moves between cognitive states drawn from the network organization of white matter microstructure. Our results suggest that densely connected areas, particularly in the default mode system, facilitate the movement of the brain to many easily reachable states. Weakly connected areas, particularly in cognitive control systems, facilitate the movement of the brain to difficult-to-reach states. Areas located on the boundary between network communities, particularly in attentional control systems, facilitate the integration or segregation of diverse cognitive systems. Our results suggest that structural network differences between cognitive circuits dictate their distinct roles in controlling trajectories of brain network function.

X Demographics

X Demographics

The data shown below were collected from the profiles of 114 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 1,023 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 2%
Japan 5 <1%
Germany 4 <1%
Switzerland 2 <1%
Brazil 2 <1%
China 2 <1%
Canada 2 <1%
United Kingdom 2 <1%
Italy 1 <1%
Other 6 <1%
Unknown 980 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 275 27%
Researcher 184 18%
Student > Master 105 10%
Student > Bachelor 80 8%
Professor 45 4%
Other 168 16%
Unknown 166 16%
Readers by discipline Count As %
Neuroscience 233 23%
Psychology 120 12%
Engineering 117 11%
Agricultural and Biological Sciences 88 9%
Computer Science 63 6%
Other 165 16%
Unknown 237 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 268. 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 19 September 2022.
All research outputs
#137,595
of 25,775,807 outputs
Outputs from Nature Communications
#1,975
of 58,407 outputs
Outputs of similar age
#1,669
of 287,809 outputs
Outputs of similar age from Nature Communications
#25
of 740 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has done particularly well, scoring higher than 96% 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 287,809 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 740 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 96% of its contemporaries.