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Automatic aspects of response selection remain unchanged during high-dose alcohol intoxication

Ann Kathrin Stock*, Wiebke Bensmann, Nicolas Zink, Alexander Münchau, Christian Beste

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Regular binge-drinking increases the risk of developing alcohol use disorder (AUD) and induces similar acute effects on behavioral control, particularly in case of response selection conflicts. No such effects have been reported for automatic/bottom-up response selection, even though AUD alters automaticity. However, it has never been reliably tested whether this domain is truly unchanged during high-dose alcohol intoxication. To investigate this question with the help of Bayesian analyses, we subjected n=31 young healthy male participants to a within-subject design, where each participant was tested twice in a counter-balanced order (ie, once sober and once intoxicated at 1.1‰). On each appointment, the participants performed the S-R paradigm, which assesses automatic stimulus-response (S-R) binding within the framework of the theory of event coding (TEC). In short, the TEC states that stimulus features and responses become encoded in an event file when they occur simultaneously. These event files will be reactivated by any matching stimulus feature, thus facilitating the encoded response (and hampering different responses). Alcohol led to a general decrease in behavioral performance, as demonstrated by significant main effects of intoxication status on accuracy and response times (all P ≤.009). We also reproduced typical task effects, but did not find any significant interactions with the intoxication factor (all P ≥.099). The latter was further substantiated by Bayesian analyses providing positive to strong evidence for the null hypothesis. Taken together, our results demonstrate that even high-dose alcohol intoxication does not impair automatic response selection/S-R associations.

OriginalspracheEnglisch
Aufsatznummere12852
ZeitschriftAddiction Biology
ISSN1355-6215
DOIs
PublikationsstatusVeröffentlicht - 10.12.2019

Fördermittel

This work was supported by the Deutsche Forschungsgemeinschaft (DFG) TRR 265 B07 and FOR 2698.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 10 – Weniger Ungleichheiten
    SDG 10 – Weniger Ungleichheiten

Strategische Forschungsbereiche und Zentren

  • Forschungsschwerpunkt: Gehirn, Hormone, Verhalten - Center for Brain, Behavior and Metabolism (CBBM)

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