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Address correspondence to Sam A. Golden, Ph.D., Intramural Research Program, National Institute on Drug Abuse, Neurobiology of Relapse Section, 251 Bayview Boulevard, Suite 200, Baltimore, MD 21224.
Some people are highly motivated to seek aggressive encounters, and among those who have been incarcerated for such behavior, recidivism rates are high. These observations echo two core features of drug addiction: high motivation to seek addictive substances, despite adverse consequences, and high relapse rates. Here we used established rodent models of drug addiction to determine whether they would be sensitive to “addiction-like” features of aggression in CD-1 mice.
Methods
In experiments 1 and 2, we trained older CD-1 mice to lever press for opportunities to attack younger C57BL6/J mice. We then tested them for relapse to aggression seeking after forced abstinence or punishment-induced suppression of aggression self-administration. In experiment 3, we trained a large cohort of CD-1 mice and tested them for choice-based voluntary suppression of aggression seeking, relapse to aggression seeking, progressive ratio responding, and punishment-induced suppression of aggression self-administration. We then used cluster analysis to identify patterns of individual differences in compulsive “addiction-like” aggressive behavior.
Results
In experiments 1 and 2, we observed strong motivation to acquire operant self-administration of opportunities to aggress and relapse vulnerability during abstinence. In experiment 3, cluster analysis of the aggression-related measures identified a subset of “addicted” mice (∼19%) that exhibited intense operant-reinforced attack behavior, decreased likelihood to select an alternative reinforcer over aggression, heightened relapse vulnerability and progressive ratio responding, and resilience to punishment-induced suppression of aggressive behavior.
Conclusions
Using procedures established to model drug addiction, we showed that a subpopulation of CD-1 mice demonstrate “addiction-like” aggressive behavior, suggesting an evolutionary origin for compulsive aggression.
). However, voluntarily seeking aggression against members of one’s own species, and finding the experience reinforcing, has been described as an almost entirely human occurrence, representing a “perversion” of a hunting instinct that can be unmasked in the general population under permissive circumstances and may thereafter be repeated compulsively (
). The phenomenology of this appetitive aggression is similar to that of other rewarding experiences, such as sexual pleasure or drug intoxication; accordingly, aggression is sometimes pursued despite immediate or long-term adverse consequences (
Durose M, Cooper A, Snyder H (2014): Recidivism of prisoners released in 30 states in 2005: Patterns from 2005 to 2010. Available at: https://bjs.gov/content/pub/pdf/rprts05p0510.pdf. Accessed March 29, 2017.
Durose M, Cooper A, Snyder H (2014): Recidivism of prisoners released in 30 states in 2005: Patterns from 2005 to 2010. Available at: https://bjs.gov/content/pub/pdf/rprts05p0510.pdf. Accessed March 29, 2017.
). Therefore, appetitively driven human aggression appears to mimic core features of drug addiction: high motivation to seek the rewarding stimulus, often despite adverse consequences, and high relapse rates. In addition, like drug addiction, which develops in only about 20% of people who use addictive drugs (
If appetitive aggression against conspecifics is modulated by reward mechanisms similar to those that drive drug addiction, it may be observable across species in an analogous manner (
). However, self-administration and conditioned place preference are not sufficient to show that a rewarding stimulus is being sought maladaptively, addictively, or pathologically (
). In models of drug addiction, those criteria have been operationalized as self-administration despite adverse consequences (compulsive drug self-administration) and relapse to drug seeking during abstinence (
Effect of the novel positive allosteric modulator of metabotropic glutamate receptor 2 AZD8529 on incubation of methamphetamine craving after prolonged voluntary abstinence in a rat model.
), in which we trained a large cohort of male CD-1 mice for aggression self-administration and then tested them for choice-based voluntary suppression, relapse to aggression seeking, responding under a progressive ratio reinforcement schedule, and aggression self-administration despite adverse consequences (punishment).
The results of our first set of experiments demonstrate robust relapse to aggression seeking (operationally defined as persistent lever pressing under extinction conditions) after prolonged abstinence or suppression of aggression seeking, whether forced, punished, or choice-based, in nearly all aggressive mice. The results of our follow-up experiment, using previously established metrics for an “addicted” rodent (
), identify a subset of “aggression-addicted” mice (∼19%) that exhibited intense operant-reinforced attack behavior, decreased likelihood to select an alternative palatable food reward over aggression, heightened relapse vulnerability and progressive ratio responding, and resistance to punishment-induced suppression of aggression self-administration.
Methods and Materials
A detailed description of experimental subjects, apparatus, and procedures are provided in Supplemental Methods and Materials. We describe the specific experiments below.
Experiment 1: Relapse to Aggression Seeking After Forced Abstinence
The goal of experiment 1 was to determine the persistence of nonreinforced aggression seeking (relapse) after cessation of self-administration (Figure 1A). We trained 32 mice for self-administration, of which we excluded six “nonaggressive” mice (data not shown) that either failed to acquire self-administration or attacked fewer than six times on average across the 9 training days. We tested the 26 remaining mice for relapse to aggression seeking (30-minute tests) after 1 day (n = 13) or 15 days (n = 13) of forced abstinence in their home cage (between-subjects design). During the relapse tests, the mice were returned to the self-administration chamber, thereby re-exposing them to the contextual cues associated with aggression self-administration during training. Lever presses led to contingent delivery of the discrete cue previously paired with the delivery of submissive C57 mice.
Figure 1Relapse to aggression seeking after forced abstinence. (A) Time course schematic for training and testing (top) and for individual trials (bottom). Vertical red lines within the “lever extended” and “intruder” bars indicate an active lever press and removal of an intruder after an attack bout, respectively, relative to total possible durations. (B) Number of rewarded and attack trials over 9 days (80-minute session/day) of aggression self-administration under a trial design fixed-ratio 1 reinforcement schedule (n = 26). (C) Number of nonreinforced “active” lever and inactive lever presses during a 30-minute relapse to aggression-seeking test under extinction conditions on day 1 (n = 13) or day 15 (n = 13) of forced abstinence. Individual data denoted with circles. Data are mean ± SEM. ITI, intertrial interval.
Experiment 2: Relapse to Aggression Seeking After Punishment-Induced Suppression
The goal of experiment 2, in which we ran two cohorts of mice in succession, was to measure relapse to aggression seeking after suppression induced by punishment rather than after forced abstinence (Figure 2A). For the two cohorts, we trained a total of 54 mice for aggression self-administration, of which we excluded 23 “nonaggressive” mice. In the first cohort, we trained 16 mice for aggression self-administration; after punishment-induced suppression, we repeatedly tested them for relapse at 1, 15, and 35 days after the last punishment session. Because relapse rates were very low on days 1 and 15 and increased on day 35, we repeated the experiment with a second cohort of mice (n = 15), testing them at only 15 and 35 days to independently replicate the time-dependent increase in relapse to aggression seeking. During the forced abstinence days, we kept the mice in the animal facility.
Figure 2Relapse to aggression seeking after punishment-induced suppression. (A) Time course schematic for training, punishment, and testing (top) and for individual trials (bottom). (B) Number of rewarded and attack trials over 9 days (80-minute session/day) of aggression self-administration under a trial design fixed-ratio 1 reinforcement schedule (n = 31). (C) Number of rewarded and attack trials over 10 days (80-minute session/day) of aggression self-administration during the punishment phase (n = 31). The mice received response-contingent shocks in sessions 1 through 6 (0.1-mA increase every other day), and 0.4-mA on sessions 7 to 10 on 50% of reinforced active lever presses. (D) Number of nonreinforced “active” lever and inactive lever presses during a 30-minute test of relapse to aggression seeking in cohort 1 (left, n = 16) and cohort 2 (right, n = 15) under extinction conditions. Individual data denoted with circles. *Different from day 1 and 15 (left) or day 15 (right), p < .05. Data are mean ± SEM. ITI, intertrial interval.
Experiment 3: Relapse to Aggression Seeking After Choice-Based Voluntary Suppression and Examination of Individual Differences
In experiment 3, we tested the persistence of aggression seeking after voluntary suppression by availability of a mutually exclusive alternative reward, palatable food. We also used a larger sample so that we could examine individual differences (Figures 3A and 4A). We trained 60 mice for aggression self-administration, of which we excluded 17 “nonaggressive” mice. We divided the remaining 43 mice into two cohorts, each of which we first trained for self-administration of both palatable food and aggression for 9 days (counterbalanced order each day), followed by tests for relapse to aggression seeking 1 day and/or 15 days after training; in between the tests, we exposed the mice to the choice-based voluntary-suppression procedure (see above). In the first cohort (n = 17), we tested the mice for relapse to aggression seeking on both days 1 and 15 (n = 9) or on day 15 only (n = 8; within- and between-subjects assessment). We then tested all mice under the progressive ratio schedule and for punishment-induced suppression of aggression self-administration. In the second cohort (n = 26), we used the same procedure and tested all mice for relapse to aggression seeking on days 1 and 15. The data from experiment 3 were used for cluster analysis as described in the Supplement.
Figure 3Relapse to aggression seeking after choice-based voluntary suppression, and differences in propensity to aggression in a large cohort of CD-1 mice. (A) Schematic of the overall time course for training, choice-based voluntary suppression, progressive-ratio (PR) testing, and punishment testing. (B) Schematic for individual trials. Self-administration trials and punishment trials were identical to those described in Figures 1A and 2A. (C) (Left) Number of food rewards, aggression rewards, and attack trials over 9 days (80-minute session/day) of food and aggression self-administration under a fixed-ratio 1 reinforcement schedule (n = 43). (Right) Number of food and aggression rewards earned over 10 days (80-minute session/day) of the voluntary suppression choice phase (n = 43). (D) Number of nonreinforced “active” lever and inactive lever presses during a 30-minute test of relapse to aggression seeking. (Left) Between-subjects comparison, day 1 (n = 9) vs. day 15 (n = 8). (Right) Within-subjects comparison (n = 26). (E) Number of rewards earned during three 2-hour progressive-ratio tests for aggression (left) and palatable food (right) (n = 43). (F) Number of rewarded trials over 10 days (80-minute session/day) of aggression self-administration during the punishment phase (n = 43). The mice received response-contingent shocks (0.1 mA on days 1–3, 0.2 mA on days 4–5, and 0.25 mA on days 6–7) on 50% of reinforced active lever presses. Individual data denoted with circles in corresponding panels. *Different from day 1, p < .05. Data are mean ± SEM. BL, baseline; C, choice test; ITI, intertrial interval.
Figure 4Cluster analysis of aggression-related behaviors. (A) Schematic of measures used in cluster analysis. (B) Distributions of individual responses (n = 41) for each of the five measures: attacks, relapse, aggression choice, aggression progressive ratio (PR), and punishment (see text). (C) Cluster analytical pipeline. Two clustering algorithms were used to independently provide unbiased group assignments and establish optimal cluster assignment overlap. (D) Scatterplot of normalized punishment and resilience ratio scores, colored by cluster assignment. Red circles denote compulsive aggression-seeking mice (cluster 1, n = 11) and blue circles denote typical aggression-seeking mice (cluster 2, n = 30). (Right) Final phenotype assignments under TwoStep clustering. (E) Visual representation of clusters using projection of data onto the first three principal components of the five original measures. Asterisk denotes the single mouse differentially assigned between clustering algorithms in 4D and 4E. (Right) Pie chart showing the explained variance of the three principal components by which the data are displayed. (F) Breakdown, by cluster, of the measures shown in 4B. Individual data denoted with circles. *Different from the typical aggression group, p < .05. Group data are mean ± SEM. BIC, Bayesian information criterion; C-H, Calinski–Harabasz criterion; PC, principal component; PCA, principal component analysis.
) to determine whether the propensity to relapse to aggression seeking would decrease, increase, or remain stable after the cessation of voluntary aggression (Figure 1A). We trained sexually experienced, 4- to 6-month-old male CD-1 mice (n = 32) to self-administer encounters with an intruder (a younger submissive C57BL/6J [C57] male mouse; see Supplemental Methods and Materials). We excluded six “nonaggressive” mice that either failed to acquire self-administration or attacked fewer than six times per day during the training phase (data not shown). The remaining 26 mice increased their aggression self-administration over days, as measured by the daily number of rewarded trials (F8,200 = 10.3, p < .001) and the number of trials on which they attacked the intruder (F8,200 = 10.1, p < .001; Figure 1B; complete statistical results can be found in Supplemental Table S1). We then assigned aggressive mice to two groups and tested them for relapse to nonreinforced aggression seeking on either day 1 (n = 13) or day 15 (n = 13) of forced abstinence. On both days, the mice showed high rates of responding on the previously active lever but not the inactive lever (F1,24 = 97.4, p < .001), indicating persistent aggression seeking that was independent of the duration of forced abstinence (p > .1; Figure 1C).
Relapse to Aggression Seeking After Punishment-Induced Abstinence
In experiment 2, we used a rodent model of drug relapse after punishment-induced suppression of self-administration (
) to determine whether aggression seeking would resume after termination of punishment (Figure 2A). We trained sexually experienced, 4- to 6-month-old CD-1 mice (n = 54) to self-administer encounters with an intruder C57 mouse. We excluded 23 “nonaggressive” mice that failed to acquire self-administration. The remaining 31 mice increased their aggression self-administration over days, as measured by the daily number of rewarded trials (F8,240 = 9.7, p < .001) and attack trials (F8,240 = 6.6, p < .001; Figure 2B). After self-administration training, we exposed the aggressive mice to 10 days of punished responding, in which 50% of the reinforced lever presses were paired with footshock; we gradually increased the shock intensity over days (Supplemental Methods and Materials). During the punishment phase, the mice decreased their responding for aggression with increasing shock intensity, as measured by the number of rewarded daily trials (F6,180 = 234.1, p < .001) and attack trials (F6,180 = 82.3, p < .001; Figure 2C). Next, we split these mice into two groups for relapse testing. We tested the first group (n = 16) on days 1, 15, and 35 of forced abstinence after termination of the punishment phase. We found that aggression seeking was significantly higher on day 35 than on days 1 and 15 (test day × lever interaction, F2,30 = 6.2, p = .006; Figure 2D, left). Because relapse rates were very low on days 1 and 15 and increased on day 35, we repeated the experiment with the second group of mice (n = 15), testing them only on days 15 and 35 to independently replicate the time-dependent increase in relapse to aggression seeking after termination of punishment-imposed abstinence. We found that aggression seeking was significantly higher on day 35 than on day 15 (test day × lever interaction, F1,14 = 17.3, p = .001; Figure 2D, right).
Relapse to Aggression Seeking After Choice-Based Voluntary Suppression
In experiment 3, we used a rodent model of drug relapse after choice-based voluntary abstinence or suppression of drug self-administration (
Effect of the novel positive allosteric modulator of metabotropic glutamate receptor 2 AZD8529 on incubation of methamphetamine craving after prolonged voluntary abstinence in a rat model.
) to determine whether aggression seeking would subsequently decrease, increase, or remain stable after voluntary suppression of aggression self-administration (Figure 3A). Voluntary suppression of aggression self-administration was achieved by providing a mutually exclusive palatable food reward during repeated daily choice sessions (Supplemental Methods and Materials). We also used a larger sample so that we could examine individual differences in propensity to aggression seeking, using different measures of motivation to seek an appetitive reward (see below). We trained 60 CD-1 mice for self-administration of access to aggression and food for 9 days (1 session/day for each reward). We excluded 17 mice because they failed to acquire aggression self-administration. The remaining aggressive mice (n = 43) acquired self-administration of both food (F8,336 = 23.2, p < .001) and aggression (rewarded trials: F8,336 = 9.0, p < .001; attack trials: F8,336 = 3.7, p < .001) across nine daily counterbalanced training sessions (Figure 3C, left). We exposed the mice to one choice session between the fourth and fifth training sessions to determine initial choice during training. We then tested the mice for voluntary suppression of aggression seeking using the palatable food as the alternative reward, observing a robust preference for food (F1,42 = 260.1, p < .001) that increased over the choice sessions (F9,378 = 4.3, p < .001; Figure 3C, right).
Prior to choice-based voluntary suppression, we split the mice into two cohorts for both between- and within-subjects assessment of relapse. In the first cohort (n = 17), we used a between-subjects design and compared two groups of mice for relapse before (group 1, n = 9, day 1) versus after voluntary suppression of aggression self-administration (group 2, n = 8, day 15). We also exposed the mice in group 1 to the choice-based voluntary suppression procedure and retested them for relapse on day 15. In the second cohort (n = 26), we used a within-subjects design and tested all mice for relapse repeatedly on days 1 and 15 under conditions identical to those of group 1 in cohort 1. In each cohort of mice, we observed high rates of responding on the active but not the inactive lever on days 1 and 15, indicating persistent aggression seeking that was only minimally suppressed by choice (between group: F1,15 = 63.6, p < .001; within group: F1,25 = 118.2, p < .001); the within-group cohort showed a modest decrease in responding across the two test days (F1,25 = 6.8, p = .015), possibly because of extinction learning (Figure 3D).
We next tested all mice for 3 days for their motivation to seek aggression and palatable food under a progressive-ratio reinforcement schedule (see Supplemental Methods and Materials), a measure of the reinforcing efficacy of positive reinforcers. Responding was higher for food than for aggression (F1,42 = 14.8, p < .001; Figure 3E). Finally, we tested the mice in a modified punishment procedure where the shock was increased across days up to a maximum value of 0.25 mA, a shock level that would allow us to detect individual differences in punishment sensitivity (see Supplemental Methods and Materials), based on the results of experiment 2. The mean number of reward trials decreased across sessions as shock level increased (F7,294 = 30.0, p < .001; Figure 3F).
Cluster Analysis of Individual Differences in Aggression-Seeking Behaviors
Next, we used the data in Experiment 3 to identify individual differences in aggression motivation. We used unsupervised cluster analyses to obtain an unbiased estimate of the number of aggression-seeking phenotypes within the population and to classify individual aggressive mice into the identified subpopulations. Before clustering the aggression motivation data, we first excluded two mice that were more than 2.5 standard deviations and three median absolute deviations from the five-dimensional centroid/medoid of the sample, leaving a reduced sample of 41 aggressive mice. We chose the following five dimensions for cluster analysis (Figure 4A, B): 1) attacks; 2) relapse; 3) aggression choice; 4) aggression progressive ratio; and 5) punishment resilience ratio (a detailed description can be found in Supplemental Methods and Materials).
We then used an SPSS (version 23; IBM Corp., Armonk, NY) classification procedure, TwoStep clustering, both to determine the number of clusters in the dataset and to assign every mouse to a cluster. We chose to use relapse and punishment resilience ratio (resistance to punishment) as the variables for TwoStep clustering because 1) relapse propensity (presumably reflecting persistent craving) and disregard of adverse consequences are cardinal features of addiction, and 2) clustering routines will perform better on small sample sizes with reduced dimensionality (in our case, n = 41 observations). TwoStep clustering identified an optimal cluster number of two in the bivariate distribution of relapse and punishment resilience ratio values and classified 30 mice into one cluster that we termed typical aggression seeking and 11 mice into the second cluster that we termed compulsive aggression seeking (Figure 4C).
We then ran a parallel cluster analysis to validate the results of the TwoStep analysis. For this secondary cluster analysis, we used all five measures in an agglomerative hierarchical algorithm (Ward method). The results were like those of the TwoStep routine, finding an optimal cluster number of two with Calinski–Harabasz validation and producing cluster assignments that differed by only one mouse from those of the TwoStep routine (typical aggression seeking, n = 29; compulsive aggression seeking, n = 12; normalized mutual information = 0.84, p < .001). This mouse is indicated by an asterisk in Figure 4D and 4E. For all subsequent analyses, we used the cluster assignments from the initial TwoStep classification (see Supplemental Table S2 for direct comparisons of the group means for the five measures between the two clustering methods).
To display the clusters, we represented five-dimensional data from each mouse in a reduced three-dimensional space spanned by the first three principal components of the data (proportion of explained variance, 82%; Figure 4E, right; Supplemental Figure S1). Subsequent comparison of the cluster means confirmed that the 11 mice classified as “compulsive aggression seeking” were significantly higher on all five aggression-seeking measures (attacks: F1,40 = 10.5, p = .002; relapse: F1,40 = 15.8, p < .001; aggression choice: F1,40 = 6.3, p = .016; aggression progressive ratio: F1,40 = 45.8, p = .002; and punishment-resilience ratio: F1,40 = 10.5, p = .002; Figure 4F). The mice in the two clusters did not differ in their motivation to seek palatable food under the progressive-ratio schedule (p > .1; Figure 4F).
Discussion
We used established animal models of drug addiction and relapse to characterize motivated aggression behavior in male CD-1 mice. We report three main findings. First, we observed that ∼70% of older, sexually experienced outbred CD-1 mice will rapidly learn to lever press for an opportunity to attack younger subordinate male C57 mice. Second, using models of drug relapse after forced abstinence (
Effect of the novel positive allosteric modulator of metabotropic glutamate receptor 2 AZD8529 on incubation of methamphetamine craving after prolonged voluntary abstinence in a rat model.
), we showed relapse to aggression seeking that persisted long after the last aggressive act. Third, and perhaps most important, our cluster analysis of the aggression-related measures identified a subset of mice (∼19%) that met criteria previously developed to denote addiction in rodent models (
): intense operant-reinforced attack behavior, decreased likelihood to select an alternative food reward over aggression, heightened relapse vulnerability and progressive ratio responding, and resistance to punishment-induced suppression of aggressive behavior. We discuss these findings below.
Aggression Self-administration in Mice
Our findings of reliable aggression self-administration in CD-1 mice confirm and extend work with other strains of mice, starting with studies by Fish et al. (
), the originators of the operant aggression self-administration procedure. They showed that adult male sexually experienced outbred Swiss Webster (CFW) resident mice would nose poke for access to attack adult male subordinate sexually naïve CFW intruders under any of several reinforcement schedules. Subsequently, Couppis and Kennedy (
) showed that outbred adult male sexually experienced CFW resident mice would nose poke for access to subordinate adult sexually naïve CFW intruders. Most recently, Falkner et al. (
) showed that outbred adult male sexually experienced CFW resident mice would nose poke for access to subordinate sexually naïve inbred Balb/c intruders.
Together, these results and our training phase results indicate that the act of aggression can be rewarding to some mice, in a manner analogous to that seen in some people under both typical circumstances (
Effect of the novel positive allosteric modulator of metabotropic glutamate receptor 2 AZD8529 on incubation of methamphetamine craving after prolonged voluntary abstinence in a rat model.
). One difference, however, was that relapse to aggression seeking did not appear to progressively increase or incubate over time (Figures 1 and 3), as is the case with addictive drugs (
). The reasons for this difference are unknown, but we suspect that it was caused by the high rates of lever pressing on day 1 of abstinence—several-fold higher than what we and others have observed in studies of incubation of drug seeking (
). This suggests that the motivation to seek aggression during forced or voluntary abstinence remains high in a time-independent manner. In contrast, we found that while punishment suppressed aggression-seeking behavior for the initial two weeks postpunishment, aggression seeking gradually recovered in a subset of the mice, who ultimately showed a high propensity to relapse. This is like our earlier findings with punished seeking of methamphetamine or palatable food (
Our discrete choice voluntary suppression procedure significantly decreased aggression self-administration in most mice. This finding extends results from previous studies by our group and others, in which discrete choice procedures (palatable food vs. drug) were used to decrease self-administration of cocaine (
Effect of the novel positive allosteric modulator of metabotropic glutamate receptor 2 AZD8529 on incubation of methamphetamine craving after prolonged voluntary abstinence in a rat model.
) in food-sated rats. However, in those studies, we observed complete suppression of drug intake in essentially all rats, even after extended long-term access to methamphetamine or heroin (
). In contrast, suppression of aggression self-administration was more variable across mice, and the availability of an alternative food reward rarely caused complete cessation of aggression during the choice sessions (Figure 3C).
Addiction-like Aggressive Behavior
Variability across mice was one of the key features of our findings, and we used this feature to emulate methods that other investigators have used to characterize addiction-prone subpopulations of laboratory animals (
). Using those methods, we found that ∼19% of our large cohort of mice met criteria for an “aggression-addicted” rodent. This subpopulation showed intense operant-reinforced attack behavior, a decreased likelihood to select an alternative food reward over aggression, heightened relapse vulnerability and progressive ratio responding, and resistance to punishment-induced suppression of aggressive behavior. In drug addiction research, these are the hallmarks of the addicted rodent (
To identify subpopulations in our mice, we performed unbiased clustering on aggression-related measures to reveal two distributions in the population, which we termed compulsive aggression-seeking and typical aggression-seeking mice. We corroborated our results with a second clustering routine, which gave almost identical results and reassigned only a single subject between clusters. We take the existence of two subpopulations to reflect the fact that aggression can be highly adaptive, even critical for survival; in stable closed colonies of feral-derived mice, aggression has a clear hereditary natural selection bias (
), aggression can become maladaptive. For example, in mice bred for aggressiveness, repeated victories lead to increasingly severe and unusually aggressive attacks over subsequent resident–intruder pairings, even when the subordinate displays clear submission signals (
). Understanding how this transition occurs, and even the basic neural mechanisms guiding adaptive aggression seeking, will have important implications for the development of treatment strategies across neuropsychiatric disorders that are comorbid with maladaptive aggression (
However, there are some caveats in the interpretation of the present data. One issue is that our data were derived from male, sexually experienced genetically outbred CD-1 mice, a strain known for its innately high aggression levels. Therefore, whether the data from the current sample generalizes to other mice strains and to female mice is unknown. Another issue is that the ethology of aggression, while often conserved across species, is evolutionarily guided to each species’ niche environment. We therefore do not know whether the compulsive aggression seeking observed in our study is pathological or maladaptive in mice. However, we argue that such behavior in humans is detrimental and that modeling the compulsive appetitive aggression in mice may be relevant to understanding the neural circuits underlying human appetitive aggression, which is often both pathological and maladaptive.
Clinical Implications
Inappropriate aggression is the direct cause of suffering and death for millions of people around the world (
Durose M, Cooper A, Snyder H (2014): Recidivism of prisoners released in 30 states in 2005: Patterns from 2005 to 2010. Available at: https://bjs.gov/content/pub/pdf/rprts05p0510.pdf. Accessed March 29, 2017.
). We take the general commonality of aggression seeking between rodents and humans, and more importantly the shared vulnerability for compulsive addiction-like aggression seeking within a smaller subpopulation in each species, to reflect a biologically conserved correlate of compulsive aggression seeking across species. This observation suggests that this type of aggression in humans—appetitive aggression (
)—can be viewed within the context of addiction, and that neurobiological and behavioral tools for the study of compulsive drug seeking and relapse should be used to study brain mechanisms of this type of aggression, both preclinically and clinically. Our finding of a distinct subpopulation of compulsively aggression-seeking male CD-1 mice suggests an evolutionary origin for pathological aggression and support theories that explain human aggression in terms of its appetitive rewarding properties (
). Finally, an appetitively motivated compulsion toward aggression might be an important endophenotype to include in dimensional formulations of psychopathology, such as the National Institute of Mental Health’s Research Domain Criteria. The current formulation of the Research Domain Criteria mentions aggression only within the domain called negative-valence systems (
). Research Domain Criteria workgroups have considered adding nondefensive aggression as a unit of behavioral analysis within the domain called social processes, but only in terms of its instrumental role in establishing social hierarchies (
). Our findings suggest that these conceptualizations of aggression are fundamentally incomplete. Whether viewed dimensionally (as a trait that every individual possesses to some degree) or categorically (as a pathological excess in a discrete subpopulation), some forms of aggression may be best understood as strong appetitive reinforcers, carrying the attendant risks of addiction.
Acknowledgments and Disclosures
This work was supported by the Intramural Research Program of the National Institute on Drug Abuse (to YS) and a National Institute of General Medical Sciences Postdoctoral Research Associate Grant 1FI2GM117583-01 (to SAG).
We thank Dr. Klaus Miczek for his advice on developing the aggression self-administration behavior. We thank Andrew Huang for assisting in running the experiments.
The authors report no biomedical financial interests or potential conflicts of interest.
Durose M, Cooper A, Snyder H (2014): Recidivism of prisoners released in 30 states in 2005: Patterns from 2005 to 2010. Available at: https://bjs.gov/content/pub/pdf/rprts05p0510.pdf. Accessed March 29, 2017.
Effect of the novel positive allosteric modulator of metabotropic glutamate receptor 2 AZD8529 on incubation of methamphetamine craving after prolonged voluntary abstinence in a rat model.
The externalizing spectrum of psychopathology encompasses interrelated disinhibitory behaviors and distinctive aggressive and addictive conditions (1). Dysregulated reward mechanisms play a prominent feature in neurobiological models of addictive forms of externalizing (i.e., substance use disorders) (2). By contrast, theoretical perspectives on impulsive-aggressive behavior have emphasized the role of frontal-executive systems of the brain that regulate negative affectivity (anger and distress) and guide behavioral output (3).
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