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Resting and Initial Beta Amplitudes Predict Learning Ability in Beta/Theta Ratio Neurofeedback Training in Healthy Young Adults

Overview of attention for article published in Frontiers in Human Neuroscience, December 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
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Title
Resting and Initial Beta Amplitudes Predict Learning Ability in Beta/Theta Ratio Neurofeedback Training in Healthy Young Adults
Published in
Frontiers in Human Neuroscience, December 2015
DOI 10.3389/fnhum.2015.00677
Pubmed ID
Authors

Wenya Nan, Feng Wan, Mang I Vai, Agostinho C. Da Rosa

Abstract

Neurofeedback (NF) training has been proved beneficial in cognitive and behavioral performance improvement in healthy individuals. Unfortunately, the NF learning ability shows large individual difference and in a number of NF studies there are even some non-learners who cannot successfully self-regulate their brain activity by NF. This study aimed to find out the neurophysiological predictor of the learning ability in up-regulating beta-1 (15-18 Hz)/theta (4-7 Hz) ratio (BTR) training in healthy young adults. Eighteen volunteers finished five training sessions in successive 5 days. We found that low beta (12-15 Hz) amplitude in a 1-min eyes-open resting baseline measured before training and the beta-1 amplitude in the first training block with 4.5-min duration could predict the BTR learning ability across sessions. The results provide a low cost, convenient and easy way to predict the learning ability in up-regulating BTR training, and would be helpful in avoiding potential frustration and adjusting training protocol for the participants with poor learning ability.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 20%
Student > Ph. D. Student 14 17%
Researcher 9 11%
Professor > Associate Professor 7 9%
Student > Bachelor 7 9%
Other 16 20%
Unknown 13 16%
Readers by discipline Count As %
Psychology 22 27%
Neuroscience 15 18%
Engineering 6 7%
Computer Science 5 6%
Medicine and Dentistry 5 6%
Other 12 15%
Unknown 17 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 December 2015.
All research outputs
#13,827,359
of 23,577,761 outputs
Outputs from Frontiers in Human Neuroscience
#4,053
of 7,319 outputs
Outputs of similar age
#190,083
of 392,857 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#76
of 141 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 392,857 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 51% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.