@article{GarbusowSchadSeboldetal.2016,
  author    = {Garbusow, Maria and Schad, Daniel and Sebold, Miriam Hannah and Friedel, Eva and Bernhardt, Nadine and Koch, Stefan P. and Steinacher, Bruno and Kathmann, Norbert and Geurts, Dirk E. M. and Sommer, Christian and Mueller, Dirk K. and Nebe, Stephan and Paul, Soeren and Wittchen, Hans-Ulrich and Zimmermann, Ulrich S. and Walter, Henrik and Smolka, Michael N. and Sterzer, Philipp and Rapp, Michael Armin and Huys, Quentin J. M. and Schlagenhauf, Florian and Heinz, Andreas},
  title     = {Pavlovian-to-instrumental transfer effects in the nucleus accumbens relate to relapse in alcohol dependence},
  series = {Addiction biology},
  volume    = {21},
  journal   = {Addiction biology},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {1355-6215},
  doi       = {10.1111/adb.12243},
  pages     = {719 -- 731},
  year      = {2016},
  abstract  = {In detoxified alcohol-dependent patients, alcohol-related stimuli can promote relapse. However, to date, the mechanisms by which contextual stimuli promote relapse have not been elucidated in detail. One hypothesis is that such contextual stimuli directly stimulate the motivation to drink via associated brain regions like the ventral striatum and thus promote alcohol seeking, intake and relapse. Pavlovian-to-Instrumental-Transfer (PIT) may be one of those behavioral phenomena contributing to relapse, capturing how Pavlovian conditioned (contextual) cues determine instrumental behavior (e.g. alcohol seeking and intake). We used a PIT paradigm during functional magnetic resonance imaging to examine the effects of classically conditioned Pavlovian stimuli on instrumental choices in n=31 detoxified patients diagnosed with alcohol dependence and n=24 healthy controls matched for age and gender. Patients were followed up over a period of 3 months. We observed that (1) there was a significant behavioral PIT effect for all participants, which was significantly more pronounced in alcohol-dependent patients; (2) PIT was significantly associated with blood oxygen level-dependent (BOLD) signals in the nucleus accumbens (NAcc) in subsequent relapsers only; and (3) PIT-related NAcc activation was associated with, and predictive of, critical outcomes (amount of alcohol intake and relapse during a 3 months follow-up period) in alcohol-dependent patients. These observations show for the first time that PIT-related BOLD signals, as a measure of the influence of Pavlovian cues on instrumental behavior, predict alcohol intake and relapse in alcohol dependence.},
  language  = {en}
}
@phdthesis{Friedel2016,
  author    = {Friedel, Eva},
  title     = {Der Einfluss von Kognition und Stresserleben auf die Entscheidungsfindung und deren Rolle f{\"u}r Alkoholabh{\"a}ngigkeit},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-91609},
  school      = {Universit{\"a}t Potsdam},
  pages     = {41},
  year      = {2016},
  abstract  = {Ziel der vorliegenden Arbeit ist es, belohnungsabh{\"a}ngiges (instrumentelles) Lernen und Entscheidungsfindungsprozesse auf Verhaltens- und neuronaler Ebene in Abh{\"a}ngigkeit von chronischem Stresserleben (erfasst {\"u}ber den Lifetime Stress Inventory, Holmes und Rahe 1962) und kognitiven Variablen (eingeteilt in eine fluide und eine kristalline Intelligenzkomponente) an gesunden Probanden zu untersuchen. Dabei steht zu Beginn die Sicherung der Konstruktvalidit{\"a}t zwischen den bislang oft synonym verwendeten Begriffen modellfrei ~ habituell, bzw. modellbasiert ~ zielgerichtet im Fokus. Darauf aufbauend soll dann insbesondere der differentielle und interaktionelle Einfluss von chronischem Stresserleben und kognitiven Variablen auf Entscheidungsprozesse (instrumentelles Lernen) und deren neuronales Korrelat im VS untersucht und dargestellt werden. Abschließend wird die Relevanz der untersuchten belohnungsabh{\"a}ngigen Lernprozesse f{\"u}r die Entstehung und Aufrechterhaltung der Alkoholabh{\"a}ngigkeit zusammen mit weiteren Einflussvariablen in einem {\"U}bersichtspapier diskutiert.},
  language  = {de}
}