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UID:DSC-13050
DTSTART;TZID=Europe/Berlin:20170629T160000
SEQUENCE:1497623575
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20170629T170000
URL:https://www.dresden-science-calendar.de/calendar/en/detail/13050
LOCATION:TUD Falkenbrunnen\,  01187 Dresden
SUMMARY:Reiter: Computational & Dimensional Psychiatry Approaches to Invest
 igate Decision-Making in Disorders of Compulsivity and their Risk Factors
CLASS:PUBLIC
DESCRIPTION:Speaker: Dr. Andrea Reiter\nInstitute of Speaker: TU Dresden\, 
 Professur für Entwicklungspsy­chologie und Neurowissen­schaft der Leben
 sspanne\nTopics:\nPsychologie\n Location:\n  Name: TUD Falkenbrunnen (FAL 
 157\, Chemnitzer Str. 46b)\n  Street:  \n  City: 01187 Dresden\n  Phone: \
 n  Fax: \nDescription: Maladaptive decision-making is a core characteristi
 c of many psychiatric disorders\, with addiction and eating disorders as p
 rominent examples. Within the larger agenda of computational psychiatry\, 
 models of decision-making could potentially have strong clinical impact: f
 irst\, improving differential diagnosis by addressing clinical heterogenei
 ty within and across symptom-based diagnoses\; second\, enhancing outcome 
 prediction and thereby enabling specific treatment allocation.   In a seri
 es of studies\, we investigated decision-making based on two recently deve
 loping research paradigms: (1) Dimensional Psychiatry: First\, we asked wh
 ether risk factors for addiction in healthy individuals (impulsivity\, fam
 ily history\, stress) are accompanied by similar reductions in flexible go
 al-directed control as in patients. Second\, flexible goal-directed decisi
 on-making of alcohol-dependent patients was investigated compared to healt
 hy controls and the same study design was extended towards patients suffer
 ing from Binge Eating Disorder\, a so-called “addiction-like” disorder
  characterized by the loss of control over eating behavior. (2) Computatio
 nal Psychiatry: all presented work involves Reinforcement Learning modelin
 g of behavior\, also in combination with functional neuroimaging.  I would
  like to discuss further possible avenues for fine-graining our understand
 ing of disrupted decision-making in compulsive disorders\, as well as impl
 ications of the results for the definition of biologically-informed patien
 t subgroups and for the guidance of prevention and treatment strategies. 
DTSTAMP:20260916T010602Z
CREATED:20170609T152055Z
LAST-MODIFIED:20170616T143255Z
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