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When Habits Are Dangerous: Alcohol Expectancies and Habitual Decision Making Predict Relapse in Alcohol Dependence

Overview of attention for article published in Biological Psychiatry, May 2017
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Title
When Habits Are Dangerous: Alcohol Expectancies and Habitual Decision Making Predict Relapse in Alcohol Dependence
Published in
Biological Psychiatry, May 2017
DOI 10.1016/j.biopsych.2017.04.019
Pubmed ID
Authors

Miriam Sebold, Stephan Nebe, Maria Garbusow, Matthias Guggenmos, Daniel J. Schad, Anne Beck, Soeren Kuitunen-Paul, Christian Sommer, Robin Frank, Peter Neu, Ulrich S. Zimmermann, Michael A. Rapp, Michael N. Smolka, Quentin J.M. Huys, Florian Schlagenhauf, Andreas Heinz

Abstract

Addiction is supposedly characterized by a shift from goal-directed to habitual decision making, thus facilitating automatic drug intake. The two-step task allows distinguishing between these mechanisms by computationally modeling goal-directed and habitual behavior as model-based and model-free control. In addicted patients, decision making may also strongly depend upon drug-associated expectations. Therefore, we investigated model-based versus model-free decision making and its neural correlates as well as alcohol expectancies in alcohol-dependent patients and healthy controls and assessed treatment outcome in patients. Ninety detoxified, medication-free, alcohol-dependent patients and 96 age- and gender-matched control subjects underwent functional magnetic resonance imaging during the two-step task. Alcohol expectancies were measured with the Alcohol Expectancy Questionnaire. Over a follow-up period of 48 weeks, 37 patients remained abstinent and 53 patients relapsed as indicated by the Alcohol Timeline Followback method. Patients who relapsed displayed reduced medial prefrontal cortex activation during model-based decision making. Furthermore, high alcohol expectancies were associated with low model-based control in relapsers, while the opposite was observed in abstainers and healthy control subjects. However, reduced model-based control per se was not associated with subsequent relapse. These findings suggest that poor treatment outcome in alcohol dependence does not simply result from a shift from model-based to model-free control but is instead dependent on the interaction between high drug expectancies and low model-based decision making. Reduced model-based medial prefrontal cortex signatures in those who relapse point to a neural correlate of relapse risk. These observations suggest that therapeutic interventions should target subjective alcohol expectancies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 23%
Researcher 28 15%
Student > Bachelor 18 10%
Student > Master 15 8%
Student > Doctoral Student 10 5%
Other 29 16%
Unknown 42 23%
Readers by discipline Count As %
Psychology 60 32%
Neuroscience 26 14%
Medicine and Dentistry 16 9%
Social Sciences 7 4%
Nursing and Health Professions 4 2%
Other 14 8%
Unknown 58 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 February 2020.
All research outputs
#15,742,933
of 25,382,440 outputs
Outputs from Biological Psychiatry
#4,841
of 6,598 outputs
Outputs of similar age
#180,419
of 327,324 outputs
Outputs of similar age from Biological Psychiatry
#79
of 136 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,598 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one is in the 25th percentile – i.e., 25% 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 327,324 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.