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Coupling Between Resting Cerebral Perfusion and EEG

Overview of attention for article published in Brain Topography, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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1 X user
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1 patent
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1 Wikipedia page

Citations

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106 Mendeley
Title
Coupling Between Resting Cerebral Perfusion and EEG
Published in
Brain Topography, November 2012
DOI 10.1007/s10548-012-0265-7
Pubmed ID
Authors

R. L. O’Gorman, S.-S. Poil, D. Brandeis, P. Klaver, S. Bollmann, C. Ghisleni, R. Lüchinger, E. Martin, A. Shankaranarayanan, D. C. Alsop, L. Michels

Abstract

While several studies have investigated interactions between the electroencephalography (EEG) and functional magnetic resonance imaging BOLD signal fluctuations, less is known about the associations between EEG oscillations and baseline brain haemodynamics, and few studies have examined the link between EEG power outside the alpha band and baseline perfusion. Here we compare whole-brain arterial spin labelling perfusion MRI and EEG in a group of healthy adults (n = 16, ten females, median age: 27 years, range 21-48) during an eyes closed rest condition. Correlations emerged between perfusion and global average EEG power in low (delta: 2-4 Hz and theta: 4-7 Hz), middle (alpha: 8-13 Hz), and high (beta: 13-30 Hz and gamma: 30-45 Hz) frequency bands in both cortical and sub-cortical regions. The correlations were predominately positive in middle and high-frequency bands, and negative in delta. In addition, central alpha frequency positively correlated with perfusion in a network of brain regions associated with the modulation of attention and preparedness for external input, and central theta frequency correlated negatively with a widespread network of cortical regions. These results indicate that the coupling between average EEG power/frequency and local cerebral blood flow varies in a frequency specific manner. Our results are consistent with longstanding concepts that decreasing EEG frequencies which in general map onto decreasing levels of activation.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
Austria 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 98 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 20%
Student > Ph. D. Student 17 16%
Student > Master 15 14%
Student > Postgraduate 7 7%
Professor > Associate Professor 6 6%
Other 25 24%
Unknown 15 14%
Readers by discipline Count As %
Neuroscience 23 22%
Psychology 17 16%
Medicine and Dentistry 17 16%
Engineering 10 9%
Computer Science 4 4%
Other 14 13%
Unknown 21 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 26 March 2015.
All research outputs
#4,157,787
of 22,723,682 outputs
Outputs from Brain Topography
#69
of 484 outputs
Outputs of similar age
#42,637
of 276,179 outputs
Outputs of similar age from Brain Topography
#1
of 5 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 484 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 84% 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 276,179 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 83% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them