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Abstract
There are a number of traits that are thought to increase susceptibility to addiction, and some of these are modeled in preclinical studies. For example, “sensation-seeking” is predictive of the initial propensity to take drugs; whereas “novelty-seeking” predicts compulsive drug-seeking behavior. In addition, the propensity to attribute incentive salience to reward cues can predict the propensity to approach drug cues, and reinstatement or relapse, even after relatively brief periods of drug exposure. The question addressed here is the extent to which these three ‘vulnerability factors’ are related; that is, predictive of one another. Some relationships have been reported in small samples, but here a large sample of 1,598 outbred male and female heterogeneous stock rats were screened for Pavlovian conditioned approach behavior (to obtain an index of incentive salience attribution; ‘sign-tracking’), and subsequently tested for sensation-seeking and novelty-seeking. Despite the large N there were no significant correlations between these traits, in either males or females. There were, however, novel relationships between multiple measures of incentive salience attribution and, based on these findings, we generated a new metric that captures “incentive value”. Furthermore, there were sex differences on measures of incentive salience attribution and sensation-seeking behavior that were not previously apparent.
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Details
1 University of Michigan, Department of Psychology, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370)
2 Medical College of Wisconsin, Department of Medicine, Milwaukee, USA (GRID:grid.30760.32) (ISNI:0000 0001 2111 8460)
3 University of California San Diego, Department of Psychiatry and Institute for Genomic Medicine, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242)
4 Wake Forest School of Medicine, Department of Internal Medicine, Molecular Medicine, Center on Diabetes, Obesity and Metabolism, Winston-Salem, USA (GRID:grid.241167.7) (ISNI:0000 0001 2185 3318)
5 University of Michigan, Department of Psychiatry, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370); University of Michigan, Molecular and Behavioral Neuroscience Institute, Ann Arbor, USA (GRID:grid.214458.e) (ISNI:0000000086837370)