Skip to main content

ORIGINAL RESEARCH article

Front. Physiol., 14 May 2018
Sec. Invertebrate Physiology
This article is part of the Research Topic Invertebrate Models of Natural and Drug-Sensitive Reward View all 15 articles

Crayfish Self-Administer Amphetamine in a Spatially Contingent Task

  • Department of Biological Sciences, Bowling Green State University, Bowling Green, OH, United States

Natural reward is an essential element of any organism’s ability to adapt to environmental variation. Its underlying circuits and mechanisms guide the learning process as they help associate an event, or cue, with the perception of an outcome’s value. More generally, natural reward serves as the fundamental generator of all motivated behavior. Addictive plant alkaloids are able to activate this circuitry in taxa ranging from planaria to humans. With modularly organized nervous systems and confirmed vulnerabilities to human drugs of abuse, crayfish have recently emerged as a compelling model for the study of the addiction cycle, including psychostimulant effects, sensitization, withdrawal, reinstatement, and drug reward in conditioned place preference paradigms. Here we extend this work with the demonstration of a spatially contingent, operant drug self-administration paradigm for amphetamine. When the animal enters a quadrant of the arena with a particular textured substrate, a computer-based control system delivers amphetamine through an indwelling fine-bore cannula. Resulting reward strength, dose-response, and the time course of operant conditioning were assessed. Individuals experiencing the drug contingent on their behavior, displayed enhanced rates of operant responses compared to that of their yoked (non-contingent) counterparts. Application of amphetamine near the supra-esophageal ganglion elicited stronger and more robust increases in operant responding than did systemic infusions. This work demonstrates automated implementation of a spatially contingent self-administration paradigm in crayfish, which provides a powerful tool to explore comparative perspectives in drug-sensitive reward, the mechanisms of learning underlying the addictive cycle, and phylogenetically conserved vulnerabilities to psychostimulant compounds.

Introduction

The activation of natural reward pathways signifies the perception of a positive outcome in adaptive situations, such as when the individual manages to satisfy its demands for food, sex, or contact comfort (Kelley and Berridge, 2002). Prior studies have demonstrated that these circuits are sensitive to stimulation by a number of plant secondary compounds (Wink, 2015), even in the absence of any inherent beneficial outcomes (Koob, 2015). Cues experienced during such exposure, whether novel or previously encountered, acquire special salience and become labeled as rewarding. As vulnerable individuals enter an addictive cycle, they increasingly pursue conditions that enhance access to both the drugs themselves and the cues with which they are paired (Robinson and Berridge, 2000; Hyman and Malenka, 2001). The commonly accepted view that addiction is an exclusively human and cognitive phenomenon, is erroneous, and has for far too long hindered the emergence of a comprehensive understanding of addiction processes. The ability to duplicate drug-associated neural properties and behavioral consequences in other mammals, both primate and non-primate, resulted in the use of an expanded taxonomic range in preclinical addiction studies (Deneau et al., 1969; Collins et al., 1983; Bergman et al., 1989; Spealman et al., 1989; Sanchis-Segura and Spanagel, 2006). More recently, interest has focused on the potential utility of invertebrate model systems as we have come to appreciate that addiction represents a much more fundamental biological phenomenon of associative learning than had previously been thought. This perspective becomes somewhat less radical when one considers that the majority of addictive substances are defensive plant alkaloids to deter insect herbivory (Wink, 2015). Invertebrate models including Drosophila, honeybees, nematodes, and recent work on crayfish, have significantly enriched perspectives on addiction research. This ‘simpler systems’ approach (Wolf and Heberlein, 2003; Burne et al., 2011; Søvik and Barron, 2013; Yartsev, 2017) capitalizes on the structural efficiency, and unique accessibility to experimental manipulation that is inherent in invertebrate nervous systems. Most importantly, invertebrate and vertebrate models (humans included) are united by the conserved nature of reward mechanisms, sharing the same neurotransmitter systems with homo- and paralogous receptors, and featuring matched signaling pathways underlying behavioral addiction (Hen, 1992, 1993; Vernier et al., 1995, 1997; Porzgen et al., 2001; Tierney, 2001; Tierney et al., 2003).

A host of advantages make decapod crustaceans (i.e., crayfish, lobsters) a very suitable, and historically successful, model organism for exploring the neural machinery of behavior. Molecular, neurophysiological, and neurobehavioral experimentation (Clarac and Pearlstein, 2007) on the mechanisms of natural and drug-sensitive reward profits from a highly modular neural structure, conserved monoaminergic, neuromodulatory systems, a relatively small number of large and individually identifiable neurons, and high sensitivity toward human drugs of abuse. Amphetamine (Alcaro et al., 2011), cocaine (Nathaniel et al., 2012a,b), morphine (Nathaniel et al., 2010), and cathinones (Gore et al., unpublished data) exhibit potent psychostimulant properties, which sensitize with repeated exposure (Nathaniel et al., 2010, 2012b; Dziopa et al., 2011). Moreover, in a conditioned place preference paradigm (CPP), these substances trigger the formation of strong associations between drugs and the cues with which they are paired (Panksepp and Huber, 2004; Nathaniel et al., 2009). Discontinuing drug access produces withdrawal (Nathaniel et al., 2009; Huber et al., 2011), and a single, small priming dose is sufficient to fully reinstate a drug-induced CPP following a period of abstinence (Nathaniel et al., 2009). The present work expands on recent findings in which crayfish quickly learned to avoid areas paired with mild electric shock punishment (Bhimani and Huber, 2016). Here we advance a novel system for automated drug self-administration in crayfish, and explore whether, and to what extent, amphetamine reward alters crayfish behavior in an operant conditioning paradigm.

Conditioned place preference paradigm provides a measure for the reinforcing nature of a drug. However, because it relies on behavioral responses to conditioned stimuli, it is only an indirect assessment of a drugs affective properties. A more direct metric for an individual’s motivation to acquire drugs, and hence a drug’s inherent reward strength, derives from changes in operant behavior during a self-administration paradigm. In such a scenario the subject is able to control drug delivery by performing a learned, operant task (Gardner, 2000; Deroche-Gamonet et al., 2004; Belin et al., 2009), where successful task completion delivers a bolus of the substance. The ability to associate performance of the operant behavior and its earned drug infusion, is facilitated by both precise timing of drug delivery as well as by a rapid physiological response. Although a significant challenge for many smaller invertebrate study systems (Søvik and Barron, 2013), a rapid and precise drug delivery via an indwelling cannula is quite achievable in crayfish.

Using a fully-automated approach to crayfish behavior in a learned spatial task, we first assess baseline, unconditioned space use of an arena featuring distinct substrate textures. In a second step, we then reward each entrance into a particular substrate region with a bolus of drug. The study aims to determine whether individual crayfish can learn to perform tasks that gain them infusions of amphetamine by using their movement patterns to specifically revisit areas of the arena paired with drug. Effective demonstration of such an operant, self-administration paradigm would permit direct measurement and comparisons of relative reward strength of human drugs of abuse in crayfish, a quintessential model for behavioral neuroscience research.

Materials and Methods

Animals

Crayfish (Orconectes rusticus) were captured from the Portage River near Bowling Green, OH, United States (41.377965–83.475812). They were maintained in the laboratory under controlled environmental conditions in an aerated community tank (at 20°C, pH 7, 12 h L:12 h D) and fed twice a week with rabbit chow. Three days prior to the experiment, intermolt males (7–14 g) with all appendages intact were selected, individually housed in perforated plastic containers (Ø: 140 mm, ht: 70 mm), and placed in holding trays supplied with continuously circulating, filtered, aerated water from a large supply tank.

Experimental Procedure

Training trials were performed in a circular polyethylene arena (Ø: 0.5 m, ht: 0.25 m) with the floor divided into four quadrants of two different substrates arranged diagonally. Tiles of white Plexiglas presented a smooth, hard surface, while tiles coated with a white, polyester mesh (Nonadhesive Easy Shelf Liner, Duck Brand, OH, United States) provided a soft, textured contrast. The arena was rotated between each trial. A custom, open-source video tracking solution (available for free download1) was used to record the movements of the test animal and to deliver a bolus of drug in real-time when the operant behavior was performed. Each experiment employed a new set of individuals, which were treated as described below.

Experiment 1 explored the unconditioned substrate preference, locomotion and arena use by drug naïve crayfish. For this experiment, spatial responses in two distinct groups of individuals that received saline injection either in the vicinity of supraesophageal ganglion (n = 6) or into the pericardium (n = 9) were recorded. Movements of saline treated individuals were recorded across a 5-h experimental time line. These provide the relevant baseline data for subsequent comparison with amphetamine-associated behavioral changes observed in Experiments 2 and 3.

The efficacy of amphetamine as a reinforcer under an operant conditioning paradigm was assessed in Experiments 2 and 3. In Experiment 2, the infusion cannula was implanted into the pericardial sinus for systemic application of drug at one of several dosages. Each experimental session lasted 3 h, during which movement of the individual into a quadrant with a particular texture earned a bolus of drug. Reinforcement was delivered for every instance of operant response. Following an operant response, a 5 s time timeout period was instated during which additional responses initiated did not result in drug infusions. Subjects (n = 12 per group) were randomly assigned to one of five drug dose categories. Under each dose category, animals were further classified either as: (1) Drug-Master individuals that received drug contingent to their entry into a particular substrate or (2) Drug-yoked animals that received an equal amount of amphetamine at the same time as the drug-master individual to which they were yoked. While the treatment animals had the opportunity to associate their action to the delivery of reward, individuals in the yoke group received drug infusions independent of their actions. Each drug dose level was thus evaluated in combinations of six master-yoke pairs. A saline group (n = 9) that received behaviorally contingent injections of saline served as the vehicle control.

The reward contingency for the two substrates (hard vs. soft) was counterbalanced among the individuals in each dose category. Learning of reward contingency was consequently evaluated for the hard substrate in three master- yoke pairs and for the soft substrate in another set of three master- yoke pairs. Experiment 3 was conducted in the same manner as that described above, except that the cannula for drug delivery was implanted directly over the supraesophageal ganglion (i.e., SEG, brain) of the crayfish. In this iteration the bolus was therefore delivered in close proximity to the neural tissues of the head ganglion, rather than reaching it indirectly via the general circulation. Previous work focusing on psychostimulant effects had demonstrated that injection in the head region resulted in stronger behavioral effects and a more rapid response for a given drug infusion (Alcaro et al., 2011).

Surgery

Prior to surgery, animals were cold anesthetized for 20 min in ice. Cannulae were implanted through the carapace to deliver drug either into the general circulation via the pericardial sinus (Experiment 2), or directly over the SEG (Experiment 3). Precise positioning of the cannula (Figures 1A,B) was informed through a series of preliminary dissections. For systemic infusion (Experiment 2) a 26.5 gauge needle was used to drill through the exoskeleton into the anterior end of the sinus, and slightly lateral of the midline, to avoid damaging the underlying heart. A 50 mm section of deactivated, fused silica material (Agilent 160-2655, i.d. = 50 μm, o.d. = 250 μm) was inserted through the opening such that 3 mm entered the pericardial sinus, and attached to the carapace with cyanoacrylate and bonding material. For Experiment 3 the cannula was placed over the SEG at the same insertion depth. Following surgery, the animals were allowed to recover overnight in their holding containers.

FIGURE 1
www.frontiersin.org

FIGURE 1. Positions of the cannula for the two different anatomical locations. Cannula implanted in the pericardial cavity (A) vs. in the vicinity of the supraesophageal ganglion (B). Movements of the animal were monitored in real time and visualized using a computerized tracking framework. Drug reward was automatically delivered following the occurrence of an operant response. The quadrants with reward paired entries on the representative tracking window (C) are outlined in red. Location of the animal (depicted as black dots on the tracking window) captured at a sampling rate of 2 Hz. Time stamps, x and y Cartesian coordinates, and instances of operant responses were obtained and saved into a text file for subsequent analysis.

Drug and Injection Protocol

Tygon microbore tubing (Fisher Scientific ND 100-80, i.d. = 250 μm) was used to connect a 0.5 m section of deactivated, fine-bore, fused silica needle material (Agilent 160-1010, i.d. = 100 μm, o.d. = 190 μm, 0.5 m long) to the implanted animal stub on one end and the blunt-tipped needle on a 1 ml glass syringe (SGE Analytical Sciences, Model# 008100) on the other. A syringe pump (Razel R-99E with R-ACC-6 Multi Micro Syringe Adapter) was positioned above the experimental arena, allowing concurrent drug application to multiple animals.

Doses of D-amphetamine sulfate (Sigma-Aldrich A 5880, St. Louis, MO, United States) were prepared in 125 mM saline (NaCl) and tested for their ability to support self-administration at two anatomical locations: pericardium (Experiment 2: five doses of amphetamine: 0.1, 0.3, 1, 3, and 10 μg/bolus), and supraesophageal ganglion (Experiment 3: three doses of amphetamine: 0.1, 0.3, and 1 μg/bolus).

Behavioral Analysis

Movements of the animal within the experimental arena were captured using the JavaGrinders tracking framework. The analog signal from an overhead camera (Sony HDR-HC5 HDV 1080i) was digitized via an A/D converter (Canopus ADVC-110, 720x480 pixel resolution) on an Apple Macintosh computer (iMac, OSX 10.7.4). A collection of freeware programming functions for the analysis of behavior (available for free download1) were employed to capture time-stamped coordinates in a 2D Cartesian plane at a sampling rate of 2 Hz (Figure 1C). A minimum distance of 3.5 pixels between captures was required for inclusion as a movement event, to distinguish these from actions associated with grooming bouts. Operant tasks were defined as all instances in which the test individual crossed from an unpaired substrate into a reward paired one. The syringe was controlled by the tracking framework via a serial interface (USB/serial adapter DB-9RS-232). Each instance of operant response triggered the infusion of a 5 μl bolus containing a particular treatment delivered over a period of 1 s. This automated system offered reliable and rapid response-reward pairing over the course of extended trials. Movement descriptors, operant behaviors, and drug delivery were extracted post-trial from the time-stamped data logged to a file. Enhanced locomotion necessarily emerges from unconditioned psychostimulant effects and thus inevitably results in increased rates of operant responses. To distinguish between unconditioned and conditioned psychostimulant effects we calculated the number of valid responses per distance traveled as a measure of how effective movements were used to activate the pump [i.e., operant index (OI)].

Statistical Analyses

Statistical analyses were conducted using R (Version 3.4.3, R Development Core Team, 2008). Levels of significance were set at p ≤ 0.05 for all tests. Substrate and quadrant preferences were assessed using a two-tailed, within subject design. Since OI values were neither normal (Shapiro–Wilk W-test, p < 0.001) nor homoscedastic (Brown–Forsythe test, p < 0.001), a conservative approach was adopted and original values of the variable were replaced by their rank equivalents. For Experiments 2 and 3, each 3 h experiment was binned into 20 min intervals and a mean OI was calculated for each time segment and effect of reward contingency tested with a repeated measures design.

Results

Experiment 1: Unconditioned Substrate Preference, Locomotion, and Arena Use

This study analyzed spatial responses in 15 saline treated individuals (six receiving brain infusions, nine receiving pericardial infusions) prior to, or in the absence of drug conditioning, across the 5-h experimental time line. These provide the relevant baseline data for subsequent analysis of amphetamine-associated behavioral changes, substrate preferences, locomotor activity, and space utilization summarized in Figure 2. When placed into the arena, drug-free crayfish spend much of their time following the circular outer wall, only occasionally leaving the periphery to cross the central, open portion of the arena. Initial walking speeds are consistent and high, occasionally interrupted by brief moments of hesitation when they approach the transition between substrate textures. Initial locomotion is paired with intense tactile and olfactory sampling indicative of exploration, but over the first hour mean speeds slow considerably as crayfish increasingly settle into stationary periods along the perimeter wall. Preferred places to settle appear to be the soft-textured side adjacent to a hard quadrant border. This is reflected in a significant preference for soft quadrants (mean p[soft] ± SE, p = 0.581 ± 0.015), which begins to emerge as a significant effect (one-sample t-test versus a hypothetical population mean p = 0.5, t[14] = 5.2865, p < 0.001) 40 min into the trial. With their locomotor responses, control individuals earned saline infusions at a mean rate ( ± SE) of 30.43 infusions per hour. A repeated measures analysis confirmed that the rate of infusions was a direct linear function of locomotion (1.28 infusions per meter traveled F[1,55] = 1840.834, p < <0001, adjacent r2 = 0.959) and that this relationship remained constant over the 5 h time period (F[4,55] = 1.642, p = 0.177).

FIGURE 2
www.frontiersin.org

FIGURE 2. Spatial preferences combined for 15 drug naive crayfish in an arena with two soft and two hard textured quadrants arranged diagonally (A). Heat maps depict utilization distributions obtained from two dimensional kernel density estimation (kde2d, package MASS, R Version 3.4.2) for 20 min segments of the first hour (B–D), and 60 min segments for hours 2–5 (E–H). Pixel densities range from low (white and blue) to high (yellow and red). Mean walking speeds for 5 min time segments are plotted for the 5 h time line with geometric loess smoothing and estimated standard error region (I).

Experiments 2 and 3: Unconditioned Psychostimulant Effects of Amphetamine

Individuals in the yoked groups received amphetamine infusions contingent on their master’s operant responses and independent of their own behavior. In this group then, observed responses to the drug can thus inform amphetamine’s unconditioned behavioral effects. Individuals from the brain master group earned an hourly average of 43.1 (0.1 μg), 34.8 (0.3 μg), and 30.9 (1 μg/bolus) infusions respectively. Infusions at the highest dose are accompanied by a brief, dose-dependent psychostimulant effect, followed by a short period of psychodepression (Figure 3). Data also demonstrate that pericardial infusions of amphetamine were unassociated with distinct changes in levels of locomotion.

FIGURE 3
www.frontiersin.org

FIGURE 3. Unconditioned psychostimulant effects on locomotion were examined with stimulus averaging of repeated amphetamine infusions administered to yoked controls. Traces are aligned to the time of infusion (gray line) with average measures of locomotion plotted 50 s prior to and 150 s past the administration of a 5 μl bolus containing one of several drug amounts into the pericardial sinus (A–E) or brain (F–H). No effects of pericardial infusions were detected although more subtle changes in traces may exist in (A) 0.1 μg (451 infusions in five individuals), (B) 0.3 μg (1321 infusions in six individuals), (C) 1 μg (521 infusions in five individuals), (D) 3 μg (566 infusions in five individuals), and (E) 10 μg doses of amphetamine (647 infusions in six individuals). Averaged traces for distance traveled following infusions above the crayfish brain of (F) 0.1 μg (1290 infusions in six individuals), (G) 0.3 μg (1042 infusions in six individuals), and (H) 1 μg amphetamine (927 infusions in six individuals). Traces indicate a brief, dose-dependent psychostimulant effect, followed by a short period of psychodepression.

Experiment 2: Pericardial Infusions – Effect of Reward Conditioning on Operant Responding

Treatment and yoke pairs for each dose category (n = 6 pairs/dose) were compared based on OI (Experiment 2; Figure 4) using a within-subject design. No clear distinction in the levels of operant responding between treatment and their yokes was observed for any of the doses assayed. While higher OI scores of treatment relative to the yoked group were observed, most prominently at the drug dose of 0.3 and 1.0 μg/infusion, they failed to reach statistical significance. For comparable dose categories, systemic amphetamine injection produced less distinct differences in OI scores between self-administering and yoke groups relative to brain infusions.

FIGURE 4
www.frontiersin.org

FIGURE 4. Operant conditioning of a spatial task paired with amphetamine reward, delivered into the pericardial sinus. Treatment animals received amphetamine infusions upon entering a chosen substrate. Yoked controls received the drug infusions at time points identical to their treatment partners. Vehicle controls received contingent saline infusions. Learning of reward contingency was compared using operant index (OI) between treatment and yoke groups for each dose category (A–E). Operant conditioning in crayfish receiving behavior contingent injections of amphetamine at one of several doses (A) 0.1 μg, (B) 0.3 μg, (C) 1 μg, (D) 3 μg, and (E) 10 μg doses of amphetamine into the pericardium is less robust than animals receiving the drug over the supraesophageal ganglion. Mean OI for 20 min time segments are plotted for the 3 h session with standard error of mean.

Experiment 3: SEG Infusions – Effect of Reward Conditioning on Operant Responding

The effect of injection site on reward strength was examined by comparing the previously described systemic injections (Experiment 2) with those infused near the brain (Experiment 3; Figure 5). Effects of reward contingency over the duration of the conditioning session was significant when examined using a repeated measures design (Treatment × Time interaction: F[8,3] = 68.29, p < 0.05). OI scores of the treatment animals in the 1.0 μg dose group showed an increase after 1.5 h, whereas OI scores of the yoke remained unchanged across the trial. The evaluation of 3.0 and 10 μg/infusion doses were restricted to pericardial administration. When injected near the brain, these higher doses produced strong motor responses (including tail flips and excessive grooming), which precluded normal locomotion. The increase in OI scores of treatment- relative to the yoke groups was also observed for both the intermediate- (0.3 μg/infusion) and the lowest doses (0.1 μg/infusion) but was not statistically significant. OI scores of treatment and yoke groups appeared to be more similar when operant tasks were rewarded with lower doses of amphetamine, indicative of a dose-dependent increase in reward strength. The difference in OI scores between treatment and their yoked counterparts was maximum for the highest dose assayed.

FIGURE 5
www.frontiersin.org

FIGURE 5. Operant conditioning of a spatial task using amphetamine reward delivered at the supraesophageal ganglion. Treatment animals received amphetamine infusions upon entering a chosen substrate. Yoked controls received the drug infusions at time points identical to their treatment partners. Vehicle controls received contingent saline infusions. Learning of reward contingency was compared using operant index (OI) between treatment and yoke groups for each dose category (A–C). Increases in OI appeared in dose dependent manner. Lower doses of amphetamine (A) 0.1 μg, and (B) 0.3 μg per infusion display more subtle effects on operant index. Learning of reward contingency appeared prominently at the higher dose of (C) 1.0 μg per infusion, with self-administering animals selectively engaging in the drug paired behavior more than their yoked counterparts. Operant index scores of treatment group show an increase after 80 min of exposure to reward conditioning compared to the yoke group (Treatment X Time interaction: F[8,3] = 68.29, p < 0.05) indicating the time frame necessary for the learning of reward contingency. Mean Operant learning index for 20 min time segments are plotted for the 3 h session with standard error of mean.

Discussion

Crayfish placed in a novel arena show enhanced levels of locomotion and antennal movements while actively exploring their surroundings. In the natural context, this active seeking drive is essential for encountering critical resources. As crayfish become familiar with their environment, a reduction in locomotion is observed, and animals tend to settle along the perimeter walls of the test arena. The ability of amphetamine to increase motor activity and stereotypy in mammals has been widely documented (Fog, 1969; Schiorring, 1971;Segal and Mandell, 1974; Hoebel et al., 1983). Using the distance traveled by yoke individuals that experienced the drug in a non-contingent fashion, we found that the unconditioned effects of the drug did not vary in a dose-dependent manner. Levels of locomotion were identical for all dose categories. A lack of amphetamine-induced increase in measures of locomotion for crayfish has previously been observed (Panksepp and Huber, 2004). One possible explanation for unchanged locomotory response level includes increased time spent in tactile exploration of the arena. In crayfish, exploration of surroundings is strongly dependent on mechanoreception using active movements of the antenna (Basil and Sandeman, 2000; Koch et al., 2006). Therefore, it is possible that stimulation of the appetitive motivational states by amphetamine results in increased tactile investigation of the surroundings via sensory appendages rather than increases in locomotion per se.

The present paper demonstrates the ability of crayfish to self-administer amphetamine in an operant conditioning paradigm. Free moving, behaving crayfish learn to self-inject amphetamine under continuous reinforcement schedules. We found the rewarding potential of amphetamine to be dose dependent, and the reward potency to vary with the site of injection. Injections near the supraesophageal ganglion exhibited stronger reinforcing qualities than did systemic infusions of the drug. With the establishment of a self-administration paradigm utilizing an automated and targeted drug delivery technique through implanted cannulae, we introduce an invertebrate system whose properties closely resemble those of mammalian self-administration models.

The ability of amphetamine to act as a reinforcer in the crayfish nervous system has previously been demonstrated using a CPP (Panksepp and Huber, 2004). In that study, amphetamine-evoked CPP appeared after just a single exposure, was persistent, and displayed prompt reinstatement. Here we have demonstrated that under a spatially contingent, operant conditioning paradigm, crayfish can learn to execute tasks paired with amphetamine infusions. Crayfish that experienced amphetamine reward contingent on their behavior displayed significantly higher OI scores. In contrast, yoked individuals that received amphetamine injections on the same temporal pattern but in a manner unrelated to their own behavior, did not display a similar increase. The vehicle control group that received contingent injections of saline also displayed no change in their OI scores across the session. Under the current paradigm, OI measures the individuals’ efficiency of movement to regulate self-administration through the activation of the infusion pump. The higher OI scores solely in individuals that were controlling their exposure to the drug (self-administering individuals) indicates that when crayfish are offered the opportunity to control delivery of drug reward, they will increasingly engage in behaviors that allows them to obtain the drug.

Operant conditioning using amphetamine reward in crayfish appeared in a dose dependent manner. Studies in rodent models have demonstrated that the rate and probability of acquisition of self-administration are positively correlated with the unit dose (van Ree et al., 1978; Carroll and Lac, 1997). Low unit doses of amphetamine (0.1 and 0.3 μg/infusion) were unable to act as a reinforcer of sufficient strength in our operant conditioning paradigm. Identical scores for OI were observed in self-administering individuals and their yoke at low unit doses, indicating that crayfish made no particular effort to self-administer the drug at these doses. Differences in OI scores were observed at the 0.3 μg unit dose but failed to achieve statistical significance. For 1.0 μg, the highest dose included in our study for supraesophageal ganglion drug administration, a significant increase in OI was observed in animals experiencing the reward contingently compared to their yokes. OI scorers in the self-administering group rose rapidly midway through the conditioning session, indicating learning of the reward contingency and the onset of active drug seeking.

Toward the end of the session, OI scores tended to decrease, suggesting that there is a ceiling for amphetamine intake which is likely a function of both the total amount of drug injected and the unit dose per injection. Plateauing amphetamine intake after a period of self-administration is indicative of a decrease in reinforcement efficacy, either because the amount of amphetamine injected established internal levels of the drug that reached satiation, or because they generated aversive states beyond a given level. Previous studies conducted in our lab have indicated that amphetamine at higher doses (5 mg/kg) increases the occurrence of tail flips and convulsions (Alcaro et al., 2011). Since tail flips are innate escape responses of crayfish employed under perceptions of serious threat, it is likely that at higher doses amphetamine generates aversive states that constrain further drug intake.

Self-administering individuals displayed higher variance in their OI scores compared to the yoke and vehicle control groups, as indicated by large error bars in the dose response curve. Large inter-individual differences in response to drugs have also been observed in humans and other animal models (de Wit et al., 1986; Piazza et al., 1998; Marinelli, 2005). Although self-administration may be acquired with relative ease by some individuals, others tend to be more resistant. Another factor potentially contributing to this large variance is the source of the sample. Since our O. rusticus sample is derived from a wild population, the error bars reflecting between-subject variability in the acquisition of operant responding are likely to be large.

Brain injections of amphetamine were self-administered more readily compared to systemic injections of amphetamine. Although systemic injections with a broad range of doses were tested, we observed few apparent changes in OI scores of the treatment groups relative to the yoke group. It was previously demonstrated that administration of D-amphetamine directly into the crayfish brain is more efficient than pericardial injections at enhancing exploratory behaviors (Alcaro et al., 2011). Cumulatively, these findings indicate that the potential target of amphetamine reward indeed resides in the crayfish brain. Application of the drug directly over the supraesophageal ganglion minimizes the time delay between operant response and the experience of reward thus increasing the effectiveness of the conditioning paradigm. Findings from both invertebrate (Kusayama and Watanabe, 2000; Panksepp and Huber, 2004; Carvelli et al., 2010; Alcaro et al., 2011) and vertebrate models highlight the role of the monoaminergic pathway in amphetamine reward (Sora et al., 2010; Howell and Negus, 2014; Wiers et al., 2016). In crayfish, monoamines have been demonstrated to modulate motor control, exploration, and more complex behaviors such as aggression and anxiety-like responses (Fossat et al., 2014). Considering the highly conserved functions of biogenic amines, they are also likely to play a role in reward processes in both natural and abnormal contexts (e.g., behaviors displayed under the influence of addictive drugs such as drug seeking, self-administration, and relapse). Both dopamine (Tierney et al., 2003) and serotonin (Sandeman and Sandeman, 1987; Sandeman et al., 1988) innervations occur prominently in the accessory lobe of crayfish. The accessory lobe, a structure capable of processing higher-order multimodal inputs, may thus be a critical brain region involved in the implementation of reward in crayfish.

Although the reward seeking circuit (Ferenczi et al., 2016; Otis et al., 2017) in crayfish brain is yet to be mapped out in its entirety. Nonetheless, with an amine system consisting of fewer than 1,000 neurons (30–35 dopamine neurons in the brain and nerve cord) and a well-characterized set of behaviors associated with drug reward, crayfish is a model amenable to the exploration of reward mechanisms (Shipley et al., 2017). The establishment of an automated, operantly conditioned self-administration paradigm in crayfish sets the stage for more nuanced studies of the processes underlying invertebrate reward. Such studies should aim to understand the implementation of an appetitive/seeking disposition in what is a relatively simple neural system, and by what particular mechanism/s this disposition is targeted by the rewarding action of drugs of abuse.

Ethics Statement

Invertebrates are animals; however, no animal use protocols are required.

Author Contributions

UD designed and carried out experiments, acquisition of data, analysis and interpretation of data, drafting and revising the article. RH helped with instrumentation and design, analysis, and interpretation of data. MvS assisted in conception and design, analysis and interpretation of data, drafting and revising of article.

Funding

This work was partially supported by funding from the Ohio Attorney General’s Center for the Future of Forensic Science (MvS, RH), a J. P. Scott Center Research Fellowship (UD), and the National Science Foundation (DUE 1525623, MvS).

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We are grateful for the intellectual input of members of the MvS and RH labs, particularly Budhaditya Chowdhury, Sayali Gore, and Cedric Jackson. Vern Bingman of the J. P. Scott Center for Neuroscience, Mind & Behavior (BGSU) offered useful suggestions on operant designs, and Steve Queen (BGSU, Biology Department) helped with constructing experimental arenas.

Footnotes

  1. ^ http://iEthology.com/

References

Alcaro, A., Panksepp, J., and Huber, R. (2011). d-amphetamine stimulates unconditioned exploration/approach behaviors in crayfish: towards a conserved evolutionary function of ancestral drug reward. Pharmacol. Biochem. Behav. 99, 75–80. doi: 10.1016/j.pbb.2011.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Basil, J., and Sandeman, D. (2000). Crayfish (Cherax destructor) use tactile cues to detect and learn topographical changes in their environment. Ethology 106, 247–259. doi: 10.1046/j.1439-0310.2000.00524.x

CrossRef Full Text | Google Scholar

Belin, D., Balado, E., Piazza, P. V., and Deroche-Gamonet, V. (2009). Pattern of intake and drug craving predict the development of cocaine addiction-like behavior in rats. Biol. Psychiatry 65, 863–868. doi: 10.1016/j.biopsych.2008.05.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Bergman, J., Madras, B. K., Johnson, S. E., and Spealman, R. D. (1989). Effects of cocaine and related drugs in nonhuman primates. III. self-administration by squirrel monkeys. J. Pharmacol. Exp. Ther. 251, 150–155.

PubMed Abstract | Google Scholar

Bhimani, R., and Huber, R. (2016). Operant avoidance learning in crayfish, Orconectes rusticus: computational ethology and the development of an automated learning paradigm. Learn. Behav. 44, 239–249. doi: 10.3758/s13420-015-0205-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Burne, T., Scott, E., van Swinderen, B., Hilliard, M., Reinhard, J., Claudianos, C., et al. (2011). Big ideas for small brains: what can psychiatry learn from worms, flies, bees and fish? Mol. Psychiatry 16, 7–16. doi: 10.1038/mp.2010.35

PubMed Abstract | CrossRef Full Text | Google Scholar

Carroll, M. E., and Lac, S. T. (1997). Acquisition of IV amphetamine and cocaine self-administration in rats as a function of dose. Psychopharmacology 129, 206–214. doi: 10.1007/s002130050182

CrossRef Full Text | Google Scholar

Carvelli, L., Matthies, D. S., and Galli, A. (2010). Molecular mechanisms of amphetamine actions in Caenorhabditis elegans. Mol. Pharmacol. 78, 151–156. doi: 10.1124/mol.109.062703

PubMed Abstract | CrossRef Full Text | Google Scholar

Clarac, F., and Pearlstein, E. (2007). Invertebrate preparations and their contribution to neurobiology in the second half of the 20th century. Brain Res. Rev. 54, 113–161. doi: 10.1016/j.brainresrev.2006.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Collins, R. J., Weeks, J. R., Cooper, M. M., Good, P. I., and Russell, R. R. (1983). Prediction of abuse liability of drugs using IV self-administration by rats. Psychopharmacology 82, 6–13. doi: 10.1007/BF00426372

PubMed Abstract | CrossRef Full Text | Google Scholar

de Wit, H., Uhlenhuth, E. H., and Johanson, C. E. (1986). Individual differences in the reinforcing and subjective effects of amphetamine and diazepam. Drug Alcohol Depend. 16, 341–360. doi: 10.1016/0376-8716(86)90068-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Deneau, G., Yanagita, T., and Seevers, M. H. (1969). Self-administration of psychoactive substances by the monkey. Psychopharmacologia 16, 30–48. doi: 10.1007/BF00405254

CrossRef Full Text | Google Scholar

Deroche-Gamonet, V., Belin, D., and Piazza, P. V. (2004). Evidence for addiction-like behavior in the rat. Science 305, 1014–1017. doi: 10.1126/science.1099020

PubMed Abstract | CrossRef Full Text | Google Scholar

Dziopa, L., Imeh-Nathaniel, A., Baier, D., Kiel, M., Sameera, S., Brager, A., et al. (2011). Morphine- conditioned cue alters c-fos protein expression in the brain of crayfish. Brain Res. Bull. 85, 385–395. doi: 10.1016/j.brainresbull.2011.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferenczi, E. A., Zalocusky, K. A., Liston, C., Grosenick, L., Warden, M. R., Amatya, D., et al. (2016). Prefrontal cortical regulation of brainwide circuit dynamics and reward-related behavior. Science 351:aac9698. doi: 10.1126/science.aac9698

PubMed Abstract | CrossRef Full Text | Google Scholar

Fog, R. (1969). Stereotyped and non-stereotyped behaviour in rats induced by various stimulant drugs. Psychopharmacology 14, 299–304. doi: 10.1007/BF02190114

PubMed Abstract | CrossRef Full Text | Google Scholar

Fossat, P., Bacqué-Cazenave, J., De Deurwaerdère, P., Delbecque, J. P., and Cattaert, D. (2014). Anxiety-like behavior in crayfish is controlled by serotonin. Science 344, 1293–1297. doi: 10.1126/science.1248811

PubMed Abstract | CrossRef Full Text | Google Scholar

Gardner, E. L. (2000). What we have learned about addiction from animal models of drug self- administration. Am. J. Addict. 9, 285–313. doi: 10.1080/105504900750047355

CrossRef Full Text | Google Scholar

Hen, R. (1992). Of mice and flies: commonalities among 5-HT receptors. Trends Pharmacol. Sci. 13, 160–165. doi: 10.1016/0165-6147(92)90054-A

PubMed Abstract | CrossRef Full Text | Google Scholar

Hen, R. (1993). Structural and functional conservation of serotonin receptors throughout evolution. EXS 63, 266–278. doi: 10.1007/978-3-0348-7265-2_14

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoebel, B., Monaco, A., Hernandez, L., Aulisi, E., Stanley, B. G., and Lenard, L. (1983). Self-injection of amphetamine directly into the brain. Psychopharmacology 81, 158–163. doi: 10.1007/BF00429012

CrossRef Full Text | Google Scholar

Howell, L. L., and Negus, S. S. (2014). Monoamine transporter inhibitors and substrates as treatments for stimulant abuse. Adv. Pharmacol. 69:129. doi: 10.1016/B978-0-12-420118-7.00004-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Huber, R., Panksepp, J. B., Nathaniel, T., Alcaro, A., and Panksepp, J. (2011). Drug-sensitive reward in crayfish: an invertebrate model system for the study of SEEKING, reward, addiction, and withdrawal. Neurosci. Biobehav. Rev. 35, 1847–1853. doi: 10.1016/j.neubiorev.2010.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Hyman, S. E., and Malenka, R. C. (2001). Addiction and the brain: the neurobiology of compulsion and its persistence. Nat. Rev. Neurosci. 2, 695–703. doi: 10.1038/35094560

PubMed Abstract | CrossRef Full Text | Google Scholar

Kelley, A. E., and Berridge, K. C. (2002). The neuroscience of natural rewards: relevance to addictive drugs. J. Neurosci. 22, 3306–3311.

PubMed Abstract | Google Scholar

Koch, L. M., Patullo, B. W., and Macmillan, D. L. (2006). Exploring with damaged antennae: do crayfish compensate for injuries? J. Exp. Biol. 209, 3226–3233. doi: 10.1242/jeb.02368

PubMed Abstract | CrossRef Full Text | Google Scholar

Koob, G. F. (2015). “Neurobiology of addiction,” in Substance Abuse Treatment, 5th Edn, eds M. Galanter, H. D. Kleber, and K. T. Brady (Arlington, TX: American Psychiatric Association).

Google Scholar

Kusayama, T., and Watanabe, S. (2000). Reinforcing effects of methamphetamine in planarians. Neuroreport 11, 2511–2513. doi: 10.1097/00001756-200008030-00033

PubMed Abstract | CrossRef Full Text | Google Scholar

Marinelli, M. (2005). The many facets of the locomotor response to a novel environment test: theoretical comment on Mitchell, Cunningham, and Mark (2005). Behav. Neurosci. 119, 1144–1151. doi: 10.1037/0735-7044.119.4.1144

PubMed Abstract | CrossRef Full Text | Google Scholar

Nathaniel, T. I., Huber, R., and Panksepp, J. (2012a). Repeated cocaine treatments induce distinct locomotor effects in crayfish. Brain Res. Bull. 87, 328–333. doi: 10.1016/j.brainresbull.2011.11.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Nathaniel, T. I., Panksepp, J., and Huber, R. (2009). Drug-seeking behavior in an invertebrate system: evidence of morphine-induced reward, extinction and reinstatement in crayfish. Behav. Brain Res. 197, 331–338. doi: 10.1016/j.bbr.2008.08.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Nathaniel, T. I., Panksepp, J., and Huber, R. (2010). Effects of a single and repeated morphine treatment on conditioned and unconditioned behavioral sensitization in crayfish. Behav. Brain Res. 207, 310–320. doi: 10.1016/j.bbr.2009.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Nathaniel, T. I., Panksepp, J., and Huber, R. (2012b). Alteration of c-fos mRNA in the accessory lobe of crayfish is associated with a conditioned-cocaine induced reward. Neurosci. Res. 72, 243–256. doi: 10.1016/j.neures.2011.11.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Otis, J. M., Namboodiri, V. M. K., Matan, A. M., Voets, E. S., Mohorn, E. P., Kosyk, O., et al. (2017). Prefrontal cortex output circuits guide reward seeking through divergent cue encoding. Nature 543, 103–107. doi: 10.1038/nature21376

PubMed Abstract | CrossRef Full Text | Google Scholar

Panksepp, J. B., and Huber, R. (2004). Ethological analyses of crayfish behavior: a new invertebrate system for measuring the rewarding properties of psychostimulants. Behav. Brain Res. 153, 171–180. doi: 10.1016/j.bbr.2003.11.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Piazza, P. V., Deroche, V., Rougé-Pont, F., and Le Moal, M. (1998). Behavioral and biological factors associated with individual vulnerability to psychostimulant abuse. NIDA Res. Monogr. 169, 105–133.

PubMed Abstract | Google Scholar

Porzgen, P., Park, S. K., Hirsh, J., Sonders, M. S., and Amara, S. G. (2001). The antidepressant-sensitive dopamine transporter in Drosophila melanogaster: a primordial carrier for catecholamines. Mol. Pharmacol. 59, 83–95. doi: 10.1124/mol.59.1.83

PubMed Abstract | CrossRef Full Text | Google Scholar

R Development Core Team (2008). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.

Google Scholar

Robinson, T. E., and Berridge, K. C. (2000). The psychology and neurobiology of addiction: an incentive-sensitization view. Addiction 95(Suppl. 2), S91–S117.

Google Scholar

Sanchis-Segura, C., and Spanagel, R. (2006). REVIEW: behavioural assessment of drug reinforcement and addictive features in rodents: an overview. Addict. Biol. 11, 2–38. doi: 10.1111/j.1369-1600.2006.00012.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Sandeman, D., Sandeman, R., and Aitken, A. (1988). Atlas of serotonin-containing neurons in the optic lobes and brain of the crayfish, Cherax destructor. J. Comp. Neurol. 269, 465–478. doi: 10.1002/cne.902690402

PubMed Abstract | CrossRef Full Text | Google Scholar

Sandeman, R. E., and Sandeman, D. C. (1987). Serotonin-like immunoreactivity of giant olfactory interneurons in the crayfish brain. Brain Res. 403, 371–374. doi: 10.1016/0006-8993(87)90078-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Schiorring, E. (1971). Amphetamine induced selective stimulation of certain behaviour items with concurrent inhibition of others in an open-field test with rats. Behaviour 39, 1–17. doi: 10.1163/156853971X00131

PubMed Abstract | CrossRef Full Text | Google Scholar

Segal, D. S., and Mandell, A. J. (1974). Long-term administration of d-amphetamine: progressive augmentation of motor activity and stereotypy. Pharmacol. Biochem. Behav. 2, 249–255. doi: 10.1016/0091-3057(74)90060-4

CrossRef Full Text | Google Scholar

Shipley, A. T., Imeh-Nathaniel, A., Orfanakos, V. B., Wormack, L. N., Huber, R., and Nathaniel, T. I. (2017). The Sensitivity of the crayfish reward system to mammalian drugs of abuse. Front. Physiol. 8:1007. doi: 10.3389/fphys.2017.01007

CrossRef Full Text | Google Scholar

Sora, I., Li, B. J., Igari, M., Hall, F. S., and Ikeda, K. (2010). Transgenic mice in the study of drug addiction and the effects of psychostimulant drugs. Ann. N. Y. Acad. Sci. 1187, 218–246. doi: 10.1111/j.1749-6632.2009.05276.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Søvik, E., and Barron, A. B. (2013). Invertebrate models in addiction research. Brain Behav. Evol. 82, 153–165. doi: 10.1159/000355506

PubMed Abstract | CrossRef Full Text | Google Scholar

Spealman, R. D., Madras, B. K., and Bergman, J. (1989). Effects of cocaine and related drugs in nonhuman primates. II. Stimulant effects on schedule-controlled behavior. J. Pharmacol. Exp. Ther. 251, 142–149.

PubMed Abstract | Google Scholar

Tierney, A. J. (2001). Structure and function of invertebrate 5-HT receptors: a review. Comp. Biochem. Physiol. Part A 128, 791–804. doi: 10.1016/S1095-6433(00)00320-2

CrossRef Full Text | Google Scholar

Tierney, A. J., Kim, T., and Abrams, R. (2003). Dopamine in crayfish and other crustaceans: distribution in the central nervous system and physiological functions. Microsc. Res. Tech. 60, 325–335. doi: 10.1002/jemt.10271

PubMed Abstract | CrossRef Full Text | Google Scholar

van Ree, J. M., Slangen, J. L., and de Wied, D. (1978). Intravenous self-administration of drugs in rats. J. Pharmacol. Exp. Ther. 204, 547–557.

Google Scholar

Vernier, P., Cardinaud, B., Philippe, H., and Vincent, J. D. (1997). The classification of bioamine receptors: how helpful are molecular phylogenies? Ann. N. Y. Acad. Sci. 812, 141–143. doi: 10.1111/j.1749-6632.1997.tb48154.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Vernier, P., Cardinaud, B., Valdenaire, O., Philippe, H., and Vincent, J. D. (1995). An evolutionary view of drug-receptor interaction: the bioamine receptor family. Trends Pharmacol. Sci. 16, 375–381. doi: 10.1016/S0165-6147(00)89078-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Wiers, C. E., Cabrera, E., Skarda, E., Volkow, N. D., and Wang, G. J. (2016). PET imaging for addiction medicine: from neural mechanisms to clinical considerations. Prog. Brain Res. 224, 175–201. doi: 10.1016/bs.pbr.2015.07.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Wink, M. (2015). Modes of action of herbal medicines and plant secondary metabolites. Medicines 2, 251–286. doi: 10.3390/medicines2030251

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolf, F. W., and Heberlein, U. (2003). Invertebrate models of drug abuse. J. Neurobiol. 54, 161–178. doi: 10.1002/neu.10166

PubMed Abstract | CrossRef Full Text | Google Scholar

Yartsev, M. M. (2017). The emperor’s new wardrobe: rebalancing diversity of animal models in neuroscience research. Science 358, 466–469. doi: 10.1126/science.aan8865

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: addiction, amphetamine, invertebrate reward, crayfish, operant learning

Citation: Datta U, van Staaden M and Huber R (2018) Crayfish Self-Administer Amphetamine in a Spatially Contingent Task. Front. Physiol. 9:433. doi: 10.3389/fphys.2018.00433

Received: 23 January 2018; Accepted: 06 April 2018;
Published: 14 May 2018.

Edited by:

Amir Ayali, Tel Aviv University, Israel

Reviewed by:

Leonardo Rodríguez-Sosa, Universidad Nacional Autónoma de México, Mexico
Fadi A. Issa, East Carolina University, United States

Copyright © 2018 Datta, van Staaden and Huber. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Robert Huber, rh.bgsu@gmail.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.