Cue-induced effects on decision-making distinguish subjects with gambling disorder from healthy controls
| Autor: | Nina Romanczuk-Seiferth, Katharina Brehm, Caroline Matthis, André Weinreich, Milan Andrejevic, Andreas Heinz, Norbert Kathmann, Alexander Genauck |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Male medicine.medical_specialty media_common.quotation_subject Decision Making Medicine (miscellaneous) Audiology loss aversion 03 medical and health sciences 0302 clinical medicine ddc:150 Loss aversion Pavlovian‐to‐instrumental transfer Surveys and Questionnaires Healthy control medicine Humans ddc:610 Pavlovian-to-instrumental transfer media_common Pharmacology Substance dependence Receiver operating characteristic Addiction Carve out gambling disorder decision-making medicine.disease 030227 psychiatry Behavior Addictive Psychiatry and Mental health 150 Psychologie Gambling Gambling disorder Female decision‐making Cues Psychology 030217 neurology & neurosurgery 600 Technik Medizin angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit |
| Zdroj: | Addiction biologyREFERENCES. 25(6) |
| ISSN: | 1369-1600 |
| Popis: | While an increased impact of cues on decision‐making has been associated with substance dependence, it is yet unclear whether this is also a phenotype of non‐substance‐related addictive disorders, such as gambling disorder (GD). To better understand the basic mechanisms of impaired decision‐making in addiction, we investigated whether cue‐induced changes in decision‐making could distinguish GD from healthy control (HC) subjects. We expected that cue‐induced changes in gamble acceptance and specifically in loss aversion would distinguish GD from HC subjects. Thirty GD subjects and 30 matched HC subjects completed a mixed gambles task where gambling and other emotional cues were shown in the background. We used machine learning to carve out the importance of cue dependency of decision‐making and of loss aversion for distinguishing GD from HC subjects. Cross‐validated classification yielded an area under the receiver operating curve (AUC‐ROC) of 68.9% (p = .002). Applying the classifier to an independent sample yielded an AUC‐ROC of 65.0% (p = .047). As expected, the classifier used cue‐induced changes in gamble acceptance to distinguish GD from HC. Especially, increased gambling during the presentation of gambling cues characterized GD subjects. However, cue‐induced changes in loss aversion were irrelevant for distinguishing GD from HC subjects. To our knowledge, this is the first study to investigate the classificatory power of addiction‐relevant behavioral task parameters when distinguishing GD from HC subjects. The results indicate that cue‐induced changes in decision‐making are a characteristic feature of addictive disorders, independent of a substance of abuse Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659 Senatsverwaltung für Gesundheit, Pflege und Gleichstellung, Berlin |
| Databáze: | OpenAIRE |
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