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. Author manuscript; available in PMC: 2019 Jan 30.
Published in final edited form as: Behav Brain Res. 2017 Sep 21;337:53–60. doi: 10.1016/j.bbr.2017.09.032

Decreased Environmental Complexity during Development Impairs Habituation of Reinforcer Effectiveness of Sensory Stimuli

Ruixiang Wang a,b, Kathryn A Hausknecht a, Samir Haj-Dahmane a, Roh-Yu Shen a,*,#, Jerry B Richards a,#
PMCID: PMC5676459  NIHMSID: NIHMS911399  PMID: 28943426

Abstract

Previous research has shown that rats reared in simple/impoverished environments demonstrate greater repetitive responding for sensory reinforcers (e.g., light onset). Moreover, the brains of these rats are abnormally developed, compared to brains of rats reared in more complex/enriched environments. Repetitive behaviors are commonly observed in individuals with developmental disorders. Some of these repetitive behaviors could be maintained by the reinforcing effects of the sensory stimulation that they produce. Therefore, rearing rats in impoverished conditions may provide an animal model for certain repetitive behaviors associated with developmental disorders. We hypothesize that in rats reared in simple/impoverished environments, the normal habituation process to sensory reinforcers is impaired, resulting in high levels of repetitive behaviors. We tested the hypothesis using an operant sensory reinforcement paradigm in rats reared in simple/impoverished (IC), standard laboratory (SC), and complex/enrichened conditions (EC, treatments including postnatal handling and environmental enrichment). Results show that the within-session habituation of the reinforcer effectiveness of light onset was slower in the IC and SC rats than in the EC rats. A dishabituation challenge indicated that within-session decline of responses was due to habituation and not motor fatigue or sensory adaptation. In conclusion, rearing rats in simple/impoverished environments, and comparing them to rats reared in more complex/enriched environments, may constitute a useful approach for studying certain repetitive behaviors associated with developmental disorders.

Keywords: stereotypic behavior, reinforcer effectiveness, sensory reinforcement, autism, environmental enrichment, operant

1. Introduction

Restricted, repetitive, and stereotyped patterns of behaviors are commonly observed in developmental disorders, such as autism spectrum disorder (ASD) and stereotypic movement disorder (SMD) [1, 2]. These behaviors are disruptive to learning and coping. It has been proposed that some of these behaviors could be maintained by sensory reinforcement – the sensory consequences produced by the behaviors [3]. Therefore, they are also called self-stimulatory behaviors in some literature [35], and the mechanism has been variously labeled as perceptual reinforcement [3], automatic reinforcement [68], or sensory reinforcement [9, 10]. Altering sensory consequences or providing alternative reinforcers has been shown to reduce repetitive behaviors in children with developmental disorders [8, 11, 12].

Environmental factors are known to play an important role in modulating repetitive behaviors. Animals and humans raised in simple/impoverished environments display more repetitive, stereotyped behaviors than those raised in more complex/enriched environments. For example, the repetitive pacing in zoo animals in their cages is attributed to the lack of normal environmental complexity [13]. Likewise, children raised in intuitional settings without environmental complexity show greater frequencies of repetitive behaviors [14]. In contrast, exposure to complex environments, or environmental enrichment, can effectively ameliorate or prevent repetitive behaviors in zoo and lab animals [1521]. Similarly, relatively complex foster-care environments can significantly reduce stereotypies in children with a history of institutional care [22].

We have suggested that repetitive behaviors maintained by sensory reinforcement are due to impaired habituation of reinforcer effectiveness of the sensory stimuli [23]. Habituation is the simplest form of learning, which allows organisms to cease to respond to irrelevant stimuli [24]. For example, in normal individuals, the reinforcing effects of irrelevant sensory stimuli generated by body rocking rapidly habituate. For individuals with developmental disorders or delays, habituation of the reinforcing effects of sensory stimuli generated by rocking may occur more slowly or perhaps not at all. Slow/impaired habituation to sensory stimuli may underlie the enhanced repetitive behaviors, which are reinforced and maintained by the sensory consequences they produce.

The goal of this present study was to demonstrate that rearing rats in simple/impoverished environments increased repetitive behaviors maintained by sensory reinforcers (i.e., response-contingent light onset) in an operant paradigm. Furthermore, we hypothesize that the increase in repetitive behaviors is caused by impaired habituation of the reinforcer effectiveness of the sensory stimuli. Using an operant paradigm to investigate repetitive behaviors is different from other animal models of repetitive behaviors that assess general activity or utilize observational measures [21]. This approach allows us to specifically investigate how repetitive behaviors are maintained by sensory reinforcers. The reason why we used light onset as the sensory stimulus was that, unlike food or water, it is biologically unimportant. Repeated responding to such stimuli represents typical repetitive behaviors. The validity of this model is supported by the observation of an association between increases in sensitivity to sensory stimuli and repetitive behaviors in children with ASD and developmental delays [2528].

Three different animal-rearing environments were used: impoverished (IC), standard laboratory (SC), and enriched conditions (EC). The EC condition was composed of two consecutive interventions, postnatal handling (pre-weaning) and environmental enrichment (post-weaning). They are widely used animal models to study prevention or intervention of various psychological disorders [21, 2941], and have been shown to exert additive beneficial effects when applied together [4244]. Moreover, a test of dishabituation was used to provide evidence that the within-session decline in responding in rats was due to impaired habituation, not sensory adaptation or motor fatigue.

2. Methods

2.1 Animals and rearing conditions

Male Sprague-Dawley rats were bred in house. Briefly, male and virgin female breeders (Envigo, Indianapolis, IN, USA) were housed in pairs in breeding cages until mating plugs were found. Then females were singly housed in standard plastic cages until giving birth. The colony rooms were on a 12h/12h reverse light/dark cycle with light on during 7:00 p.m. – 7:00 a.m. All procedures were approved by the Institutional Animal Care and Use Committee of University at Buffalo, The State University of New York.

After birth, pups were culled to 10 (with ≤ 8 males) per litter. Litters were randomly assigned to the IC, SC, and EC groups and used in different projects. On average, 3.6 rats per litter were used in this study. Littermates, however, were not allocated to different groups due to application of the pre-weaning treatment (i.e., postnatal handling).

Before weaning, each litter (pups and dam) in the IC and SC groups was housed in standard plastic cages (25×48×20 cm) and left undisturbed except for weekly cage changes. Pups in the EC group underwent a brief maternal separation (15 min) and handling procedure once daily during postnatal days (PDs) 2–20. The purpose of postnatal handling was to enhance maternal behavior, as a complemental enrichment procedure in the early developmental period [42, 45].

Pups were weaned on PD 21, and only male rats were kept for the experiments. After weaning, rats in the IC group were singly housed in small metal hanging cages (17×24×20 cm), which were facing a wall without disturbance (no cage change). Rats in the SC group were housed in pairs in standard plastic cages and not disturbed except for weekly cage changes. Rats in the EC group were group housed (10 per cage) in a large 4-level pet cage (64×92×160cm, Model: CG-71111, Drs. Foster & Smith, Rhinelander, WI, USA) with 30 small pet toys, including pods, hideouts, ropes, and wheels (Drs. Forrest and Smith). The toys were relocated or changed daily to create novelty. The EC rats were transferred to temporary cages during toy reconfiguration, which typically took 15 min per day. All of the housing conditions were maintained until the completion of the experiments.

2.2. Apparatus

Twenty-four locally built experimental chambers, previously described in detail [46], were used for the operant procedure. Briefly, the left and right side walls each had one snout poke aperture. The test chamber was located inside of a sound-and-light attenuating box, with a wall-mounted fan that provided ventilation and masking noise. The reinforcer light used in the experiments was located on the ceiling, midway between the two snout poke apertures. Snout poke could cause onset of the light, which produced an illuminance of 68 lx, as measured from the center of the test chamber. Snout pokes were monitored with infrared photo sensors located in the snout poke apertures. The chambers were connected to a computer using the MED Associates (Fairfax, VT, USA) interface. The MED PC® programming language was used for programming of the experimental contingencies.

2.3. Procedure

Eight-week-old rats (IC: n=16; SC: n=10; EC: n=10) underwent light-onset reinforcement training in the operant chambers. One poke aperture was randomly assigned as the “active” hole and the other the “inactive” hole. During the pre-exposure phase, rats underwent 10 continual daily 60-min test sessions in the unlit chambers. Snout pokes were recorded but had no programmed consequences. In the following light-onset phase, rats underwent sessions 11–20, in which snout poking into the active hole turned on the light for 5s under a variable-interval 1-min schedule (Fleshler and Hoffman, 1962), while snout poking into the inactive hole had no programmed consequences. Because the response rate was very low in the last 42 min of the 60-min sessions, only the first 18 min of each session were analyzed. The 18 min were divided into six 3-min epochs for data analysis. All of the testing procedures were conducted during the dark phase of the light-dark cycle.

2.4. Dishabituation challenge

After the light-onset phase, the rats underwent a dishabituation challenge, during which a continuous loud (~90 dB) warbling sound (noise) produced by a Sonalert (Model: SC110, Mallory, Indianapolis, IN, USA) was presented from 31st to 36th min of the test session. The 60-min dishabituation test session was divided into ten 6-min epochs, and responses in each epoch were expressed as percentage of the responses in the first 6 min of the baseline sessions. Averages from two regular 60-min light-onset sessions just before the dishabituation challenge were used as baseline.

2.5. Data Analysis

Responses were analyzed by averaging numbers of nose pokes to the active or inactive holes in the first 18 min of 2 consecutive sessions during both pre-exposure and light-onset reinforcement phases. The reinforcer effectiveness of light onset was measured by the proportional response to the active hole/total responses.

The within-session decline in responding (habituation) was quantified by two methods. The first method was area under the curve (AUC) measure. The procedure for computing AUC has been described in detail previously [47]. Briefly, nose pokes from each 3-min epoch were normalized to the maximal number of responses in an epoch (typically the first of the 6 epochs). Using the normalized values as y-coordinates, the six 3-min epochs that made up the 18-min observation period were partitioned into five trapezoid areas for computing the AUC measure. Smaller AUC values could indicate faster within-session decline in responding and more rapid habituation.

The second method was to fit an exponential decay curve to the within-session decline in responding, which was only applied in the light-onset phase, and averages from sessions 13–20 were used for curve fitting. Sessions 11–12 were excluded from this analysis, because a stable habituation pattern (within-session decline in responding) had not emerged during this initial behavioral acquisition period. The equation for curve fitting was

y=y0+Ae-x-x0τ,

where A was the amplitude, and τ the decay time constant, with x0 = 0, y0 = 1. The parameter τ characterized the rate of response decline (habituation). The smaller this parameter, the faster the decline and the greater habituation. Larger values of A indicate higher rates of initial responding. Averaging across sessions, instead of using responses from individual sessions, helps smooth out the data and make curve fitting feasible.

One-way or 3-way mixed analysis of variance (ANOVA) was used to make group comparisons, with litter as a nested variable, so that potential litter effects could be controlled for. The post hoc Tukey test was used to detect specific pairwise differences following significant main or interaction effects. The Pearson product-moment correlation coefficient test was used to compute correlation coefficients. Before performing curve fitting, 19 outliers (including 7 from EC, 6 from SC, and 6 from IC groups) out of 432 datum points (responses within 3-min epochs) were identified, using boxplots [48]. They were all greater than the maximums set by boxplots, and thus the outliers were brought down to the next highest values within the same group in a given epoch. Statistical analyses were conducted via SAS 9.4 (SAS Institute Inc., Cary, NC, USA), and the alpha criterion was set at 0.05. Curve fitting was performed using Origin 2016 (OriginLab Co., Northampton, MA, USA).

3. Results

3.1. Rearing in impoverished and standard laboratory environments leads to high levels of repetitive responding and reinforcer effectiveness of light onset

During the pre-exposure phase, there were a session main effect, F4,140=17.29, p<0.001, and a group X hole interaction effect, F2,33=4.09, p< 0.05 (Fig. 1A & 1B, left panel), based on a 3-way (group, active/inactive hole, and session) mixed ANOVA with litter as a nested variable (litter effect: F13,20=9.82, p<0.001). The post hoc Tukey test revealed differences between the IC and EC groups and between the SC and EC groups, for responses to the active (IC vs. EC: p< 0.001, SC vs. EC: p< 0.001) or inactive hole (IC vs. EC: p< 0.001, SC vs. EC: p< 0.001). The numbers of responses were the lowest in the EC group, and there were no differences between the IC and SC groups.

Fig. 1.

Fig. 1

Rats reared in the impoverished (IC) and standard (SC) conditions responded more to the novel environment and contingent light-onset than rats reared in the enriched condition (EC). In each panel, the dashed line separates the pre-exposure (left, sessions 1–10) and light-onset (right, sessions 11–20) phases. (A) & (B) Rats in the IC and SC groups made more responses to the active & inactive holes respectively than rats in the EC group. (C) The proportion of responses to the active hole/total responses to both holes increased after introduction of the contingent light-onset in all 3 groups. Plotting is based on two-session blocks, and each symbol represents the average from two consecutive sessions. Data are expressed as Mean±SEM. *: p<0.05; %: p<0.01; #: p<0.001, post hoc Tukey test: IC vs. EC groups.

During the light-onset phase, there was a 3-way interaction effect for group, active/inactive hole, and session, F20,124=2.71, p<0.001 (Fig. 1A & 1B, right panel), revealed by a 3-way mixed ANOVA with litter as a nested variable (litter effect: F13,20=6.75, p<0.001). Rats in the IC group responded the most to the active hole, followed by rats in the SC group, while rats in the EC group responded the least (IC vs. SC, p<0.01, post hoc Tukey test; SC vs. EC, p<0.001). There were no differences in responding to the inactive hole between the IC and SC rats, while both the IC and SC rats responded more to the inactive hole than the EC rats (IC vs EC, p<0.01; SC vs EC, p<0.001).

The proportional response to the active hole/total responses to both holes reflects relative reinforcer effectiveness of light onset. There was a significant group X light-onset interaction effect, F2,33=6.45, p<0.01 (Fig. 1C; 3-way mixed ANOVA of group, pre-exposure/light-onset, and session, with litter as a nested variable, litter effect: F13,20=3.30, p<0.01). Rats in all 3 groups increased the proportion of responses to the active hole after contingent light-onset was introduced (averages across sessions 1–10 and sessions 11–20, IC: 49±2.3% to 75±2.6%, p<0.001, post hoc Tukey test; SC: 46±3.6% to 68±2.9%, p<0.001; EC: 52±3.1% to 67±3.2%, p<0.001). These results indicate that contingent light-onset was reinforcing to all animals.

3.2. Rearing in impoverished and standard laboratory environments leads to slow habituation of reinforcer effectiveness

The general responding for both active (Fig 2A) and inactive (Fig 2B) holes clearly declined during the initial 18-min period of each session, suggesting within-session habituation. The decline was quantitatively characterized by the AUC measure (Fig 2C & 2D) and exponential decay curve fitting (Fig. 3).

Fig. 2.

Fig. 2

Rats reared in the impoverished (IC) and standard (SC) conditions habituated slower than rats reared in the enriched condition (EC), as suggested by the measure of area under the curve (AUC). In each panel, the dashed line separates the pre-exposure (left, sessions 1–2, and 9–10) and light-onset (right, sessions 11–20) phases. In the pre-exposure phase, only the first two (1–2) and last two sessions (9–10) are displayed. (A) & (B) Rats’ responses to the active & inactive holes declined respectively, suggesting within-session habituation. Each data point depicts responses in a 3-min epoch during the first 18 min of the session. (C) & (D) Rats in the IC and SC groups habituated at a slower rate, indicated by larger AUCs, than rats in the EC group, for the active & inactive holes respectively. Plotting is based on two-session blocks, and each measure represents the average from two consecutive sessions. Data are expressed as Mean±SEM. *: p<0.05; %: p<0.01; #: p<0.001, post hoc Tukey test: IC vs. EC groups.

Fig. 3.

Fig. 3

Rats reared in the impoverished (IC) and standard (SC) conditions habituated slower than rats reared in the enriched condition (EC), as suggested by exponential decay curve fitting. The fitting curves ( y=y0+Ae-x-x0τ,x0 = 0, y0 = 1) were constructed based on average responses in sessions 13–20 of the light-onset phase. (A) & (B) Exponential fitting curves of responses to the active & inactive holes respectively, in the IC, SC, and EC rats. (C) Rats in the IC group had the highest responses to the active hole at the beginning of each session (baseline), followed by rats in the SC and EC groups, as indicated by the magnitude of parameter A (amplitude) from curve fitting. (D) Rats in the IC and SC groups had higher responses to the inactive hole at the beginning of each session (baseline) than rats in the EC group, as indicated by the magnitude of parameter A from curve fitting. (E) & (F) Rats in the IC and SC groups habituated at a slower rate for the active & inactive holes respectively than rats in the EC group, indicated by parameter τ (decay time constant) from curve fitting. Data are expressed as Mean±SEM. *: p<0.05; %: p<0.01; #: p<0.001, post hoc Tukey test. % and the p-value above the SC bars in (C) & (E): IC vs. SC groups, and all the other symbols: IC vs. EC groups.

The results from the pre-exposure phase (Fig 2C & 2D, left panel) showed a main effect of group, F2,20=88.94, p<0.001, and a main effect of session, F4,140=11.60, p<0.001 (3-way mixed ANOVA of group, session, active/inactive holes, with litter as a nested variable, litter effect: F13,20=2.40, p<0.05). There was no difference between the active and inactive holes. The AUC measure was the lowest in the EC group (IC vs. EC: p<0.001, post hoc Tukey test; SC vs. EC, p<0.001), and there was no group difference in AUC between the IC and SC rats.

During the light-onset phase (Fig 2C & 2D, right panel), a 3-way mixed ANOVA revealed a group X hole X session interaction effect, F20,124=2.49, p<0.01 (litter was included as a nested variable, liter effect: F13,20=4.63, p<0.01). In addition, the AUC measure was the lowest in the EC group for both active (IC vs. EC: p<0.001, post hoc Tukey test; SC vs. EC, p<0.001) and inactive holes (IC vs. EC: p<0.001; SC vs. EC, p<0.001). There was no difference in AUC between the IC and SC groups.

Exponential curve fitting (Fig. 3A & 3B) was also used to quantify habituation (illustrated in Fig 2A & 2B), and parameters A (amplitude) and τ (time constant) were compared between groups. Significant group differences in A were detected for both the active, F2,20=35.57, p<0.001 (Fig. 3C; one-way ANOVA with litter as a nested variable, litter effect: non-significant) and inactive holes, F2,20=37.71, p<0.001 (Fig. 3D; one-way ANOVA with litter as a nested variable, litter effect: non-significant). The EC group had the lowest A, compared with the IC and SC groups, for either the active hole (IC vs. EC: p<0.001, post hoc Tukey test; SC vs. EC: p<0.001) or the inactive hole (IC vs. EC: p<0.001; SC vs. EC: p<0.001). There was also a difference between the IC and SC groups for the active hole (p<0.01).

Group differences were also revealed in the time constant τ for both the active, F2,20=12.15, p<0.001 (Fig. 3E; one-way ANOVA with litter as a nested variable, litter effect: non-significant) and inactive holes, F2,20=20.44, p<0.001 (Fig. 3F; one-way ANOVA with litter as a nested variable, litter effect: F13,20=3.36, p<0.01). The EC group had the lowest τ for both holes (for the active hole, IC vs. EC: p<0.05, post hoc Tukey test, SC vs. EC: p<0.001; for the inactive hole, IC vs. EC: p<0.001, SC vs. EC: p<0.001). There was a trend of difference in τ between the IC and SC groups for the active hole (p=0.06). Taken together, these results indicated that IC and SC rats had slower habituation of reinforcer effectiveness of the sensory stimuli, which is consistent with the AUC results.

We also observed significant correlation between time constant τ and AUC (averages across sessions 13–20) for either the active (r=0.88, p<0.001) or the inactive hole (r=0.83, p<0.001), indicative of satisfactory reliability of these two different measures.

3.3. The within-session decline in response to light-onset was due to habituation of reinforcer effectiveness

Dishabituation was tested by presenting an external noise. The total responses during sound (noise) presentation (6 min), normalized to the baseline, were compared with the same period during the previous two sessions without the noise. The results showed a significant group X hole X noise interaction, F5,31=2.70, p<0.05 (Fig. 4; 3-way mixed ANOVA of group, active/inactive hole, without noise/noise, with litter as a nested variable, litter effect: non-significant). Rats in the IC and SC groups increased responding to the active hole during noise presentation (IC: p<0.001, post hoc Tukey test; SC: p<0.05). The IC rats also increased responding to the inactive hole (p<0.05), and there was a trend of enhanced responses to the inactive hole in the SC rats (p=0.07) during noise presentation. In contrast, the noise presentation did not lead to a significant surge in responding to either active or inactive hole in the EC rats, although visual inspection of Fig. 4E reveals an increase in response to the active hole in the presence of the noise. The results showed a typical dishabituation pattern of responses, and supported that within-session decline in responses was due to habituation of reinforcer effectiveness, not sensory adaptation/fatigue or motor fatigue.

Fig 4.

Fig 4

The dishabituation test provides evidence that within-session decreases in responding were due to habituation, not sensory adaptation or motor fatigue. Data are expressed as a % of the first epoch of the baseline session. (A) & (C) A loud warbling sound (noise) presentation during 31st-36th min induced dishabituation, indicated by increased responses to the active hole, in rats reared in the impoverished (IC) and standard (SC) conditions respectively. (B) The noise presentation induced dishabituation, indicated by increased responses to the inactive hole in the IC rats. (D) There was a trend of increase in response to the inactive hole in the SC rats, in the presence of the noise. (E) & (F) The noise presentation induced no significant increase in response to the active (E) or the inactive hole (F) in the EC rats. Data are expressed as Mean±SEM. *: p<0.05; #: p<0.001, post hoc Tukey test: baseline vs. noise presentation.

4. Discussion

4.1. Summary

The results from the present study clearly demonstrate that light onset is a sensory reinforcer, which is consistent with previous studies [49, 50], including those from our own laboratories [46, 51]. The reinforcer effectiveness of light onset is indicated by the increase in the proportion of active responding during the light-onset phase. This index clearly shows that light onset is a reinforcer to all groups of animals and there are no group differences. We have also found that the overall responding to light onset in a given session is greater in IC and SC rats, compared to that in EC rats. Furthermore, the IC and SC rats also respond more during the pre-exposure phase. This is consistent with the hypothesis that IC and SC rats habituate more slowly to the unprogrammed consequences of snout poking as well as to the contingent light onset, and suggests that the rearing condition influences habituation to all sensory reinforcers (not just light onset) in a general way.

We have observed that IC and SC rats habituate more slowly than EC rats. This conclusion is drawn from both habituation measures: the AUC and time constant from curve fitting. Because of the fluctuation in the data of an animal from one single session, it is difficult to quantify habituation by using the slope of the response curve. Therefore, we applied the AUC approach to characterize the rapidity of response decline in each rat. Area under the curve is actually a more robust method than slope to measure the decline in responses/habituation, because AUC is computed by using percentage scores. The use of ratio/percentage scores eliminates the effects of differences in the rate of responding [52]. We also used time constant from curve fitting to measure habituation. Similar to the results obtained from the AUC measurement, the time constant is greater in the IC and SC rats than in the EC rats, indicating slower decline of responding. These results consistently support our hypothesis that less complex rearing environments lead to slower habituation. We also found that AUC and time constant were highly correlated. Therefore, we feel that either method is sufficient to measure within-session habituation. An additional advantage of AUC is that it can be calculated for individual test sessions, while the time constant analysis requires averaging data from a few sessions for better curve fitting.

An interesting finding is that the between-group differences of habituation is consistent for both the pre-exposure and the light-onset phases. Also, rats within a specific group show similar within-session habituation patterns, measured by AUC, in responding to the active and inactive holes. This consistency is not influenced by significantly increased responding in the light-onset phase, compared to the pre-exposure phase. It appears that nose-poking itself generates unprogrammed sensory reinforcers. This interpretation is consistent with our hypothesis that repetitive behavior is maintained by the sensory reinforcers it produces (e.g., rocking).

We perform a dishabituation challenge to determine if the within-session decrease in responding is due to the habituation process. We present a loud/novel tone in the middle of the test session. This causes an increase in active and inactive responding in both IC and SC rats, but not in EC rats. This observation along with rather stable between-session recovery in responding depicted in Fig. 2A & 2B strongly support that the within-session decline in responses is indeed caused by the habituation process, instead of sensory adaptation or motor fatigue [24]. The reason for a lack of increased responding to the loud noise in EC rats is not clear. We speculate that the presentation of a loud sound might have constituted a stressor. It is well documented that environmental enrichment facilitates stress coping [37, 5355]. As such, EC rats are possibly not as stressed out as IC and SC rats by the loud noise in the dishabituation test, and therefore do not show obvious dishabituation.

In previous studies, we have described the importance of the pre-exposure phase in conducting light reinforcement experiments. When animals are allowed to habituate to the novel testing apparatus during the pre-exposure phase, they respond more to the light onset [46]. We suggest that pre-exposure phase allows the rats to habituate to the environmental stimuli in the testing apparatus before the response-contingent light onset is introduced. This process ensures that the light onset is a novel and effective sensory reinforcer, the effect of which can be measured without the interference of other novel sensory reinforcers during testing. The addition of the pre-exposure phase also reveals that within-session habituation pattern is consistent across the pre-exposure and light-onset phases. One possible confound of using the pre-exposure phase is that handling and the operant procedure during the 10-day pre-exposure phase could serve as “enrichment” on IC rats, countering the impoverishment effect. However, we do believe that this effect is limited, because the session time and the duration of the pre-exposure phase are short, in comparison to weeks of impoverished rearing. Future studies adding an extra group of animals without the pre-exposure phase will help understand the possible “enrichment” effect on IC rats, contributed by the pre-exposure phase.

It is worth noting that IC and SC rats have similar low habituation rates compared to the EC rats. This observation suggests that the environment of SC rats is so simple, barren, and restrictive that it impairs brain development. In support of this observation, others have reported that the behavioral phenotypes such as locomotor level, anxiety, and addictive behaviors are similar in IC and SC rats [5658]. These results indicate that the standard housing condition with 2–3 rats in a cage with bedding, food and water ad lib – so-called “social environment,” should be reconsidered as a proper control rearing condition for behavioral experiments. Similar concerns have been expressed by other investigators [5961].

4.2. Repetitive behaviors and impaired habituation

The findings of this study support the hypothesis that rearing animals in simple/impoverished environments produces increased repetitive behavior. Similar observations have been reported in animal studies by others, utilizing non-operant procedures [21, 62]. The operant light reinforcement paradigm described in this paper has several advantages over animal models of other repetitive behaviors that use general activity or observational measures. Operant responding for a light reinforcer measures the frequency of a topographically well-defined behavior that produces a precisely defined stimulus. In addition, the presentation of the response-contingent sensory stimulus is controlled by the experimenter. In contrast, it is difficult to precisely identify stimuli that proceed, accompany, or follow the occurrence of repetitive behaviors when observational and/or general activity procedures are used. Furthermore, these procedures do not allow for control of the frequency of response-contingent stimuli. On the contrary, experimental control provided by the light reinforcement procedure offers a way to more directly test the perceptual reinforcement hypothesis of repetitive behaviors in animals [3, 63].

The hypothesis that repetitive behaviors associated with certain developmental disorders may be due to impaired habituation of the reinforcer effectiveness of sensory stimuli is consistent with previous studies showing that rearing in a simple/impoverished environment impairs habituation of locomotor activity in a novel environment, which is maintained by sensory reinforcers in the environment [57, 64, 65], and habituation of operant responding using light onset as the reinforcing stimulus [6668].

It is worth noting that there are different types of repetitive behaviors. The results generated from the present study should help better understand repetitive behaviors maintained by sensory reinforcement, such as repetitive behaviors reported in individuals with ASD and SMD. These repetitive behaviors are often associated with increased sensitivity to sensory stimuli [2528]. Other types of repetitive behaviors are commonly observed in patients with obsessive-compulsive disorder and tic disorders [2], which are topographically different from the simpler forms of repetitive behaviors observed in ASD and SMD [69, 70].

4.3. Possible neural mechanism

At the present time, the neural mechanisms underlying habituation of the reinforcer effectiveness of sensory stimuli are not well understood. Existing evidence indicates that activity of midbrain dopamine (DA) system is likely to play a role in regulating repetitive, stereotypic behaviors. Enhancing DA release by psychostimulants increases repetitive behavior [1, 71]. We have shown that psychostimulants that augment DA transmission reduces habituation to sensory reinforcers [23, 46, 51, 72]. It has also been shown that in monkeys, the reinforcing properties of novel light stimuli are mediated by the phasic activity of DA neurons [73]. The phasic firing decreases as the animal habituates to the stimuli or novel environment [74, 75]. These lines of evidence suggest that midbrain DA neurons could play a crucial role in the habituation process.

A recent study shows that the medial prefrontal cortex (mPFC) to midbrain DA circuitry is important in controlling habituation to sensory stimuli [76, 77]. Specifically, Lesions of the mPFC DA terminals disrupt habituation on the cellular level, exhibited by prolonged DA release in the nucleus accumbens shell, in response to taste stimuli. An earlier study shows that lesions to the mPFC inhibit normal habituation of locomotor activity [78], which is thought to be mediated by DA tone [79]. It is also observed that young autistic male subjects have increased number of neurons in the prefrontal cortex [80]. Therefore, we can speculate that the abnormal mPFC to midbrain DA circuitry could contribute to impaired habituation to sensory stimuli, when rats are reared in impoverished environments. Future study focusing on characterizing this circuitry is necessary.

4.4. Environmental complexity

There is a large literature showing that the brains of rats reared in simple/impoverished environments are underdeveloped [81], while early intervention, such as postnatal handling and environmental enrichment, can ameliorate the impairment [42, 45, 82, 83]. Because the development of forebrain inputs to midbrain DA neurons is protracted, which can last the entire adolescence and early adulthood [84], these inputs could be readily shaped by environmental factors during postnatal development, considering the high plasticity of the prefrontal cortex [85, 86].

Postnatal handling enhances maternal behaviors [8789], and consequently provides intensive tactile stimulation during an early sensitive developmental period. Additionally, enriched environment after weaning provides complex physical and social stimuli. Applying postnatal handling and environmental enrichment consecutively has been proven to produce additive beneficial effects [4244]. Therefore, using the combined approach may facilitate the development of the mPFC to midbrain DA neuronal circuitry, leading to efficient habituation to sensory reinforcers. Indeed, it has been well documented that an increase in environmental complexity induces multiple anatomical (increased neuron size, dendritic branches, and dendritic spine density; enhanced gliogenesis and synaptogenesis; etc.) and neurochemical (e.g., increased expression of growth factors, such as nerve growth factor and brain-derived neurotrophic factor) alterations in cortical areas [9098]. These events might work in concert to promote the maturation of the essential forebrain to midbrain DA innervation.

Repetitive behaviors caused by developmental disorders do not appear to be treatable pharmacologically. Observations from studies using behavioral therapy show that when one repetitive behavior is ameliorated by eliminating/substituting the corresponding sensory consequences, the results may be just temporary, because patients could start engaging in new repetitive behaviors [1]. Therefore, there is limited efficacy of applying these behavioral therapies. The data from the present study suggest that providing a more complex, enriched environment during early development might be an effective way to decrease reinforcer effectiveness of sensory stimuli, enhance habituation, and thus reduce repetitive behaviors.

Highlights.

  • Rats reared in less complex environments habituate slower to sensory reinforcers.

  • Impoverished rearing provides an animal model of repetitive behaviors.

  • Impaired habituation underlies repetitive behaviors in developmental disorders.

  • Area under the curve can be used to quantify habituation.

  • A dishabituation test rules out other explanations for the habituation process.

Acknowledgments

The work was supported by NIH grants AA12435 (RS), AA019482 (RS), DA10588 (JR), and DA026600 (JR). The authors thank Millicent Nwankwo, Marita Paredez, Ying-Ling Shen, and Philip Slepian for their aid in breeding animals, conducting experiments, and collecting data.

Footnotes

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