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Making Waves in the Brain: What Are Oscillations, and Why Modulating Them Makes Sense for Brain Injury

Overview of attention for article published in Frontiers in Systems Neuroscience, April 2016
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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239 Mendeley
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Title
Making Waves in the Brain: What Are Oscillations, and Why Modulating Them Makes Sense for Brain Injury
Published in
Frontiers in Systems Neuroscience, April 2016
DOI 10.3389/fnsys.2016.00030
Pubmed ID
Authors

Aleksandr Pevzner, Ali Izadi, Darrin J. Lee, Kiarash Shahlaie, Gene G. Gurkoff

Abstract

Traumatic brain injury (TBI) can result in persistent cognitive, behavioral and emotional deficits. However, the vast majority of patients are not chronically hospitalized; rather they have to manage their disabilities once they are discharged to home. Promoting recovery to pre-injury level is important from a patient care as well as a societal perspective. Electrical neuromodulation is one approach that has shown promise in alleviating symptoms associated with neurological disorders such as in Parkinson's disease (PD) and epilepsy. Consistent with this perspective, both animal and clinical studies have revealed that TBI alters physiological oscillatory rhythms. More recently several studies demonstrated that low frequency stimulation improves cognitive outcome in models of TBI. Specifically, stimulation of the septohippocampal circuit in the theta frequency entrained oscillations and improved spatial learning following TBI. In order to evaluate the potential of electrical deep brain stimulation for clinical translation we review the basic neurophysiology of oscillations, their role in cognition and how they are changed post-TBI. Furthermore, we highlight several factors for future pre-clinical and clinical studies to consider, with the hope that it will promote a hypothesis driven approach to subsequent experimental designs and ultimately successful translation to improve outcome in patients with TBI.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Canada 1 <1%
Unknown 236 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 24%
Researcher 32 13%
Student > Bachelor 32 13%
Student > Master 24 10%
Student > Doctoral Student 20 8%
Other 39 16%
Unknown 34 14%
Readers by discipline Count As %
Neuroscience 62 26%
Psychology 29 12%
Engineering 24 10%
Medicine and Dentistry 20 8%
Agricultural and Biological Sciences 16 7%
Other 44 18%
Unknown 44 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 May 2016.
All research outputs
#2,399,893
of 23,262,131 outputs
Outputs from Frontiers in Systems Neuroscience
#212
of 1,350 outputs
Outputs of similar age
#40,772
of 302,011 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#3
of 35 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done well, scoring higher than 84% 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 302,011 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 86% of its contemporaries.
We're also able to compare this research output to 35 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 91% of its contemporaries.