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Characterization of mind wandering using fNIRS

Overview of attention for article published in Frontiers in Systems Neuroscience, March 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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8 X users

Citations

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56 Dimensions

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157 Mendeley
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Title
Characterization of mind wandering using fNIRS
Published in
Frontiers in Systems Neuroscience, March 2015
DOI 10.3389/fnsys.2015.00045
Pubmed ID
Authors

Gautier Durantin, Frederic Dehais, Arnaud Delorme

Abstract

Assessing whether someone is attending to a task has become important for educational and professional applications. Such attentional drifts are usually termed mind wandering (MW). The purpose of the current study is to test to what extent a recent neural imaging modality can be used to detect MW episodes. Functional near infrared spectroscopy is a non-invasive neuroimaging technique that has never been used so far to measure MW. We used the Sustained Attention to Response Task (SART) to assess when subjects attention leaves a primary task. Sixteen-channel fNIRS data were collected over frontal cortices. We observed significant activations over the medial prefrontal cortex (mPFC) during MW, a brain region associated with the default mode network (DMN). fNIRS data were used to classify MW data above chance level. In line with previous brain-imaging studies, our results confirm the ability of fNIRS to detect Default Network activations in the context of MW.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Canada 2 1%
France 1 <1%
United States 1 <1%
Unknown 151 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 28%
Student > Master 21 13%
Researcher 18 11%
Student > Bachelor 12 8%
Student > Doctoral Student 9 6%
Other 23 15%
Unknown 30 19%
Readers by discipline Count As %
Psychology 50 32%
Engineering 13 8%
Neuroscience 13 8%
Computer Science 9 6%
Agricultural and Biological Sciences 8 5%
Other 26 17%
Unknown 38 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 March 2016.
All research outputs
#6,623,716
of 24,143,470 outputs
Outputs from Frontiers in Systems Neuroscience
#519
of 1,390 outputs
Outputs of similar age
#73,826
of 267,462 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#23
of 57 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,390 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 62% 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 267,462 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.