Search

In rats, eating obesogenic diets increase calcium-permeable AMPA receptor (CP-AMPAR) transmission in the nucleus accumbens (NAc) core, and enhances food-motivated behavior. Interestingly these diet-induced alterations in NAc transmission are pronounced in obesity-prone (OP) rats and absent in obesity-resistant (OR) populations. However, effects of diet manipulation on food motivation, and the mechanisms underlying NAc plasticity in OPs is unknown. Using male selectively-bred OP and OR rats, we assessed food-motivated behavior following ad lib access to chow (CH), junk-food (JF), or 10d of JF followed by a return to chow diet (JF-Dep). Behavioral tests included conditioned reinforcement, instrumental responding, and free consumption. Additionally, optogenetic, chemogenetic, and pharmacological approaches were used to examine NAc CP-AMPAR recruitment following diet manipulation and ex vivo treatment of brain slices. Motivation for food was greater in OP than OR rats, as expected. However, JF-Dep only produced enhancements in food-seeking in OP groups, while continuous JF access reduced food-seeking in both OPs and ORs. Reducing excitatory transmission in the NAc was sufficient to recruit CP-AMPARs to synapses in OPs, but not ORs. In OPs, JF-induced increases in CP-AMPARs occurred in mPFC-, but not BLA-to-NAc inputs. Diet differentially affects behavioral and neural plasticity in obesity susceptible populations. We also identify conditions for acute recruitment of NAc CP-AMPARs; these results suggest that synaptic scaling mechanisms contribute to NAc CP-AMPAR recruitment. Overall, this work improves our understanding of how sugary, fatty food consumption interacts with obesity susceptibility to influence food-motivated behavior. It also extends our fundamental understanding of NAc CP-AMPAR recruitment; this has important implications for motivation in the context of obesity as well as drug addiction.

Quantifying animal behavior is important for many branches of biological research. Current computational tools for behavioral quantification typically rely on a few pre-defined, simplified features to identify a behavior. However, such an approach restricts the information used and the tool’s applicability to a limited range of behavior types or species. Here we report a new tool, LabGym, for quantifying animal behaviors without such limitations. Combining a novel approach for effective evaluation of animal motion with customizable convolutional recurrent networks for capturing spatiotemporal details, LabGym provides holistic behavioral assessment and accurately identify user-defined animal behaviors without restrictions on behavior types or animal species. It then provides quantitative measurements of each behavior, which quantify the behavior intensity and the body kinematics during the behavior. LabGym requires neither any intermediate step for processing features that causes information loss nor programming knowledge from users for post-hoc analysis. It tracks multiple animals simultaneously in various experimental settings for high-throughput and versatile analysis. It also provides users a way to generate visualizable behavioral datasets that are valuable resources for the research community. We demonstrate its efficacy in capturing subtle behavioral changes in animals ranging from soft-bodied invertebrates to mammals.

The incorporation of microeconomics concepts into studies using preclinincal self-administration procedures has provided critical insights into the factors that influence consumption of a wide range of food and drug reinforcers. In particular, the fitting of demand curves to consumption data provides a powerful analytic tool for computing objective metrics of behavior that can be compared across a wide range of reward types and experimental settings. The results of these analyses depend crucially on the mathematical form used to fit the data. The most common choice is an exponential form proposed by Hursh and Silberberg, which is widely used and has provided fundamental insights into relationships between cost and consumption, but it also has some disadvantages. In this paper we first briefly review the use of demand curves to quantify the motivating effects of food and drugs, then we describe the current methodology and highlight some potential issues that arise in its application. To address these issues, we propose a new mathematical framework for the analysis of consumption data, including a new functional form for the demand curve. We show that this proposed form gives good fits to data on a range of reinforcers across different animals and different experimental protocols, while allowing for straightforward calculation of key metrics of demand, including preferred consumption level, maximum response, price at maximum response, and price elasticity of demand. We provide software implementing our entire analysis pipeline, including data fits, data visualization, and the calculation of demand metrics.

BACKGROUND: Pavlovian stimuli can influence instrumental behaviors via phenomena such as Pavlovian-to-instrumental transfer (PIT). PIT arises via dissociable processes as Sensory-Specific-PIT (SS-PIT) and General-PIT. The basolateral amygdala (BLA) mediates SS-PIT, but not General-PIT. However, the specific BLA neuronal populations involved are unknown. AIMS: To determine the contribution of glutamatergic BLA neurons to the expression of SS-PIT and to the recall of sensory-specific properties of stimulus-outcome associations. METHODS: BLA neurons were transduced with virus containing either GFP or hM4Di, driven by the CamKII promoter. Rats were then tested for SS- and General-PIT and subsequently for expression of Pavlovian outcome devaluation effects and conditioned taste aversion following injections of Vehicle or Clozapine-n-oxide (CNO, the hM4Di-agonist). RESULTS: CNO selectively blocked SS-PIT in the hM4Di-expressing group, but not controls, without altering expression of Pavlovian outcome devaluation or sensory-specific taste aversion in either group. Unexpectedly, CNO disrupted General-PIT in both groups. CONCLUSIONS: CamKII BLA neurons mediate the expression of SS-PIT by enabling Pavlovian stimuli to trigger recall of the correct action-outcome associations rather than by mediating recall of the sensory-specific properties of the stimulus-outcome association. Separately our data demonstrate that CNO alone is sufficient to disrupt affective, but not sensory-specific processes, an effect that was not due to generalized motor disruption. This nonspecific effect on General PIT may be related to CNO induced shifts in internal state. Together these data identify BLA CamKII neurons as critical for the expression of SS-PIT, and reveal important considerations for using CNO to study general affective motivation.

The nucleus accumbens (NAc) plays critical roles in motivated behaviors, including food-seeking and feeding. Differences in NAc function contribute to over-eating that drives obesity, but the underlying mechanisms are poorly understood. In addition, there is a fair degree of variation in individual susceptibility vs. resistance to obesity that is due in part to differences in NAc function. For example, using selectively bred obesity-prone and obesity-resistant rats, we have found that excitability of medium spiny neurons within the NAc core is enhanced in obesity-prone vs. resistant populations, prior to any diet manipulation. However, it is unknown whether consumption of sugary, fatty junk-food alters MSN excitability. Here, whole-cell patch clamp recordings were conducted to examine MSN intrinsic excitability in adult male obesity-prone and obesity-resistant rats with and without exposure to a sugary, fatty junk-food diet. We replicated our initial finding that basal excitability is enhanced in obesity-prone vs. obesity-resistant rats and determined that this is due to a lower IA in prone vs. resistant groups. In addition, the junk-food diet had opposite effects on excitability in obesity-prone vs. obesity-resistant rats. Specifically, junk-food enhanced excitability in MSNs of obesity-resistant rats; this was mediated by a reduction in IA. In contrast, junk-food reduced excitability in MSNs from obesity-prone rats; this was mediated by an increase in IKIR. Thus, individual differences in obesity-susceptibility influence both basal excitability and how MSN excitability adapts to junk-food consumption.

Continually rising global obesity rates present a major challenge to human health. The contribution of Pavlovian motivational processes to overeating and obesity has become increasingly apparent. In humans, brain and behavioral reactivity to food-related stimuli positively correlates with subsequent weight gain. In concordance with this, selectively bred obesity-prone rats show stronger single-outcome Pavlovian-to-instrumental transfer (SO PIT) than obesity-resistant rats, providing support for the hypothesis that enhanced Pavlovian motivation is a pre-existing phenotype of obesity-susceptibility. However, whether obesity-susceptibility in outbred rats is associated with similar enhancements in PIT was unknown. Moreover, given that SO PIT does not distinguish between sensory specific and general affective motivational processes, it was unclear which of these was linked to obesity-susceptibility. Thus, here we determined whether obesity-susceptibility is associated with enhanced Sensory Specific (SS) PIT versus General PIT using both outbred and selectively bred populations. Rats were trained with two action-outcome and three stimulus-outcome associations; two of the Pavlovian and instrumental associations shared a common outcome. During PIT testing, the influence of the Pavlovian stimuli on the two instrumental responses were measured simultaneously. In outbred rats, expression of General PIT was positively correlated with subsequently determined obesity-susceptibility. In selectively bred rats, General PIT was stronger in obesity-prone versus obesity-resistant rats. Jointly, these data show that enhanced affective Pavlovian motivation is tightly linked to obesity vulnerability, supporting a role for phenotypic differences in incentive motivation in vulnerability to obesity. This has important implications for obesity prevention and for the specific neurocircuitry underlying enhanced food-seeking in vulnerable populations.

Insulin influences activity in brain centers that mediate reward and motivation in humans. However, nothing is known about how insulin influences excitatory transmission in regions like the nucleus accumbens (NAc), which governs motivational processes in the adult brain. Further, insulin dysregulation that accompanies obesity is linked to cognitive decline, depression, anxiety, and aberrant motivation that also rely on NAc excitatory transmission. Using a combination of whole-cell patch clamp and biochemical approaches we determined how insulin affects NAc glutamatergic transmission. We show that insulin receptor activation increases presynaptic glutamate release via a previously unidentified form of opioid receptor-mediated disinhibition. In contrast, activation of IGF receptors by insulin decreases presynaptic glutamate release in adult male rats. Furthermore, obesity results in a loss of insulin receptor-mediated increases and a reduction in NAc insulin receptor surface expression, while preserving reductions in transmission mediated by IGRFs. These results provide the first insights into how insulin influences excitatory transmission in the adult brain, they provide foundational information about opioid-mediated regulation of NAc glutamatergic transmission, and have broad implications for the regulation of motivation and reward related processes by peripheral hormones.