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Effect of baseline cannabis use and working-memory network function on changes in cannabis use in heavy cannabis users: A prospective fMRI study.

Overview of attention for article published in Human Brain Mapping, September 2013
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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7 tweeters
reddit
1 Redditor

Citations

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29 Dimensions

Readers on

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107 Mendeley
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Title
Effect of baseline cannabis use and working-memory network function on changes in cannabis use in heavy cannabis users: A prospective fMRI study.
Published in
Human Brain Mapping, September 2013
DOI 10.1002/hbm.22342
Pubmed ID
Authors

Janna Cousijn, Reinout W Wiers, K Richard Ridderinkhof, Wim van den Brink, Dick J Veltman, Anna E Goudriaan, Cousijn, Janna, Wiers, Reinout W., Ridderinkhof, K. Richard, van den Brink, Wim, Veltman, Dick J., Goudriaan, Anna E.

Abstract

Theoretical models of addiction suggest that a substance use disorder represents an imbalance between hypersensitive motivational processes and deficient regulatory executive functions. Working-memory (a central executive function) may be a powerful predictor of the course of drug use and drug-related problems. Goal of the current functional magnetic resonance imaging study was to assess the predictive power of working-memory network function for future cannabis use and cannabis-related problem severity in heavy cannabis users. Tensor independent component analysis was used to investigate differences in working-memory network function between 32 heavy cannabis users and 41 nonusing controls during an N-back working-memory task. In addition, associations were examined between working-memory network function and cannabis use and problem severity at baseline and at 6-month follow-up. Behavioral performance and working-memory network function did not significantly differ between heavy cannabis users and controls. However, among heavy cannabis users, individual differences in working-memory network response had an independent effect on change in weekly cannabis use 6 months later (ΔR(2) = 0.11, P = 0.006, f(2) = 0.37) beyond baseline cannabis use (ΔR(2) = 0.41) and a behavioral measure of approach bias (ΔR(2) = 0.18): a stronger network response during the N-back task was related to an increase in weekly cannabis use. These findings imply that heavy cannabis users requiring greater effort to accurately complete an N-back working-memory task have a higher probability of escalating cannabis use. Working-memory network function may be a biomarker for the prediction of course and treatment outcome in cannabis users.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Mexico 1 <1%
Brazil 1 <1%
Iran, Islamic Republic of 1 <1%
Argentina 1 <1%
Unknown 101 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Researcher 18 17%
Student > Master 17 16%
Student > Bachelor 14 13%
Other 7 7%
Other 31 29%
Readers by discipline Count As %
Psychology 44 41%
Unspecified 14 13%
Medicine and Dentistry 14 13%
Neuroscience 13 12%
Agricultural and Biological Sciences 8 7%
Other 14 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 September 2013.
All research outputs
#1,566,902
of 8,383,488 outputs
Outputs from Human Brain Mapping
#607
of 1,999 outputs
Outputs of similar age
#25,760
of 138,719 outputs
Outputs of similar age from Human Brain Mapping
#3
of 13 outputs
Altmetric has tracked 8,383,488 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,999 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 69% 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 138,719 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 81% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.