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Doucette, W. T.

Publications and source records attributed to Doucette, W. T..

3 recordsLinked to original sources

Chronic Chemogenetic Manipulation of Ventral Pallidum Targeted Neurons in Rats Fed an Obesogenic Diet.

Current treatments for obesity are unable to reliably reduce weight over time and alternative treatments need to address this challenge. New interventions that target the nervous system could manipulate brain networks underlying reward, metabolic rate and behavior. Here, the ventral pallidum was evaluated as a target of manipulation due to its established role in the networks underlying motivation, pleasure and behavioral output. Chronic inhibitory or excitatory chemogenetic activation was used to modulate the activity of ventral pallidum (VP) targeted neurons in rats on an obesogenic diet. We hypothesized that inhibition of VP activity would decrease the salience of the rats high-sugar, high-fat diet and lead to reduced food consumption and weight gain over time. Paradoxically, measurements of weight, water and food consumption revealed significantly increased weight gain in both groups receiving VP targeted manipulation that was not readily explained by food or water consumption. We theorize that the complex reciprocal feedback between ventral striatal structures (e.g., VP) and metabolic centers of the hypothalamus and brainstem, demonstrated by prior research, likely underpin our findings. This study suggests that the treatment of appetitive disorders (e.g., obesity) with chronic neuromodulation-based interventions could be burdened by the delayed onset of outcomes that are difficult to predict from related prior studies that used acute interventions.

neuroscience↗

Sex differences in the ability of corticostriatal oscillations to predict rodent alcohol consumption

BackgroundAlthough male and female rats differ in their patterns of alcohol use, little is known regarding the neural circuit activity that underlies these differences in behavior. The current study used a machine learning approach to characterize sex differences in local field potential (LFP) oscillations that may relate to sex differences in alcohol drinking behavior.\n\nMethodsLFP oscillations were recorded from the nucleus accumbens shell and the rodent medial prefrontal cortex of adult male and female Sprague-Dawley rats. Recordings occurred before rats were exposed to alcohol (n=10/sex X 2 recordings/rat) and during sessions of limited access to alcohol (n=5/sex X 5 recordings/rat). Oscillations were also recorded from each female rat in each phase of estrous prior to alcohol exposure. Using machine-learning, we built predictive models to classify rats based on: 1) biological sex; 2) phase of estrous; and 3) alcohol intake levels. We evaluated model performance from real data by comparing it to the performance of models built and tested on permutations of the data.\n\nResultsOur data demonstrate that corticostriatal oscillations were able to predict alcohol intake levels in males (p<0.01), but not in females (p=0.45). The accuracies of models predicting biological sex and phase of estrous were related to fluctuations observed in alcohol drinking levels; females in diestrus drank more alcohol than males (p=0.052), and the male vs. diestrus female model had the highest accuracy (71.01%) compared to chance estimates.\n\nConversely, females in estrus drank similar amounts of alcohol to males (p=0.702), and the male vs. estrus female model had the lowest accuracy (56.14%) compared to chance estimates.\n\nConclusionsThe current data demonstrate that oscillations recorded from corticostriatal circuits contain significant information regarding alcohol drinking in males, but not alcohol drinking in females. Future work will focus on identifying where to record LFP oscillations in order to predict alcohol drinking in females, which may help elucidate sex-specific neural targets for future therapeutic development.

neuroscience↗

Identifying neural predictors of response to cortical or striatal deep brain stimulation in a rodent model of alcohol drinking: Towards developing individualized therapies for alcohol use disorders

Individuals differ in their vulnerability to develop alcohol dependence that are determined by innate and environmental factors. The corticostriatal circuit is heavily involved in the development of alcohol dependence and may contain neural information regarding vulnerability to drink excessively. In the current experiment, we hypothesized that we could characterize high and low alcohol-drinking rats (HD and LD, respectively) based on corticostriatal oscillations, and that these subgroups would differentially respond to corticostriatal brain stimulation. Rats were trained to drink 10% alcohol in a limited access paradigm. In separate sessions, local field potentials (LFPs) were recorded from the nucleus accumbens shell (NAcSh) and medial prefrontal cortex (mPFC) of male Sprague-Dawley rats (n=13). Based on training alcohol consumption levels, we classified rats using a median split as HD or LD. Then, using machine-learning, we built predictive models to classify rats as HD or LD by corticostriatal LFPs and compared the model performance from real data to the performance of models built on data permutations. Additionally, we explored the impact of NAcSh or mPFC stimulation on alcohol consumption in HD vs. LD. Corticostriatal LFPs were able predict HD vs. LD group classification with greater accuracy than expected by chance (>80% accuracy). Additionally, NAcSh stimulation significantly reduced alcohol consumption in HD, but not LD (p<0.05), while mPFC stimulation did not alter drinking behavior in either HD or LD (p>0.05). These data collectively show that the corticostriatal circuit is differentially involved in regulating alcohol intake in HD vs. LD rats, and suggests that corticostriatal activity may have the potential to predict a vulnerability to develop alcohol dependence in a clinical population.

neuroscience↗