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Altered Value Coding in the Ventromedial Prefrontal Cortex in Healthy Older Adults

Overview of attention for article published in Frontiers in Aging Neuroscience, August 2016
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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Title
Altered Value Coding in the Ventromedial Prefrontal Cortex in Healthy Older Adults
Published in
Frontiers in Aging Neuroscience, August 2016
DOI 10.3389/fnagi.2016.00210
Pubmed ID
Authors

Jing Yu, Loreen Mamerow, Xu Lei, Lei Fang, Rui Mata

Abstract

Previous work suggests that aging is associated with changes in risk taking but less is known about their underlying neural basis, such as the potential age differences in the neural processing of value and risk. The goal of the present study was to investigate adult age differences in functional neural responses in a naturalistic risk-taking task. Twenty-six young adults and 27 healthy older adults completed the Balloon Analogue Risk Task while undergoing functional magnetic resonance imaging. Young and older adults showed similar overt risk-taking behavior. Group comparison of neural activity in response to risky vs. control stimuli revealed similar patterns of activation in the bilateral striatum, anterior insula (AI) and ventromedial prefrontal cortex (vmPFC). Group comparison of parametrically modulated activity in response to continued pumping similarly revealed comparable results for both age groups in the AI and, potentially, the striatum, yet differences emerged for regional activity in the vmPFC. At whole brain level, insular, striatal and vmPFC activation was predictive of behavioral risk taking for young but not older adults. The current results are interpreted and discussed as preserved neural tracking of risk and reward in the AI and striatum, respectively, but altered value coding in the vmPFC in the two age groups. The latter finding points toward older adults exhibiting differential vmPFC-related integration and value coding. Furthermore, neural activation holds differential predictive validity for behavioral risk taking in young and older adults.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Researcher 7 16%
Student > Master 4 9%
Student > Bachelor 3 7%
Student > Doctoral Student 2 5%
Other 2 5%
Unknown 15 35%
Readers by discipline Count As %
Psychology 12 28%
Neuroscience 5 12%
Business, Management and Accounting 3 7%
Social Sciences 2 5%
Medicine and Dentistry 2 5%
Other 4 9%
Unknown 15 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 05 October 2016.
All research outputs
#1,172,786
of 24,340,143 outputs
Outputs from Frontiers in Aging Neuroscience
#266
of 5,202 outputs
Outputs of similar age
#22,075
of 343,536 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#4
of 60 outputs
Altmetric has tracked 24,340,143 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done particularly well, scoring higher than 94% 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 343,536 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 93% 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 particularly well, scoring higher than 95% of its contemporaries.