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The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core

Overview of attention for article published in Scientific Reports, June 2017
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
4 news outlets
twitter
56 tweeters

Readers on

mendeley
265 Mendeley
Title
The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
Published in
Scientific Reports, June 2017
DOI 10.1038/s41598-017-03073-5
Pubmed ID
Authors

Gustavo Deco, Morten L. Kringelbach, Viktor K. Jirsa, Petra Ritter

Abstract

In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. We used structural and functional neuroimaging data to construct whole- brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function.

Twitter Demographics

The data shown below were collected from the profiles of 56 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Netherlands 1 <1%
Unknown 263 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 27%
Researcher 48 18%
Student > Master 37 14%
Student > Bachelor 17 6%
Student > Doctoral Student 14 5%
Other 40 15%
Unknown 37 14%
Readers by discipline Count As %
Neuroscience 82 31%
Engineering 31 12%
Psychology 20 8%
Agricultural and Biological Sciences 18 7%
Medicine and Dentistry 16 6%
Other 38 14%
Unknown 60 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 63. 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 16 July 2020.
All research outputs
#341,826
of 15,497,646 outputs
Outputs from Scientific Reports
#4,019
of 80,415 outputs
Outputs of similar age
#11,339
of 271,706 outputs
Outputs of similar age from Scientific Reports
#67
of 1,256 outputs
Altmetric has tracked 15,497,646 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 80,415 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has done particularly well, scoring higher than 94% 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 271,706 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 95% of its contemporaries.
We're also able to compare this research output to 1,256 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 94% of its contemporaries.