↓ Skip to main content

Mindfulness Training Targets Neurocognitive Mechanisms of Addiction at the Attention-Appraisal-Emotion Interface

Overview of attention for article published in Frontiers in Psychiatry, January 2014
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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
12 X users
facebook
3 Facebook pages
wikipedia
21 Wikipedia pages
googleplus
4 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
158 Dimensions

Readers on

mendeley
389 Mendeley
citeulike
1 CiteULike
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
Mindfulness Training Targets Neurocognitive Mechanisms of Addiction at the Attention-Appraisal-Emotion Interface
Published in
Frontiers in Psychiatry, January 2014
DOI 10.3389/fpsyt.2013.00173
Pubmed ID
Authors

Eric L. Garland, Brett Froeliger, Matthew O. Howard

Abstract

Prominent neuroscience models suggest that addictive behavior occurs when environmental stressors and drug-relevant cues activate a cycle of cognitive, affective, and psychophysiological mechanisms, including dysregulated interactions between bottom-up and top-down neural processes, that compel the user to seek out and use drugs. Mindfulness-based interventions (MBIs) target pathogenic mechanisms of the risk chain linking stress and addiction. This review describes how MBIs may target neurocognitive mechanisms of addiction at the attention-appraisal-emotion interface. Empirical evidence is presented suggesting that MBIs ameliorate addiction by enhancing cognitive regulation of a number of key processes, including: clarifying cognitive appraisal and modulating negative emotions to reduce perseverative cognition and emotional arousal; enhancing metacognitive awareness to regulate drug-use action schema and decrease addiction attentional bias; promoting extinction learning to uncouple drug-use triggers from conditioned appetitive responses; reducing cue-reactivity and increasing cognitive control over craving; attenuating physiological stress reactivity through parasympathetic activation; and increasing savoring to restore natural reward processing. Treatment and research implications of our neurocognitive framework are presented. We conclude by offering a temporally sequenced description of neurocognitive processes targeted by MBIs through a hypothetical case study. Our neurocognitive framework has implications for the optimization of addiction treatment with MBIs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 389 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Canada 2 <1%
Iran, Islamic Republic of 2 <1%
Spain 2 <1%
Netherlands 1 <1%
Ireland 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Chile 1 <1%
Other 4 1%
Unknown 372 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 60 15%
Student > Ph. D. Student 56 14%
Researcher 51 13%
Student > Bachelor 39 10%
Student > Doctoral Student 35 9%
Other 79 20%
Unknown 69 18%
Readers by discipline Count As %
Psychology 155 40%
Medicine and Dentistry 36 9%
Neuroscience 25 6%
Social Sciences 17 4%
Engineering 10 3%
Other 53 14%
Unknown 93 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 06 April 2024.
All research outputs
#1,746,172
of 23,578,918 outputs
Outputs from Frontiers in Psychiatry
#953
of 10,716 outputs
Outputs of similar age
#20,723
of 308,540 outputs
Outputs of similar age from Frontiers in Psychiatry
#6
of 28 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,716 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done particularly well, scoring higher than 91% 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 308,540 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 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.