Réseaux moléculaires, structure, et fonction du striatum pendant l'apprentissage comportemental et l'automatisation
Notice bibliographique
Résumé
Efficient every day skills, such as tying shoelaces, rely on automatized behaviours. As behaviours are learnt and repeated, the link between the action and its context incrementally increases until automaticity. Behavioural automatization is essential to for smooth and effortless execution of tasks, freeing up cognitive resources for more complex activities. This process of acquisition, consolidation and automatization depends on cortico-basal ganglia circuits. These circuits are topographically organized into parallel limbic, associative and sensorimotor loops coursing through the ventromedial, dorsomedial, and dorsolateral striatum (DMS), respectively. These circuits dynamically interact and are recruited to different extents during learning. The limbic cortico‐striatal loop is especially important during initial acquisition, when behaviour is highly exploratory and reward-dependent. The associative loop is particularly recruited during the early, goal‐directed phase of learning, when associations are established. Finally, the sensorimotor loop is crucial when the learned behaviour becomes automatized. Some genes have been identified as being involved in certain phases of learning, however, subregion-specific genome-wide expression profiles of the striatum are lacking. To address this, the first part of my PhD project consisted in the assessment of the molecular signatures in the different striatal areas (ventromedial, dorsomedial, and dorsolateral striatum) during behavioural acquisition and automatization by creating a RNA expression map at each stage of learning. Furthermore, the seemingly segregated nature of the cortico-basal ganglia loops raises the question on how the information is transferred from one circuit to another. One strong candidate for such transversal flow are dopaminergic neurons that project across these loops. While dopaminergic afferents from ventral tegmental area (VTA) mainly target the ventral striatum, recent studies described a proportion of dopaminergic VTA neurons projecting to the dorsal striatum, hinting for its role in information transfer across distinct CBG loops, potentially consolidating the ongoing action into automatization. Therefore, my second part of my PhD project involved the investigation of the role of the dopaminergic VTA-DMS projections during behavioural automatization by projection-specific recording and modulation of its neurons. Finally, the third part of my PhD project focused on studying a mouse model of repetitive behaviours that presents aberrant habit formation, the Sapap3-KO mouse. I have concluded a detailed structural analysis of the neurons in the striatum of these animals, showing a reduced axon calibre in a subgroup of neurons in the DMS of the Sapap3-KO animals, when compared with their wild-type littermates. Overall, this thesis expands our knowledge of the neural circuits and molecular pathways involved in both normal and pathological regulation of habitual behaviors.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».