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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
57 tweeters

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
208 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 57 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 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Korea, Republic of 1 <1%
Netherlands 1 <1%
Unknown 205 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 28%
Researcher 37 18%
Student > Master 27 13%
Unspecified 25 12%
Student > Bachelor 13 6%
Other 47 23%
Readers by discipline Count As %
Neuroscience 62 30%
Unspecified 46 22%
Engineering 28 13%
Agricultural and Biological Sciences 15 7%
Psychology 15 7%
Other 42 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 01 January 2019.
All research outputs
#261,835
of 13,351,073 outputs
Outputs from Scientific Reports
#3,221
of 64,528 outputs
Outputs of similar age
#10,773
of 267,769 outputs
Outputs of similar age from Scientific Reports
#63
of 1,218 outputs
Altmetric has tracked 13,351,073 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 64,528 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done particularly well, scoring higher than 95% 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 267,769 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 1,218 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.