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Deep Brain Stimulation of the Human Reward System for Major Depression—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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
26 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
130 Dimensions

Readers on

mendeley
262 Mendeley
citeulike
1 CiteULike
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Title
Deep Brain Stimulation of the Human Reward System for Major Depression—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

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
Switzerland 1 <1%
France 1 <1%
Germany 1 <1%
Sweden 1 <1%
Norway 1 <1%
Israel 1 <1%
United States 1 <1%
Unknown 253 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 38 15%
Student > Ph. D. Student 35 13%
Researcher 35 13%
Student > Master 29 11%
Student > Doctoral Student 22 8%
Other 52 20%
Unknown 51 19%
Readers by discipline Count As %
Neuroscience 57 22%
Medicine and Dentistry 51 19%
Psychology 34 13%
Agricultural and Biological Sciences 23 9%
Engineering 15 6%
Other 17 6%
Unknown 65 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 01 March 2020.
All research outputs
#748,081
of 25,660,026 outputs
Outputs from Neuropsychopharmacology
#327
of 5,205 outputs
Outputs of similar age
#8,023
of 330,574 outputs
Outputs of similar age from Neuropsychopharmacology
#8
of 60 outputs
Altmetric has tracked 25,660,026 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 5,205 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.3. This one has done particularly well, scoring higher than 93% 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 330,574 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 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.