Klinische Psychologie und Psychotherapie


PD Dr. Maria Stein

Dozentin, Senior Researcher, Fachpsychologin für Psychotherapie FSP

+41 31 684 54 12
A 314 (3.OG)
Universität Bern
Institut für Psychologie
Fabrikstrasse 8
3012 Bern
Nach Vereinbarung

Web-based Alcoholspecific Inhibition Training in Adolescents and Young Adults with AUD (WAIT-AYA)

The primary aim of WAIT-AYA is to evaluate a newly developed app-based version of alcohol-specific inhibition training. The project WAIT-AYA administers this alcohol-specific inhibition training for the first time as an internet-based intervention (iAlc-IT), thereby increasing its availability and flexible implementation. This double-blind, multicentric clinical pilot RCT I) tests the acceptability, usability, and feasibility of iAlc-IT, II) gathers preliminary insight about its effects on drinking behavior, and III) examines its neurophysiological effects. To this end, 210 young patients with AUD are recruited in online and face-to-face settings in 5 specialized treatment centers and randomly assigned to receive either iAlc-IT or an internet-based active control condition (iCON) in addition to treatment at usual (TAU). The project thus not only informs a future implementation of iAlc-IT as a blended treatment component into routine care for adolescents and young adults with AUD as well as guides the development of future full-scale RCTs on that subject. Furthermore, the neurophysiological knowledge gathered provides important insights into working mechanisms of iAlc-IT, which adds to the scientific anchorage of this intervention and delineates its neuronal working mechanisms.
- Link: WAIT-AYA on Frutiger Webpage


Learning to resist the urge: Inhibition Training in abstinent patients with alcohol use disorder (INTRA)

INTRA investigates the effects of a computerized inhibition training in currently abstinent patients with alcohol use disorder. It examines effects on subjective, behavioral, experimental and neurophysiological level.

More about INTRA: INTRA on SNF database


Using Machine Learning to Predict Treatment Outcome in Alcohol Use Disorder (MLAUD)

Predicting post-treatment symptom trajectories is crucial in order to inform decisions concerning type, intensity, and duration of treatment. A large body of research shows associations between predictors and post-treatment outcomes in samples with alcohol use disorder (AUD), but these models do not provide adequate predictions for an individual patient. Recently, machine learning algorithms have been used to establish predictive models in substance use disorder research. MLAUD aims to expand this research and to investigate how machine learning algorithms can be used to improve individual, post-treatment outcome predictions for patients with AUD.


Neurophysiological correlates of emotional processiong and emotional change (EMOPRO)

EMOPRO traces the neurophysiological correlates of emotional processing before and after a psychotherapeutic intervention targeting the processing of interpersonal pain.


Neurophysiological correlates of Alcohol Addiction (NECAAD)

NECAAD investigates neurophysiological correlates of inhibition and cue reactivity with multi-channel EEG and fMRI in patients with alcohol addiction.


Neurophysiological fingerprint of motivational incongruence (MINK)

The concept of motivational incongruence, as incorporated in Grawes consistency theory, refers to the fact that the experiences we make do not always match our needs and motives. The amount of motivational inconsistency is highly linked to psychological wellbeing and psychopathological symptoms. MINK traces the neurophysiological correlates of this important transdiagnostical concept with multi-channel EEG.

  • Neurophysiological and structural alterations in relation to addiction (with a special focus on alcohol use disorders) as well as their modifiability through computerized trainings

  • Neurophysiological foundation of transdiagnostic, psychotherapeutically relevant constructs such as emotional processing, motivational incongruence or inhibitory capacities as well as their modifiability through psychotherapeutic interventions or computerized trainings.

  • Combining Electroencephalography (EEG), event-related potentials (ERPs) and/or (functional) magnetic resonance imaging (MRI and fMRI) with tailored experimental tasks and/or subjective measures in order to investigate the topics above.