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Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework

Overview of attention for article published in Frontiers in Human Neuroscience, December 2014
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

policy
1 policy source
twitter
65 X users
facebook
10 Facebook pages
wikipedia
1 Wikipedia page
googleplus
7 Google+ users

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
555 Mendeley
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1 CiteULike
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Title
Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework
Published in
Frontiers in Human Neuroscience, December 2014
DOI 10.3389/fnhum.2014.01008
Pubmed ID
Authors

Tomas Ros, Bernard J. Baars, Ruth A. Lanius, Patrik Vuilleumier

Abstract

Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its clinical benefits, a solid theoretical basis is still lacking on the manner in which NFB is able to achieve these outcomes. The present work attempts to bring together various concepts from neurobiology, engineering, and dynamical systems so as to propose a contemporary theoretical framework for the mechanistic effects of NFB. The objective is to provide a firmly neurophysiological account of NFB, which goes beyond traditional behaviorist interpretations that attempt to explain psychological processes solely from a descriptive standpoint whilst treating the brain as a "black box". To this end, we interlink evidence from experimental findings that encompass a broad range of intrinsic brain phenomena: starting from "bottom-up" mechanisms of neural synchronization, followed by "top-down" regulation of internal brain states, moving to dynamical systems plus control-theoretic principles, and concluding with activity-dependent as well as homeostatic forms of brain plasticity. In support of our framework, we examine the effects of NFB in several brain disorders, including attention-deficit hyperactivity (ADHD) and post-traumatic stress disorder (PTSD). In sum, it is argued that pathological oscillations emerge from an abnormal formation of brain-state attractor landscape(s). The central thesis put forward is that NFB tunes brain oscillations toward a homeostatic set-point which affords an optimal balance between network flexibility and stability (i.e., self-organised criticality (SOC)).

X Demographics

X Demographics

The data shown below were collected from the profiles of 65 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 555 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 <1%
Switzerland 3 <1%
France 3 <1%
United States 3 <1%
Canada 3 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Cuba 1 <1%
Italy 1 <1%
Other 4 <1%
Unknown 531 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 105 19%
Researcher 90 16%
Student > Master 76 14%
Student > Bachelor 53 10%
Student > Doctoral Student 28 5%
Other 105 19%
Unknown 98 18%
Readers by discipline Count As %
Neuroscience 125 23%
Psychology 101 18%
Medicine and Dentistry 57 10%
Agricultural and Biological Sciences 38 7%
Engineering 35 6%
Other 70 13%
Unknown 129 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 September 2020.
All research outputs
#832,312
of 25,632,496 outputs
Outputs from Frontiers in Human Neuroscience
#360
of 7,738 outputs
Outputs of similar age
#10,409
of 361,615 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#11
of 176 outputs
Altmetric has tracked 25,632,496 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 7,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done particularly well, scoring higher than 95% 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 361,615 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 97% of its contemporaries.
We're also able to compare this research output to 176 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.