Cocaine use severity and cerebellar gray matter are associated with reversal learning deficits in cocaine-dependent individuals
Cocaine addiction involves persistent deficits to unlearn previously rewarded response options, potentially due to neuroadaptations in learning‐sensitive regions. Cocaine‐targeted prefrontal systems have been consistently associated with reinforcement learning and reversal deficits, but more recent...
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Published in | Addiction biology Vol. 20; no. 3; pp. 546 - 556 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Blackwell Publishing Ltd
01.05.2015
John Wiley & Sons, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Cocaine addiction involves persistent deficits to unlearn previously rewarded response options, potentially due to neuroadaptations in learning‐sensitive regions. Cocaine‐targeted prefrontal systems have been consistently associated with reinforcement learning and reversal deficits, but more recent interspecies research has raised awareness about the contribution of the cerebellum to cocaine addiction and reversal. We aimed at investigating the link between cocaine use, reversal learning and prefrontal, insula and cerebellar gray matter in cocaine‐dependent individuals (CDIs) varying on levels of cocaine exposure in comparison with healthy controls (HCs). Twenty CDIs and 21 HCs performed a probabilistic reversal learning task (PRLT) and were subsequently scanned in a 3‐Tesla magnetic resonance imaging scanner. In the PRLT, subjects progressively learn to respond to one predominantly reinforced stimulus, and then must learn to respond according to the opposite, previously irrelevant, stimulus‐reward pairing. Performance measures were errors after reversal (reversal cost), and probability of maintaining response after errors. Voxel‐based morphometry was conducted to investigate the association between gray matter volume in the regions of interest and cocaine use and PRLT performance. Severity of cocaine use correlated with gray matter volume reduction in the left cerebellum (lobule VIII), while greater reversal cost was correlated with gray matter volume reduction in a partially overlapping cluster (lobules VIIb and VIII). Right insula/inferior frontal gyrus correlated with probability of maintaining response after errors. Severity of cocaine use detrimentally impacted reversal learning and cerebellar gray matter.
Perseveration after negative feedback ‐when punishment prevails over reward‐ is a central aspect of cocaine addiction. This study examined whether frontal cortical, insular and cerebellar gray matter volumes are associated with severity of cocaine use and behavioral perseveration among individuals with cocaine dependence. We show that severity of cocaine use is dosage‐dependently negatively associated with gray matter volumes in the cerebellum. Further, the gray matter volume of a partially overlapping cerebellar cluster is negatively associated with perseveration after negative feedback. Right insular volumes correlated with a behavioral measure of feedback tracking. These findings highlight an important role of the cerebellum on perseverative behavior in cocaine addiction. |
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Bibliography: | Figure S1 Scatterplot (left) and cluster (right) of correlation between IFG gray matter volume and severity of cocaine use in cocaine-dependent individuals. Peak coordinates were located in the right IFG (peak at x, y, z = 50, 41, −6; t = 3.33; P < .005 uncorrected). Results are overlaid on axial and sagittal sections of a normalized brain, and the numbers correspond to the 'z' and 'x' coordinates in MNI space Carlos III Health Institute - No. CP10/00604 Ministerio de Ciencia e Innovación, MICINN - No. PSI2009-13133 ark:/67375/WNG-VHHMJXHS-Q istex:F3C3C33500F78C2127AB40104DBED63F923018EB ArticleID:ADB12143 Plan Nacional Sobre Drogas-Ministerio de Sanidad y Consumo ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1355-6215 1369-1600 1369-1600 |
DOI: | 10.1111/adb.12143 |