Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2009 Jun 1.
Published in final edited form as: Brain Res Rev. 2007 Dec 28;58(1):121–135. doi: 10.1016/j.brainresrev.2007.12.003

Behavioral Characteristics and Neurobiological Substrates Shared by Pavlovian Sign-Tracking and Drug Abuse

Arthur Tomie a,*, Kathryn L Grimes a, Larissa A Pohorecky b
PMCID: PMC2582385  NIHMSID: NIHMS59452  PMID: 18234349

Abstract

Drug abuse researchers have noted striking similarities between behaviors elicited by Pavlovian sign-tracking procedures and prominent symptoms of drug abuse. In Pavlovian sign-tracking procedures, repeated paired presentations of a small object (conditioned stimulus, CS) with a reward (unconditioned stimulus, US) elicits a conditioned response (CR) that typically consists of approaching the CS, contacting the CS, and expressing consummatory responses at the CS. Sign-tracking CR performance is poorly controlled and exhibits spontaneous recovery and long-term retention, effects that resemble relapse. Sign-tracking resembles psychomotor activation, a syndrome of behavioral responses evoked by addictive drugs, and the effects of sign-tracking on corticosterone levels and activation of dopamine pathways resemble the neurobiological effects of abused drugs. Finally, the neurobiological profile of individuals susceptible to sign-tracking resembles the pathophysiological profile of vulnerability to drug abuse, and vulnerability to sign-tracking predicts vulnerability to impulsive responding and alcohol self-administration. Implications of sign-tracking for models of drug addiction are considered.

Keywords: Sign-Tracking, Pavlovian, Autoshaping, Drug abuse, Addiction, Salience

1. Introduction

Drug abuse researchers have noted striking similarities between behaviors elicited by Pavlovian sign-tracking (also called "autoshaping") procedures and prominent symptoms of drug abuse (Tomie, 1995a, 1996; Newlin, 2002; Uslaner et al., 2006; Flagel et al., 2007a, b). Moreover, key elements of sign-tracking procedures are likely experienced at the time that drugs are consumed. The traditional Pavlovian sign-tracking procedure consists of the presentation of a small object (conditioned stimulus, CS) that is followed by the response-independent presentation of reward (unconditioned stimulus, US). Crucial to the understanding of sign-tracking, the US is delivered regardless of what the subject does. Repeated CS-US pairings lead to the acquisition of the Pavlovian sign-tracking CR, which is a complex sequence of motor responses directed at the CS (Brown and Jenkins, 1968; for review, see Tomie et al., 1989). Thus, if presentation of a lever CS precedes the response-independent delivery of a food pellet US, rats approach and contact the lever CS, often grasping, licking, and gnawing the lever, as though it were food itself (Davey and Cleland, 1982; Tomie et al., 1989).

Sign-tracking has long been associated with seemingly maladaptive patterns of behavior that are elicited by and directed towards reward-related cues. Remarkably, these behaviors persist even though they serve only to delay or prevent the delivery of the reward, indicating that the sign-tracking CR performance is not under strict voluntary control. In their book, "The Misbehavior of Organisms”, Keller and Marian Breland (1961) described how pairings of an object with reward lead to the development of bizarre and arguably compulsive responding. In a typical example, raccoons were trained to pick up wooden coins and deposit them through a slot into a metal box for a small morsel of crayfish, a highly prized food reward. Though initially things went well, with further training the raccoons began to experience problems. They were unable to let go of the coins, spending several minutes handling them with their forepaws, and dipping the coins into the slot only to pull them out again. In the end, the coins were licked, chewed, scratched and washed, but rarely deposited. This was not the distraction of an animal that has lost interest in eating, because making the raccoon hungrier merely made matters worse. Similar "misbehavior" has been described in squirrel monkeys, pigs, chickens, turkeys, otters, porpoises, and whales (Breland and Breland, 1961, 1966). Numerous investigators have now provided rigorous experimental evidence that sign-tracking CR performance is difficult to control or suppress (Williams and Williams, 1969; Hearst and Jenkins, 1974; Atnip, 1977; Schwartz and Gamzu, 1977; Holland, 1979; Davey et al., 1981; Tomie, 1995b; Killeen, 2003; for review, see Locurto, 1981).

Both sign-tracking and drug abuse may be described as poorly controlled consummatory-like responding that is elicited by and directed at a small object CS that has been repeatedly paired with reward US. In humans, for example, the alcohol abuser exhibits poorly controlled drinking responses that are directed at the cocktail glass CS that has been repeatedly paired with alcohol US, or the cocaine abuser exhibits poorly controlled sniffing responses that are directed at the coke tooter CS that has been repeatedly paired with cocaine US. This section presents evidence of additional similarities in the characteristics of behaviors exhibited by drug abusers that are induced by experience with sign-tracking procedures.

2. Behavioral characteristics

2.1. Relapse-like effects

After sign-tracking CR performance has been acquired, the behavior is not easily forgotten or eliminated, but rather appears to be quite durable and resilient. Evidence that sign-tracking CR performance is well retained is provided by reports that following its acquisition, the mere passing of time without additional training has little or no effect on the performance of sign-tracking CRs (Carr and Murtazina, 1994; Meneses et al., 2004; Tomie et al., 2002c, 2004a). For example, sign-tracking CR performance of alcohol drinking in rats is virtually unchanged following a 27-day retention interval (Tomie et al., 2002c) or following a 41-day retention interval (Tomie et al., 2004a). Maintenance of sign-tracking CR performance of sipper CS-directed alcohol drinking over time, without appreciable decay or deterioration in the performance, is similar to relapse in humans and reinstatement of drug-taking in animals (Kruzich et al., 2001; Stewart, 2004; for review of reinstatement as a model of relapse, see Epstein et al., 2006; Fattore et al., 2007). In each of these cases there is little evidence of loss of responding during the retention interval, even though responding is not practiced during this extended period of time.

Further evidence of the resilience of sign-tracking CRs is provided by reports of spontaneous recovery and rapid reaquisition of sign-tracking CR performance. Spontaneous recovery is observed following a rest interval and after sign-tracking CR performance has been thoroughly eliminated by extended experience with CS-only extinction procedures, during which the subject receives presentations of the CS but no US (Tomie et al., 1980, 1981; Robbins, 1990; Rescorla, 2004, 2005, 2006). Rapid reacquisition is observed following extensive training with response elimination procedures, when responding is rapidly reinstated by simply pairing the CS with the US (Tomie et al., 1980; Tomie and Kruse, 1980; Tomie et al., 1981). Relapse to drug-taking resembles spontaneous recovery and rapid reacquisition of sign-tracking CR performance because even after drug-taking has been thoroughly eliminated, mere exposure to the drug-paired cue or a brief lapse in abstinence, are sufficient to recover pre-elimination levels of drug-taking.

Drug abuse researchers have successfully employed Pavlovian CS-only extinction procedures to extinguish CRs indicative of reactivity to drug cues (for reviews see Tomie, 1995a, 1996). Nevertheless, there are many reports of spontaneous relapse of drug-taking, even though drug cue reactivity had previously been significantly reduced or eliminated by drug cue extinction procedures (Wikler, 1973; Monti et al., 2001; Junghanns et al., 2005; Loeber et al.., 2006), and Hammersley (1992) has attributed relapse to drug-taking following cue extinction therapy to spontaneous recovery. A role for spontaneous recovery of sign-tracking in relapse to drug-taking is suggested by reports that alcohol drinking glassware provides cues eliciting alcohol-related physiological responses (Carter and Tiffany, 1999) and subjective cravings for alcohol (Cooney et al., 1983; Fox, 2007), and the persistence of these cue-elicited responses contribute to relapse (Marlatt, 1990; Rohsenow et al., 1994; Sinha and Li, 2007).

Sign-tracking is a consummatory-like response directed at a small object CS paired with reward US, and because this resembles drug-taking, the analogies to relapse provided by long-term retention, spontaneous recovery, and rapid reacquisition seem particularly pertinent. It is, nevertheless, appropriate to acknowledge that addiction theorists have long noted, and prior to the discovery of sign-tracking, that the remarkable durability and persistence of Pavlovian CRs was addiction-like (Wikler, 1967). It is not surprising, therefore that several recent prominent theoretical formulations of addiction and relapse have explicitly emphasized the role of Pavlovian processes in general (Stewart, et al., 1984; Siegel, 1989; Robbins and Everitt, 1999; Robinson and Berridge, 1993; Corbit and Janak, 2007) and sign-tracking in particular (Tomie, 1995a, 1996; Newlin, 2002; Uslaner et al., 2006; Flagel et al., 2007a, b; Cunningham and Patel, 2007).

2.2. Vulnerability to impulsivity

Impulsivity is typically measured using delay discounting procedures, and in observed when human beings (Bickel and Marsch, 2001) or animals (Charrier and Thiebot, 1996; Evenden and Ryan, 1996) choose smaller but immediate rewards over larger but delayed rewards. Impulsivity is related to drug addiction by studies reporting that rats that are intolerant of reward delay subsequently acquire cocaine self-administration more rapidly and at lower doses (Perry et al., 2005) and also self-administer more alcohol (Poulos et al., 1995, 1998) than do delay-tolerant rats (for review, see Olmstead, 2006). In addition, Lewis rats, as compared to Fischer rats, exhibit more intolerance to reward delay (Anderson and Woolverton, 2005) and more readily self-administer drugs of abuse, including cocaine (Kosten et al., 1997; Haile and Kosten, 2001), morphine (Ambrosio et al., 1995; Martin et al., 1999), and alcohol (Suzuki et al., 1988). In humans, the trait of impulsivity has been proposed to predispose vulnerability to drug abuse (Zuckerman, 1993; Jentsch and Taylor, 1999; Svrakic et al., 1999; Volkow and Fowler, 2000; Kreek et al., 2005) and there is evidence that impulsivity, as measured by self-reports in humans, is higher in alcohol-dependent patients (Patton, et al., 1995; Chen et al., 2007), and in drug abusers (Allen et al., 1998; Fillmore and Rush, 2002), while recent evidence implicates impulsivity is an important feature of early-onset alcoholism (Dom et al., 2006a, b).

Sign-tracking CR performance has been linked to impulsivity, as measured by delay discounting, in the same way that impulsive responding has been linked to alcohol drinking. The link between sign-tracking and impulsivity is based on the finding that individual differences in sign-tracking predict individual differences in impulsivity. Subject-to-subject variability in sign-tracking CR performance can be extreme, with large and reliable between-subject differences in sign-tracking CR performance reported in a number of species, including ring doves (Balsam, 1985), pigeons (Tomie, 1981), and rats (Locurto, 1981; Tomie et al., 1998a, b, 2000; Flagel et al., 2007a, b). Individual differences in sign-tracking CR performance were linked to individual differences in impulsivity, as measured by the tendency to choose small immediate rewards rather than larger delayed rewards (Tomie et al., 1998a). In that study, rats that performed more lever-press sign-tracking CRs were more impulsive, as measured by intolerance of reward delay. A similar type of within-subjects correlation between sign-tracking and delay discounting has been reported in a study of the effects of lesions of the subthalamic nucleus, which decreased impulsive choice and impaired sign-tracking CR acquisition (Winstanley, et al., 2005). Individual differences in impulsivity may also be substantial and predictive of between-subjects differences in alcohol drinking (Poulos et al., 1995, 1998). Poulos and his associates have shown that rats, exhibiting intolerance to reward delay by choosing small immediate rewards over larger delayed rewards, subsequently consumed more alcohol than rats that were less delay-intolerant. Their work reveals that impulsivity and alcohol drinking are linked phenomena (Poulos et al., 1997), and provides support for the hypothesis that those individuals that perform more sign-tracking CRs tend to be more impulsive and drink more alcohol.

Rat strains that exhibit more impulsive responding as measured by intolerance to reward delay or delay discounting also perform more sign-tracking CRs. For example, Lewis rats exhibit more intolerance to reward delay than Fischer rats (Anderson and Woolverton, 2005), and Lewis rats also exhibit more rapid acquisition and higher asymptotic levels of sign-tracking CR performance than Fischer rats (Kearns et al., 2006). Intolerance to reward delay or delay discounting is one of several indices of impulsivity, and there is evidence that sign-tracking resembles impulsive responding on other behavioral tasks as well (Monterrosso and Ainslie, 1999). For example, depletions of forebrain serotonin in rats increased the number of sign-tracking approach responses to a CS paired with food and also increased impulsive responding as measured by conditioned locomotor activity to food (Winstanley et al., 2004).

2.3. Psychomotor sensitization

Behavioral sensitization is defined as an increase in the locomotor-stimulating effect of a drug after repeated administration (Robinson and Becker, 1986) and is proposed to be a determinant factor in addictive behavior in rats (Robinson, 1984; Salamone, 1992; Robinson and Berridge, 1993; Stewart, 2000, 2003, 2004) and in humans (Newlin and Thomson, 1991; Hunt and Lands, 1992). In rats, sensitization has been shown with cocaine, morphine, and alcohol, and cross-sensitization has been shown between alcohol and morphine (Nesby et al., 1997) and between abused drugs and stress (Sorg and Kalivas, 1991; Tidey and Miczek, 1997; Araujo, et al., 2003). Repeated activation of the mesolimbic dopamine system may mediate the development of behavioral sensitization to psychomotor stimulants (Vezina and Stewart, 1990; Robinson and Berridge, 1993) and to alcohol (Nesby et al., 1997). Alcohol-induced behavioral sensitization has been shown in human beings (Zack and Vogel-Sprott, 1995), some strains of mice (Masur et al., 1986; Phillips et al., 1997) and in some strains of outbred rats (Hoshaw and Lewis, 2001; Correa et al., 2003); however, the conditions conducive to the induction or expression of behavioral sensitization of locomotor activation in rats remain unclear. Sensitization of psychomotor activation has been more reliably reported with drugs other than alcohol, including cocaine (Pecins-Thompson and Peris, 1993; Mattingly et al., 1994; Schenk and Partridge, 2000; Zavala et al., 2000; Erb et al., 2003; Haile et al., 2003; Matell et al., 2004), amphetamine (Robinson, 1984; Paulson and Robinson, 1991; Serwatkiewicz et al., 2000; Vezina and Queen, 2000; Crombag et al., 2001; Fukami et al., 2004), and opiates (Balcells-Olivero and Vezina, 1997; Ojanen et al., 2005).

Sign-tracking CR performance and sensitization of psychomotor activation are similar in the topographical forms of the behaviors expressed. Sign-tracking CRs (Tomie et al., 1989) and the psychomotor activation syndrome (Wise and Bozarth, 1987; Piazza and Le Moal, 1996) are skeletal-motor responses, including actions of forward locomotion and directed approach, that include contact and manipulation responses, culminating in consummatory-like responses, including gnawing, licking, sniffing, chewing, and swallowing. Conditions conducive to sign-tracking of alcohol drinking and to alcohol-induced sensitization of psychomotor activation share a number of elements. For example, both are enhanced by exposures to alcohol that are repeated and spaced. In sign-tracking procedures, alcohol drinking is enhanced by Intermittent Sipper procedures and longer intertrial interval (ITI) durations (Tomie et al., 2003c, Exp. 2; 2005a, 2006b). These are not unlike procedures most conducive to the induction of the psychomotor activating effects of alcohol, where repeated and spaced injections of alcohol (i.e., intermittent schedules of alcohol exposures), induce stronger psychomotor activating effects than in controls provided with massed exposures to alcohol (Pecins-Thompson and Peris, 1993; Lessov and Phillips, 1998; Quadros et al., 2003). Similarly, other abused drugs induce psychomotor activation effects (Robinson, 1984; Wise and Bozarth, 1987; Wise and Rompre, 1989) that are exaggerated by repeated and spaced exposures to the drug, relative to controls receiving fewer but massed exposure to similar amounts of the drug (Salamone, 1992; Stewart, 2003).

Sign-tracking of alcohol drinking and sensitization of alcohol's psychomotor activating effects are similar in that both are behavioral models of addiction that emphasize similar properties of the inducing experience. They do, however, differ in a number of important ways. For example, sign-tracking procedures provide for oral alcohol drinking of small amounts of alcohol per exposure, with relatively short inter-exposure intervals. In contrast, sensitization procedures provide for systemic or intraventricular injections of larger doses of alcohol per exposure, with longer inter-exposure intervals. Despite these dosing differences, the ratio of the duration of the inter-exposure interval to the amount of drug delivered per exposure is similar for both sign-tracking and sensitization procedures. Furthermore, both procedures demonstrate the direct relationship between the duration of the inter-exposure interval and the amount of sign-tracking or sensitization observed.

Recently additional relationships between sign-tracking and psychomotor sensitization have been reported. For example, Flagel and her associates have reported that those rats that develop sign-tracking CR performance show enhanced propensity to exhibit cocaine-induced psychomotor sensitization, relative to goal-tracking rats that moved to the location of the food receptacle rather than to the lever CS (Flagel et al., 2007b). They suggested that sign-trackers are susceptible to a form of cocaine-induced plasticity that may contribute to the development of addiction. In support of this hypothesis, Flagel and her associates have reported that sign-trackers exhibited higher levels of D1 mRNA in NAC core relative to goal-trackers after the first day of training with sign-tracking procedures (Flagel, et al., 2007a), but after 5 days of training, sign-trackers showed blunted dopaminergic expression patterns relative to goal-trackers, including lower levels of tyrosine hydroxylase, dopamine transporter, and dopamine D2 mRNA relative to goal-trackers (Flagel et al., 2007a). These data are consistent with the hypothesis that behavioral changes induced by sign-tracking procedures are related to changes in the dopamine system, and in a manner noted by addiction researchers. For example, lower levels of D2 receptor have been associated with increased craving (Heinz et al., 2004), and increased reports of "drug-liking" in humans (Volkow et al., 2002). Finally, Flagel and her associates (unpublished data) have noted that rats selectively bred for high responsivity to environmental novelty stress are almost exclusively sign-trackers in food US procedures and rats selectively bred for low responsivity to environmental novelty stress exhibit almost exclusively goal-tracking, moving to the location of the food receptacle rather than to the lever CS. When these rats are employed in sign-tracking procedures employing cocaine US, the same results are observed. The high-responders to novelty all acquire sign-tracking CR performance, while none of the low responders do so. Thus, the high responsivity phenotype exhibits sign-tracking in procedures employing either food US or cocaine US, while the low responsivity phenotype does not exhibit sign-tracking to signals for either food US or cocaine US.

2.4. Sign-Tracking induced by abused drugs

Our hypothesis is that sign-tracking CR performance is induced by experience with repeated pairings of an object CS with drug reward US. There is evidence of precisely this effect in animal studies of drug abuse. The most compelling evidence of this is provided by Uslaner et al. (2006), who used the insertion of a retractable lever as CS and intravenous administration of cocaine as US. They reported that when lever CS and cocaine US were paired in a sign-tracking procedure, rats approached and sniffed the lever CS more than pseudoconditioning controls that received the lever CS and cocaine US in an unpaired fashion (Uslaner, et al., 2006). Other drug abuse investigators have employed modified sign-tracking procedures to induce lever-pressing of drug self-administration in rats. For example, Carroll and her associates have reported that pairings of the insertion of a lever CS with intravenous administration of drug reward US induced the automatic "shaping" of lever-pressing for drug self-administration in rats. Procedures of this sort have been employed to induce reliable lever-pressing for the self-administration of the cocaine US (Carroll and Lac, 1993, 1997, 1998; Specker et al., 1994; Gahtan et al., 1996; Lynch and Carroll, 1999; Lynch et al., 2001; Campbell and Carroll, 2001; Campbell et al., 2002; Carroll et al., 2002; Roth et al., 2002; see also Panlilio et al., 1996; Weiss et al., 2003 c.f., Di Ciano and Everitt, 2003; Kearns and Weiss, 2004), orthe self-administration of the amphetamine US (Carroll and Lac, 1997) or the self-administration of the heroin US (Lynch and Carroll, 1999; Carroll et al., 2002; Roth et al., 2002). In all of these studies, rats developed increasingly frequent lever-pressing as a function of experience with repeated pairings of lever CS with rewarding drug US. The role of sign-tracking, however, remains unclear, because when lever-pressing occurred, the drug reward US was administered more quickly than when lever-pressing was not observed. Thus, the drug reward US was not presented independently of responding, as is the case during sign-tracking procedures. An additional problem is that none of these studies included controls for pseudoconditioning, leaving open the possibility that the development of lever-pressing was due to mere experience with repeated presentations of the lever CS per se or to repeated presentations of the drug reward US per se.

Pairing a visual CS with alcohol US induces sign-tracking CR performance in rats. For example, after provided rats with pairings of a light CS with alcohol US, Krank (2003) observed that they approached the location of the light CS, resulting in increases or decreases in operant lever-pressing for alcohol reinforcement, when the light CS was located either near or far away from the operant lever, respectively. Sign-tracking using alcohol US has also been reported by Cunningham and Patel (2007), who reported that only three pairings of a star CS with alcohol US were required to induce reliable Pavlovian conditioned approach to the star CS as revealed by place conditioning procedures in mice. Tomie and his associates have employed sign-tracking procedures consisting of alcohol sipper CS paired with food US to induce alcohol sipper CS-directed consummatory responding, resulting in alcohol drinking (Tomie et al., 2002a Exps 1 and 2, 2002c, 2003c Exps 1 and 2, 2004a, 2005b, 2006b). Similar procedures have been employed with chlordiazepoxide in the sipper CS to induce sign-tracking of sipper CS-directed chloridazepoxide drinking in rats (Tomie et al., 2004e). Most significantly, there is evidence that the drinking of alcohol from the sipper CS, an action that provides the rat with pairings of sipper CS with alcohol US, induces a pattern of alcohol drinking that is indicative of sign-tracking of sipper CS-directed alcohol drinking in rats (Tomie et al., 2002c, 2003c Exps 1 and 2; Tomie et al., 2005a, 2006b Exps 1 and 2; see also Tomie et al., 2006a). Thus, the hypothesis that sign-tracking CR performance develops as a function of repeated pairings of an object CS with drug reward US is well supported. Our view is that repeated pairings of an object CS with drug reward US are experienced by humans during the drug-taking sequence, and this leads to the development of sign-tracking CR performance of reflexive and poorly controlled drug-taking.

3. Neurobiological substrates

3.1. Stress-related effects

Stressful events play a prominent role in alcohol and drug abuse in humans (Fouquereau et al., 2003; Goeders, 2004; Kreek et al., 2005) and animals (Stewart, 2003; Capriles et al., 2003; Kabbaj, et al., 2004; Mantsch and Katz, 2007). Experience with stressful events provokes neuroendocrine responses as well as changes in neurotransmitter systems (Koob, 2006), and drug abuse is related to neurobiological responses to stress, including the release of the glucocorticoid stress hormone corticosterone (Martinelli and Piazza, 2002; Yang, et al., 2004; Le et al., 2005), and changes in monoamine neurotransmitter activity (Heinz et al., 2002; Kalivas and McFarland, 2003; Zhang and Kosten, 2005; Salomon et al., 2006; Sorge and Stewart, 2005). This section reviews evidence that sign-tracking procedures induce changes in corticosterone levels and monoamine neurotransmitters that resemble the stress-related responses known to accompany alcohol and drug abuse.

3.1.1. Corticosterone

There are relationships between corticosterone and sign-tracking in many animal studies that resemble those observed between corticosterone and the self-administration of abused drugs. For example, addiction researchers have noted that higher plasma corticosterone levels are associated with higher levels of alcohol intake (Morin and Forger, 1982; Fahlke et al. 1994a, b; Hansen et al., 1995; Prasad and Prasad, 1995; Higley and Linnoila, 1997), and with more self-administration of other abused drugs (Wise and Bozarth, 1987; Robinson and Berridge, 1993; Piazza and Le Moal, 1996; Koob, 1999; Stewart, 2003). A similar type of relationship between plasma corticosterone levels and sign-tracking has been documented in several ways. For example, pretreatment with ketoconazole, a corticosterone synthesis inhibitor, decreased the rate of acquisition of sign-tracking CR performance of cocaine self-administration in rats (Campbell and Carroll, 2001), and adrenalectomy reduced sign-tracking CR performance in rats that was previously established by pairings of lever CS with food US (Thomas and Papini, 2001).

There is also evidence that mere experience with sign-tracking procedures induces corticosterone release in rats (Tomie et al., 2002b Exp 1, 2003a, 2004b), and this finding is particularly intriguing in view of the postulated relationships between sign-tracking and drug-taking and between corticosterone and drug-taking. In these studies, rats trained with sign-tracking procedures that consisted of pairings of lever CS with food US showed higher post-session plasma corticosterone levels than controls trained with lever CS and food US presented randomly with respect to one another (Tomie et al., 2002b Exp 1, 2003a, 2004b). For example, in a number of studies, plasma samples collected immediately following the 20th daily sign-tracking session revealed higher corticosterone levels in the Paired group relative to the Random control group (Tomie et al., 2002b Exp 1, 2003a, 2004b). Most significantly, group differences in plasma corticosterone levels in rats were also observed in plasma samples collected immediately following the first sign-tracking session (Tomie et al., 2002b Exp 2), which preceded the acquisition of sign-tracking lever-press CR performance in the Paired group. This indicates that the effect of training with sign-tracking procedures on plasma corticosterone levels is not a by-product of group differences in lever-pressing frequency. Corticosterone release is induced by experience with lever CS - food US paired sign-tracking procedures and is evident prior to the expression of sign-tracking CR performance. One possibility is that corticosterone induces a state of arousal (Merali et al., 1998; see also Killeen et al., 1978) that is conducive to the expression of sign-tracking CR performance (Tomie et al., 2002b, 2004b); moreover, higher levels of corticosterone are related to higher levels of alcohol drinking (Fahlke et al, 1994a, b) and the tendency to self-administer abused drugs (Piazza et al., 1989; Rouge-Pont et al., 1993; Lucas et al., 1998; for reviews see Piazza and Le Moal, 1996; Koob, 1999).

The performance-enhancing effects of corticosterone on sign-tracking CR performance are also revealed by the relationship between individual differences in corticosterone release and sign-tracking CR performance. Rats that showed higher novelty stress-induced corticosterone release acquired the lever-press sign-tracking CR more rapidly and maintained higher asymptotic levels of lever-press sign-tracking CR performance (Tomie et al., 2000). The effect of vulnerability to novelty stress-induced corticosterone release on sign-tracking CR performance resembles this effect on drug self-administration (Piazza and Le Moal, 1996). Corticosterone is thought to activate mesolimbic dopamine neurons. Between-subjects differences in sign-tracking CR performance (Tomie et al., 2000) and amphetamine self-administration (Piazza and Le Moal, 1996) are positively correlated with indices of increased dopaminergic function (i.e., elevations in accumbal levels of dopamine (DA) and DOPAC). This pattern of results suggests that corticosterone release, postulated to activate mesolimbic DA neurotransmission producing psychomotor activation (Robinson and Berridge, 1993; Wise and Bozarth, 1987), may also be involved in promoting the expression of sign-tracking CRs and drug-taking responses. The possibility that elevated plasma corticosterone levels may contribute to sign-tracking CR expression as well as to vulnerability to drug abuse adds to the growing list of common features shared by both (Tomie 1995a, 1996, 2001). The pathophysiological profiles of vulnerability to sign-tracking and drug abuse are considered in more detail in Section 3.3.

3.1.2. Monoamines

Additional stress-like effects induced by sign-tracking procedures are the changes associated with monoamine neurotransmitter levels and monoamine neurotransmitter turnover in forebrain areas. In addition to the release of corticosterone, sign-tracking procedures induce stress-like changes in forebrain norepinephrine and serotonin. For example, sign-tracking procedures induce changes in central monoamine systems that resemble stress-induced sensitization effects. Paired sign-tracking procedures induce higher levels of norepinephrine (NE) and serotonin (5-HT) in the prefrontal cortex (PFC) but not in the striatum relative to Random controls (Tomie et al., 2004b), and this pattern of results bears a striking similarity to the effects of stressful events, like electric shock (Adell et al., 1988; Yoshioka et al., 1995; Koob, 1999). Stress may play a crucial role in drug addiction, by sensitizing crucial neuronal substrates to the activating effects of abused drugs (Piazza and Le Moal, 1996; Koob, 1999; Stewart, 2003); therefore, these stress-like changes induced by experience with CS-US paired sign-tracking procedures may also serve to accentuate the activating effects of abused drugs.

A stress-like effect on 5-HT receptor binding has also been observed in sign-tracking (Tomie et al., 2003a; Meneses et al., 2004). The relationship between stress and reduced 5-HT1A receptor function has been documented in several ways. Chronic mild stress reduced adrenocorticotrophic hormone responses to 8-OH-DPAT, a 5-HT1A receptor agonist (Grippo et al., 2005). Stress reduces 5-HT1A messenger RNA gene expression in hippocampus in rats (Lopez et al., 1999) and 5-HT1A receptor binding, as measured by autoradiography, in the hippocampus in rats and humans (Lopez et al., 1998). Sign-tracking investigators have reported that corticosterone levels are elevated by omission procedures providing for cancellation of the food US on trials that the rat performs the lever-press sign-tracking CR, relative to non-omission controls (Tomie et al., 2003a), suggesting that the omission procedure is stressful. Autoradiography revealed lower post-synaptic 5-HT1A receptor binding in the omission group than in the non-omission controls, in several brain areas, including frontal cortex, septum and caudate putamen (Tomie et al., 2003a). More recently, it has been reported that 3H-8-OH-DPAT-labeled binding of 5-HT1A receptors was lower in septum and caudate putamen in rats receiving lever CS - food US sign-tracking procedures than in untrained controls (Meneses et al., 2004). Several studies suggest 5-HT1A receptors may mediate drug-taking responses in rats. For example, ipsapirone, a 5-HT1A partial agonist reduced ethanol intake in rats (for review, see Schreiber et al., 1999), while NAN-190, a selective 5-HT1A receptor antagonist decreased intravenous self-administration of methamphetamine in rats (Novakoval et al., 2000). Furthermore, it is known that repeated administration of alcohol (Rothman et al., 2000; Chastain, 2006) or psychomotor stimulants (Weiss et al., 1992; Levy et al., 1994; Rothman et al., 2000; Marshall et al., 2007) result in synaptic deficits in 5-HT. Thus, these stress-like changes in corticosterone and monoamine levels and 5-HT receptor binding induced by sign-tracking are not unlike the profile of neurobiological features associated with drug abuse (Piazza and Le Moal, 1996; Marinelli and Piazza, 2002; Stewart, 2003).

3.2. Dopamine pathways

3.2.1. Nucleus accumbens

The addictive properties of various drugs depend on the mesocorticolimbic DA system (Wise and Bozarth, 1985; Koob and Bloom, 1988; Carelli, 2002; Saal et al., 2003) and its projection to the nucleus accumbens (NAC) from the ventral tegmental area (VTA) in the brainstem (Zito et al., 1985; Wise and Rompre, 1989; Everitt et al., 2001; Marinelli and Piazza, 2002; Ghitza et al., 2004). The NAC has been shown to be crucial for the development of Pavlovian conditioned responses to natural rewards (for review see Day and Carelli, 2007), abused drugs (Ghitza et al., 2003; Cardinal and Everitt, 2004; Di Chiara et al., 2004), and to sign-tracking CR performance (Parkinson et al., 1999, 2000, 2002; Di Ciano et al., 2001; Dalley et al., 2002; Cardinal et al., 2002; Everitt and Robbins, 2005).

Lesions of the NAC disrupt the acquisition of sign-tracking CR performance in rats (Parkinson et al., 2000; Di Ciano et al., 2001; Parkinson et al., 2002; Dalley et al., 2002; Cardinal et al., 2002) and the maintenance of performance of previously learned sign-tracking CRs (Parkinson et al., 1999; Parkinson et al., 2002). For example, in rats, DA-depleting lesions of the NAC, induced by bilateral infusions of 6-hydroxydopamine directly into the NAC, impaired the acquisition of sign-tracking of light CS-directed contact CRs during training with light CS - food US sign-tracking procedures (Dalley et al., 2002).

3.2.1.1. Nucleus accumbens core

The NAC is a heterogeneous structure that can be further divided into anatomically and functionally distinct core and shell subregions (Zahm and Brog, 1992; Zahm, 2000). Selective excitotoxic lesions of the core of the NAC during training impaired the acquisition of sign-tracking CR performance in rats (Parkinson et al., 2000). Lesioned rats failed to approach the light CS+ that had been paired with food US on more trials than sham controls, and lesioned rats failed to acquire a discriminative sign-tracking task, even though CS+ was paired with food and CS− was not (Cardinal et al., 2002). On the other hand, unilateral lesions of the medial PFC and the medial caudate-putamen produced attentional deficits, but had no effect on the acquisition of Pavlovian sign-tracking CR performance in rats (Christakou et al., 2005).

The involvement of the NAC core in Pavlovian sign-tracking has also been implicated by the deleterious effects on discriminative Pavlovian sign-tracking CR performance following infusions of glutamatergic or dopaminergic receptor antagonists (Di Ciano et al., 2001). Infusions of NMDA (N-methyl-D-aspartic acid) or the dopamine D1/D2 receptor antagonist alpha-flupenthixol into the NAC core during training impaired the acquisition of sign-tracking CR performance in rats. These rats performed fewer conditioned approach responses directed at the lever CS+ that was paired with food US, relative to vehicle controls, and, in addition, failed to discriminate between CS+ and CS−, even though CS− was not paired with food US (Di Ciano et al., 2001).

3.2.1.2. Nucleus accumbens shell

There is evidence that the shell of the NAC is also involved in the Pavlovian conditioning of appetitive approach CRs. Rats acquired a conditioned approach response to a compound light/auditory CS paired with sucrose US more rapidly when d-amphetamine was infused post-session into the shell of the NAC than into the core or dorsal striatum (Phillips, et al., 2003a). This finding is in agreement with immunohistochemical evidence showing that Pavlovian approach conditioning is associated with activation of dopaminergic terminals specifically within the shell of the NAC (Phillips et al., 2003b, c). DA activity in NAC shell and core was investigated immunohistochemically using antibodies raised against glutaraldehyde-conjugated DA (Phillips et al., 2003b). During acquisition of Pavlovian conditioned approach to a visual CS that preceded sucrose US, DA activity in NAC shell was more elevated than in NAC core during the initial stages of CR acquisition, and neither area was responsive during asymptotic CR performance (Phillips et al., 2003b).

The shell of the NAC may have an effect on the initial acquisition of Pavlovian conditioning of approach responses by influencing the rewarding effects of novelty. Single-unit recording using fast-scan cyclic voltammetry to assess DA release revealed that DA efflux increased only during the brief period of entry into novelty and the increase was confined to the shell of the NAC (Rebec, 1998). In this study, neither the accumbal core nor the overlying neostriatum showed a novelty-related DA change. Using single-unit recording to assess neuronal activity, approach to novelty was accompanied by roughly equal proportions of neuron excitations and inhibitions in core but a shift away from excitation toward inhibition in shell. Widespread activation of core units during approach to novelty suggested a role for core activation in the initiation of appetitive behavioral responses (Rebec, 1998; Wood and Rebec, 2004, see also Corbit et al., 2001; Sellings and Clarke, 2003; Ghitza et al., 2004; Balleine, 2005).

3.2.2. Anterior cingulate cortex

Anterior cingulate cortex (ACC) projects to NAC core and has been implicated as an area related to drug craving (Everitt and Robbins, 2005) and primed reinstatement of drug-taking responses (Kalivas and McFarland, 2003). In human cocaine addicts, imaging by positron emission tomography of synaptic activity related to addict-generated mental imagery of drug craving was associated with bilateral activation of ACC (Kilts et al., 2001), while in rats, bilateral lesions of the ACC produced a decrease in acquisition of heroin self-administration and a decrease in relapse of heroin-taking in rats (Trafton and Marquez, 1971). Lesions of ACC impair sign-tracking CR performance in rats (Bussey et al., 1997; Parkinson et al., 2000; Cardinal et al., 2002, 2003), and disconnection of the ACC from the core of the NAC also impaired the acquisition of sign-tracking CR performance (Parkinson et al., 2000). Lesions of ACC also impair differential responding to CS+ and CS− in discriminative sign-tracking procedures (Bussey et al., 1997; Cardinal et al., 2002). The effects of lesions of ACC on sign-tracking are unlikely due to general impairment of cognitive or motor function, as lesions of ACC impaired sign-tracking, but had no effect on a variety of Pavlovian conditioning tasks, including goal-tracking, conditioned reinforcement, conditioned freezing and Pavlovian-Instrumental transfer (Cardinal et al., 2003).

3.2.3. Pendunculopontine tegmental nucleus

The pendunculopontine tegmental nucleus (PPTg) is a brain-stem output of the limbic system that projects to dopaminergic midbrain areas that connect to the nucleus accumbens (Steiniger-Brach and Kretschmer, 2005). The PPTg is involved in motor activity driven by the DA system (Steiniger, 2004) that is critical for the performance of complex motivated behavior (Bechara and van der Kooy, 1989). The PPTg exerts this influence by altering response selection processes in the NAC (Steiniger-Brach and Kretschmer, 2005). The PPTg has been implicated in the self-administration of abused drugs (Corrigall et al., 2002), including alcohol (Samson and Chappell, 2001). NMDA-lesions of the PPTg disrupt the learning of conditioned place preference based on injections of morphine or amphetamine (Olmstead and Franklin, 1994). In sign-tracking, PPTg may play a role in the learning of the association between the CS and rewarding US. PPTg-lesioned rats fail to respond differentially to CS+ that is paired with the US reward, as compared to CS−, which is not paired with US reward, as evidenced by the finding that rats approached the CS+ and CS− with equal frequency, and the latencies to respond to the two stimuli did not differ (Inglis et al., 2000). Thus, lesions of the PPTg disrupted the learning of conditioned approach responses in drug-seeking and sign-tracking procedures.

3.3. Vulnerability markers

The neurobiological characteristics of rats that perform more lever-press sign-tracking CRs (Tomie, et al., 2000) share much in common with pathophysiological markers of vulnerability to drug abuse (Piazza and Le Moal, 1996). Rats that performed more lever-press sign-tracking CRs showed more novelty stress-induced corticosterone release, higher DA levels in NAC, lower DOPAC/DA turnover ratios in caudate putamen, lower 5-HIAA/5-HT turnover in the VTA, but no evidence of elevated dopamine activity in PFC. Similarly, rats that more readily self-administer amphetamine showed more novelty stress-induced corticosterone release (Piazza et al., 1989; Rouge-Pont et al., 1993; Piazza and Le Moal, 1996; Lucas et al., 1998), higher indices of DA functioning in NAC (Piazza et al., 1989; Rouge-Pont et al., 1993; Piazza and Le Moal, 1996; Lucas et al., 1998), but not in PFC (Simon et al., 1988; Piazza et al., 1991) and lower indices of 5-HT functioning in VTA (Piazza et al., 1991; see also Kelland et al., 1990). These results add to the growing body of evidence suggesting that sign-tracking and drug abuse may be related phenomena (Tomie, 1995a, 1996; Tomie et al., 2000; Everitt et al., 2001; Uslaner et al., 2006; Flagel et al., 2007a, b).

4. Sign-tracking as attribution of incentive salience

Addiction researchers have long recognized that stimuli paired with abused drugs acquire incentive motivational properties (Wikler, 1967; Sherman et al., 1989; Robinson and Berridge, 1993; Robbins and Everitt, 1999; Glasner et al., 2005). These are typically viewed as Pavlovian CRs that activate subjective, emotional or motivation states that contribute to the incentive to consume the drug, thereby increasing the likelihood that the user will perform the physical actions of drug-taking. A more precise formulation of how Pavlovian incentive motivational processes may contribute to drug abuse is offered by Incentive Sensitization Theory (IST), which proposes that addictive drugs sensitize the neural reward function, increasing the positive reward value of drug-taking (Robinson and Berridge, 1993; Berridge and Robinson, 2003). Sensitization of the drug's rewarding effects may provide further incentive for increasing drug intake, causing the individual to increasingly crave the drug's effects (Robinson and Berridge, 2000, 2001). Most significantly, stimuli paired with the drug develop incentive salience, a motivational component of reward that, according to IST, makes objects paired with reward especially attractive and highly desired (Berridge, 2001). Thus, IST predicts that stimulus objects paired with reward will become motivational magnets (Berridge, 2001).

It has recently been proposed that sign-tracking CR performance may be the overt behavioral manifestation of the attribution of incentive salience to reward-related cues (Uslaner et al., 2006; Flagel et al., 2007a, b). According to this view, repeated pairings of lever CS with food US leads to sign-tracking CR performance due to the attribution of incentive salience, which makes the lever CS highly salient and attractive and desired. Thus, the lever CS becomes a motivational magnet, compelling the rat to approach and contact the lever CS, even though the performance is not necessary to obtain food.

The hypothesis that sign-tracking reflects the attribution of incentive salience to the lever CS is supported by the finding that rats vulnerable to developing sign-tracking CR performance show greater propensity to exhibit cocaine-induced psychomotor sensitization (Flagel et al., 2007b), suggesting that individual differences in the tendency to sign-track are associated with differences in the tendency to attribute incentive salience to a discrete reward-related cue. This, in turn, suggests that sign-trackers are susceptibile to a form of cocaine-induced plasticity that may contribute to the development of addiction (Robinson and Berridge, 2000, 2001). These results suggest that drug abusers are individuals prone to develop pathological levels of incentive salience attributed to reward-related cues. Although further studies are required to develop more fully the possible relationship between sign-tracking CR performance and attribution of incentive salience, this approach may serve to integrate further our understanding of the behavioral and neurobiological determinants of drug abuse.

Acknowledgements

Authors thank Barbara A. Zito for numerous thoughtful suggestions. Funds for these studies were provided in part by National Institute on Alcohol Abuse and Alcoholism grant R21 AAA-12023-02 awarded to A.T., and National Institute on Alcohol Abuse and Alcoholism grant R01 AAA-10124-03 awarded to L.A.P. Preparation of this manuscript was supported by funds from the Center of Alcohol Studies, Rutgers University.

Abbreviations

CS

conditioned stimulus

US

unconditioned stimulus

ITI

intertrial interval

DA

dopamine

DOPAC

3,4-dihydroxy-phenylacetic acid

IST

Incentive Sensitization Theory

NE

norepinephrine

5-HT

5-hydroxytryptamine

VTA

ventral tegmental area

NAC

nucleus accumbens

PFC

prefrontal cortex

8-OH-DPAT

8-hydroxy-2-di-n-propylamino-tetralin

ACC

anterior cingulate cortex

NMDA

N-methyl-D-aspartic acid

PPTg

pendunculopontine tegmental nucleus

5-HIAA

5-hydroxyindoleacetic acid

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  1. Adell A, Trullas R, Gelpi E. Time course of changes in serotonin and noradrenaline in rat brain after predictable or unpredictable shock. Brain Res. 1988;459:54–59. doi: 10.1016/0006-8993(88)90285-5. [DOI] [PubMed] [Google Scholar]
  2. Allen T, Moeller FG, Rhoades HM, Cherek DR. Impulsivity and history of drug dependence. Drug Alcohol Depend. 1998;50:137–145. doi: 10.1016/s0376-8716(98)00023-4. [DOI] [PubMed] [Google Scholar]
  3. Ambrosio E, Goldberg SR, Elmer GI. Behavioral genetic investigation of the relationship between spontaneous locomotor activity and the acquisition of morphine self-administration behavior. Behav. Pharmacol. 1995;6:229–237. [PubMed] [Google Scholar]
  4. Anderson KG, Woolverton WL. Effects of clomipramine on self-control choice in Lewis and Fischer 344 rats. Pharmacol. Biochem. Behav. 2005;80:387–393. doi: 10.1016/j.pbb.2004.11.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Araujo APN, DeLucia R, Scavone C, Planeta CS. Repeated predictable or unpredictable stress: Effects on cocaine-induced locomotion and cyclic AMP-dependent protein kinase activity. Behav. Brain Res. 2003;139:75–81. doi: 10.1016/s0166-4328(02)00088-8. [DOI] [PubMed] [Google Scholar]
  6. Atnip GW. Stimulus- and response-reinforcer contingencies in autoshaping, operant, classical, and omission training procedures in rats. J. Exp. Anal. Behav. 1977;28:59–69. doi: 10.1901/jeab.1977.28-59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Balcells-Olivero M, Vezina P. Effects of naltrexone on amphetamine-induced locomotion and rearing: Acute and repeated injections. Psychopharmacology. 1997;131:230–238. doi: 10.1007/s002130050288. [DOI] [PubMed] [Google Scholar]
  8. Balleine BW. Neural bases of food-seeking: Affect, arousal and reward in corticostriatolimbic circuits. Physiol. Behav. 2005;86:717–730. doi: 10.1016/j.physbeh.2005.08.061. [DOI] [PubMed] [Google Scholar]
  9. Balsam PD. The functions of context in learning and performance. In: Balsam PD, Tomie A, editors. Context and Learning. Hillsdale, NJ: Erlbaum; 1985. pp. 1–21. [Google Scholar]
  10. Bechara A, van der Kooy D. The tegmental pedunculopontine nucleus: A brain-stem output of the limbic system critical for the conditioned place preferences produced by morphine and amphetamine. J. Neurosci. 1989;9:3400–3409. doi: 10.1523/JNEUROSCI.09-10-03400.1989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Berridge KC. Reward learning: reinforcement, incentives and expectations. In: Medin D, editor. Psychology of learning and motivation. Academic Press; 2001. pp. 223–278. [Google Scholar]
  12. Berridge KC, Robinson TE. Parsing reward. Trends Neurosci. 2003;26:507–513. doi: 10.1016/S0166-2236(03)00233-9. [DOI] [PubMed] [Google Scholar]
  13. Bickel WK, Marsch LA. Toward a behavioral economic understanding of drug dependence: Delay discounting processes. Addiction. 2001;96:73–86. doi: 10.1046/j.1360-0443.2001.961736.x. [DOI] [PubMed] [Google Scholar]
  14. Breland K, Breland M. The misbehavior of organisms. Amer. Psychologist. 1961;16:681–683. [Google Scholar]
  15. Breland K, Breland M. Animal Behavior. New York: Macmillan; 1966. [Google Scholar]
  16. Brown PL, Jenkins HM. Auto-shaping of the pigeon’s key-peck. J. Exp. Anal. Behav. 1968;11:1–8. doi: 10.1901/jeab.1968.11-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Bussey TJ, Everitt BJ, Robbins TW. Dissociable effects of cingulate and medial frontal cortex lesions on stimulus-reward learning using novel Pavlovian autoshaping procedure for the rat: Implications for the neurobiology of emotion. Behav. Neurosci. 1997;111:908–919. doi: 10.1037//0735-7044.111.5.908. [DOI] [PubMed] [Google Scholar]
  18. Campbell UC, Carroll ME. Effects of ketoconazole on the acquisition of intravenous cocaine self-administration under different feeding conditions in rats. Psychopharmacology. 2001;154:311–318. doi: 10.1007/s002130000627. [DOI] [PubMed] [Google Scholar]
  19. Campbell UC, Morgan AD, Carroll ME. Sex differences in the effects of baclofen on the acquisition of intravenous cocaine self-administration in rats. Drug Alcohol Depend. 2002;66:61–69. doi: 10.1016/s0376-8716(01)00185-5. [DOI] [PubMed] [Google Scholar]
  20. Capriles N, Rodaros D, Sorge RE, Stewart J. A role for the prefrontal cortex in stress- and cocaine-induced reinstatement of cocaine seeking in rats. Psychopharmacology. 2003;168:66–74. doi: 10.1007/s00213-002-1283-z. [DOI] [PubMed] [Google Scholar]
  21. Cardinal RN, Everitt BJ. Neural and psychological mechanisms underlying appetitive learning: links to drug addiction. Curr. Opin. Neurobiol. 2004;14:156–162. doi: 10.1016/j.conb.2004.03.004. [DOI] [PubMed] [Google Scholar]
  22. Cardinal RN, Parkinson JA, Lachenal G, Halkerston KM, Rudarakanchana N, Hall J, Morrison CH, Howes SR, Robbins TW, Everitt BJ. Effects of selective excitotoxic lesions of the nucleus accumbens core, anterior cingulate cortex, and central nucleus of the amygdala on autoshaping performance in rats. Behav. Neurosci. 2002;116:553–567. doi: 10.1037//0735-7044.116.4.553. [DOI] [PubMed] [Google Scholar]
  23. Cardinal RN, Parkinson JA, Marbini HD, Toner AJ, Bussey TJ, Robbins TW, Everitt BJ. Role of the anterior cingulate cortex in the control over behavior by Pavlovian conditioned stimuli in rats. Behav. Neurosci. 2003;117:566–587. doi: 10.1037/0735-7044.117.3.566. [DOI] [PubMed] [Google Scholar]
  24. Carelli RM. The nucleus accumbens and reward: Neurophysiological investigations in behaving animals. Behav. Cog. Neurosci. Rev. 2002;1:281–296. doi: 10.1177/1534582302238338. [DOI] [PubMed] [Google Scholar]
  25. Car H, Murtazina E. Studies on arginine-vasopressin and its analogue [D(CH-sub-2) 1 5, TYR(ME)-2]AVP in lever-touch autoshaping model of memory in rats. Asia Pac. J. Pharmacol. 1994;9:149–152. [Google Scholar]
  26. Carroll ME, Lac ST. Autoshaping IV cocaine self-administration in rats: Effects of nondrug alternative reinforcers on acquisition. Psychopharmacology. 1993;110:5–12. doi: 10.1007/BF02246944. [DOI] [PubMed] [Google Scholar]
  27. Carroll ME, Lac ST. Acquisition of IV amphetamine and cocaine self-administration in rats as a function of dose. Psychopharmacology. 1997;129:206–214. doi: 10.1007/s002130050182. [DOI] [PubMed] [Google Scholar]
  28. Carroll ME, Lac ST. Dietary additives and the acquisition of cocaine self-administration in rats. Psychopharmacology. 1998;137:81–89. doi: 10.1007/s002130050596. [DOI] [PubMed] [Google Scholar]
  29. Carroll ME, Morgan AD, Lynch WJ, Campbell UC, Dess NK. Intravenous cocaine and heroin self-administration in rats selectively bred for differential saccharin intake: Phenotype and sex differences. Psychopharmacology. 2002;161:304–313. doi: 10.1007/s00213-002-1030-5. [DOI] [PubMed] [Google Scholar]
  30. Carter BL, Tiffany ST. Meta-analysis of cue-reactivity in addiction research. Addiction. 1999;94:327–340. [PubMed] [Google Scholar]
  31. Charrier D, Thiebot MH. Effects of psychotropic drugs on rats responding in an operant paradigm involving choice between delayed reinforcers. Pharmacol. Biochem. Behav. 1996;54:149–157. doi: 10.1016/0091-3057(95)02114-0. [DOI] [PubMed] [Google Scholar]
  32. Chastain G. Alcohol, neurotransmitter systems, and behavior. J. Gen. Psychol. 2006;133:329–335. doi: 10.3200/GENP.133.4.329-335. [DOI] [PubMed] [Google Scholar]
  33. Chen ACH, Porjesz B, Rangaswamy M, Kamarajan C, Tang Y, Jones KA, Chorlian DB, Stimus AT, Begleiter H. Reduced frontal lobe activity in subjects with high impulsivity and alcoholism. Alcohol Clin. Exp. Res. 2007;31:156–165. doi: 10.1111/j.1530-0277.2006.00277.x. [DOI] [PubMed] [Google Scholar]
  34. Christakou A, Robbins TW, Everitt BJ. Prolonged neglect following unilateral disruption of a prefrontal cortical-dorsal striatal system. Eur. J. Neurosci. 2005;21:782–792. doi: 10.1111/j.1460-9568.2005.03892.x. [DOI] [PubMed] [Google Scholar]
  35. Corbit LH, Janak PH. Ethanol-associated cues produce general Pavlovian-Instrumental transfer. Alcohol. Clin. Exp. Res. 2007;31:766–774. doi: 10.1111/j.1530-0277.2007.00359.x. [DOI] [PubMed] [Google Scholar]
  36. Corbit LH, Muir JL, Balleine BW. The role of the nucleus accumbens in instrumental conditioning: evidence of a functional dissociation between accumbens core and shell. J. Neurosci. 2001;21:3251–3260. doi: 10.1523/JNEUROSCI.21-09-03251.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Cooney NL, Baker LH, Pomerleau OF. Cue exposure for relapse prevention in alcohol treatment. In: McMahon RJ, Craig KD, editors. Advances in Clinical Behavior Therapy. New York: Brunner/Mazel; 1983. pp. 194–210. [Google Scholar]
  38. Correa M, Arizzi MN, Betz A, Mingote S. Locomotor stimulant effects of intraventricular injections of low doses of ethanol in rats: acute and repeated administration. Psychopharmacology. 2003;170:368–375. doi: 10.1007/s00213-003-1557-0. [DOI] [PubMed] [Google Scholar]
  39. Corrigall WA, Coen KM, Zhang J, Adamson KL. Pharmacological manipulations of the pedunculopontine tegmental nucleus in the rat reduces self-administration of both nicotine and cocaine. Psychopharmacology. 2002;160:198–205. doi: 10.1007/s00213-001-0965-2. [DOI] [PubMed] [Google Scholar]
  40. Crombag HS, Badiani A, Chan J, Dell-Orco J, Dineen SP, Robinson TE. The ability of environmental context to facilitate psychomotor sensitization to amphetamine can be dissociated from its effect on acute drug responsiveness and on conditioned responding. Neuropsychopharmacology. 2001;24:680–690. doi: 10.1016/S0893-133X(00)00238-4. [DOI] [PubMed] [Google Scholar]
  41. Cunningham CL, Patel P. Rapid induction of Pavlovian approach to an ethanol-paired visual cue in mice. Psychopharmacology. 2007;192:231–241. doi: 10.1007/s00213-007-0704-4. [DOI] [PubMed] [Google Scholar]
  42. Dalley JW, Chudasama Y, Theobald DE, Pettifer CL, Fletcher CM, Robbins TW. Nucleus accumbens dopamine and discriminated approach learning: Interactive effects of 6-hydroxydopamine lesions and systemic apomorphine administration. Psychopharmacology. 2002;161:425–433. doi: 10.1007/s00213-002-1078-2. [DOI] [PubMed] [Google Scholar]
  43. Davey GCL, Cleland GG. Topography of signal-centered behavior in the rat: Effects of deprivation state and reinforcer type. J. Exp. Anal. Behav. 1982;38:291–204. doi: 10.1901/jeab.1982.38-291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Davey GCL, Oakley D, Cleland GC. Autoshaping in the rat: Effects of omission on the form of the response. J. Exp. Anal. Behav. 1981;36:75–91. doi: 10.1901/jeab.1981.36-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Day JJ, Carelli RM. The nucleus accumbens and Pavlovian reward learning. Neuroscientist. 2007;13:148–159. doi: 10.1177/1073858406295854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Di Chiara G, Bassareo V, Fenu S, De Luca MA, Spina L, Cadoni C, Acquas E, Carboni E, Valentini V, Lecca D. Dopamine and drug addiction: The nucleus accumbens shell connection. Neuropharmacology. 2004;47:227–241. doi: 10.1016/j.neuropharm.2004.06.032. [DOI] [PubMed] [Google Scholar]
  47. Di Ciano P, Cardinal RN, Cowell RA, Little SJ, Everitt BJ. Differential involvement of NMDA, AMPH/Kainate, and dopamine receptors in the nucleus accumbens core in the acquisition and performance of Pavlovian approach behavior. J. Neurosci. 2001;21:9471–9477. doi: 10.1523/JNEUROSCI.21-23-09471.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Di Ciano P, Everitt BJ. Differential control over drug-seeking behavior by drug-associate conditioned reinforcers and discriminative stimuli predictive of drug availability. Behav. Neurosci. 2003;117:952–960. doi: 10.1037/0735-7044.117.5.952. [DOI] [PubMed] [Google Scholar]
  49. Dom G, D'haene P, Hulstijn W, Sabbe B. Impulsivity in abstinent early- and late-onset alcoholics: Differences in self-report measures and a discounting task. Addiction. 2006a;101:50–59. doi: 10.1111/j.1360-0443.2005.01270.x. [DOI] [PubMed] [Google Scholar]
  50. Dom G, Hutstijn W, Sabbe B. Differences in impulsivity and sensation seeking between early- and late-onset alcoholics. Addictive Behav. 2006b;31:298–308. doi: 10.1016/j.addbeh.2005.05.009. [DOI] [PubMed] [Google Scholar]
  51. Epstein DH, Preston KL, Stewart J, Shanham Y. Toward a model of drug relapse: An assessment of the validity of the reinstatement procedure. Psychopharmacology. 2006;189:1–16. doi: 10.1007/s00213-006-0529-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Erb S, Funk D, Le AD. Prior, repeated exposure to cocaine potentiates locomotor responsivity to central injections of corticotrophin-releasing factor (CRF) in rats. Psychopharmacology. 2003;170:383–389. doi: 10.1007/s00213-003-1556-1. [DOI] [PubMed] [Google Scholar]
  53. Evenden JL, Ryan CN. The pharmacology of impulsive behavior in rats: The effects of drugs on response choice with varying delays of reinforcement. Psychopharmacology. 1996;128:161–170. doi: 10.1007/s002130050121. [DOI] [PubMed] [Google Scholar]
  54. Everitt BJ, Dickinson A, Robbins TW. The neuropsychological basis of addictive behaviour. Brain Res. Rev. 2001;36:129–136. doi: 10.1016/s0165-0173(01)00088-1. [DOI] [PubMed] [Google Scholar]
  55. Everitt BJ, Robbins TW. Neural systems of reinforcement for drug addiction: from actions to habits to compulsion. Nature Neurosci. 2005;8:1481–1489. doi: 10.1038/nn1579. [DOI] [PubMed] [Google Scholar]
  56. Fahlke C, Engel JA, Ericksson CJP, Hard E, Soderpalm B. Involvement of corticosterone in the modulation of ethanol consumption in the rat. Alcohol. 1994a;11:195–202. doi: 10.1016/0741-8329(94)90031-0. [DOI] [PubMed] [Google Scholar]
  57. Fahlke C, Hard E, Thomasson R, Engel JA, Hansen S. Metyrapone-induced suppression of corticosterone synthesis reduced ethanol consumption in high-preferring rats. Pharmacol. Biochem. Behav. 1994b;48:977–981. doi: 10.1016/0091-3057(94)90208-9. [DOI] [PubMed] [Google Scholar]
  58. Fattore L, Spano MS, Deiana S, Melis V, Cossu G, Fadda P, Fratta W. An endocannibinoid mechanism in relapse to drug seeking: A review of animal studies and clinical perspectives. Brain Res. Rev. 2007;53:1–16. doi: 10.1016/j.brainresrev.2006.05.003. [DOI] [PubMed] [Google Scholar]
  59. Fillmore MT, Rush CR. Impaired inhibitory control of behavior in chronic cocaine users. Drug Alcohol Depend. 2002;66:265–273. doi: 10.1016/s0376-8716(01)00206-x. [DOI] [PubMed] [Google Scholar]
  60. Flagel SB, Watson SJ, Akil H, Robinson TE. Individual differences in the attribution of incentive salience to a reward-related cue: Influence on cocaine sensitization. Behav. Brain Res. 2007b doi: 10.1016/j.bbr.2007.07.022. In press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Flagel SB, Watson SJ, Robinson TE, Akil H. Individual differences in the propensity to approach signals vs goals promote different adaptations in the dopamine system of rats. Psychopharmacology. 2007a;19:599–607. doi: 10.1007/s00213-006-0535-8. [DOI] [PubMed] [Google Scholar]
  62. Fouquereau E, Fernandez A, Mullet E, Sorum PC. Stress and the urge to drink. Addict. Behav. 2003;28:669–685. doi: 10.1016/s0306-4603(01)00276-3. [DOI] [PubMed] [Google Scholar]
  63. Fox HC, Berqquist KL, Hong KI, Sinha R. Stress-induced and alcohol cue-induced craving in recently abstinent alcohol-dependent individuals. Alcohol Clin. Exp. Res. 2007;31:395–403. doi: 10.1111/j.1530-0277.2006.00320.x. [DOI] [PubMed] [Google Scholar]
  64. Fukami G, Hashimoto K, Koike K, Okamura N, Shimizu E, Iyo M. Effect of antioxidant N-acetyl-L-cysteine on behavioral changes and neurotoxicity in rats after administration of methamphetamine. Brain Res. 2004;1016:90–95. doi: 10.1016/j.brainres.2004.04.072. [DOI] [PubMed] [Google Scholar]
  65. Gahtan E, LaBounty LP, Wyvell C, Carroll ME. The relationships among saccharin consumption, oral ethanol, and i.v. cocaine self-administration. Pharmacol. Biochem. Behav. 1996;53:919–925. doi: 10.1016/0091-3057(95)02148-5. [DOI] [PubMed] [Google Scholar]
  66. Ghitza UE, Fabbricatore AT, Prokopenko VF, Pawiak AP, West MO. Persistent cue-evoked activity of accumbens neurons after prolonged abstinence from self-administered cocaine. J. Neurosci. 2003;23:7239–7245. doi: 10.1523/JNEUROSCI.23-19-07239.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Ghitza UE, Fabbricatore AT, Prokopenko VF, West MO. Differences between accumbens core and shell neurons exhibiting phasic firing patterns related to drug-seeking behavior during a discriminative stimulus task. J. Neurophysiol. 2004;92:1608–1614. doi: 10.1152/jn.00268.2004. [DOI] [PubMed] [Google Scholar]
  68. Glasner SV, Overmier JB, Balleine BW. The role of Pavlovian cues in alcohol seeking in dependent and nondependent rats. J. Stud. Alcohol. 2005;66:53–61. doi: 10.15288/jsa.2005.66.53. [DOI] [PubMed] [Google Scholar]
  69. Goeders NE. Stress, motivation, and drug addiction. Current Dir. in Psychol. Sci. 2004;13:33–35. [Google Scholar]
  70. Grippo AJ, Sullivan NR, Damjanoska KJ, Crane JW, Carrasco GA, Shi J, Chen Z, Garcia F, Muma NA, Van de Kar LD. Chronic mild stress induces behavioral and physiological changes, and may alter serotonin 1A receptor function, in male and cycling female rats. Psychopharmacology. 2005;179:769–780. doi: 10.1007/s00213-004-2103-4. [DOI] [PubMed] [Google Scholar]
  71. Haile CN, During MJ, Jatlow PI, Kosten TR, Kosten TA. Disulfiram facilitates the development and expression of locomotor sensitization to cocaine in rats. Biol. Psychiatry. 2003;54:915–921. doi: 10.1016/s0006-3223(03)00241-5. [DOI] [PubMed] [Google Scholar]
  72. Haile CN, Kosten TA. Differential effects of D1- and D2-like compounds on cocaine self-administration in Lewis and Fischer 344 inbred rats. J. Pharmacol. Exp. Ther. 2001;299:509–518. [PubMed] [Google Scholar]
  73. Hammersley R. Cue exposure and learning theory. Addict. Beh. 1992;17:297–300. doi: 10.1016/0306-4603(92)90035-t. [DOI] [PubMed] [Google Scholar]
  74. Hansen S, Fahlke C, Hard E, Thomasson R. Effects of ibotenic-acid lesions of the ventral striatum and the medial prefrontal cortex on ethanol consumption in the rat. Alcohol. 1995;12:397–402. doi: 10.1016/0741-8329(95)00008-f. [DOI] [PubMed] [Google Scholar]
  75. Hearst E, Jenkins HM. Monogr. Psychonom. Soc. Austin, TX: Psychonomics; 1974. Sign tracking: The stimulus-reinforcer relation and directed action. [Google Scholar]
  76. Heinz A, Jones DW, Bissette G, Hommer D, Ragan P, Knable M, Weliek S, Linnoila M, Weinberger DR. Relationship between cortisol and serotonin metabolites and transporters in alcoholism. Pharmacopsychiatry. 2002;35:127–134. doi: 10.1055/s-2002-33197. [DOI] [PubMed] [Google Scholar]
  77. Heinz A, Siessmeier T, Wrase J, Hermann D, Klein S, Grusser SM, Flor H, Braus DF, Buchholz HG, Grunder G, Schreckenberger M, Smolka MN, Rosch F, Mann K, Bartenstein P. Correlation between dopamine D(2) receptors in the ventral striatum and central processing of alcohol cues and craving. Ann. J. Psychiatry. 2004;161:1783–1789. doi: 10.1176/appi.ajp.161.10.1783. [DOI] [PubMed] [Google Scholar]
  78. Higley JD, Linnoila M. A nonhuman primate model of excessive alcohol intake (personality and neurobiological parallels of type I- and type II-like alcoholism) In: Galanter M, editor. Recent Developments in Alcoholism. vol 13. New York: Plenum Press; 1997. pp. 191–219. [PubMed] [Google Scholar]
  79. Holland RC. Differential effects of omission contingencies on various components of Pavlovian appetitive conditioned responding in rats. J. Exp. Psychol. Animal Behav. Process. 1979;5:178–193. doi: 10.1037//0097-7403.5.2.178. [DOI] [PubMed] [Google Scholar]
  80. Hoshaw BA, Lewis MJ. Behavioral sensitization to ethanol in rats: Evidence from the Sprague-Dawley strain. Pharmacol. Biochem. Behav. 2001;68:685–690. doi: 10.1016/s0091-3057(01)00489-0. [DOI] [PubMed] [Google Scholar]
  81. Hunt WA, Lands WE. A role for behavioral sensitization in uncontrolled ethanol intake. Alcohol. 1992;9:327–328. doi: 10.1016/0741-8329(92)90075-l. [DOI] [PubMed] [Google Scholar]
  82. Inglis WL, Olmstead MC, Robbins TW. Pedunculopontine tegmental nucleus lesions impair stimulus-reward learning in autoshaping and conditioned reinforcement paradigms. Behav. Neurosci. 2000;114:285–294. doi: 10.1037//0735-7044.114.2.285. [DOI] [PubMed] [Google Scholar]
  83. Jentsch JD, Taylor JR. Impulsivity resulting from frontostriatal dysfunction in drug abuse: implications for the control of behavior by reward-related stimuli. Psychopharmacology. 1999;146:373–390. doi: 10.1007/pl00005483. [DOI] [PubMed] [Google Scholar]
  84. Junghanns K, Tietz U, Dibbelt L, Kuether M, Jurth R, Ehrenthal D, Blank S, Backhaus J. Attenuated salivary cortisol secretion under cue exposure is associated with early relapse. Alcohol Alcohol. 40:80–85. doi: 10.1093/alcalc/agh107. [DOI] [PubMed] [Google Scholar]
  85. Kabbaj M, Evans S, Watson SJ, Akil H. The search for the neurobiological basis of vulnerability to drug abuse: Using microarrays to investigate the role of stress and individual differences. Neuropharmacology. 2004;47:111–122. doi: 10.1016/j.neuropharm.2004.07.021. [DOI] [PubMed] [Google Scholar]
  86. Kalivas PW, McFarland K. Brain circuitry and the reinstatement of cocaine-seeking behavior. Psychopharmacology. 2003;168:44–56. doi: 10.1007/s00213-003-1393-2. [DOI] [PubMed] [Google Scholar]
  87. Kearns DN, Gomez-Serrano MA, Weiss SJ, Riley AL. A comparison of Lewis and Fischer rat strains on autoshaping (Sign-tracking), discrimination reversal learning and negative automaintenance. Behav. Brain Res. 2006 doi: 10.1016/j.bbr.2006.01.005. In press. [DOI] [PubMed] [Google Scholar]
  88. Kearns DN, Weiss SJ. Sign-tracking (autoshaping) in rats: A comparison of cocaine and food as unconditioned stimuli. Learn. Behav. 2004;32:463–476. doi: 10.3758/bf03196042. [DOI] [PubMed] [Google Scholar]
  89. Kelland MD, Freeman AS, Chiodo LA. Serotonergic afferent regulation of the basic physiology and pharmacological responsiveness of nigrostriatal dopamine neurons. J. Pharmacol. Exp. Ther. 1990;253:803–811. [PubMed] [Google Scholar]
  90. Killeen PR. Complex dynamic processes in sign tracking with an omission contingency (negative automaintenance) J. Exp Psychol Animal Behav. Proc. 2003;29:49–60. doi: 10.1037/0097-7403.29.1.49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Killeen PR, Hanson SI, Osborne SR. Arousal: Its genesis and manifestation as response rate. Psychol. Rev. 1978;85:571–581. [PubMed] [Google Scholar]
  92. Kilts CD, Schweitzer JB, Quinn CK, Gross RE, Faber TL, Muhammad F, Ely TD, Hoffman JM, Drexler KPG. Neural activity related to drug craving in cocaine addiction. Arch. Gen. Psychiatry. 2001;58:334–341. doi: 10.1001/archpsyc.58.4.334. [DOI] [PubMed] [Google Scholar]
  93. Koob GF. Stress, corticotrophin-releasing factor, and drug addiction. Ann. New York Acad. Sci. 1999;897:27–45. doi: 10.1111/j.1749-6632.1999.tb07876.x. [DOI] [PubMed] [Google Scholar]
  94. Koob GF. The neurobiology of addiction: A neuroadaptational view relevant for diagnosis. Brit. J. Addict. 2006;101:23–30. doi: 10.1111/j.1360-0443.2006.01586.x. [DOI] [PubMed] [Google Scholar]
  95. Koob GF, Bloom FE. Cellular and molecular mechanisms of drug dependence. Science. 1988;242:715–723. doi: 10.1126/science.2903550. [DOI] [PubMed] [Google Scholar]
  96. Kosten TA, Miserendino MJD, Haile CN, DeCaprio JL, Jatlow PL, Nestler EJ. Acquisition and maintenance of intravenous cocaine self-administration in Lewis and Fischer inbred rat strains. Brain Res. 1997;778:418–429. doi: 10.1016/s0006-8993(97)01205-5. [DOI] [PubMed] [Google Scholar]
  97. Krank MD. Pavlovian conditioning with ethanol: Sign-tracking (autoshaping), conditioned incentive, and ethanol self-administration. Alcohol. Clin. Exp. Res. 2003;27:1592–1598. doi: 10.1097/01.ALC.0000092060.09228.DE. [DOI] [PubMed] [Google Scholar]
  98. Kreek MJ, Nielsen DA, Butelman ER, LaForge KS. Genetic influences on impulsivity, risk taking, stress responsivity and vulnerability to drug abuse and addiction. Nature Neurosci. 2005;8:1450–1457. doi: 10.1038/nn1583. [DOI] [PubMed] [Google Scholar]
  99. Kruzich PJ, Congleton KM, See RE. Conditioned reinstatement of drug-seeking behavior with a discrete compound stimulus classically conditioned with intravenous cocaine. Behav. Neurosci. 2001;115:1086–1092. doi: 10.1037//0735-7044.115.5.1086. [DOI] [PubMed] [Google Scholar]
  100. Le AD, Harding S, Juzytsch W, Funk D, Shaham Y. Role of alpha-2 adrenoceptors in stress-induced reinstatement of alcohol seeking and alcohol self-administration in rats. Psychopharmacology. 2005;179:366–373. doi: 10.1007/s00213-004-2036-y. [DOI] [PubMed] [Google Scholar]
  101. Lessov C, Phillips TJ. Duration of sensitization to the locomotor stimulant effects of ethanol in mice. Psychopharmacology. 1998;135:374–382. doi: 10.1007/s002130050525. [DOI] [PubMed] [Google Scholar]
  102. Levy AD, Baumann MH, Van de Kar LD. Monoaminergic regulation of neuroendocrine function and its modification by cocaine. Front. Neuroendocrinol. 1994;15:86–156. doi: 10.1006/frne.1994.1006. [DOI] [PubMed] [Google Scholar]
  103. Locurto CM. Contributions of autoshaping to the partitioning of conditioned behavior. In: Locurto CM, Terrace HS, Gibbon J, editors. Autoshaping and Conditioning Theory. New York: Academic Press; 1981. pp. 101–135. [Google Scholar]
  104. Loeber S, Croissant B, Heinz A, Mann K, Flor H. Cue exposure in the treatment of alcohol dependence: Effects on drinking outcome, craving and self-efficacy. Brit. J. Clin. Psychol. 2006;45:515–529. doi: 10.1348/014466505X82586. [DOI] [PubMed] [Google Scholar]
  105. Lopez JR, Chalmers DT, Little KY, Watson SJ. Regulation of serotonin-sub(1A), glucocorticoid, and mineralocorticoid receptor in rat and human hippocampus: Implications for the neurobiology of depression. Biol. Psychol. 1998;43:547–573. doi: 10.1016/s0006-3223(97)00484-8. [DOI] [PubMed] [Google Scholar]
  106. Lopez JF, Liberzon I, Vazquez DM, Young EA, Watson SJ. Serotonin 1A receptor messenger RNA regulation in the hippocampus after acute stress. Biol. Psych. 1999;45:934–937. doi: 10.1016/s0006-3223(98)00224-8. [DOI] [PubMed] [Google Scholar]
  107. Lucas LR, Angulo JA, Le Moal M, McEwen BS, Piazza PV. Neurochemical characterization of individual vulnerability to addictive drugs in rats. Eur. J. Neurosci. 1998;10:3153–3163. doi: 10.1046/j.1460-9568.1998.00321.x. [DOI] [PubMed] [Google Scholar]
  108. Lynch WJ, Carroll ME. Sex differences in the acquisition of intravenously self-administered cocaine and heroin in rats. Psychopharmacology. 1999;144:77–82. doi: 10.1007/s002130050979. [DOI] [PubMed] [Google Scholar]
  109. Lynch WJ, Roth ME, Mickelberg JL, Carroll ME. Role of estrogen in the acquisition of intravenously self-administered cocaine in female rats. Pharmacol. Biochem. Behav. 2001;68:641–646. doi: 10.1016/s0091-3057(01)00455-5. [DOI] [PubMed] [Google Scholar]
  110. Mantsch JR, Katz ES. Elevation of glucocorticoids is necessary but not sufficient for the escalation of cocaine self-administration by chronic electric footshock stress in rats. Neuropsychopharmacology. 2007;32:367–376. doi: 10.1038/sj.npp.1301077. [DOI] [PubMed] [Google Scholar]
  111. Marinelli M, Piazza PV. Interaction between glucocorticoid hormones, stress and psychostimulant drugs. Eur. J. Neurosci. 2002;16:87–394. doi: 10.1046/j.1460-9568.2002.02089.x. [DOI] [PubMed] [Google Scholar]
  112. Marlatt GA. Cue exposure and relapse prevention in the treatment of addictive behaviors. Addict. Behav. 1990;15:395–399. doi: 10.1016/0306-4603(90)90048-3. [DOI] [PubMed] [Google Scholar]
  113. Marshall JF, Belcher AM, Feinstein EM, O'Dell SJ. Methamphetamine-induced neural and cognitive changes in rodents. Addict. 2007;102:61–69. doi: 10.1111/j.1360-0443.2006.01780.x. [DOI] [PubMed] [Google Scholar]
  114. Martin S, Manzanares J, Corchero J, Cargia-Lecumberri C, Crespo JA, Fuentes JA, Ambrosio E. Differential basal proenkephalin gene expression in dorsal striatum and nucleus accumbens, and vulnerability to morphine self-administration in Fischer 344 and Lewis rats. Brain Res. 1999;21:350–355. doi: 10.1016/s0006-8993(99)01122-1. [DOI] [PubMed] [Google Scholar]
  115. Martinelli M, Piazza PV. Interaction between glucocorticoid hormones, stress, and psychostimulant drugs. Eur. J. Neurosci. 2002;16:387–394. doi: 10.1046/j.1460-9568.2002.02089.x. [DOI] [PubMed] [Google Scholar]
  116. Masur J, De Souza ML, Zwicker AP. The excitatory effect of ethanol absence in rats, no tolerance and increased sensitivity in mice. Pharmacol. Biochem. Behav. 1986;24:1225–1228. doi: 10.1016/0091-3057(86)90175-9. [DOI] [PubMed] [Google Scholar]
  117. Matell MS, King GR, Meck WH. Differential modulation of clock speed by the administration of intermittent versus continuous cocaine. Behav. Neurosci. 2004;118:150–156. doi: 10.1037/0735-7044.118.1.150. [DOI] [PubMed] [Google Scholar]
  118. Mattingly BA, Hart TC, Lim K, Perkins C. Selective antagonism of dopamine D-sub-1 and D-sub-2 receptors does not block the development of behavioral sensitization to cocaine. Psychopharmacology. 1994;114:239–242. doi: 10.1007/BF02244843. [DOI] [PubMed] [Google Scholar]
  119. Meneses A, Manuel-Apolinar L, Rocha L, Castillo E, Castillo C. Expression of the 5-HT receptors in rat brain during memory consolidation. Behav. Brain Res. 2004;152:425–436. doi: 10.1016/j.bbr.2003.10.037. [DOI] [PubMed] [Google Scholar]
  120. Merali Z, McIntosh J, Kent P, Michaud D, Anisman H. Aversive and appetitive events evoke the release of corticotrophin-releasing hormone and bombesin-like peptides at the central nucleus of the amygdala. J. Neurosci. 1998;18:4758–4766. doi: 10.1523/JNEUROSCI.18-12-04758.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. Monterrosso J, Ainslie G. Beyond discounting: possible experimental models of impulse control. Psychopharmacology. 1999;146:339–347. doi: 10.1007/pl00005480. [DOI] [PubMed] [Google Scholar]
  122. Monti PM, Rohsenow D, Swift RM, Gulliver SB, Colby SM, Mueller TI, Brown RA, Gordon A, Abrams DB, Niaura RS, Asher MK. Naltrexone and cue exposure with coping and communication skills training for alcoholics: Treatment process and 1-year outcomes. Alco. Clin. Exp. Res. 2001;25:1634–1647. [PubMed] [Google Scholar]
  123. Morin LP, Forger NG. Endocrine control of ethanol intake by rats or by hamsters: Relative contributions of the ovaries, adrenals and steroids. Pharmacol. Biochem. Behav. 1982;17:529–537. doi: 10.1016/0091-3057(82)90315-x. [DOI] [PubMed] [Google Scholar]
  124. Nesby P, Vanderschuren LJ, De Vries TJ, Hogenboom F, Wardeh G, Mulder AH, Schoffelmeer AN. Ethanol, like psychomotor stimulants and morphine, causes long-lasting hyperreactivity of dopamine and acetylcholine neurons of rat nucleus accumbens: Possible role in behavioral sensitization. Psychopharmacology. 1997;133:69–76. doi: 10.1007/s002130050373. [DOI] [PubMed] [Google Scholar]
  125. Newlin DB. The self-perceived survival ability and reproductive fitness (SPFit) theory of substance use disorders. Addict. 2002;97:427–445. doi: 10.1046/j.1360-0443.2002.00021.x. [DOI] [PubMed] [Google Scholar]
  126. Newlin DB, Thomson JB. Chronic tolerance and sensitization to alcohol in sons of alcoholics. Alcohol. Clin. Exp. Res. 1991;15:399–405. doi: 10.1111/j.1530-0277.1991.tb00537.x. [DOI] [PubMed] [Google Scholar]
  127. Novakoval J, Vinklerova J, Sulcova A. The role of 5-HT1A receptor in methamphetamine dependence in rats. Homeostasis Health Disease. 2000;40:252–253. [Google Scholar]
  128. Ojanen SP, Hyytia P, Kiianmaa K. Behavioral sensitization and voluntary ethanol drinking in alcohol-preferring AA rats exposed to different regimens of morphine treatment. Pharmacol. Biochem. Behav. 2005;80:221–228. doi: 10.1016/j.pbb.2004.11.012. [DOI] [PubMed] [Google Scholar]
  129. Olmstead MC. Animal models of drug addiction: Where do we go from here? Q. J. Exp. Psychol. 2006;59:625–653. doi: 10.1080/17470210500356308. [DOI] [PubMed] [Google Scholar]
  130. Olmstead MC, Franklin KBJ. Lesions of the pedunculopontine tegmental nucleus block drug-induced reinforcement but not amphetamine-induced locomotion. Brain Res. 1994;638:29–35. doi: 10.1016/0006-8993(94)90629-7. [DOI] [PubMed] [Google Scholar]
  131. Panlilio LV, Weiss SJ, Schindler CW. Cocaine self-administration increased by compounding discriminative stimuli. Psychopharmacology. 1996;125:202–208. doi: 10.1007/BF02247329. [DOI] [PubMed] [Google Scholar]
  132. Parkinson JA, Dalley JW, Cardinal RN, Bamford A, Fehnert B, Lachenal G, Rudarakanchana N, Halkerston KM, Robbins TW, Everitt BJ. Nucleus accumbens dopamine depletion impairs both acquisition and performance of appetitive Pavlovian approach behaviour: Implications for mescoaccumbens dopamine function. Behav. Brain Res. 2002;137:149–163. doi: 10.1016/s0166-4328(02)00291-7. [DOI] [PubMed] [Google Scholar]
  133. Parkinson JA, Olmstead MC, Burns LH, Robbins TW, Everitt BJ. Dissociation of effects of lesions of the nucleus accumbens core and shell on appetitive Pavlovian approach behavior and the potentiation of conditioned reinforcement and locomotor activity by d-amphetamine. J. Neurosci. 1999;19:2401–2411. doi: 10.1523/JNEUROSCI.19-06-02401.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Parkinson JA, Willoughby PJ, Robbins TW, Everitt BJ. Disconnection of the anterior cingulate cortex and nucleus accumbens core impairs Pavlovian approach behavior: Further evidence for limbic cortical-ventral striatopallidal systems. Behav. Neurosci. 2000;114:42–63. [PubMed] [Google Scholar]
  135. Patton JH, Stanford MS, Baratt ES. Factor structure of the Barratt Impulsivness Scale. J. Clin. Psychol. 1995;51:768–774. doi: 10.1002/1097-4679(199511)51:6<768::aid-jclp2270510607>3.0.co;2-1. [DOI] [PubMed] [Google Scholar]
  136. Paulson PE, Robinson TE. Sensitization to systemic amphetamine produces an enhanced locomotor response to a subsequent intra-accumbens amphetamine challenge in rats. Psychopharmacology. 1991;104:140–141. doi: 10.1007/BF02244569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  137. Pecins-Thompson M, Peris J. Behavioral and neurochemical changes caused by repeated ethanol and cocaine administration. Psychopharmacology. 1993;110:443–450. doi: 10.1007/BF02244651. [DOI] [PubMed] [Google Scholar]
  138. Perry JL, Larson EB, German JB, Madden GJ, Carroll ME. Impulsivity (delay discounting) as a predictor of acquisition of IV cocaine self-administration in female rats. Psychopharmacology. 2005;178:193–201. doi: 10.1007/s00213-004-1994-4. [DOI] [PubMed] [Google Scholar]
  139. Phillips GD, Setzu E, Hitchcott PK. Facilitation of appetitive Pavlovian conditioning by d-amphetamine in the shell, but not the core, of the nucleus accumbens. Behav. Neurosci. 2003a;117:675–684. doi: 10.1037/0735-7044.117.4.675. [DOI] [PubMed] [Google Scholar]
  140. Phillips GD, Setzu E, Vugler A, Hitchcott PK. Immunohistochemical assessment of mesocorticolimbic dopamine activity during the acquisition and expression of Pavlovian vs. Instrumental behaviours. Neurosci. 2003b;117:755–767. doi: 10.1016/s0306-4522(02)00799-6. [DOI] [PubMed] [Google Scholar]
  141. Phillips GD, Setzu E, Vugler A, Hitchcott PK. An immunohistochemical examination of the effects of sensitization on mesotelencephalic dopaminergic response to d-amphetamine. Neurosci. 2003c;117:741–753. doi: 10.1016/s0306-4522(02)00800-x. [DOI] [PubMed] [Google Scholar]
  142. Phillips TJ, Roberts AJ, Lessov CN. Behavioral sensitization to ethanol: Genetics and the effects of stress. Pharmacol. Biochem. Behav. 1997;57:487–493. doi: 10.1016/s0091-3057(96)00448-0. [DOI] [PubMed] [Google Scholar]
  143. Piazza PV, Deminiere JM, Le Moal M, Simon H. Factors that predict individual vulnerability to amphetamine self-administration. Science. 1989;245:1511–1513. doi: 10.1126/science.2781295. [DOI] [PubMed] [Google Scholar]
  144. Piazza PV, Le Moal M. Pathophysiological basis of vulnerability to drug abuse: Role of an interaction between stress, glucocorticoids, and dopaminergic neurons. Ann. Rev. Pharmacol. Toxicol. 1996;36:359–378. doi: 10.1146/annurev.pa.36.040196.002043. [DOI] [PubMed] [Google Scholar]
  145. Piazza PV, Rouge-Pont F, Deminiere JM, Kharoubi M, Le Moal M, Simon H. Dopaminergic activity is reduced in the prefrontal cortex and increased in the nucleus accumbens of rats pre-disposed to develop amphetamine self-administration. Brain Res. 1991;567:169–174. doi: 10.1016/0006-8993(91)91452-7. [DOI] [PubMed] [Google Scholar]
  146. Poulos CX, Le AD, Parker JL. Impulsivity predicts individual susceptibility to high levels of alcohol self-administration. Behav. Pharmacol. 1995;6:810–814. [PubMed] [Google Scholar]
  147. Poulos CX, Parker JL, Le AD. Alcohol dose dependently augments impulsivity in an animal model. Alcohol. Clin. Exp. Res. 1997;21:10a. [Google Scholar]
  148. Poulos CX, Parker JL, Le AD. Increased impulsivity after injected alcohol predicts later alcohol consumption in rats: Evidence for “loss-of-control drinking” and marked individual differences. Behav. Neurosci. 1998;112:1247–1257. doi: 10.1037//0735-7044.112.5.1247. [DOI] [PubMed] [Google Scholar]
  149. Prasad C, Prasad A. A relationship between increased voluntary alcohol preference and basal hypercorticosteronemia associated with an attenuated rise in corticosterone output during stress. Alcohol. 1995;12:59–63. doi: 10.1016/0741-8329(94)00070-t. [DOI] [PubMed] [Google Scholar]
  150. Quadros IMH, Souza-Formigoni MLO, Fornari RV, Nobrega JN, Oliveira MGM. Is behavioral sensitization to ethanol associated with contextual conditioning in mice? Behav. Pharmacol. 2003;14:129–136. doi: 10.1097/00008877-200303000-00004. [DOI] [PubMed] [Google Scholar]
  151. Rebec GV. Real-time assessments of dopamine function during behavior: single-unit recording, iontophoresis, and fast-scan cyclic voltammetry in awake, unrestrained rats. Alcohol. Clin. Exp. Res. 1998;22:32–40. doi: 10.1111/j.1530-0277.1998.tb03614.x. [DOI] [PubMed] [Google Scholar]
  152. Rescorla RA. Spontaneous recovery varies inversely with the training-extinction interval. Learn. Behav. 2004;32:401–408. doi: 10.3758/bf03196037. [DOI] [PubMed] [Google Scholar]
  153. Rescorla RA. Spontaneous recovery of excitation but not inhibition. J. Exp. Psychol. Anim. Behav. Process. 2005;31:277–288. doi: 10.1037/0097-7403.31.3.277. [DOI] [PubMed] [Google Scholar]
  154. Rescorla RA. Deepened extinction from compound stimulus presentation. J. Exp. Psychol. Anim. Behav. Process. 2006;32:135–144. doi: 10.1037/0097-7403.32.2.135. [DOI] [PubMed] [Google Scholar]
  155. Robbins SJ. Mechanisms underlying spontaneous recovery in autoshaping. J. Exp. Psychol. Anim. Behav. Process. 1990;16:235–249. [Google Scholar]
  156. Robbins TW, Everitt BJ. Interaction of the dopaminergic system with mechanisms of associative learning and cognition: Implications for drug abuse. Psychol. Sci. 1999;10:199–202. [Google Scholar]
  157. Robinson TE. Behavioral sensitization: Characterization of enduring changes in rotational behavior produced by intermittent injections of amphetamine in male and female rats. Psychopharmacology. 1984;84:466–475. doi: 10.1007/BF00431451. [DOI] [PubMed] [Google Scholar]
  158. Robinson TE, Becker JB. Enduring changes in brain and behavior produced by chronic amphetamine administration: A review and evaluation of animal models of amphetamine administration. Brain Res. Rev. 1986;11:157–198. doi: 10.1016/s0006-8993(86)80193-7. [DOI] [PubMed] [Google Scholar]
  159. Robinson TE, Berridge KC. The neural basis of drug craving: An incentive-sensitization theory of addiction. Brain. Res. Rev. 1993;18:247–291. doi: 10.1016/0165-0173(93)90013-p. [DOI] [PubMed] [Google Scholar]
  160. Robinson TE, Berridge KC. The psychology and neurobiology of addiction: An incentive-sensitization view. Addict. 2000;95:S91–S117. doi: 10.1080/09652140050111681. [DOI] [PubMed] [Google Scholar]
  161. Robinson TE, Berridge KC. Incentive-sensitization and addiction. Addict. 2001;96:103–114. doi: 10.1046/j.1360-0443.2001.9611038.x. [DOI] [PubMed] [Google Scholar]
  162. Rohsenow DJ, Monti PM, Rubonis AV, Sirota AD, Niaura RS, Colby S, Wunschel SM, Abrahsm DB. Cue reactivity as a predictor of drinking among male alcoholics. J. Consult. Clin. Psychol. 1994;62:620–626. doi: 10.1037//0022-006x.62.3.620. [DOI] [PubMed] [Google Scholar]
  163. Roth ME, Casimir AG, Carroll ME. Influence of estrogen in the acquisition of intravenously self-administered heroin in female rats. Pharmacol. Biochem. Behav. 2002;72:313–318. doi: 10.1016/s0091-3057(01)00777-8. [DOI] [PubMed] [Google Scholar]
  164. Rothman RB, Partilla JS, Dersch CM, Carroll FI, Rice KC, Baumann MH. Methamphetamine dependence: medication development efforts based on the dual deficit model of stimulant addiction. In: Ali SF, editor. Neurobiological mechanisms of drugs of abuse: cocaine, ibogaine, and substituted amphetamines. New York, NY: New York Academy of Sciences; 2000. pp. 71–81. [DOI] [PubMed] [Google Scholar]
  165. Rouge-Pont F, Piazza PV, Kharouby M, Le Moal M, Simon H. Higher and longer stress-induced increase in dopamine concentrations in the nucleus accumbens of animals predisposed to amphetamine self-administration: A microdialysis study. Brain Res. 1993;602:169–174. doi: 10.1016/0006-8993(93)90260-t. [DOI] [PubMed] [Google Scholar]
  166. Saal D, Dong Y, Bond A, Malenka RC. Drugs of abuse and stress trigger a common synaptic adaption in dopamine neurons. Neuron. 2003;37:577–582. doi: 10.1016/s0896-6273(03)00021-7. [DOI] [PubMed] [Google Scholar]
  167. Salamone JD. Complex motor and sensorimotor functions of striatal and accumbens dopamine: Involvement in instrumental behavior processes. Psychopharmacology. 1992;10:160–174. doi: 10.1007/BF02245133. [DOI] [PubMed] [Google Scholar]
  168. Salomon L, Lanteri C, Glowinski J, Tassin J, Palmiter RD. Behavioral sensitization to amphetamine results from an uncoupling between noradrenergic and serotonergic neurons. Proc. Nat. Acad. Sci. 2006;103:7476–7481. doi: 10.1073/pnas.0600839103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  169. Samson HH, Chappell A. Injected muscimol in pedunculopontine tegmental nucleus alters ethanol self-administration. Alcohol. 2001;23:41–48. doi: 10.1016/s0741-8329(00)00122-1. [DOI] [PubMed] [Google Scholar]
  170. Schenk S, Partridge B. Sensitization to cocaine’s reinforcing effects produced by various cocaine pretreatment regimens in rats. Pharmacol. Biochem. Behav. 2000;66:765–770. doi: 10.1016/s0091-3057(00)00273-2. [DOI] [PubMed] [Google Scholar]
  171. Schreiber R, Manze B, Haussels A, De Vry J. Effects of the 5-HT−1A receptor agonist ipsapirone on operant self-administration of ethanol in the rat. Eur. Neuropsychopharmacol. 1999;10:37–42. doi: 10.1016/s0924-977x(99)00046-2. [DOI] [PubMed] [Google Scholar]
  172. Schwartz B, Gamzu E. Pavlovian control of operant behavior: An analysis of autoshaping and its implications for operant conditioning. In: Honig WK, Staddon JER, editors. Handbook of Operant Behavior. Englewood Cliffs, NJ: Prentice Hall; 1977. pp. 53–79. [Google Scholar]
  173. Sellings LHL, Clarke PBS. Segregation of amphetamine reward and locomotor stimulation between nucleus accumbens medial shell and core. J. Neurosci. 2003;23:6295–6303. doi: 10.1523/JNEUROSCI.23-15-06295.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  174. Serwatkiewicz C, Limebeer C, Eikelboom R. Sensitization of amphetamine-induced wheel running suppression in rats: Dose and context factors. Psychopharmacology. 2000;151:219–225. doi: 10.1007/s002130000446. [DOI] [PubMed] [Google Scholar]
  175. Sherman JE, Jorenby MS, Baker TB. Classical conditioning with alcohol: Acquired preferences and aversions, tolerance and urges/cravings. In: Wilkinson DA, Chandron D, editors. Theories of Alcoholism. Toronto: Addiction Research Foundation; 1989. pp. 173–237. [Google Scholar]
  176. Siegel S. Pharmacological conditioning and drug effects. In: Goudie AJ, Emmett-Oglesby MW, editors. Psychoactive Drugs: Tolerance and Sensitization. Contemporary Neuroscience. Totowa, NJ: Humana Press; 1989. pp. 115–180. [Google Scholar]
  177. Simon H, Gabhzouti K, Gozlan H, Studler JM, Louilot A, Herve D, Glowinski J, Tassin JP, Le Moal M. Lesion of dopaminergic terminals in the amygdale produces enhanced locomotor response to D-amphetamine and opposite changes in dopaminergic activity in prefrontal cortex and nucleus accumbens. Brain Res. 1988;447:335–340. doi: 10.1016/0006-8993(88)91136-5. [DOI] [PubMed] [Google Scholar]
  178. Sinha R, Li C. Imaging stress- and cue-induced drug and alcohol craving: Association with relapse and clinical implications. Drug Alcohol Rev. 2007;26:25–31. doi: 10.1080/09595230601036960. [DOI] [PubMed] [Google Scholar]
  179. Sorg BA, Kalivas PW. Effects of cocaine and footshock stress on extracellular dopamine levels in the ventral striatum. Brain Res. 1991;1991:29–36. doi: 10.1016/0006-8993(91)90283-2. [DOI] [PubMed] [Google Scholar]
  180. Sorge RE, Stewart J. The contribution of drug history and time since termination of drug taking on footshock stress-induced cocaine seeking in rats. Psychopharmacology. 2005;183:210–217. doi: 10.1007/s00213-005-0160-y. [DOI] [PubMed] [Google Scholar]
  181. Specker SM, Lac ST, Carroll ME. Food deprivation history and cocaine self-administration: An animal model of binge eating. Pharmacol. Biochem. Behav. 1994;48:1025–1029. doi: 10.1016/0091-3057(94)90215-1. [DOI] [PubMed] [Google Scholar]
  182. Steiniger B. Effects of ibotenate pedunculopontine tegmental nucleus lesions on exploratory behaviour in the open field. Behav. Brain Res. 2004;151:17–23. doi: 10.1016/j.bbr.2003.08.001. [DOI] [PubMed] [Google Scholar]
  183. Steiniger-Brach B, Kretschmer BD. Different function of pedunculopontine GABA and glutamate receptors in nucleus accumbens dopamine, pedunculopontine glutamate and operant discriminative behavior. Eur. J. Neurosci. 2005;22:1720–1727. doi: 10.1111/j.1460-9568.2005.04361.x. [DOI] [PubMed] [Google Scholar]
  184. Stewart J. Pathways to relapse: The neurobiology of drug- and stress-induced relapse to drug-taking. J. Psychol. Neurosci. 2000;25:125–136. [PMC free article] [PubMed] [Google Scholar]
  185. Stewart J. Stress and relapse to drug seeking: Studies in laboratory animals shed light on mechanisms and sources of long-term vulnerability. Amer. J. Addict. 2003;12:1–17. [PubMed] [Google Scholar]
  186. Stewart J. Pathways to relapse: Factors controlling the reinitiation of drug seeking after abstinence. In: Bevins RA, Bardo MT, editors. Motivational Factors in the Etiology of Drug Abuse. Lincoln, NE: University of Nebraska Press; 2004. pp. 197–234. [PubMed] [Google Scholar]
  187. Stewart J, de Wit H, Eikelboom R. Role of unconditioned and conditioned drug effects in the self-administration of opiates and stimulants. Psychol. Rev. 1984;91:251–268. [PubMed] [Google Scholar]
  188. Suzuki T, George FR, Meisch RA. Differential establishment and maintenance of oral ethanol reinforced behavior in Lewis and Fischer 344 inbred rat strains. J. Pharmacol. Exp. Ther. 1988;145:162–170. [PubMed] [Google Scholar]
  189. Svrakic DM, Przybeck TR, Whitehead C, Clonger CR. Emotional traits and personality dimensions. In: Cloninger CR, editor. Personality and Psychopathology. Washington DC: American Psychiatric Association; 1999. pp. 245–265. [Google Scholar]
  190. Thomas BL, Papini M. Adrenalectomy eliminates the extinction spike in autoshaping with rats. Physiol Behav. 2001;72:543–547. doi: 10.1016/s0031-9384(00)00448-0. [DOI] [PubMed] [Google Scholar]
  191. Tidey JW, Miczek KA. Acquisition of cocaine self-administration after social stress: Role of accumbens dopamine. Psychopharmacology. 1997;130:203–212. doi: 10.1007/s002130050230. [DOI] [PubMed] [Google Scholar]
  192. Tomie A. Effects of unpredictable food upon the subsequent acquisition of autoshaping: Analysis of the context blocking hypothesis. In: Locurto CM, Terrace HS, Gibbon J, editors. Autoshaping and Conditioning Theory. New York: Academic Press; 1981. pp. 181–215. [Google Scholar]
  193. Tomie A. CAM: An animal learning model of excessive and compulsive implement-assisted drug-taking in humans. Clin. Psychol. Rev. 1995a;15:145–167. [Google Scholar]
  194. Tomie A. Self-regulation and animal behavior. Commentary on Baumeister, R. F., & Heatherton, T. F. Self-regulation failure: An overview. Psychol. Inquiry. 1995b;7:83–85. [Google Scholar]
  195. Tomie A. Locating reward cue at response manipulandum (CAM) induces symptoms of drug abuse. Neurosci. Biobehav. Rev. 1996;20:505–535. doi: 10.1016/0149-7634(95)00023-2. [DOI] [PubMed] [Google Scholar]
  196. Tomie A. Autoshaping and drug-taking. In: Mowrer RR, Klein SB, editors. Handbook of Contemporary Learning Theories. Mahwah, NJ: Erlbaum; 2001. pp. 409–439. [Google Scholar]
  197. Tomie A, Aguado AS, Pohorecky LA, Benjamin D. Ethanol induces impulsive-like responding in a delay-of-reward operant choice procedure: Impulsivity predicts autoshaping. Psychopharmacology. 1998a;139:376–382. doi: 10.1007/s002130050728. [DOI] [PubMed] [Google Scholar]
  198. Tomie A, Aguado AS, Pohorecky LA, Benjamin D. Individual differences in Pavlovian autoshaping of lever pressing in rats predict stress-induced corticosterone release and mesolimbic levels of monoamines. Pharmacol. Biochem. Behav. 2000;65:509–517. doi: 10.1016/s0091-3057(99)00241-5. [DOI] [PubMed] [Google Scholar]
  199. Tomie A, Brooks W, Zito B. Sign-tracking: The search for reward. In: Klein SB, Mowrer RR, editors. Contemporary Learning Theories: Pavlovian Conditioning and the Status of Traditional Learning Theory. Hillsdale, NJ: Erlbaum; 1989. pp. 191–223. [Google Scholar]
  200. Tomie A, Cunha C, Mosakowski E, Quartarolo N, Pohorecky L, Benjamin D. Effects of ethanol on Pavlovian autoshaping in rats. Psychopharmacology. 1998b;139:154–159. doi: 10.1007/s002130050700. [DOI] [PubMed] [Google Scholar]
  201. Tomie A, Di Poce J, Aguado A, Janes A, Benjamin D, Pohorecky L. Effects of autoshaping procedures on 3H-8-OH-DPAT-labeled 5-HT-sub(1a) binding and I-125-LSD-labeled 5-HT-sub(2a) binding in rat brain. Brain Res. 2003a;975:167–178. doi: 10.1016/s0006-8993(03)02631-3. [DOI] [PubMed] [Google Scholar]
  202. Tomie A, Di Poce J, DeRenzo C, Pohorecky LA. Autoshaping of ethanol drinking: An animal model of binge drinking. Alcohol Alcohol. 2002a;37:138–146. doi: 10.1093/alcalc/37.2.138. [DOI] [PubMed] [Google Scholar]
  203. Tomie A, Gittleman J, Dranoff E, Pohorecky LA. Social interaction opportunity and intermittent presentations of ethanol sipper tube induce ethanol drinking in rats. Alcohol. 2005a;35:43–55. doi: 10.1016/j.alcohol.2004.11.005. [DOI] [PubMed] [Google Scholar]
  204. Tomie A, Hayden M, Biehl D. Effects of response elimination procedures upon the subsequent reacquisition of autoshaping. Animal Learn. Behav. 1980;11:117–134. [Google Scholar]
  205. Tomie A, Hosszu R, Rosenberg RH, Gittleman J, Patterson-Buckendahl P, Pohorecky LA. An inter-gender effect on ethanol drinking in rats: Proximal females increase ethanol drinking in males. Pharmacol. Biochem. Behav. 2006a;83:307–313. doi: 10.1016/j.pbb.2006.02.012. [DOI] [PubMed] [Google Scholar]
  206. Tomie A, Kruse JM. Retardation tests of inhibition following discriminative autoshaping. Animal Learn. Behav. 1980;8:402–408. [Google Scholar]
  207. Tomie A, Kuo T, Apor KR, Salomon KE, Pohorecky LA. Autoshaping induces ethanol drinking in nondeprived rats: Evidence of long-term retention but no induction of ethanol preference. Pharmacol. Biochem. Behav. 2004a;77:797–804. doi: 10.1016/j.pbb.2004.02.005. [DOI] [PubMed] [Google Scholar]
  208. Tomie A, Miller WC, Dranoff E, Pohorecky LA. Intermittent presentations of ethanol sipper tube induce ethanol drinking in rats. Alcohol Alcohol. 2006b;41:225–230. doi: 10.1093/alcalc/agl002. [DOI] [PubMed] [Google Scholar]
  209. Tomie A, Mohamed WM, Pohorecky LA. Effects of age on Pavlovian autoshaping of ethanol drinking in non-deprived rats. Int. J. Comp. Psychol. 2005b;18:167–177. [Google Scholar]
  210. Tomie A, Rohr-Stafford I, Schwam KT. The retarding effects of the TRC response elimination procedure upon the subsequent reacquisition of autoshaping: Comparison of between- and within-subjects assessment procedures and evaluation of the role of background contextual stimuli. Animal Learn. Behav. 1981;9:230–238. [Google Scholar]
  211. Tomie A, Silberman Y, Williams K, Pohorecky LA. Pavlovian autoshaping procedures increase plasma corticosterone levels in rats. Pharmacol. Biochem. Behav. 2002b;72:507–513. doi: 10.1016/s0091-3057(01)00781-x. [DOI] [PubMed] [Google Scholar]
  212. Tomie A, Sparta DR, Silberman Y, Interlandi J, Mynko A, Patterson-Buckendahl P, Pohorecky LA. Pairings of ethanol sipper with food induces Pavlovian autoshaping in rats: Evidence of long-term retention and effects of sipper duration. Alcohol Alcohol. 2002c;37:547–554. doi: 10.1093/alcalc/37.6.547. [DOI] [PubMed] [Google Scholar]
  213. Tomie A, Tirado AD, Yu L, Pohorecky LA. Pavlovian autoshaping procedures increase plasma corticosterone and levels of norepinephrine and serotonin in prefrontal cortex in rats. Behav. Brain Res. 2004b;153:97–105. doi: 10.1016/j.bbr.2003.11.006. [DOI] [PubMed] [Google Scholar]
  214. Tomie A, Wong K, Apor K, Patterson-Buckendahl P, Pohorecky LA. Autoshaping of ethanol drinking in rats: Effects of ethanol concentration and trial spacing. Alcohol. 2003c;31:125–135. doi: 10.1016/j.alcohol.2003.08.003. [DOI] [PubMed] [Google Scholar]
  215. Tomie A, Wong L, Pohorecky LA. Autoshaping of chlordiazepoxide drinking in non-deprived rats. Behav. Brain Res. 2004e;157:273–281. doi: 10.1016/j.bbr.2004.07.004. [DOI] [PubMed] [Google Scholar]
  216. Trafton CL, Marquez PR. Effects of septal area and cingulate cortex lesions on opiate addiction behavior in rats. J. Comp. Physiol. Psychol. 1971;75:277–285. doi: 10.1037/h0030810. [DOI] [PubMed] [Google Scholar]
  217. Uslaner JM, Acerbo MJ, Jones SA, Robinson TE. The attribution of incentive salience to a stimulus that signals an intravenous injection of cocaine. Behav. Brain Res. 2006 doi: 10.1016/j.bbr.2006.02.001. In press. [DOI] [PubMed] [Google Scholar]
  218. Vezina P, Queen AL. Induction of locomotor sensitization by amphetamine requires the activation of NMDA receptors in the rat ventral tegmental area. Psychopharmacology. 2000;151:184–191. doi: 10.1007/s002130000463. [DOI] [PubMed] [Google Scholar]
  219. Vezina P, Stewart J. Amphetamine administered to the ventral tegmental area but not to the nucleus accumbens sensitizes rats to systemic morphine: Lack of conditioned effects. Brain Res. 1990;516:99–106. doi: 10.1016/0006-8993(90)90902-n. [DOI] [PubMed] [Google Scholar]
  220. Volkow ND, Fowler SJ. Addiction, a disease of compulsion and drive: involvement of the orbitofrontal cortex. Cereb Cortex. 2000;10:318–325. doi: 10.1093/cercor/10.3.318. [DOI] [PubMed] [Google Scholar]
  221. Volkow ND, Wang GJ, Fowler JS, Thanos PP, Logan J, Garley SJ, Gifford A, Ding YS, Wong C, Pappas N. Brain DA(2) receptors predict reinforcing effects of stimulants in humans: replication study. Synapse. 2002;46:79–82. doi: 10.1002/syn.10137. [DOI] [PubMed] [Google Scholar]
  222. Weiss F, Hurd YL, Ungerstedt U, Markou A, Plotsky PM, Koob GF. Neurochemical correlates of cocaine and ethanol self-administration. Ann. N.Y. Acad. Sci. 1992;654:220–241. doi: 10.1111/j.1749-6632.1992.tb25970.x. [DOI] [PubMed] [Google Scholar]
  223. Weiss SJ, Kearns DN, Cohn SI, Panlilio LV, Schindler CW. Stimulus control of cocaine self-administration. J. Exp. Anal. Behav. 2003;79:111–135. doi: 10.1901/jeab.2003.79-111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  224. Wikler A. Conditioning processes in opiate addiction and relapse. J. Hillside Hosp. 1967;16:141–167. [Google Scholar]
  225. Wikler A. Requirements for extinction of relapse-facilitating variables and for rehabilitation in a narcotic-antagonist treatment program. In: Braude MC, Harris LS, May EL, Smith JP, Villareal JE, editors. Narcotic antagonists: Advances in biochemical psychopharmacology. vol. 8. New York: Raven Press; 1973. pp. 399–414. [PubMed] [Google Scholar]
  226. Williams DR, Williams H. Automaintenance in the pigeon: Sustained pecking despite contingent non-reinforcement. J. Exp. Anal. Behav. 1969;12:511–520. doi: 10.1901/jeab.1969.12-511. [DOI] [PMC free article] [PubMed] [Google Scholar]
  227. Winstanley CA, Baunez C, Theobald DEH, Robbins TW. Lesions to the subthalamic nucleus decrease impulsive choice but impair autoshaping in rats: The importance of the basal ganglia in Pavlovian conditioning and impulse control. Eur. J. Neurosci. 2005;21:2107–3116. doi: 10.1111/j.1460-9568.2005.04143.x. [DOI] [PubMed] [Google Scholar]
  228. Winstanley CA, Dalley JW, Theobald DEH, Robbins TW. Fractionating impulsivity: Contrasting effects of central 5-HT depletion on different measures of impulsive behavior. Neuropsychopharmacology. 2004;29:1331–1343. doi: 10.1038/sj.npp.1300434. [DOI] [PubMed] [Google Scholar]
  229. Wise RA, Bozarth MA. Brain mechanisms of drug reward and euphoria. Psychiatric Med. 1985;3:445–460. [PubMed] [Google Scholar]
  230. Wise RA, Bozarth MA. A psychomotor stimulant theory of addiction. Psychol. Rev. 1987;94:469–492. [PubMed] [Google Scholar]
  231. Wise RA, Rompre PP. Brain dopamine and reward. Ann. Rev. Psychol. 1989;40:191–225. doi: 10.1146/annurev.ps.40.020189.001203. [DOI] [PubMed] [Google Scholar]
  232. Wood DA, Rebec GV. Dissociation of core and shell single-unit activity in the nucleus accumbens in free-choice novelty. Behav. Brain Res. 2004;152:59–66. doi: 10.1016/j.bbr.2003.09.038. [DOI] [PubMed] [Google Scholar]
  233. Yang Y, Zheng X, Wang Y, Cao J, Dong Z, Cai J, Sui N, Xu L. Stress enables synaptic depression in CA1 synapses by acute and chronic morphine: Possible mechanisms for corticosterone on opiate addiction. J. Neurosci. 2004;24:2412–2420. doi: 10.1523/JNEUROSCI.5544-03.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  234. Yoshioka M, Matsumoto M, Togashi H, Saito H. Effects of conditioned fear stress on 5-HT release in the rat prefrontal cortex. Pharmacol. Biochem. Behav. 1995;51:515–519. doi: 10.1016/0091-3057(95)00045-x. [DOI] [PubMed] [Google Scholar]
  235. Zack M, Vogel-Sprott M. Behavioral tolerance and sensitization to alcohol in humans: The contribution of learning. Exp. Clin. Psychopharmacology. 1995;4:396–401. [Google Scholar]
  236. Zahm DS. An integrative neuroanatomical perspective on some subcortical substrates of adaptive responding with emphasis on the nucleus accumbens. Neurosci. Biobehav. Rev. 2000;24:85–105. doi: 10.1016/s0149-7634(99)00065-2. [DOI] [PubMed] [Google Scholar]
  237. Zahm DS, Brog JS. Commentary on the significance of the core-shell boundary in the rat nucleus accumbens. Neurosci. 1992;50:751–767. doi: 10.1016/0306-4522(92)90202-d. [DOI] [PubMed] [Google Scholar]
  238. Zavala AR, Nazarian A, Crawford CA, McDougall SA. Cocaine-induced behavioral sensitization in the young rat. Psychopharmacology. 2000;151:291–298. doi: 10.1007/s002130000377. [DOI] [PubMed] [Google Scholar]
  239. Zhang XY, Kosten TA. Prozosin, an alpha-1 Adrenergic antagonist, reduces cocaine-induced reinstatement of drug-seeking. Biol. Psychiatry. 2005;57:1202–1204. doi: 10.1016/j.biopsych.2005.02.003. [DOI] [PubMed] [Google Scholar]
  240. Zito KA, Vickers G, Roberts DC. Disruption of cocaine and heroin self-administration following kainic acid lesions of the nucleus accumbens. Pharmacol. Biochem. Behav. 1985;23:1029–1036. doi: 10.1016/0091-3057(85)90110-8. [DOI] [PubMed] [Google Scholar]
  241. Zuckerman M. Sensation seeking and impulsivity: A marriage of traits made in biology? In: McCown WG, Johnson JL, Shure MB, editors. The Impulsive Client: Theory, Research, and Treatment. Washington, DC: American Psychological Association; 1993. pp. 71–91. [Google Scholar]

RESOURCES