Impulsive decision-making predicts the course of substance-related and addictive disorders

Kräplin, Anja

Impulsive decision-making predicts the course of substance-related and addictive disorders

datacite.FundingReference.funderName datacite.FundingReference.funderName	Deutsche Forschungsgemeinschaft
datacite.description.SeriesInformation datacite.description.SeriesInformation	Data were collected as part of a prospective-longitudinal community study within the Collaborative Research Centre (SFB 940) at the Technische Universität Dresden, Germany. To recruit a representative baseline sample from metropolitan Dresden, individuals aged from 20 to 26 were randomly sampled from the registration office files of Dresden from 2013 to 2016. After providing informed consent, participants completed personality questionnaires and participated in four different test sessions. For this paper, we included clinical data and data on impulsive decision-making from the baseline assessment and clinical data from the first follow-up assessment after one year.
Documentation of the data datacite.description.TechnicalInfo	Methods: (1) SAD severity: standardized clinical interviews for symptoms of substance-related and gambling disorders according to the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders [DSM-5] or of addictive disorders related to shopping, Internet use or gaming assessed according to adapted criteria from DSM-5 SUD. (2) impulsive decision-making: behavioural experiments presented with the Psychophysics Toolbox in MATLAB R2010a
Countries to which the data refer datacite.geolocation.iso3166	GERMANY
Type of the data datacite.resourceTypeGeneral	Dataset
Type of the data datacite.resourceTypeGeneral	Text
Type of the data datacite.resourceTypeGeneral	Other
Total size of the dataset datacite.size	397596
Author dc.contributor.author	Kräplin, Anja
Upload date dc.date.accessioned	2018-12-06T14:46:20Z
Upload date dc.date.accessioned	2026-05-13T11:08:50Z
Publication date dc.date.available	2018-12-06T14:46:20Z
Publication date dc.date.available	2026-05-13T11:08:50Z
Data of data creation dc.date.created	2013-2017
Publication date dc.date.issued	2018
Abstract of the dataset dc.description.abstract	Data and do-files for the analyses presented in the paper "Impulsive decision-making predicts the course of substance-related and addictive disorders" Aims of the analyses: To test whether impulsive decision-making (1) differs between individuals with substance use disorders (SUD) or non-substance-related addictive disorders (ND) and healthy controls and (2) predicts the course of SUD and ND severity after one year. Design of the study: Baseline and one year follow-up of a prospective-longitudinal community study. Setting of the study: Clinical interviews and behavioural tasks in the laboratory. Participants: 338 individuals between age 20 and 26 were selected from a random sample from the registration office files of Dresden, Germany. Participants fulfilled the criteria for one of three groups: SUD, ND, or healthy controls. After one year, we assessed 313 participants again (93%). Measurements: ND and SUD severity were operationalized with number of DSM-5 symptoms (partly modified for ND) and quantity-frequency indices of use. Four tasks were applied to assess independent facets of impulsive decision-making: 1) delay discounting, 2) risk seeking for gains and 3) for losses, and 4) loss aversion.
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de/handle/123456789/2286
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-22
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-22
dc.language dc.language	eng
Publisher dc.publisher	Technische Universität Dresden
Licence dc.rights	Attribution-NonCommercial 4.0 International
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by-nc/4.0/
Specification of the discipline(s) dc.subject.classification	1::12::110
Title of the dataset dc.title	Impulsive decision-making predicts the course of substance-related and addictive disorders
Software opara.descriptionSoftware.ResourceProcessing	Stata (Version 15.0)
Software opara.descriptionSoftware.ResourceProduction	MATLAB (Version R2010a)
Project abstract opara.project.description	Conflicts between long-term goals (e.g., maintaining health, achieving good grades) and immediate de-sires or strong habits (e.g., to smoke; eat a tasty dessert; to watch TV) are frequent in everyday life. Failures of self-control in such conflict situations are sources of a wide range of harmful behaviors including substance-related and addictive disorders (SAD), which incur immense personal and societal costs. The long-term aim of project C1 is to investigate whether impaired cognitive control, performance-monitoring, value-based decision-making and dysfunctional interactions between the underlying brain systems constitute vulnerability factors and/or mediating mechanisms underlying non-pathological daily self-control fail-ures (SCFs) as well as addictive behaviors. In the first funding period (07/2012-06/2016) project C1 launched a prospective cohort study using a multi-level approach that combines (i) a comprehensive clinical assessment, (ii) be-havioral task batteries assessing cognitive control and decision-making functions, (iii) task-related and resting state fMRI, and (iv) smartphone-based experience sampling of daily SCFs. In the first funding phase, from a representative community sample we recruited three groups of participants (each n = 100; age 20 - 26) with (a) symptoms of non-substance related and (b) substance-related addictive disorders and (c) syndrome-free controls. Hypothesis-driven cross-sectional analyses revealed that reduced error-related activity in brain areas involved in performance-monitoring and salience processing (anterior insu-la; aINS) and inhibitory control (right inferior frontal gyrus; IFG) as well as insufficient modulation of neural value signals in the ventromedial prefrontal cortex (vmPFC) by long-term goals predicted higher prone-ness to daily SCFs. Moreover, reduced conflict-related brain activity in performance-monitoring areas was associated with repeated unsuccessful attempts to quit smoking. These findings are consistent with a working model according to which deficient performance-monitoring, insufficient recruitment of cognitive control networks in response to conflicts or errors, and insufficient top-down modulation of value signals by long-term goals increase proneness to commit daily SCFs and show symptoms of SAD. Based on these encouraging results, in the second funding period project C1 will be expanded into a prospective-longitudinal cohort study with yearly clinical follow-up assessments and continued multi-level as-sessments 3 and 5 years after initial recruitment. This will provide the unique opportunity to examine with a cross-lagged panel design whether daily SCFs and SAD can be predicted by (a) cognitive control com-petencies as derived from latent variable analyses of our task battery and by (b) activity in brain areas involved in performance-monitoring, cognitive control, and value-based decision-making. This will not only allow us to investigate with sufficient statistical power (1) commonalities and differences in cognitive control functions between subgroups of SAD, but also (2) to address the central unresolved question whether cognitive control and performance-monitoring impairments are causally involved in the development of real-life SCFs and SAD.
Project title opara.project.title	Volitional dysfunction in self-control failures and addictive behaviors (C1 project)