Dissociating ventral and dorsal subicular dopamine D₁ receptor involvement in instrumental learning, spontaneous motor behavior, and motivation.

Andrzejewski, Matthew E.; Spencer, Robert C.; Kelley, Ann E.

doi:10.1037/0735-7044.120.3.542

Cited by 23 publications

(23 citation statements)

References 62 publications

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“…The subiculum has also gained attention in the context of pathophysiological models for a variety of psychiatric conditions, in particular those with a component reflecting maladaptive responses to stress (Herman and Mueller, 2006), including schizophrenia, addiction and mood disorders (Belujon and Grace, 2014; Grace, 2010). Consistent with the presence of functional differentiation across the structure, distinct behavioral consequences of dorsal and ventral subiculum manipulations have been observed in rodents (Andrzejewski et al, 2006; Caine et al, 2001). The dorsal-most regions of the subiculum are known to contain place cells which encode location within the spatial domain (O’Mara, 2006).…”

Section: Introductionsupporting

confidence: 60%

“…A final aim was to characterize the functions of the resulting sub-regions with reference to the behavioral taxonomy information in the BrainMap database. We performed a functional characterization of the region via statistical forward and reverse inference, aiming to understand more precisely the region’s role in mnemonic (Carr et al, 2013), spatial (Suthana et al, 2011), motivational (Andrzejewski et al, 2006) and other cognitive processes.…”

Section: Introductionmentioning

confidence: 99%

“…Strange et al, 2014): for example, the ventral/anterior subiculum has important input into the ventral striatum (Voorn et al, 2004) and influences context-related dopamine-dependent behavior (Andrzejewski et al, 2006; Caine et al, 2001; Lodge and Grace, 2008, 2011; Valenti et al, 2011). In addition, the subiculum has a bidirectional relationship with the basolateral amygdala (French et al, 2003) which may modulate the interaction with the ventral striatum (Gill and Grace, 2011, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Evidence for an anterior–posterior differentiation in the human hippocampal formation revealed by meta-analytic parcellation of fMRI coordinate maps: Focus on the subiculum

et al. 2015

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Previous studies, predominantly in experimental animals, have suggested the presence of a differentiation of function across the hippocampal formation. In rodents, ventral regions are thought to be involved in emotional behavior while dorsal regions mediate cognitive or spatial processes. Using a combination of modeling the co-occurrence of significant activations across thousands of neuroimaging experiments and subsequent data-driven clustering of these data we were able to provide evidence of distinct subregions within a region corresponding to the human subiculum, a critical hub within the hippocampal formation. This connectivity-based model consists of a bilateral anterior region, as well as separate posterior and intermediate regions on each hemisphere. Functional connectivity assessed both by meta-analytic and resting fMRI approaches revealed that more anterior regions were more strongly connected to the default mode network, and more posterior regions were more strongly connected to ‘task positive’ regions. In addition, our analysis revealed that the anterior subregion was functionally connected to the ventral striatum, midbrain and amygdala, a circuit that is central to models of stress and motivated behavior. Analysis of a behavioral taxonomy provided evidence for a role for each subregion in mnemonic processing, as well as implication of the anterior subregion in emotional and visual processing and the right posterior subregion in reward processing. These findings lend support to models which posit anterior-posterior differentiation of function within the human hippocampal formation and complement other early steps toward a comparative (cross-species) model of the region.

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Section: Introductionsupporting

confidence: 60%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evidence for an anterior–posterior differentiation in the human hippocampal formation revealed by meta-analytic parcellation of fMRI coordinate maps: Focus on the subiculum

et al. 2015

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“…The learning paradigm was adapted from previous reports examining the neural systems involved in appetitive learning [26-28]. Briefly, following surgical recovery and food restriction, rats received three days of magazine training in the operant chambers in which they were presented with 45 mg sugar pellets into the food magazine but were not exposed to the lever.…”

Section: Methodsmentioning

confidence: 99%

The effects of nucleus accumbens μ-opioid and adenosine 2A receptor stimulation and blockade on instrumental learning

Clissold¹,

Pratt²

2014

Behavioural Brain Research

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Prior research has shown that glutamate and dopamine receptors in the nucleus accumbens (NAcc) core are critical for the learning of an instrumental response for food reinforcement. It has also been demonstrated that μ-opioid and adenosine A2A receptors within the NAcc impact feeding and motivational processes. In these experiments, we examined the potential roles of NAcc μ-opioid and A2A receptors on instrumental learning and performance. Sprague-Dawley rats were food restricted and trained to lever press following daily intra-accumbens injections of the A2A receptor agonist CGS 21680 (at 0.0, 6.0, or 24.0 ng/side), the A2A antagonist pro-drug MSX-3 (at 0.0, 1.0, or 3.0 μg/side), the μ-opioid agonist DAMGO (at 0.0, 0.025, or 0.025 μg/side), or the opioid receptor antagonist naltrexone (at 0.0, 2.0 or 20.0 μg/side). After five days, rats continued training without drug injections until lever pressing rates stabilized, and were then tested with a final drug test to assess potential performance effects. Stimulation, but not inhibition, of NAcc adenosine A2A receptors depressed lever pressing during learning and performance tests, but did not impact lever pressing on non-drug days. Both μ-opioid receptor stimulation and blockade inhibited learning of the lever-press response, though only naltrexone treatment caused impairments in lever-pressing after the task had been learned. The effect of A2A receptor stimulation on learning and performance were consistent with known effects of adenosine on effort-related processes, whereas the pattern of lever presses, magazine approaches, and pellet consumption following opioid receptor manipulations suggested that their effects may have been driven by drug-induced shifts in the incentive value of the sugar reinforcer.

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“…For example, Hernandez et al (Hernandez et al, 2005) demonstrated a profound effect on operant behavior following pre-session D1R blockade in the NAc; however, nose-poking into the food tray (often considered a Pavlovian appetitively conditioned response) was also substantially reduced. Andrzejewski et al (Andrzejewski et al, 2006) found that D1R blockade in vSUB, but not the dSUB, impaired operant learning, but again, motivational deficits were discovered. While it appears likely that DA D1R activation is a crucial for directing the plasticity associated with operant learning, the precise role remains somewhat elusive.…”

Section: Dopamine Involvement In Reward Processing and Plasticitymentioning

confidence: 99%

The clinical relevance of neuroplasticity in corticostriatal networks during operant learning

Andrzejewski

McKee

Baldwin

et al. 2013

Neuroscience & Biobehavioral Reviews

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Dopamine and glutamate serve crucial functions in neural plasticity, learning and memory, and addiction. Contemporary theories contend that these two, widely-distributed neurotransmitter systems play an integrative role in motivational and associative information processing. Combined signaling of these systems, particularly through the dopamine (DA) D1 and glutamate (Glu) N-methyl-D-aspartate receptors (NMDAR), triggers critical intracellular signaling cascades that lead to changes in chromatin structure, gene expression, synaptic plasticity, and ultimately behavior. Addictive drugs also induce long-term neuroadaptations at the molecular and genomic levels causing structural changes that alter basic connectivity. Indeed, evidence that drugs of abuse engage D1- and NMDA-mediated neuronal cascades shared with normal reward learning provides one of the most important insights from contemporary studies on the neurobiology of addiction. Such drug-induced neuroadaptations likely contribute to abnormal information processing and behavior, resulting in the poor decision-making, loss of control, and compulsivity that characterize addiction. Such features are also common to many other neuropsychiatric disorders. Behavior problems, construed as difficulties associated with operant learning and behavior, present compelling challenges and unique opportunities for their treatment that require further study. The present review highlights the integrative work of Ann E. Kelley and colleagues, demonstrating a critical role not only for NMDAR, D1 receptors (D1R), and their associated signaling cascades, but also for other Glu receptors and protein synthesis in operant learning throughout a cortico-striatal-limbic network. Recent work has extended the impact of appetitive learning to epigenetic processes. A better understanding of these processes will likely assist in discovering therapeutics to engage neural plasticity-related processes and promote functional behavioral adaptations.

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Dissociating ventral and dorsal subicular dopamine D₁ receptor involvement in instrumental learning, spontaneous motor behavior, and motivation.

Cited by 23 publications

References 62 publications

Evidence for an anterior–posterior differentiation in the human hippocampal formation revealed by meta-analytic parcellation of fMRI coordinate maps: Focus on the subiculum

Evidence for an anterior–posterior differentiation in the human hippocampal formation revealed by meta-analytic parcellation of fMRI coordinate maps: Focus on the subiculum

The effects of nucleus accumbens μ-opioid and adenosine 2A receptor stimulation and blockade on instrumental learning

The clinical relevance of neuroplasticity in corticostriatal networks during operant learning

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