↓ Skip to main content

The neural correlates of risk propensity in males and females using resting-state fMRI

Overview of attention for article published in Frontiers in Behavioral Neuroscience, January 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
79 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.
Title
The neural correlates of risk propensity in males and females using resting-state fMRI
Published in
Frontiers in Behavioral Neuroscience, January 2014
DOI 10.3389/fnbeh.2014.00002
Pubmed ID
Authors

Yuan Zhou, Shu Li, John Dunn, Huandong Li, Wen Qin, Maohu Zhu, Li-Lin Rao, Ming Song, Chunshui Yu, Tianzi Jiang

Abstract

Men are more risk prone than women, but the underlying basis remains unclear. To investigate this question, we developed a trait-like measure of risk propensity which we correlated with resting-state functional connectivity to identify sex differences. Specifically, we used short- and long-range functional connectivity densities to identify associated brain regions and examined their functional connectivities in resting-state functional magnetic resonance imaging (fMRI) data collected from a large sample of healthy young volunteers. We found that men had a higher level of general risk propensity (GRP) than women. At the neural level, although they shared a common neural correlate of GRP in a network centered at the right inferior frontal gyrus, men and women differed in a network centered at the right secondary somatosensory cortex, which included the bilateral dorsal anterior/middle insular cortices and the dorsal anterior cingulate cortex. In addition, men and women differed in a local network centered at the left inferior orbitofrontal cortex. Most of the regions identified by this resting-state fMRI study have been previously implicated in risk processing when people make risky decisions. This study provides a new perspective on the brain-behavioral relationships in risky decision making and contributes to our understanding of sex differences in risk propensity.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 78 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 25%
Other 7 9%
Student > Postgraduate 7 9%
Professor > Associate Professor 6 8%
Student > Bachelor 4 5%
Other 19 24%
Unknown 16 20%
Readers by discipline Count As %
Psychology 23 29%
Neuroscience 7 9%
Medicine and Dentistry 6 8%
Engineering 5 6%
Agricultural and Biological Sciences 3 4%
Other 11 14%
Unknown 24 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 March 2014.
All research outputs
#18,366,246
of 22,747,498 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,591
of 3,157 outputs
Outputs of similar age
#229,340
of 305,221 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#49
of 56 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 305,221 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.