Biology subjects

Didienne, S.

Publications and source records attributed to Didienne, S..

8 recordsLinked to original sources

bioRxiv2025

Dopaminergic mechanisms of dynamical social specialization in mouse microsocieties

Social organization and division of labor are fundamental to animal societies, but how do these structures emerge from individual interactions, and what role does neuromodulation play in shaping them? Using behavioral tracking in a semi-natural environment, neural recordings, and computational models integrating reinforcement and social learning, we show that groups of three isogenic mice spontaneously develop specialized roles while solving a foraging task requiring individual decisions under social constraints. Moreover, these roles are shaped by dopaminergic activity in the ventral tegmental area. Strikingly, despite minor sex-differences in behavior when mice were tested alone, male triads formed stable worker-scrounger relationships driven by competition, whereas female triads adopted uniform, cooperative strategies. Model analysis revealed how intra- and inter-sex parameter differences in resource exploitation, combined with contingent and dynamic social interactions, drive behavioral specialization and labor division. Most notably, it highlighted how contingency, amplified by competition, magnifies individual differences and shapes social profiles. The plastic, adaptive nature of social organization within triads was confirmed by manipulating dopaminergic cell activity, which reshaped social roles and altered group structure. Our findings support a feedback loop where social context shapes neural states, which in turn reinforce behavioral specialization and stabilize social structures.

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bioRxiv2024

Dopamine reveals adaptive learning of actions representation

Flexible decision-making requires not only updating values, but redefining which features constitute an action in a given context. We recorded nucleus accumbens (NAc) dopamine release while mice navigated a three-target intracranial self-stimulation foraging task in which outcomes were evaluated under three distinct reward delivery rules. Despite a constant motor repertoire, dopamine transients reorganized across contingencies and generalized linear models revealed context-dependent dopamine signal reflecting action direction, recent outcome-history, or target identity. Reinforcement-learning model comparison showed that these signatures are best explained by distinct reward prediction errors (RPEs) defined over different state-action representations, rather than a single fixed model-free scheme. A single deep reinforcement-learning agent trained by temporal-difference learning, recapitulated both the rule-specific policies and the corresponding dopamine signature. These results identify NAc dopamine as a dynamic readout of representation learning, remapping prediction errors onto the task features that define successful action as contingencies change.

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bioRxiv2023

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

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.

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bioRxiv2022

Self-generation of goal-directed choices in a distributed dopaminergic andprefrontal circuit

Goal-directed choices that are not triggered by external cues arise from internal representations of the outcomes. The use of a stimulus to specify when to act, which option to take, or whether to explore, has led to consider the reward circuit as a feedforward set of modules carrying independent computations. Here, we develop an uncued task in which mice self-determine the initiation, direction, vigor and pace of their actions based on their knowledge of the outcomes. Using electrophysiological recordings, pharmacology and optogenetics, we identify a sequence of oscillations and firing in the ventral tegmental area (VTA), orbitofrontal (OFC) and prefrontal cortices (PFC) that co-encodes and co-determines self-initiation and choices. This sequence appeared with learning as an unguided realignment of spontaneous dynamics. The interactions between the structures depended on the reward context, in particular regarding the uncertainty associated with the different options. We suggest that self-generated choices arise from a distributed circuit based on an OFC-VTA core setting whether to wait or to initiate actions, while the PFC is specifically engaged by reward uncertainty to participate in both the selection and pace of actions. HighlightsO_LISelf-paced actions arise from contextual reorganization of mesocortical dynamics. C_LIO_LIVTA, PFC and OFC complementarily encode predictions and errors about outcomes. C_LIO_LIDistributed firing-then-oscillations dynamics set the goal, initiation and pace of actions. C_LIO_LIVTA and PFC antagonistically promote and inhibit motivation by reward uncertainty. C_LI

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bioRxiv2021

Chronic nicotine increases midbrain dopamine neuron activity and biases individual strategies towards reduced exploration in a foraging task.

Long-term exposure to nicotine alters brain circuits and induces profound changes in decision-making strategies, affecting behaviors both related and unrelated to drug seeking and consumption. Using an intracranial self-stimulation reward-based foraging task, we investigated the impact of chronic nicotine on the trade-off between exploitation and exploration, and the role of ventral tegmental area (VTA) dopamine (DA) neuron activity in decision-making unrelated to nicotine-seeking. Model-based and archetypal analysis revealed a substantial inter-individual variability in decision-making strategies, with mice passively exposed to chronic nicotine visiting more frequently options associated with higher reward probability and therefore shifting toward a more exploitative profile compared to non-exposed animals. We then mimicked the effect of chronic nicotine on the tonic activity of VTA DA neurons using optogenetics, and found that photo-stimulated mice had a behavioral phenotype very close to that of mice exposed to nicotine, suggesting that the dopaminergic control of the exploration/exploitation balance is altered under nicotine exposure. Our results thus reveal a key role of tonic midbrain DA in the exploration/exploitation trade-off and highlight a potential mechanism by which nicotine affects decision-making.

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bioRxiv2019

Mice adaptively generate choice variability in a deterministic task

Can our choices just be driven by chance? To investigate this question, we designed a deterministic setting in which mice reinforce non-repetitive choice sequences, and modeled it using reinforcement learning. Mice progressively increased their choice variability using a memory-free, pseudo-random selection, rather than by learning complex sequences. Our results demonstrate that a decision-making process can self-generate variability and randomness even when the rules governing reward delivery are not stochastic.

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bioRxiv2018

Acetylcholine-dependent phasic dopamine activity signals exploratory locomotion and choices

Dopamine neurons from the Ventral Tegmental Area (VTA) switch from tonic to phasic burst firing in response to reward-predictive cues and actions. Bursting is influenced by nicotinic acetylcholine receptors (nAChRs), which are not implicated in reinforcement learning, but rather in exploration and uncertainty-seeking. The leading model assigns these functions to tonic dopamine firing. To investigate this paradox, we recorded the activity of VTA dopamine neurons during a spatial decision-making task. When reward was certain, mice adopted a stereotyped behavior, and dopamine neurons signaled reward. When confronted with uncertain rewards or a novel environment, mice exhibited exploration. Modulation of phasic, but not tonic, dopamine activity predicted uncertainty-seeking and locomotor exploration. Deletion of nAChRs disrupted the influence of uncertainty and novelty on dopamine firing and behavior, sparing reward signaling and learning. Hence, nAChR modulation of dopamine neurons can influence cognitive functions on a short timescale, through the modulation of phasic, synchronous bursting.

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bioRxiv2017

Social interactions impact on the dopaminergic system and drive individuality

Individuality is a ubiquitous and well-conserved feature among animal species. The behavioral patterns of individual animals affect their respective role in the ecosystem and their prospects for survival. Even though some of the factors shaping individuality have been identified, the mechanisms underlying individuation are poorly understood and are generally considered to be genetics-based. Here we devised a large environment where mice live continuously, and observed that individuality, measured by both social and individual traits, emerged and settled within the group. Midbrain dopamine neurons underwent neurophysiological adaptations that mirrored this phenotypic divergence in individual behaviors. Strikingly, modifying the social environment resulted in a fast re-adaptation of both the animals personality and its dopaminergic signature. These results indicate that individuality can rapidly evolve upon social challenges, and does not just depend on the genetic or epigenetic initial status of the animal.

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