Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-11096
For citation please use:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGenauck, Alexander-
dc.contributor.authorMatthis, Caroline-
dc.contributor.authorAndrejevic, Milan-
dc.contributor.authorBallon, Lukas-
dc.contributor.authorChiarello, Francesca-
dc.contributor.authorDuecker, Katharina-
dc.contributor.authorHeinz, Andreas-
dc.contributor.authorKathmann, Norbert-
dc.contributor.authorRomanczuk‐Seiferth, Nina-
dc.date.accessioned2020-12-17T07:27:10Z-
dc.date.available2020-12-17T07:27:10Z-
dc.date.issued2020-08-05-
dc.identifier.issn1355-6215-
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/12221-
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-11096-
dc.description.abstractIn addiction, there are few human studies on the neural basis of cue‐induced changes in value‐based decision making (Pavlovian‐to‐instrumental transfer, PIT). It is especially unclear whether neural alterations related to PIT are due to the physiological effects of substance abuse or rather related to learning processes and/or other etiological factors related to addiction. We have thus investigated whether neural activation patterns during a PIT task help to distinguish subjects with gambling disorder (GD), a nonsubstance‐based addiction, from healthy controls (HCs). Thirty GD and 30 HC subjects completed an affective decision‐making task in a functional magnetic resonance imaging (fMRI) scanner. Gambling‐associated and other emotional cues were shown in the background during the task. Data collection and feature modeling focused on a network of nucleus accumbens (NAcc), amygdala, and orbitofrontal cortex (OFC) (derived from PIT and substance use disorder [SUD] studies). We built and tested a linear classifier based on these multivariate neural PIT signatures. GD subjects showed stronger PIT than HC subjects. Classification based on neural PIT signatures yielded a significant area under the receiver operating curve (AUC‐ROC) (0.70, p = 0.013). GD subjects showed stronger PIT‐related functional connectivity between NAcc and amygdala elicited by gambling cues, as well as between amygdala and OFC elicited by negative and positive cues. HC and GD subjects were thus distinguishable by PIT‐related neural signatures including amygdala–NAcc–OFC functional connectivity. Neural PIT alterations in addictive disorders might not depend on the physiological effect of a substance of abuse but on related learning processes or even innate neural traits.en
dc.description.sponsorshipDFG, 103586207, GRK 1589: Verarbeitung sensorischer Informationen in neuronalen Systemenen
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.otherdecision makingen
dc.subject.otherfMRIen
dc.subject.othergambling disorderen
dc.subject.otherPavlovian‐to‐instrumental transferen
dc.titleNeural correlates of cue‐induced changes in decision‐making distinguish subjects with gambling disorder from healthy controlsen
dc.typeArticleen
dc.date.updated2020-12-07T16:22:42Z-
tub.accessrights.dnbfreeen
tub.publisher.universityorinstitutionTechnische Universität Berlinen
dc.identifier.eissn1369-1600-
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1111/adb.12951en
dcterms.bibliographicCitation.journaltitleAddiction Biologyen
dcterms.bibliographicCitation.originalpublisherplaceNew York, NYen
dcterms.bibliographicCitation.originalpublishernameWileyen
dcterms.bibliographicCitation.articlenumbere12951en
Appears in Collections:FG Neuronale Informationsverarbeitung » Publications

Files in This Item:
ADB_ADB12951.pdf
Format: Adobe PDF | Size: 2.72 MB
DownloadShow Preview
Thumbnail

Item Export Bar

This item is licensed under a Creative Commons License Creative Commons