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What goes on in the resting-state? A qualitative glimpse into resting-state experience in the scanner

Overview of attention for article published in Frontiers in Psychology, 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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
3 blogs
twitter
34 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

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51 Dimensions

Readers on

mendeley
113 Mendeley
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Title
What goes on in the resting-state? A qualitative glimpse into resting-state experience in the scanner
Published in
Frontiers in Psychology, October 2015
DOI 10.3389/fpsyg.2015.01535
Pubmed ID
Authors

Russell T. Hurlburt, Ben Alderson-Day, Charles Fernyhough, Simone Kühn

Abstract

The brain's resting-state has attracted considerable interest in recent years, but currently little is known either about typical experience during the resting-state or about whether there are inter-individual differences in resting-state phenomenology. We used descriptive experience sampling (DES) in an attempt to apprehend high fidelity glimpses of the inner experience of five participants in an extended fMRI study. Results showed that the inner experiences and the neural activation patterns (as quantified by amplitude of low frequency fluctuations analysis) of the five participants were largely consistent across time, suggesting that our extended-duration scanner sessions were broadly similar to typical resting-state sessions. However, there were very large individual differences in inner phenomena, suggesting that the resting-state itself may differ substantially from one participant to the next. We describe these individual differences in experiential characteristics and display some typical moments of resting-state experience. We also show that retrospective characterizations of phenomena can often be very different from moment-by-moment reports. We discuss implications for the assessment of inner experience in neuroimaging studies more generally, concluding that it may be possible to use fMRI to investigate neural correlates of phenomena apprehended in high fidelity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
France 1 <1%
Unknown 110 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 29%
Researcher 25 22%
Student > Master 19 17%
Student > Bachelor 5 4%
Other 5 4%
Other 10 9%
Unknown 16 14%
Readers by discipline Count As %
Psychology 46 41%
Neuroscience 19 17%
Medicine and Dentistry 5 4%
Computer Science 4 4%
Linguistics 3 3%
Other 11 10%
Unknown 25 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 10 December 2015.
All research outputs
#984,875
of 25,802,847 outputs
Outputs from Frontiers in Psychology
#2,084
of 34,798 outputs
Outputs of similar age
#14,195
of 291,005 outputs
Outputs of similar age from Frontiers in Psychology
#36
of 532 outputs
Altmetric has tracked 25,802,847 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. 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 291,005 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 532 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 93% of its contemporaries.