Deep Brain Stimulation of the Human Reward System for Major Depression|[mdash]|Rationale, Outcomes and Outlook

Overview of attention for article published in Neuropsychopharmacology, February 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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
20 tweeters
wikipedia
1 Wikipedia page

Readers on

mendeley
105 Mendeley
citeulike
1 CiteULike
Title
Deep Brain Stimulation of the Human Reward System for Major Depression|[mdash]|Rationale, Outcomes and Outlook
Published in
Neuropsychopharmacology, February 2014
DOI 10.1038/npp.2014.28
Pubmed ID
Authors

Thomas E Schlaepfer, Bettina H Bewernick, Sarah Kayser, Rene Hurlemann, Volker A Coenen, Schlaepfer TE, Bewernick BH, Kayser S, Hurlemann R, Coenen VA

Abstract

Deep brain stimulation (DBS) as a putative approach for treatment-resistant depression (TRD) has now been researched for about a decade. Several uncontrolled studies--all in relatively small patient populations and different target regions-have shown clinically relevant antidepressant effects in about half of the patients and very recently, DBS to a key structure of the reward system, the medial forebrain bundle, has yielded promising results within few days of stimulation and at much lower stimulation intensities. On the downside, DBS procedures in regions are associated with surgical risks (eg, hemorrhage) and psychiatric complications (suicidal attenuation, hypomania) as well as high costs. This overview summarizes research on the mechanisms of brain networks with respect to psychiatric diseases and--as a novelty--extrapolates to the role of the reward system in DBS for patients with treatment-resistant depression. It further evaluates relevant methodological aspects of today's research in DBS for TRD. On the scientific side, the reward system has an important yet clearly under-recognized role in both neurobiology and treatment of depression. On the methodological side of DBS research in TRD, better animal models are clearly needed to explain clinical effects of DBS in TRD. Larger sample sizes, long-term follow-up and designs including blinded sham control are required to draw final conclusions on efficacy and side effects. Practical research issues cover study design, patient tracking, and the discussion of meaningful secondary outcome measures.

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
Spain 2 2%
United States 2 2%
Australia 1 <1%
Chile 1 <1%
France 1 <1%
Israel 1 <1%
Norway 1 <1%
Netherlands 1 <1%
Other 4 4%
Unknown 88 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Researcher 21 20%
Student > Bachelor 14 13%
Student > Master 14 13%
Student > Doctoral Student 9 9%
Other 24 23%
Readers by discipline Count As %
Medicine and Dentistry 32 30%
Agricultural and Biological Sciences 26 25%
Psychology 20 19%
Neuroscience 13 12%
Engineering 6 6%
Other 8 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 48. 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 07 March 2017.
All research outputs
#160,338
of 7,506,617 outputs
Outputs from Neuropsychopharmacology
#116
of 3,151 outputs
Outputs of similar age
#5,236
of 172,003 outputs
Outputs of similar age from Neuropsychopharmacology
#8
of 67 outputs
Altmetric has tracked 7,506,617 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 3,151 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 96% 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 172,003 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 96% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.