Inverted-U dopamine D1 receptor actions on prefrontal neurons engaged in working memory

By S. Vijayraghavan, Min Wang, S. Birnbaum, Graham V. Williams, A. Arnsten. Nature Neuroscience, 2007

1,033 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/643b18e0ea2a94b029c7c04909b3d3e39da76cbc

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Citations in the corpus

The Neuropsychopharmacology of Fronto-Executive Function: Monoaminergic Modulation (2009, methodology): “D1-R stimulation may dynamically regulate the breadth of network tuning on the basis of task demands (Vijayraghavan et al. 2007) ).”
Hyperpolarization-activated cation channels: from genes to function. (2009, neutral): “Thus activation of D1receptors on spines receiving inputs from neurons with dissimilar spatial properties could suppress irrelevant information (“noise”) from the nonpreferred direction (15, 407, 422).”
Neuronal Reward and Decision Signals: From Theories to Data. (2015, background): “Striatal dopamine depletion reduces learned neuronal responses in striatum (13), alterations of D1 receptor stimulation affect mnemonic behavior and neuronal activity in frontal cortex (505, 616), and reduction of dopamine bursting activity via NMDA receptor knockout prolongs reaction time (650).”
Dopamine and Cognitive Control in Prefrontal Cortex. (2019, methodology): “…neurons during an ODR task (using a method called microiontophoresis ), the spatial tuning of the neurons is enhanced at an optimal dose (Figure 6B,C), following an inverted-U response curve, with little stimulation having no effect and large stimulation having detrimental effects on tuning [108].”
Computational models of schizophrenia and dopamine modulation in the prefrontal cortex (2008, background): “…performance, in that excessive D1 receptor stimulation is as detrimental to cognitive performance as insufficient D1 receptor activation 116–118 . under optimal neurochemical conditions, D1 receptor stimulation would decrease noise (in this case, neuronal responses to non-preferred spatial…”
Cortical membrane potential signature of optimal states for sensory signal detection (2015, background): “This relationship, known as the Yerkes-Dodson curve, predicts that optimal performance occurs at intermediate levels of arousal (Aston-Jones and Cohen, 2005 ; Cools and D’Esposito, 2011; Murphy et al., 2011; Rajagovindan and Ding, 2011; Vijayraghavan et al., 2007; Yerkes and Dodson, 1908).”
Stress signalling pathways that impair prefrontal cortex structure and function (2009, neutral): “2b ), where an optimal level of D1 receptor stimulation enhances spatial tuning by suppressing delay-related firing to the neurons' non-preferred directions in the ODR tas”
Computational models of reinforcement learning: the role of dopamine as a reward signal (2010, background): “For instance, it was shown that dopamine could have both suppressing and enhancing effects depending on its concentration and on the 'UP' or 'DOWN' state of the target networks in vitro and in vivo (Kroener et al. 2009; Vijayraghavan et al. 2007).”