Elsevier

Biological Psychiatry

Volume 82, Issue 11, 1 December 2017, Pages 847-856
Biological Psychiatry

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

https://doi.org/10.1016/j.biopsych.2017.04.019Get rights and content

Abstract

Background

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.

Methods

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.

Results

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.

Conclusions

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.

Section snippets

Participants

All data were collected as part of the Learning and Alcohol Dependence study, a bicentric German study hosted at Universitätsklinikum Dresden/Technische Universität Dresden and Charité–Universitätsmedizin Berlin. Two hundred two subjects (106 alcohol-dependent patients, 96 healthy control subjects [HCs]) completed the two-step task (39) to disentangle habitual from goal-directed decision making and the brief German version of the AEQ (27). Patients fulfilled diagnostic criteria for AD according

Sample Characteristics

Compared to HCs, abstainers and relapsers reported significantly higher symptoms in almost all clinical characteristics, increased deficits in neuropsychological testing, and increased blood parameters related to alcohol consumption (Table 1).

Matching of HCs and alcohol-dependent patients was successful in all variables of interest (gender, school education, smoking status, and age). At baseline, there were no significant differences between abstainers and relapsers, except that the patients in

Discussion

The main findings of our study are 1) a reduction in mPFC activation during model-based behavior in relapsers and that 2) an interaction between alcohol expectancies and goal-directed control distinguishes relapsers from abstainers and HCs. Reductions in goal-directed behavior per se were not significantly associated with AD or relapse. Instead, relapsers had high alcohol expectancies in association with low goal-directed behavior and vice versa, suggesting that the interaction between alcohol

Acknowledgments and Disclosures

This work was supported by the German Research Foundation (Deutsche Forschungsgemeinschaft Forschergruppe 1617 Grant Nos. HE2597/14-1 and HE2597/14-2 [to AH], RA1047/2-1 and RA1047/2-2 [to MAR], SM 80/7-1 and SM 80/7-2 [to MNS], and ZI1119/3-1 and ZI1119/3-2 [to USZ]).

We thank the Learning and Alcohol Dependence study teams in Berlin and Dresden for behavioral and neuroimaging data acquisition and Claudia Haegele, Katharina Scholz, and Anna-Maria Walter for collection of the follow-up data in

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