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International audience; Cerebellar abnormalities have been reported in autism spectrum disorder (ASD). Beyond its role in hallmark features of ASD, the cerebellum and its connectivity with forebrain structures also play a role in navigation. However, the current understanding of navigation abilities in ASD is equivocal, as is the impact of the disorder on the functional anatomy of the cerebellum. In the present study, we investigated the navigation behavior of a population of ASD and typically developing (TD) adults related to their brain anatomy as assessed by structural and functional MRI at rest. We used the Starmaze task, which permits assessing and distinguishing two complex navigation behaviors, one based on allocentric and the other on egocentric learning of a route with multiple decision points. Compared to TD controls, individuals with ASD showed similar exploration, learning, and strategy performance and preference. In addition, there was no difference in the structural or functional anatomy of the cerebellar circuits involved in navigation between the two groups. The findings of our work suggest that navigation abilities, spatio-temporal memory, and their underlying circuits are preserved in individuals with ASD.

The head-direction (HD) system, a key neural circuit for navigation, consists of several anatomical structures containing neurons selective to the animal’s head direction. HD cells exhibit ubiquitous temporal coordination across brain regions, independently of the animal’s behavioral state or sensory inputs. Such temporal coordination mediates a single, stable, and persistent HD signal, which is essential for intact orientation. However, the mechanistic processes behind the temporal organization of HD cells are unknown. By manipulating the cerebellum, we identify pairs of HD cells recorded from two brain structures (anterodorsal thalamus and retrosplenial cortex) that lose their temporal coordination, specifically during the removal of the external sensory inputs. Further, we identify distinct cerebellar mechanisms that participate in the spatial stability of the HD signal depending on sensory signals. We show that while cerebellar protein phosphatase 2B-dependent mechanisms facilitate the anchoring of the HD signal on the external cues, the cerebellar protein kinase C-dependent mechanisms are required for the stability of the HD signal by self-motion cues. These results indicate that the cerebellum contributes to the preservation of a single and stable sense of direction.

How do we translate self-motion into goal-directed actions? Here we investigate the cognitive architecture underlying self-motion processing during exploration and goal-directed behaviour. The task, performed in an environment with limited and ambiguous external landmarks, constrained mice to use self-motion based information for sequence-based navigation. The post-behavioural analysis combined brain network characterization based on c-Fos imaging and graph theory analysis as well as computational modelling of the learning process. The study revealed a widespread network centred around the cerebral cortex and basal ganglia during the exploration phase, while a network dominated by hippocampal and cerebellar activity appeared to sustain sequence-based navigation. The learning process could be modelled by an algorithm combining memory of past actions and model-free reinforcement learning, which parameters pointed toward a central role of hippocampal and cerebellar structures for learning to translate self-motion into a sequence of goal-directed actions.

International audience; Multiple lines of evidence suggest that functionally intact cerebello-hippocampal interactions are required for appropriate spatial processing. However, how the cerebellum anatomically and physiologically engages with the hippocampus to sustain such communication remains unknown. Using rabies virus as a retrograde transneuronal tracer in mice, we reveal that the dorsal hippocampus receives input from topographically restricted and disparate regions of the cerebellum. By simultaneously recording local field potential from both the dorsal hippocampus and anatomically connected cerebellar regions, we additionally suggest that the two structures interact, in a behaviorally dynamic manner, through subregion-specific synchronization of neuronal oscillations in the 6-12 Hz frequency range. Together, these results reveal a novel neural network macro-architecture through which we can understand how a brain region classically associated with motor control, the cerebellum, may influence hippocampal neuronal activity and related functions, such as spatial navigation.

Cerebellar volume abnormalities have been often suggested as a possible endophenotype for autism spectrum disorder (ASD). We aimed at objectifying this possible alteration by performing a systematic meta-analysis of the literature, and an analysis of the Autism Brain Imaging Data Exchange (ABIDE) cohort. Our meta-analysis sought to determine a combined effect size of ASD diagnosis on different measures of the cerebellar anatomy, as well as the effect of possible factors of variability across studies. We then analysed the cerebellar volume of 328 patients and 353 controls from the ABIDE project. The meta-analysis of the literature suggested a weak but significant association between ASD diagnosis and increased cerebellar volume (p=0.049, uncorrected), but the analysis of ABIDE did not show any relationship. The studies in the literature were generally underpowered, however, the number of statistically significant findings was larger than expected. Although we could not provide a conclusive explanation for this excess of significant findings, our analyses would suggest publication bias as a possible reason. Finally, age, sex and IQ were important sources of cerebellar volume variability, however, independent of autism diagnosis.

International audience; To examine the cerebellar contribution to human spatial navigation we used functional magnetic resonance imaging and virtual reality. Our findings show that the sensory-motor requirements of navigation induce activity in cerebellar lobules and cortical areas known to be involved in the motor loop and vestibular processing. By contrast, cognitive aspects of navigation mainly induce activity in a different cerebellar lobule (VIIA Crus I). Our results demonstrate a functional link between cerebellum and hippocampus in humans and identify specific functional circuits linking lobule VIIA Crus I of the cerebellum to medial parietal, medial prefrontal, and hippocampal cortices in nonmotor aspects of navigation. They further suggest that Crus I belongs to 2 nonmotor loops, involved in different strategies: placebased navigation is supported by coherent activity between left cerebellar lobule VIIA Crus I and medial parietal cortex along with right hippocampus activity, while sequence-based navigation is supported by coherent activity between right lobule VIIA Crus I, medial prefrontal cortex, and left hippocampus. These results highlight the prominent role of the human cerebellum in both motor and cognitive aspects of navigation, and specify the cortico-cerebellar circuits by which it acts depending on the requirements of the task.

International audience; The cerebellum has already been shown to participate in the navigation function. We propose here that this structure is involved in maintaining a sense of direction and location during self-motion by monitoring sensory information and interacting with navigation circuits to update the mental representation of space. To better understand the processing performed by the cerebellum in the navigation function, we have reviewed: the anatomical pathways that convey self-motion information to the cerebellum; the computational algorithm(s) thought to be performed by the cerebellum from these multi-source inputs; the cerebellar outputs directed toward navigation circuits and the influence of self-motion information on space-modulated cells receiving cerebellar outputs. This review highlights that the cerebellum is adequately wired to combine the diversity of sensory signals to be monitored during self-motion and fuel the navigation circuits. The direct anatomical projections of the cerebellum toward the head-direction cell system and the parietal cortex make those structures possible relays of the cerebellum influence on the hippocampal spatial map. We describe computational models of the cerebellar function showing that the cerebellum can filter out the components of the sensory signals that are predictable, and provides a novelty output. We finally speculate that this novelty output is taken into account by the navigation structures, which implement an update over time of position and stabilize perception during navigation.

International audience; Spatial navigation calls upon mnemonic capabilities (e.g. remembering the location of a rewarding site) as well as adaptive motor control (e.g. fine tuning of the trajectory according to the ongoing sensory context). To study this complex process by means of behavioral measurements it is necessary to quantify a large set of meaningful parameters on multiple time scales (from milliseconds to several minutes), and to compare them across different paradigms. Moreover, the issue of automating the behavioral analysis is critical to cope with the consequent computational load and the sophistication of the measurements. We developed a general purpose Navigation Analysis Tool (NAT) that provides an integrated architecture consisting of a data management system (implemented in MySQL), a core analysis toolbox (in MATLAB), and a graphical user interface (in JAVA). Its extensive characterization of trajectories over time, from exploratory behavior to goal-oriented navigation with decision points using a wide range of parameters, makes NAT a powerful analysis tool. In particular, NAT supplies a new set of specific measurements assessing performances in multiple intersection mazes and allowing navigation strategies to be discriminated (e.g. in the starmaze). Its user interface enables easy use while its modular organization provides many opportunities of extension and customization. Importantly, the portability of NAT to any type of maze and environment extends its exploitation far beyond the field of spatial navigation.

Episodic memory impairment is a hallmark for early diagnosis of Alzheimer's disease. Most actual tests used to diagnose Alzheimer's disease do not assess the spatiotemporal properties of episodic memory and lead to false-positive or -negative diagnosis. We used a newly developed, nonverbal navigation test for Human, based on the objective experimental testing of a spatiotemporal experience, to differentially Alzheimer's disease at the mild stage (N= 16 patients) from frontotemporal lobar degeneration (N= 11 patients) and normal aging (N= 24 subjects). Comparing navigation parameters and standard neuropsychological tests, temporal order memory appeared to have the highest predictive power for mild Alzheimer's disease diagnosis versus frontotemporal lobar degeneration and normal aging. This test was also nonredundant with classical neuropsychological tests. As a conclusion, our results suggest that temporal order memory tested in a spatial navigation task may provide a selective behavioral marker of Alzheimer's disease.

Spatial representation is an active process that requires complex multimodal integration from a large interacting network of cortical and subcortical structures. We sought to determine the role of cerebellar protein kinase C (PKC)-dependent plasticity in spatial navigation by recording the activity of hippocampal place cells in transgenic L7PKCI mice with selective disruption of PKC-dependent plasticity at parallel fiber-Purkinje cell synapses. Place cell properties were exclusively impaired when L7PKCI mice had to rely on self-motion cues. The behavioral consequence of such a deficit is evidenced here by selectively impaired navigation capabilities during a path integration task. Together, these results suggest that cerebellar PKC-dependent mechanisms are involved in processing self-motion signals essential to the shaping of hippocampal spatial representation.

The hippocampus is crucial for both spatial navigation and episodic memory, suggesting that it provides a common function to both. Here we adapt a spatial paradigm, developed for rodents, for use with functional MRI in humans to show that activation of the right hippocampus predicts the use of an allocentric spatial representation, and activation of the left hippocampus predicts the use of a sequential egocentric representation. Both representations can be identified in hippocampal activity before their effect on behavior at subsequent choice-points. Our results suggest that, rather than providing a single common function, the two hippocampi provide complementary representations for navigation, concerning places on the right and temporal sequences on the left, both of which likely contribute to different aspects of episodic memory.

Flexible spatial behavior requires the ability to orchestrate the interaction of multiple parallel processes. At the sensory level, multimodal inputs must be combined to produce a robust description of the spatiotemporal properties of the environment. At the action-selection level, multiple concurrent navigation policies must be dynamically weighted in order to adopt the strategy that is the most adapted to the complexity of the task. Different neural substrates mediate the processing of spatial information. Elucidating their anatomo-functional interrelations is fundamental to unravel the overall spatial memory function. Here we first address the multisensory integration issue and we review a series of experimental findings (both behavioral and electrophysiological) concerning the neural bases of spatial learning and the way the brain builds unambiguous spatial representations from incoming multisensory streams. Second, we move at the navigation strategy level and present an overview of experimental data that begin to explain the cooperation-competition between the brain areas involved in spatial navigation. Third, we introduce the spatial cognition function from a computational neuroscience and neuro-robotics viewpoint. We provide an example of neuro-computational model that focuses on the importance of combining multisensory percepts to enable a robot to acquire coherent (spatial) memories of its interaction with the environment.

International audience; L7-PKCI transgenic mice, which lack parallel fiber-Purkinje cell long-term depression (LTD), were tested with two different mazes to dissociate the relative importance of declarative and procedural components of spatial navigation. We show that L7-PKCI mice are deficient in acquisition of an adapted goal-oriented behavior, part of the procedural component of the task. This supports the hypothesis that cerebellar LTD may subserve a general sensorimotor adaptation process shared by motor and spatial learning functions.

Spatial navigation required the acquisition of at least two complementary processes: the organization of the spatial representation of the environment (declarative learning) and the acquisition of a motor behaviour adapted to the specific context (procedural learning). The potential role of the cerebellum in spatial navigation is part of the debate concerning its role in cognitive function. Experiments ranging from cerebellar patients to animal models have indicated that cerebellar damage affects the processing of spatial information. The main unresolved issue concern the interpretation of these deficits. Is the cerebellum involved in both declarative and procedural components of navigation? Could all deficits in navigation paradigms be interpreted by a deficit in a motor-dependant process? The purpose of this review is to examine different results coming from anatomical data, experimental paradigms and models in order to give a critical answer to this question.

The implication of the cerebellum in spatial cognition and spatial navigation has been recently highlighted both in humans and mice models by the team of Laure Rondi Reig. Similarly, these studies strongly suggested that the cerebellum interacts with the hippocampus in a functional network. However, to the date we lack information about the anatomical substrate for such interaction as well as the physiological mechanisms underlaying it. This information is fundamental in order to fully understand the role of the cerebellum in these functions and it has been the main focus of my thesis. To that aim, we have employed a combination of technical approaches including anatomical retrograde trans-synaptic tracing with rabies virus and multi-site extracellular electrophysiological recordings in the cerebellum and the hippocampus of behaving mice. We have identified three main cerebellar cortical areas projecting through di- and/or tri-synaptic pathways to the hippocampus: the Crus I, the lobule VI and the paraflocculus. Moreover, we have found dynamic theta coherence between the oscillatory activity recorded in these areas and that from the hippocampus, a mechanism that has been previously associated with functional interaction. Specifically, we have found a significant increase in the theta coherence between the Crus I and the hippocampus when the animals performed a goal directed behaviour. Finally, we have characterised the modulation of the cerebellar activity and the cerebello-hippocampal coherence across the sleep cycle and we have found increased Crus I-hippocampus theta coherence during REM sleep which is in phase with a cerebellar infra-slow (< 1Hz) rhythm.; L’implication du cervelet dans la cognition et navigation spatiale a été récemment remarqué par l’équipe de Rondi Reig chez l’homme et dans modèles murines. Également, ces études suggérèrent fortement que le cervelet interagit avec l’hippocampe dans un réseau fonctionnel. Cependant, à ce jour il nous manque d’information relative sur le substrat anatomique et les mécanismes physiologiques qui permet cette interaction. Cette information est fondamentale pour comprendre le rôle du cervelet dans ces fonctions et il a constitué le sujet de ma thèse. À cette fin, nous avons employé une combinaison de techniques comprenant le traçage anatomique trans-synaptique rétrograde avec le virus de la rage et des enregistrements électrophysiologiques extracellulaires simultanées dans le cervelet et l’hippocampe chez la souri engagé dans plusieurs comportements. Nous avons identifié trois régions dans le cortex cérébelleux qui projet à l’hippocampe par routes di- et tri-synaptiques: Crus I, lobule VI et le paraflocculus. De plus, nous avons trouvé une synchronisation dynamique entre l’activité oscillatoire enregistrée dans ces zones et celle de l’hippocampe dans la band thêta, un mécanisme qui était auparavant associé à une interaction fonctionnelle. Plus précisément, nous avons constaté une augmentation significative de la cohérence Crus I-hippocampe pendant la consécution d’un comportement dirigé vers un but. Enfin, nous avons caractérisé la modulation de l’activité cérébelleuse et de la cohérence cérébello-hippocampique au cours du sommeil et avons trouvé une augmentation de la cohérence Crus I-hippocampe pendant le sommeil paradoxal en phase avec un rythme cérébelleux ultra-lent (< 1Hz).

The implication of the cerebellum in spatial cognition and spatial navigation has been recently highlighted both in humans and mice models by the team of Laure Rondi Reig. Similarly, these studies strongly suggested that the cerebellum interacts with the hippocampus in a functional network. However, to the date we lack information about the anatomical substrate for such interaction as well as the physiological mechanisms underlaying it. This information is fundamental in order to fully understand the role of the cerebellum in these functions and it has been the main focus of my thesis. To that aim, we have employed a combination of technical approaches including anatomical retrograde trans-synaptic tracing with rabies virus and multi-site extracellular electrophysiological recordings in the cerebellum and the hippocampus of behaving mice. We have identified three main cerebellar cortical areas projecting through di- and/or tri-synaptic pathways to the hippocampus: the Crus I, the lobule VI and the paraflocculus. Moreover, we have found dynamic theta coherence between the oscillatory activity recorded in these areas and that from the hippocampus, a mechanism that has been previously associated with functional interaction. Specifically, we have found a significant increase in the theta coherence between the Crus I and the hippocampus when the animals performed a goal directed behaviour. Finally, we have characterised the modulation of the cerebellar activity and the cerebello-hippocampal coherence across the sleep cycle and we have found increased Crus I-hippocampus theta coherence during REM sleep which is in phase with a cerebellar infra-slow (< 1Hz) rhythm., L’implication du cervelet dans la cognition et navigation spatiale a été récemment remarqué par l’équipe de Rondi Reig chez l’homme et dans modèles murines. Également, ces études suggérèrent fortement que le cervelet interagit avec l’hippocampe dans un réseau fonctionnel. Cependant, à ce jour il nous manque d’information relative sur le substrat anatomique et les mécanismes physiologiques qui permet cette interaction. Cette information est fondamentale pour comprendre le rôle du cervelet dans ces fonctions et il a constitué le sujet de ma thèse. À cette fin, nous avons employé une combinaison de techniques comprenant le traçage anatomique trans-synaptique rétrograde avec le virus de la rage et des enregistrements électrophysiologiques extracellulaires simultanées dans le cervelet et l’hippocampe chez la souri engagé dans plusieurs comportements. Nous avons identifié trois régions dans le cortex cérébelleux qui projet à l’hippocampe par routes di- et tri-synaptiques: Crus I, lobule VI et le paraflocculus. De plus, nous avons trouvé une synchronisation dynamique entre l’activité oscillatoire enregistrée dans ces zones et celle de l’hippocampe dans la band thêta, un mécanisme qui était auparavant associé à une interaction fonctionnelle. Plus précisément, nous avons constaté une augmentation significative de la cohérence Crus I-hippocampe pendant la consécution d’un comportement dirigé vers un but. Enfin, nous avons caractérisé la modulation de l’activité cérébelleuse et de la cohérence cérébello-hippocampique au cours du sommeil et avons trouvé une augmentation de la cohérence Crus I-hippocampe pendant le sommeil paradoxal en phase avec un rythme cérébelleux ultra-lent (< 1Hz).

Spatial navigation can be divided into two processes: building a spatial representation from the environment exploration and using this representation to produce an adapted trajectory toward a goal. During the environment exploration, external and self-motion information (i.e. vestibular and proprioceptive) are combined to form the spatial map. It has long been suggested that the cerebellum participates in spatial navigation but its role has often been confined to motor execution. Our team has studied L7-PKCI mice which lack a plasticity mechanism (long term depression (LTD)) at parallel fiber-Purkinje cell synapses in the cerebellar cortex. These works have shown that L7-PKCI mice present a deficit in trajectory optimization as well as in the maintenance of the cognitive map in the hippocampus. Indeed in these mice, the firing properties of hippocampal place cells are affected specifically when mice have to rely on self-motion information, i.e. when exploring the environment in the dark.A these same synapses, another type of plasticity (long term potentiation (LTP)) has been described, and allows (with LTD) the bidirectional modulation of the synaptic efficiency. Bidirectional plasticity is a key element of the ‘adaptive filter’ theoretical models of cerebellar information processing. According to these models, a lack of LTP or LTD should similarly affect bidirectional plasticity and result in comparable deficits. To test this prediction, we investigated the functional consequences of a deficit of LTP at parallel fiber-Purkinje cell synapses using the L7-PP2B mice model, specifically impaired for this plasticity.In spite of a mild motor adaptation deficit, revealed on the rotarod task, spatial learning of L7-PP2B mice was not impaired in the watermaze task. Hippocampal place cell properties of L7-PP2B mice were characterized during exploration of a circular arena, following different experimental manipulations. In contrast to mice lacking cerebellar LTD, place cells properties of L7-PP2B mice were not impaired when mice had to rely on self-motion cues, i.e. in the dark. Surprisingly, L7-PP2B place cells displayed instability in the absence of any proximal cue manipulation in 23 % of the recording sessions. This instability occurred in an unpredictable way in a familiar environment and was characterized each time by a coherent angular rotation of the whole set of recorded place cells. These data suggest that, in the absence of cerebellar LTP, hippocampal spatial representation cannot be reliably anchored to the proximal cue. These results along with those from L7­PKCI mice, indicate that the cerebellum contributes to both hippocampal representation and subsequent navigation abilities and that LTP and LTD are likely to play different roles in these processes., La navigation spatiale peut être subdivisée en deux processus: la construction d’une représentation mentale de l’espace à partir de l’exploration de l’environnement d'une part, et l’utilisation de cette représentation de façon à produire le trajet le plus adapté pour rejoindre le lieu souhaité d'autre part. Lors de l’exploration de l’environnement, des informations externes et des informations de mouvement propre (i.e. vestibulaires et proprioceptives) sont combinées pour former la carte cognitive. Depuis longtemps des études suggèrent que le cervelet participe à la navigation spatiale mais son rôle a souvent été confiné à l’exécution motrice. Notre équipe a étudié des souris mutantes L7-PKCI présentant un déficit de plasticité synaptique de type dépression à long terme (DLT) au niveau des synapses entre fibres parallèles et cellules de Purkinje du cortex cérébelleux. Ces travaux ont montré que les souris présentent à la fois un déficit dans l'optimisation de la trajectoire mais également dans le maintien de la carte cognitive formée dans l'hippocampe. En effet, les propriétés de décharge des cellules de lieu de l'hippocampe sont affectées chez ces souris exclusivement lorsque celles-ci doivent naviguer en se reposant sur les informations provenant de leur mouvement propre, c'est à dire quand elles explorent l'environnement dans le noir. A ces mêmes synapses, une plasticité de type potentialisation à long terme (PLT) a été observée et permet (avec la DLT) la modulation bidirectionelle de l’efficacité synaptique. La plasticité bidirectionnelle est un processus clé dans les modèles théoriques de type « filtre adaptatif » de traitement de l’information par le cervelet. Selon ces modèles, l’absence de PLT ou DLT devrait affecter de façon similaire la plasticité bidirectionnelle et conduire ainsi à des déficits comparables. Pour tester cette hypothèse, nous avons étudié les conséquences fonctionnelles d’un déficit de type PLT au niveau de la même synapse entre fibre parallèle et cellule de Purkinje. Nous avons utilisé la lignée transgénique L7-PP2B, spécifiquement déficitaire pour cette plasticité.Malgré un léger déficit moteur révélé exclusivement sur le rotarod, les capacités de navigation des souris L7-PP2B ne sont pas affectées dans une tâche de navigation en labyrinthe aquatique de type piscine de Morris. Les propriétés des cellules de lieu de l’hippocampe des souris L7-PP2B ont ensuite été caractérisées lors de l’exploration d’une arène circulaire dans différentes conditions environnementales. Contrairement à celles des souris L7-PKCI, les propriétés des cellules de lieux des souris L7-PP2B ne sont pas affectées lorsque les souris ne peuvent utiliser que les informations de mouvement propre pour s’orienter, c'est à dire dans le noir. Par contre, les cellules de lieux des souris L7-PP2B présentent une instabilité en l’absence de toute manipulation d’indice environnemental, dans 23% des sessions d’enregistrement. Cette instabilité, absente chez les souris contrôles, se manifeste de façon imprévisible dans un environnement familier et est caractérisée par une rotation angulaire cohérente de l’ensemble des cellules de lieux enregistrées. Ces données suggèrent qu’en l’absence de PLT cérébelleuse la représentation spatiale de l’hippocampe n’est pas ancrée de façon stable aux indices externes proximaux. Ces résultats, associés à ceux des souris L7-PKCI indiquent que le cervelet contribue de manière complexe à la fois à la représentation spatiale hippocampique et aux capacités de navigation et que DLT et PLT jouent probablement des rôles différents dans ces processus.

Spatial navigation can be divided into two processes: building a spatial representation from the environment exploration and using this representation to produce an adapted trajectory toward a goal. During the environment exploration, external and self-motion information (i.e. vestibular and proprioceptive) are combined to form the spatial map. It has long been suggested that the cerebellum participates in spatial navigation but its role has often been confined to motor execution. Our team has studied L7-PKCI mice which lack a plasticity mechanism (long term depression (LTD)) at parallel fiber-Purkinje cell synapses in the cerebellar cortex. These works have shown that L7-PKCI mice present a deficit in trajectory optimization as well as in the maintenance of the cognitive map in the hippocampus. Indeed in these mice, the firing properties of hippocampal place cells are affected specifically when mice have to rely on self-motion information, i.e. when exploring the environment in the dark.A these same synapses, another type of plasticity (long term potentiation (LTP)) has been described, and allows (with LTD) the bidirectional modulation of the synaptic efficiency. Bidirectional plasticity is a key element of the ‘adaptive filter’ theoretical models of cerebellar information processing. According to these models, a lack of LTP or LTD should similarly affect bidirectional plasticity and result in comparable deficits. To test this prediction, we investigated the functional consequences of a deficit of LTP at parallel fiber-Purkinje cell synapses using the L7-PP2B mice model, specifically impaired for this plasticity.In spite of a mild motor adaptation deficit, revealed on the rotarod task, spatial learning of L7-PP2B mice was not impaired in the watermaze task. Hippocampal place cell properties of L7-PP2B mice were characterized during exploration of a circular arena, following different experimental manipulations. In contrast to mice lacking cerebellar LTD, place cells properties of L7-PP2B mice were not impaired when mice had to rely on self-motion cues, i.e. in the dark. Surprisingly, L7-PP2B place cells displayed instability in the absence of any proximal cue manipulation in 23 % of the recording sessions. This instability occurred in an unpredictable way in a familiar environment and was characterized each time by a coherent angular rotation of the whole set of recorded place cells. These data suggest that, in the absence of cerebellar LTP, hippocampal spatial representation cannot be reliably anchored to the proximal cue. These results along with those from L7­PKCI mice, indicate that the cerebellum contributes to both hippocampal representation and subsequent navigation abilities and that LTP and LTD are likely to play different roles in these processes., La navigation spatiale peut être subdivisée en deux processus: la construction d’une représentation mentale de l’espace à partir de l’exploration de l’environnement d'une part, et l’utilisation de cette représentation de façon à produire le trajet le plus adapté pour rejoindre le lieu souhaité d'autre part. Lors de l’exploration de l’environnement, des informations externes et des informations de mouvement propre (i.e. vestibulaires et proprioceptives) sont combinées pour former la carte cognitive. Depuis longtemps des études suggèrent que le cervelet participe à la navigation spatiale mais son rôle a souvent été confiné à l’exécution motrice. Notre équipe a étudié des souris mutantes L7-PKCI présentant un déficit de plasticité synaptique de type dépression à long terme (DLT) au niveau des synapses entre fibres parallèles et cellules de Purkinje du cortex cérébelleux. Ces travaux ont montré que les souris présentent à la fois un déficit dans l'optimisation de la trajectoire mais également dans le maintien de la carte cognitive formée dans l'hippocampe. En effet, les propriétés de décharge des cellules de lieu de l'hippocampe sont affectées chez ces souris exclusivement lorsque celles-ci doivent naviguer en se reposant sur les informations provenant de leur mouvement propre, c'est à dire quand elles explorent l'environnement dans le noir. A ces mêmes synapses, une plasticité de type potentialisation à long terme (PLT) a été observée et permet (avec la DLT) la modulation bidirectionelle de l’efficacité synaptique. La plasticité bidirectionnelle est un processus clé dans les modèles théoriques de type « filtre adaptatif » de traitement de l’information par le cervelet. Selon ces modèles, l’absence de PLT ou DLT devrait affecter de façon similaire la plasticité bidirectionnelle et conduire ainsi à des déficits comparables. Pour tester cette hypothèse, nous avons étudié les conséquences fonctionnelles d’un déficit de type PLT au niveau de la même synapse entre fibre parallèle et cellule de Purkinje. Nous avons utilisé la lignée transgénique L7-PP2B, spécifiquement déficitaire pour cette plasticité.Malgré un léger déficit moteur révélé exclusivement sur le rotarod, les capacités de navigation des souris L7-PP2B ne sont pas affectées dans une tâche de navigation en labyrinthe aquatique de type piscine de Morris. Les propriétés des cellules de lieu de l’hippocampe des souris L7-PP2B ont ensuite été caractérisées lors de l’exploration d’une arène circulaire dans différentes conditions environnementales. Contrairement à celles des souris L7-PKCI, les propriétés des cellules de lieux des souris L7-PP2B ne sont pas affectées lorsque les souris ne peuvent utiliser que les informations de mouvement propre pour s’orienter, c'est à dire dans le noir. Par contre, les cellules de lieux des souris L7-PP2B présentent une instabilité en l’absence de toute manipulation d’indice environnemental, dans 23% des sessions d’enregistrement. Cette instabilité, absente chez les souris contrôles, se manifeste de façon imprévisible dans un environnement familier et est caractérisée par une rotation angulaire cohérente de l’ensemble des cellules de lieux enregistrées. Ces données suggèrent qu’en l’absence de PLT cérébelleuse la représentation spatiale de l’hippocampe n’est pas ancrée de façon stable aux indices externes proximaux. Ces résultats, associés à ceux des souris L7-PKCI indiquent que le cervelet contribue de manière complexe à la fois à la représentation spatiale hippocampique et aux capacités de navigation et que DLT et PLT jouent probablement des rôles différents dans ces processus.

Spatial navigation is a complex function requiring the combination of external and self-motion cues to build a coherent representation of the external world and drive optimal behaviour directed towards a goal. This multimodal integration suggests that a large network of cortical and subcortical structures interacts with the hippocampus, a key structure in navigation. I have studied navigation in mice through this global approach and have focused on one particular type of navigation, which consists in remembering a sequence of turns, named sequence-based navigation or sequential egocentric strategy. This navigation specifically relies on the temporal organization of movements at spatially distinct choice points. We first showed that sequence-based navigation learning required the hippocampus and the dorsomedial striatum. Our aim was to identify the functional network underlying sequence-based navigation using Fos imaging and computational approaches. The functional networks dynamically changed across early and late learning stages. The early stage network was dominated by a highly inter-connected cortico-striatal cluster. The hippocampus was activated alongside structures known to be involved in self-motion processing (cerebellar cortices), in mental representation of space manipulations (retrosplenial, parietal, entorhinal cortices) and in goal-directed path planning (prefrontal-basal ganglia loop). The late stage was characterized by the emergence of correlated activity between the hippocampus, the cerebellum and the cortico-striatal structures. Conjointly, we explored whether path integration, model-based or model-free reinforcement learning algorithms could explain mice’s learning dynamics. Only the model-free system, as long as a retrospective memory component was added to it, was able to reproduce both the group learning dynamics and the individual variability observed in the mice. These results suggest that a unique model-free reinforcement learning algorithm was sufficient to learn sequence-based navigation and that the multiple structures this learning required adapted their functional interactions across learning.; La navigation spatiale est une fonction complexe qui nécessite de combiner des informations sur l’environnement et notre mouvement propre pour construire une représentation du monde et trouver le chemin le plus direct vers notre but. Cette intégration multimodale suggère qu’un large réseau de structures corticales et sous-corticales interagit avec l’hippocampe, structure clé de la navigation. Je me suis concentrée chez la souris sur la navigation de type séquence (ou stratégie égocentrique séquentielle) qui repose sur l’organisation temporelle de mouvements associés à des points de choix spatialement distincts. Après avoir montré que l’apprentissage de cette navigation de type séquence nécessitait l’hippocampe et le striatum dorso-médian, nous avons caractérisé le réseau fonctionnel la sous-tendant en combinant de l’imagerie Fos, de l’analyse de connectivité fonctionnelle et une approche computationnelle. Les réseaux fonctionnels changent au cours de l’apprentissage. Lors de la phase précoce, le réseau impliqué comprend un ensemble de régions cortico-striatales fortement corrélées. L’hippocampe était activé ainsi que des structures impliquées dans le traitement d’informations de mouvement propre (cervelet), dans la manipulation de représentations mentales de l’espace (cortex rétrosplénial, pariétal, entorhinal) et dans la planification de trajectoires dirigées vers un but (boucle cortex préfrontal-ganglions de la base). Le réseau de la phase tardive est caractérisé par l’apparition d’activations coordonnées de l’hippocampe et du cervelet avec le reste du réseau. Parallèlement, nous avons testé si l’intégration de chemin, de l’apprentissage par renforcement basé modèle ou non-basé modèle pouvaient reproduire le comportement des souris. Seul un apprentissage par renforcement non-basé modèle auquel une mémoire rétrospective était ajoutée pouvait reproduire les dynamiques d’apprentissage à l’échelle du groupe ainsi que la variabilité individuelle. Ces résultats suggèrent qu’un modèle d’apprentissage par renforcement suffit à l’apprentissage de la navigation de type séquence et que l’ensemble des structures que cet apprentissage requiert adaptent leurs interactions fonctionnelles au cours de l’apprentissage.