Ps

Smoking cues and interference

Date
May 14, 2020
Time
5:00 PM - 5:30 PM
Speaker
Dr. Raoul Dieterich
Affiliation
TU Dresden, Professur für Suchtforschung
Series
TUD NIC Kolloquium
Language
en
Main Topic
Psychologie
Description
Substance cues (e.g. pictures of drug use) make an important contribution to low abstinence rates of drug users by triggering strong craving or habitual behavioral tendencies. Among other things, a strong neuronal response to substance cues is a predictor of high consumption and relapse probability. One possible mechanism is that the processing of substance cues interferes with the implementation and maintenance of self-regulation and goal-directed behavior. The aim of the study is therefore to investigate to what extent substance cues (cigarette pictures) influence the performance of smokers in two tasks (working memory and behavioral inhibition) and to identify the neuronal correlates of this process. It is assumed that the presentation of substance cues versus neutral images leads to impaired performance in these tasks, which is associated with an increase in the activity of subcortical (e.g. ventral striatum, amygdala) and a decrease of frontal (e.g. dorsolateral prefrontal cortex, inferior frontal gyrus) brain regions.
Links

Last modified: May 4, 2020, 11:21:33 AM

Location

Andere

Organizer

Neuroimaging CentreChemnitzer Str.46a01187Dresden
Phone
+49 351 463 42063
Fax
+49 351 463 42438
E-Mail
NIC
Homepage
http://www.nic-tud.de
Scan this code with your smartphone and get directly this event in your calendar. Increase the image size by clicking on the QR-Code if you have problems to scan it.
  • BiBiology
  • ChChemistry
  • CiCivil Eng., Architecture
  • CoComputer Science
  • EcEconomics
  • ElElectrical and Computer Eng.
  • EnEnvironmental Sciences
  • Sfor Pupils
  • LaLaw
  • CuLinguistics, Literature and Culture
  • MtMaterials
  • MaMathematics
  • McMechanical Engineering
  • MeMedicine
  • PhPhysics
  • PsPsychology
  • SoSociety, Philosophy, Education
  • SpSpin-off/Transfer
  • TrTraffic
  • TgTraining
  • WlWelcome