↓ Skip to main content

Using Multilevel Modeling to Examine Blunted Neural Responses to Reward in Major Depression

Overview of attention for article published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, April 2018
Altmetric Badge

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 (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

news
1 news outlet
twitter
8 X users
reddit
1 Redditor

Readers on

mendeley
74 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Using Multilevel Modeling to Examine Blunted Neural Responses to Reward in Major Depression
Published in
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, April 2018
DOI 10.1016/j.bpsc.2018.04.003
Pubmed ID
Authors
Abstract

Major depressive disorder (MDD) is a pernicious disorder characterized by deficits in reward processing. A better understanding of these deficits may help to elucidate the underlying pathophysiology and guide treatment development. This study assessed reward positivity and feedback negativity event-related potentials and their difference scores elicited in response to monetary gains and losses among 100 young adults (52 with MDD). Multilevel modeling was used to assess individual- and trial-level change in neural responses over time. Trial-level analyses indicated that a diagnosis of MDD and depressive symptom severity significantly moderated the trajectory of reward positivity, with individuals with higher symptoms of depression demonstrating less sensitivity to rewards over time. These results provide further support for reward dysfunction in MDD and highlight important individual differences in the trajectory of neural responses to reward. Future studies are warranted to investigate reward sensitivity over time to elucidate important individual- and trial-level differences in reward processing.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 12 16%
Student > Master 7 9%
Student > Doctoral Student 6 8%
Student > Bachelor 4 5%
Other 11 15%
Unknown 20 27%
Readers by discipline
Readers by discipline Count As %
Psychology 22 30%
Neuroscience 12 16%
Agricultural and Biological Sciences 4 5%
Unspecified 2 3%
Medicine and Dentistry 2 3%
Other 4 5%
Unknown 28 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 24 August 2020.
All research outputs
#2,821,934
of 32,125,052 outputs
Outputs from Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
#215
of 951 outputs
Outputs of similar age
#46,204
of 358,019 outputs
Outputs of similar age from Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
#9
of 25 outputs
Altmetric has tracked 32,125,052 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 951 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 well, scoring higher than 77% 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 358,019 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 87% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.