Cue Reactivity in the Ventral Striatum Characterizes Heavy Cannabis Use, Whereas Reactivity in the Dorsal Striatum Mediates Dependent Use.


Journal

Biological psychiatry. Cognitive neuroscience and neuroimaging
ISSN: 2451-9030
Titre abrégé: Biol Psychiatry Cogn Neurosci Neuroimaging
Pays: United States
ID NLM: 101671285

Informations de publication

Date de publication:
08 2019
Historique:
received: 10 01 2019
revised: 22 03 2019
accepted: 08 04 2019
pubmed: 18 6 2019
medline: 28 3 2020
entrez: 18 6 2019
Statut: ppublish

Résumé

Animal models of addiction suggest that the transition from incentive-driven drug use to habitual and ultimately compulsive drug use is mediated by a shift from ventral to dorsal striatal cue control over drug seeking. Previous studies in human cannabis users reported elevated trait impulsivity and neural cue reactivity in striatal circuits; however, these studies were not able to separate addiction-related from exposure-related adaptations. To differentiate the adaptive changes, the current functional magnetic resonance imaging study examined behavioral and neural cue reactivity in dependent (n = 18) and nondependent (n = 20) heavy cannabis users and a nonusing reference group (n = 44). Irrespective of dependence status, cannabis users demonstrated elevated trait impulsivity as well as increased ventral striatal reactivity and striatal frontal coupling in response to drug cues. Dependent users selectively exhibited dorsal striatal reactivity and decreased striatal limbic coupling during cue exposure. An exploratory analysis revealed that higher ventral caudate neural cue reactivity was associated with stronger cue-induced arousal and craving in dependent users, whereas this pattern was reversed in nondependent users. Taken together, the current findings suggest that exaggerated responses of the ventral striatal reward system may promote excessive drug use in humans, whereas adaptations in dorsal striatal systems engaged in habit formation may promote the transition to addictive use.

Sections du résumé

BACKGROUND
Animal models of addiction suggest that the transition from incentive-driven drug use to habitual and ultimately compulsive drug use is mediated by a shift from ventral to dorsal striatal cue control over drug seeking. Previous studies in human cannabis users reported elevated trait impulsivity and neural cue reactivity in striatal circuits; however, these studies were not able to separate addiction-related from exposure-related adaptations.
METHODS
To differentiate the adaptive changes, the current functional magnetic resonance imaging study examined behavioral and neural cue reactivity in dependent (n = 18) and nondependent (n = 20) heavy cannabis users and a nonusing reference group (n = 44).
RESULTS
Irrespective of dependence status, cannabis users demonstrated elevated trait impulsivity as well as increased ventral striatal reactivity and striatal frontal coupling in response to drug cues. Dependent users selectively exhibited dorsal striatal reactivity and decreased striatal limbic coupling during cue exposure. An exploratory analysis revealed that higher ventral caudate neural cue reactivity was associated with stronger cue-induced arousal and craving in dependent users, whereas this pattern was reversed in nondependent users.
CONCLUSIONS
Taken together, the current findings suggest that exaggerated responses of the ventral striatal reward system may promote excessive drug use in humans, whereas adaptations in dorsal striatal systems engaged in habit formation may promote the transition to addictive use.

Identifiants

pubmed: 31204249
pii: S2451-9022(19)30102-8
doi: 10.1016/j.bpsc.2019.04.006
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

751-762

Informations de copyright

Copyright © 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Auteurs

Xinqi Zhou (X)

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

Kaeli Zimmermann (K)

Division of Medical Psychology, Department of Psychiatry, University of Bonn, Bonn, Germany.

Fei Xin (F)

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

Weihua Zhao (W)

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

Roelinka T Derckx (RT)

Division of Medical Psychology, Department of Psychiatry, University of Bonn, Bonn, Germany.

Anja Sassmannshausen (A)

Division of Medical Psychology, Department of Psychiatry, University of Bonn, Bonn, Germany.

Dirk Scheele (D)

Division of Medical Psychology, Department of Psychiatry, University of Bonn, Bonn, Germany.

Rene Hurlemann (R)

Division of Medical Psychology, Department of Psychiatry, University of Bonn, Bonn, Germany.

Bernd Weber (B)

Center for Economics and Neuroscience, Department of Epileptology, University of Bonn, Bonn, Germany; Department of Neurocognition, Life & Brain Center, Bonn, Germany.

Keith M Kendrick (KM)

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

Benjamin Becker (B)

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China. Electronic address: ben_becker@gmx.de.

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