Computational & Dimensional Psychiatry Approaches to Investigate Decision-Making in Disorders of Compulsivity and their Risk Factors

Datum

29.06.2017

Zeit

16:00 - 17:00

Sprecher

Dr. Andrea Reiter

Zugehörigkeit

TU Dresden, Professur für Entwicklungspsy­chologie und Neurowissen­schaft der Lebensspanne

Serie

TUD NIC Kolloquium

Sprache

en

Hauptthema

Psychologie

Andere Themen

Psychologie

Beschreibung

Maladaptive decision-making is a core characteristic of many psychiatric disorders, with addiction and eating disorders as prominent examples. Within the larger agenda of computational psychiatry, models of decision-making could potentially have strong clinical impact: first, improving differential diagnosis by addressing clinical heterogeneity within and across symptom-based diagnoses; second, enhancing outcome prediction and thereby enabling specific treatment allocation. In a series of studies, we investigated decision-making based on two recently developing research paradigms: (1) Dimensional Psychiatry: First, we asked whether risk factors for addiction in healthy individuals (impulsivity, family history, stress) are accompanied by similar reductions in flexible goal-directed control as in patients. Second, flexible goal-directed decision-making of alcohol-dependent patients was investigated compared to healthy controls and the same study design was extended towards patients suffering from Binge Eating Disorder, a so-called “addiction-like” disorder characterized by the loss of control over eating behavior. (2) Computational Psychiatry: all presented work involves Reinforcement Learning modeling of behavior, also in combination with functional neuroimaging. I would like to discuss further possible avenues for fine-graining our understanding of disrupted decision-making in compulsive disorders, as well as implications of the results for the definition of biologically-informed patient subgroups and for the guidance of prevention and treatment strategies.

Links

• Livestream

Letztmalig verändert: 16.06.2017, 16:32:55