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Your Brain on Art: Emergent Cortical Dynamics During Aesthetic Experiences

Overview of attention for article published in Frontiers in Human Neuroscience, November 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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
2 news outlets
blogs
3 blogs
twitter
33 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Readers on

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146 Mendeley
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Title
Your Brain on Art: Emergent Cortical Dynamics During Aesthetic Experiences
Published in
Frontiers in Human Neuroscience, November 2015
DOI 10.3389/fnhum.2015.00626
Pubmed ID
Authors

Kimberly L. Kontson, Murad Megjhani, Justin A. Brantley, Jesus G. Cruz-Garza, Sho Nakagome, Dario Robleto, Michelle White, Eugene Civillico, Jose L. Contreras-Vidal

Abstract

The brain response to conceptual art was studied with mobile electroencephalography (EEG) to examine the neural basis of aesthetic experiences. In contrast to most studies of perceptual phenomena, participants were moving and thinking freely as they viewed the exhibit The Boundary of Life is Quietly Crossed by Dario Robleto at the Menil Collection-Houston. The brain activity of over 400 subjects was recorded using dry-electrode and one reference gel-based EEG systems over a period of 3 months. Here, we report initial findings based on the reference system. EEG segments corresponding to each art piece were grouped into one of three classes (complex, moderate, and baseline) based on analysis of a digital image of each piece. Time, frequency, and wavelet features extracted from EEG were used to classify patterns associated with viewing art, and ranked based on their relevance for classification. The maximum classification accuracy was 55% (chance = 33%) with delta and gamma features the most relevant for classification. Functional analysis revealed a significant increase in connection strength in localized brain networks while subjects viewed the most aesthetically pleasing art compared to viewing a blank wall. The direction of signal flow showed early recruitment of broad posterior areas followed by focal anterior activation. Significant differences in the strength of connections were also observed across age and gender. This work provides evidence that EEG, deployed on freely behaving subjects, can detect selective signal flow in neural networks, identify significant differences between subject groups, and report with greater-than-chance accuracy the complexity of a subject's visual percept of aesthetically pleasing art. Our approach, which allows acquisition of neural activity "in action and context," could lead to understanding of how the brain integrates sensory input and its ongoing internal state to produce the phenomenon which we term aesthetic experience.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Austria 1 <1%
Unknown 144 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 24%
Student > Master 25 17%
Researcher 15 10%
Student > Bachelor 9 6%
Professor > Associate Professor 8 5%
Other 31 21%
Unknown 23 16%
Readers by discipline Count As %
Psychology 30 21%
Neuroscience 30 21%
Computer Science 11 8%
Engineering 10 7%
Arts and Humanities 6 4%
Other 26 18%
Unknown 33 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 15 November 2021.
All research outputs
#716,396
of 25,155,561 outputs
Outputs from Frontiers in Human Neuroscience
#313
of 7,631 outputs
Outputs of similar age
#11,957
of 398,582 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#7
of 148 outputs
Altmetric has tracked 25,155,561 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 7,631 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. 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 398,582 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 97% of its contemporaries.
We're also able to compare this research output to 148 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 95% of its contemporaries.