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Wearable functional near infrared spectroscopy (fNIRS) and transcranial direct current stimulation (tDCS): expanding vistas for neurocognitive augmentation

Overview of attention for article published in Frontiers in Systems Neuroscience, March 2015
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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18 X users
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3 patents
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2 Facebook pages
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1 Google+ user
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1 Redditor

Citations

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121 Dimensions

Readers on

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345 Mendeley
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Title
Wearable functional near infrared spectroscopy (fNIRS) and transcranial direct current stimulation (tDCS): expanding vistas for neurocognitive augmentation
Published in
Frontiers in Systems Neuroscience, March 2015
DOI 10.3389/fnsys.2015.00027
Pubmed ID
Authors

Ryan McKendrick, Raja Parasuraman, Hasan Ayaz

Abstract

Contemporary studies with transcranial direct current stimulation (tDCS) provide a growing base of evidence for enhancing cognition through the non-invasive delivery of weak electric currents to the brain. The main effect of tDCS is to modulate cortical excitability depending on the polarity of the applied current. However, the underlying mechanism of neuromodulation is not well understood. A new generation of functional near infrared spectroscopy (fNIRS) systems is described that are miniaturized, portable, and include wearable sensors. These developments provide an opportunity to couple fNIRS with tDCS, consistent with a neuroergonomics approach for joint neuroimaging and neurostimulation investigations of cognition in complex tasks and in naturalistic conditions. The effects of tDCS on complex task performance and the use of fNIRS for monitoring cognitive workload during task performance are described. Also explained is how fNIRS + tDCS can be used simultaneously for assessing spatial working memory. Mobile optical brain imaging is a promising neuroimaging tool that has the potential to complement tDCS for realistic applications in natural settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Canada 4 1%
Portugal 2 <1%
United Kingdom 2 <1%
Cuba 1 <1%
Germany 1 <1%
Spain 1 <1%
Argentina 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 327 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 21%
Researcher 50 14%
Student > Master 40 12%
Student > Bachelor 37 11%
Professor > Associate Professor 24 7%
Other 70 20%
Unknown 52 15%
Readers by discipline Count As %
Engineering 63 18%
Psychology 56 16%
Neuroscience 49 14%
Medicine and Dentistry 23 7%
Agricultural and Biological Sciences 17 5%
Other 61 18%
Unknown 76 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 17 May 2022.
All research outputs
#2,451,351
of 24,677,985 outputs
Outputs from Frontiers in Systems Neuroscience
#207
of 1,401 outputs
Outputs of similar age
#30,436
of 263,763 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#9
of 57 outputs
Altmetric has tracked 24,677,985 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,401 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 done well, scoring higher than 85% 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 263,763 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 88% 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 done well, scoring higher than 85% of its contemporaries.