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Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation

Overview of attention for article published in Frontiers in Behavioral Neuroscience, October 2014
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Title
Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation
Published in
Frontiers in Behavioral Neuroscience, October 2014
DOI 10.3389/fnbeh.2014.00373
Pubmed ID
Authors

David J. White, Marco Congedo, Joseph Ciorciari

Abstract

A developing literature explores the use of neurofeedback in the treatment of a range of clinical conditions, particularly ADHD and epilepsy, whilst neurofeedback also provides an experimental tool for studying the functional significance of endogenous brain activity. A critical component of any neurofeedback method is the underlying physiological signal which forms the basis for the feedback. While the past decade has seen the emergence of fMRI-based protocols training spatially confined BOLD activity, traditional neurofeedback has utilized a small number of electrode sites on the scalp. As scalp EEG at a given electrode site reflects a linear mixture of activity from multiple brain sources and artifacts, efforts to successfully acquire some level of control over the signal may be confounded by these extraneous sources. Further, in the event of successful training, these traditional neurofeedback methods are likely influencing multiple brain regions and processes. The present work describes the use of source-based signal processing methods in EEG neurofeedback. The feasibility and potential utility of such methods were explored in an experiment training increased theta oscillatory activity in a source derived from Blind Source Separation (BSS) of EEG data obtained during completion of a complex cognitive task (spatial navigation). Learned increases in theta activity were observed in two of the four participants to complete 20 sessions of neurofeedback targeting this individually defined functional brain source. Source-based EEG neurofeedback methods using BSS may offer important advantages over traditional neurofeedback, by targeting the desired physiological signal in a more functionally and spatially specific manner. Having provided preliminary evidence of the feasibility of these methods, future work may study a range of clinically and experimentally relevant brain processes where individual brain sources may be targeted by source-based EEG neurofeedback.

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The data shown below were collected from the profiles of 3 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Malaysia 1 <1%
France 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
Unknown 119 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 19%
Researcher 22 18%
Student > Master 22 18%
Student > Bachelor 15 12%
Student > Doctoral Student 8 6%
Other 17 14%
Unknown 16 13%
Readers by discipline Count As %
Psychology 31 25%
Neuroscience 30 24%
Medicine and Dentistry 13 10%
Engineering 8 6%
Computer Science 6 5%
Other 14 11%
Unknown 22 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 November 2014.
All research outputs
#14,790,240
of 22,771,140 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,033
of 3,161 outputs
Outputs of similar age
#143,846
of 260,346 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#56
of 94 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,161 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 30th percentile – i.e., 30% 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 260,346 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.