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Enregistrement W1967961733 · doi:10.1111/j.1460-9568.2009.7036.x

Regional specificity in dopamine signaling during reward‐related learning
(Commentary on Aragona <i>et al.</i>)

2009· letter· en· W1967961733 sur OpenAlexaff
Stan Floresco

Notice bibliographique

RevueEuropean Journal of Neuroscience · 2009
Typeletter
Langueen
DomaineNeuroscience
ThématiqueNeurotransmitter Receptor Influence on Behavior
Établissements canadiensBC Research (Canada)
Organismes subventionnairesnon disponible
Mots-clésDopamineNeuroscienceNucleus accumbensMidbrainDopaminergicAssociative learningStriatumForebrainPsychologyReward systemVentral tegmental areaVentral striatumCentral nervous system

Résumé

récupéré en direct d'OpenAlex

Dopamine transmission is known to play a critical role in associative learning about environmental stimuli linked to natural or drug rewards. Much of our understanding of how the dopamine system contributes to learning comes from studies analyzing changes in midbrain dopamine neuron activity occurring while animals learn to associate predictive cues with food rewards. Dopamine neurons initially respond with brief phasic bursts of activity in response to primary rewards, but over training, control of this phasic activity transfers to conditioned stimuli that are predictive of these rewards (Schultz, 1998, 2007). These bursts of activity in dopamine neurons are thought to represent a fundamental form of communication in this system (Floresco, 2007; Grace et al., 2007). Despite these findings, it remains as of yet unclear how these patterns of midbrain dopamine neural activity translate into transmitter release in forebrain terminal regions. Do phasic dopamine bursts, triggered by reward-related stimuli, result in corresponding increases in dopamine release? Are these changes uniform across different terminal regions? Moreover, do changes in dopamine signaling that occur during learning natural rewards, such as food, also occur during learning about drug rewards (e.g. cocaine), which cause unconditioned increases in dopamine release? In this issue of EJN, Aragona et al. (2009) investigated these questions by employing fast-scan cyclic voltametry to monitor real-time (sub-second) changes in dopamine release in two adjacent regions of the ventral striatum, the nucleus accumbens core and shell. Each of these regions receives dense dopaminergic innervation from midbrain dopamine neurons, and can be distinguished based on efferent and afferent connectivity and their functional contributions to reward-related behaviors (Zahm & Brog, 1992; Brog et al., 1993; Corbit et al., 2001; Ito et al., 2004). In this study, rats were subjected to a Pavlovian conditioning procedure, whereby over one session, they learned to associate the presentation of a discrete light and tone stimulus with intravenous delivery of cocaine. During the early phases of learning (i.e. the first few conditioning trials), presentation of the cue did not induce any reliable change in dopamine release. However, after about ten trials, the dopamine signal in the accumbens core appeared to ‘learn’ the predictive nature of the conditioned stimulus. Presentation of the drug-associated cue yielded a rapid and robust increase in dopamine release, in a manner similar to that displayed by the activity of midbrain dopamine neurons during similar learning about food rewards. What is particularly striking about these data is the fact that this effect was not observed in the adjacent nucleus accumbens shell region. Instead, repeated presentation of the cocaine-associated stimulus eventually resulted in cue-induced decreases in dopamine efflux, followed by an increase in release that corresponded to the pharmacological time course of cocaine effects. Similar phasic decreases in dopamine release were also observed in a separate experiment, where subjects were trained to associate a cue with a sucrose reward, suggesting that these effects could not be attributed to conditioned aversive properties of the cocaine infusions. These findings highlight the complexity of the dopamine system with respect to how rapid fluctuations in release contribute to associative learning about natural and drug rewards. Instead of showing similar changes in activity across terminal regions, dopamine signaling actually shows distinct regional specificity in terms of how it responds to reward-related stimuli. Phasic dopamine transmission within the accumbens core may serve as an incentive signal during early acquisition and subsequent maintenance of learned association with both food and drug rewards. Conversely, dynamic changes in dopamine signaling in the shell may be related to unconditioned rewarding properties of drugs of abuse. Perhaps the greatest impact of this study is that it suggests that a ‘grand unified theory’ of dopamine function may not be the most appropriate manner in which to view this neurotransmitter. Instead, dopamine transmission in different brain regions may require different theories to best explain its function.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,029

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,004
Communication savante0,0030,004
Science ouverte0,0060,002
Intégrité de la recherche0,0220,032
Charge utile insuffisante (le modèle a refusé de juger)0,0040,005

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.

Tête enseignante Opus0,050
Tête enseignante GPT0,277
Écart entre enseignants0,227 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2009
Routes d'admission1
Résumé présentoui

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