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Neural mechanisms of risky decision making in adolescents reporting frequent alcohol and/or marijuana use

Overview of attention for article published in Brain Imaging and Behavior, April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Neural mechanisms of risky decision making in adolescents reporting frequent alcohol and/or marijuana use
Published in
Brain Imaging and Behavior, April 2017
DOI 10.1007/s11682-017-9723-x
Pubmed ID
Authors

Eric D. Claus, Sarah W. Feldstein Ewing, Renee E. Magnan, Erika Montanaro, Kent E. Hutchison, Angela D. Bryan

Abstract

Because adolescence is a period of heightened exploration of new behaviors, there is a natural increase in risk taking including initial use of alcohol and marijuana. In order to better understand potential differences in neurocognitive functioning among adolescents who use drugs, the current study aimed to identify the neural substrates of risky decision making that differ among adolescents who are primary users of alcohol or marijuana, primary users of both alcohol and marijuana, and controls who report primary use of neither drug. Participants completed the Balloon Analogue Risk Task (BART) while undergoing functional magnetic resonance imaging. Comparison of brain activation during risky decisions versus non-risky decisions across all subjects revealed greater response to risky decisions in dorsal anterior cinguate cortex (dACC), anterior insula, ventral striatum, and lateral prefrontal cortex. Group comparisons across non-using controls, primary marijuana, primary alcohol, and alcohol and marijuana users revealed several notable differences in the recruitment of brain regions. Adolescents who use both alcohol and marijauna show decreased response during risky decision making compared to controls in insula, striatum, and thalamus, and reduced differentiation of increasing risk in dACC, insula, striatum, and superior parietal lobe compared to controls. These results provide evidence of differential engagement of risky decision making circuits among adolescents with varying levels of alcohol and marijuana use, and may provide useful targets for longitudinal studies that explicitly address causality of these differences.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 18%
Student > Ph. D. Student 16 15%
Student > Master 9 9%
Researcher 8 8%
Student > Doctoral Student 7 7%
Other 11 11%
Unknown 34 33%
Readers by discipline Count As %
Psychology 28 27%
Neuroscience 16 15%
Medicine and Dentistry 7 7%
Nursing and Health Professions 4 4%
Social Sciences 3 3%
Other 10 10%
Unknown 36 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 April 2018.
All research outputs
#7,525,196
of 22,965,074 outputs
Outputs from Brain Imaging and Behavior
#407
of 1,155 outputs
Outputs of similar age
#119,797
of 310,204 outputs
Outputs of similar age from Brain Imaging and Behavior
#9
of 32 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,155 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 63% 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 310,204 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 32 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 71% of its contemporaries.