Preferential Reactivation of Motivationally Relevant Information in the Ventral Striatum

Lansink, Carien S.; Goltstein, Pieter M.; Lankelma, J.; Joosten, R; McNaughton, Bruce L.; Pennartz, Cyriel M. A.

doi:10.1523/jneurosci.1054-08.2008

Cited by 156 publications

(183 citation statements)

References 55 publications

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“…In particular, a spontaneous reactivation (or replay) of neuronal firing patterns occurs in the ventral striatum of rats after a reward searching behavior (Lansink et al 2008;Pennartz et al 2004). This off-line replay is induced by hippocampal ripples and seems to be related to linking a memory trace to a motivational or emotional value during sleep (Lansink et al 2009).…”

Section: Activation Of Reward Networkmentioning

confidence: 99%

“…3). In particular, the activation of neurons in the ventral striatum during SWS would support the selection of memories with a high storage priority (Lansink et al 2008) and may lead to the optimization of adapted behavior during wakefulness. Consistent with this hypothesis, recent data in humans suggest that overnight consolidation of declarative memory and skill learning is guided by emotional relevance and motivational biases (Fischer and Born 2009;Sterpenich et al 2009;Wilhelm et al 2011).…”

Section: Off-line Processing and Consolidation Of Emotional Memoriesmentioning

confidence: 99%

“…Recent neuroimaging and neurophysiological findings converge to suggest that emotional and reward networks are activated during sleep (e.g., Braun et al 1997;Dahan et al 2007;Lansink et al 2008;Lena et al 2005;Maquet et al 1996;Nofzinger et al 1997). The main aim of this chapter is to consider how and why such systems are activated during sleep while the organism does not interact with its external environment.…”

Section: Introductionmentioning

confidence: 99%

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Sleep and Emotional Functions

Perogamvros

Schwartz

2013

Sleep, Neuronal Plasticity and Brain Function

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In this chapter, we review studies investigating the role of sleep in emotional functions. In particular, evidence has recently accumulated to show that brain regions involved in the processing of emotional and reward-related information are activated during sleep. We suggest that such activation of emotional and reward systems during sleep underlies the reprocessing and consolidation of memories with a high affective and motivational relevance for the organism. We also propose that these mechanisms occurring during sleep promote adapted cognitive and emotional responses in the waking state, including overnight performance improvement, creativity, and sexual functions. Activation across emotional-limbic circuits during sleep also appears to promote emotional maturation and the emergence of consciousness in the developing brain.

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Section: Activation Of Reward Networkmentioning

confidence: 99%

Section: Off-line Processing and Consolidation Of Emotional Memoriesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sleep and Emotional Functions

Perogamvros

Schwartz

2013

Sleep, Neuronal Plasticity and Brain Function

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“…Spatial-contextual information may be reactivated in the hippocampus as reactivation pertains to cells with neighboring place fields in a given environment (Wilson and McNaughton, 1994;Kudrimoti et al, 1999;Diba and Buzsáki, 2007). In contrast, the ventral striatum predominantly reactivates motivational information (Lansink et al, 2008). Neurons that first expressed a firing-rate change associated with expecting or consuming a liquid reward showed stronger reactivation than neurons not showing a modulation.…”

Section: Cross-structural Replay Of Contextual and Reward Informationmentioning

confidence: 99%

Corticostriatal Interactions during Learning, Memory Processing, and Decision Making

Pennartz¹,

Berke²,

Graybiel³

et al. 2009

J. Neurosci.

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193

125

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This mini-symposium aims to integrate recent insights from anatomy, behavior, and neurophysiology, highlighting the anatomical organization, behavioral significance, and information-processing mechanisms of corticostriatal interactions. In this summary of topics, which is not meant to provide a comprehensive survey, we will first review the anatomy of corticostriatal circuits, comparing different ways by which "loops" of cortical-basal ganglia circuits communicate. Next, we will address the causal importance and systems-neurophysiological mechanisms of corticostriatal interactions for memory, emphasizing the communication between hippocampus and ventral striatum during contextual conditioning. Furthermore, ensemble recording techniques have been applied to compare information processing in the dorsal and ventral striatum to predictions from reinforcement learning theory. We will next discuss how neural activity develops in corticostriatal areas when habits are learned. Finally, we will evaluate the role of GABAergic interneurons in dynamically transforming cortical inputs into striatal output during learning and decision making.

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“…The representations of actual and anticipated rewards in the brain are widespread and multifaceted (1)(2)(3)(4). There are many brain areas that code the value, taste, and other perceptual qualities of incentive stimuli (5)(6)(7)(8)(9)(10)(11)(12)(13)(14). Furthermore, rewards are motivating.…”

mentioning

confidence: 99%

A unified selection signal for attention and reward in primary visual cortex

Stănişor

Togt

Pennartz

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

153

164

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Stimuli associated with high rewards evoke stronger neuronal activity than stimuli associated with lower rewards in many brain regions. It is not well understood how these reward effects influence activity in sensory cortices that represent low-level stimulus features. Here, we investigated the effects of reward information in the primary visual cortex (area V1) of monkeys. We found that the reward value of a stimulus relative to the value of other stimuli is a good predictor of V1 activity. Relative value biases the competition between stimuli, just as has been shown for selective attention. The neuronal latency of this reward value effect in V1 was similar to the latency of attentional influences. Moreover, V1 neurons with a strong value effect also exhibited a strong attention effect, which implies that relative value and top-down attention engage overlapping, if not identical, neuronal selection mechanisms. Our findings demonstrate that the effects of reward value reach down to the earliest sensory processing levels of the cerebral cortex and imply that theories about the effects of reward coding and top-down attention on visual representations should be unified.object-based attention | reward expectancy R eward and punishment shape behavior. The representations of actual and anticipated rewards in the brain are widespread and multifaceted (1-4). There are many brain areas that code the value, taste, and other perceptual qualities of incentive stimuli (5-14). Furthermore, rewards are motivating. Motivational effects influence neuronal activity in brain structures responsible for goal-directed behavior in cortex, in the basal ganglia, and also at the level of the superior colliculus where neurons increase their activity if larger rewards can be obtained (1,3,9,(15)(16)(17)(18)(19). Finally, rewards influence the choice of an animal (20,21). If different stimuli are associated with distinct rewards, then it is optimal to choose the one with the highest expected value (22,23). Neurons in the parietal and orbitofrontal cortex and also in the basal ganglia increase their activity for those stimuli that predict rewards that are larger or more probable (21,22,(24)(25)(26).Intriguingly, reward value also influences neuronal activity in early visual cortex. Shuler and Bear (27) demonstrated that neurons in rat primary visual cortex predict the timing of reward delivery, even in a phase of the task when the cells are not driven by a visual stimulus. This result is remarkable because primary visual cortex (V1) neurons are usually thought to code low-level visual features rather than stimulus value. Moreover, a functional magnetic resonance imaging (fMRI) study by Serences (28) demonstrated that reward value also influences V1 activity in humans. Subjects chose between two stimuli, and the one that was more rewarding evoked more activity. Apparently, the effects of reward value can reach back to the earliest cortical processing levels, where they might influence the coding of low-level features. However, the precise me...

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Preferential Reactivation of Motivationally Relevant Information in the Ventral Striatum

Cited by 156 publications

References 55 publications

Sleep and Emotional Functions

Sleep and Emotional Functions

Corticostriatal Interactions during Learning, Memory Processing, and Decision Making

A unified selection signal for attention and reward in primary visual cortex

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