Back

Individual variations in reward-seeking adaptability emerge among isogenic mice living in a micro-society and predict their response to nicotine

Fayad, S. L.; Reynolds, L. M.; Torquet, N.; Tolu, S.; Mondoloni, S.; Nguyen, C.; Justo, R.; Didienne, S.; Debray, N.; Viollet, C.; Raynaud, L.; Layadi, Y.; Hannesse, B.; Ana Marta, C.; Topilko, T.; Renier, N.; Mourot, A.; Marti, F.; Faure, P.

2023-11-01 neuroscience
10.1101/2023.10.28.564522 bioRxiv
Show abstract

Individual animals differ in their traits and preferences, which shape their social interactions, survival, and susceptibility to disease, including addiction. Nicotine use is highly heterogenous, and has been linked to the expression of personality traits. Although these relationships are well-documented, we have limited understanding of the neurophysiological mechanisms that give rise to distinct personalities and their connection to nicotine susceptibility. To address this question, we conducted a study using a semi-natural and social environment called "Souris-City" to observe the long-term behavior of individual mice. Souris-City provided both a communal living area and a separate test area where mice engaged in a reward-seeking task isolated from their peers. Mice developed individualistic reward-seeking strategies when choosing between water and sucrose in the test compartment, which, in turn, predicted how they adapted to the introduction of nicotine as a reinforcer. Moreover, mouse profiles in isolation also extended to correlate with their behavior within the social environment, linking decision-making strategies to the expression of behavioral traits. Neurophysiological markers of adaptability within the dopamine system were apparent upon nicotine challenge, and were associated with specific profiles. Our findings suggest that environmental adaptations influence behavioral traits and sensitivity to nicotine by acting on dopaminergic reactivity in the face of nicotine exposure, potentially contributing to addiction susceptibility. These results further emphasize the importance of understanding inter-individual variability in behavior to gain insight into the mechanisms of decision making and addiction.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.