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Closing the Loop on Deep Brain Stimulation for Treatment-Resistant Depression

Overview of attention for article published in Frontiers in Neuroscience, March 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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6 news outlets
blogs
1 blog
twitter
11 X users

Citations

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112 Dimensions

Readers on

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149 Mendeley
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Title
Closing the Loop on Deep Brain Stimulation for Treatment-Resistant Depression
Published in
Frontiers in Neuroscience, March 2018
DOI 10.3389/fnins.2018.00175
Pubmed ID
Authors

Alik S. Widge, Donald A. Malone, Darin D. Dougherty

Abstract

Major depressive episodes are the largest cause of psychiatric disability, and can often resist treatment with medication and psychotherapy. Advances in the understanding of the neural circuit basis of depression, combined with the success of deep brain stimulation (DBS) in movement disorders, spurred several groups to test DBS for treatment-resistant depression. Multiple brain sites have now been stimulated in open-label and blinded studies. Initial open-label results were dramatic, but follow-on controlled/blinded clinical trials produced inconsistent results, with both successes and failures to meet endpoints. Data from follow-on studies suggest that this is because DBS in these trials was not targeted to achieve physiologic responses. We review these results within a technology-lifecycle framework, in which these early trial "failures" are a natural consequence of over-enthusiasm for an immature technology. That framework predicts that from this "valley of disillusionment," DBS may be nearing a "slope of enlightenment." Specifically, by combining recent mechanistic insights and the maturing technology of brain-computer interfaces (BCI), the next generation of trials will be better able to target pathophysiology. Key to that will be the development of closed-loop systems that semi-autonomously alter stimulation strategies based on a patient's individual phenotype. Such next-generation DBS approaches hold great promise for improving psychiatric care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 19%
Student > Ph. D. Student 23 15%
Student > Bachelor 23 15%
Student > Master 13 9%
Student > Doctoral Student 11 7%
Other 11 7%
Unknown 40 27%
Readers by discipline Count As %
Neuroscience 27 18%
Medicine and Dentistry 24 16%
Engineering 22 15%
Psychology 8 5%
Agricultural and Biological Sciences 8 5%
Other 12 8%
Unknown 48 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 27 October 2021.
All research outputs
#758,350
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#317
of 11,542 outputs
Outputs of similar age
#17,297
of 347,622 outputs
Outputs of similar age from Frontiers in Neuroscience
#11
of 263 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 97% 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 347,622 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 95% of its contemporaries.
We're also able to compare this research output to 263 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 95% of its contemporaries.