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      Dopamine and glutamate regulate striatal acetylcholine in decision-making

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          Abstract

          Striatal dopamine and acetylcholine are essential for the selection and reinforcement of motor actions and decision-making 1 . In vitro studies have revealed an intrastriatal circuit in which acetylcholine, released by cholinergic interneurons (CINs), drives the release of dopamine, and dopamine, in turn, inhibits the activity of CINs through dopamine D2 receptors (D2Rs). Whether and how this circuit contributes to striatal function in vivo is largely unknown. Here, to define the role of this circuit in a living system, we monitored acetylcholine and dopamine signals in the ventrolateral striatum of mice performing a reward-based decision-making task. We establish that dopamine and acetylcholine exhibit multiphasic and anticorrelated transients that are modulated by decision history and reward outcome. Dopamine dynamics and reward encoding do not require the release of acetylcholine by CINs. However, dopamine inhibits acetylcholine transients in a D2R-dependent manner, and loss of this regulation impairs decision-making. To determine how other striatal inputs shape acetylcholine signals, we assessed the contribution of cortical and thalamic projections, and found that glutamate release from both sources is required for acetylcholine release. Altogether, we uncover a dynamic relationship between dopamine and acetylcholine during decision-making, and reveal multiple modes of CIN regulation. These findings deepen our understanding of the neurochemical basis of decision-making and behaviour.

          Abstract

          Experiments in mice provide insight into the dynamic relationship between dopamine and acetylcholine in the ventrolateral striatum and how this signalling circuit affects decision-making and behaviour.

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          Most cited references51

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          A Neural Substrate of Prediction and Reward

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            A neural substrate of prediction and reward.

            The capacity to predict future events permits a creature to detect, model, and manipulate the causal structure of its interactions with its environment. Behavioral experiments suggest that learning is driven by changes in the expectations about future salient events such as rewards and punishments. Physiological work has recently complemented these studies by identifying dopaminergic neurons in the primate whose fluctuating output apparently signals changes or errors in the predictions of future salient and rewarding events. Taken together, these findings can be understood through quantitative theories of adaptive optimizing control.
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              Ultrafast neuronal imaging of dopamine dynamics with designed genetically encoded sensors

              Neuromodulatory systems exert profound influences on brain function. Understanding how these systems modify the operating mode of target circuits requires measuring spatiotemporally precise neuromodulator release. We developed dLight1, an intensity-based genetically encoded dopamine indicator, to enable optical recording of dopamine dynamics with high spatiotemporal resolution in behaving mice. We demonstrated the utility of dLight1 by imaging dopamine dynamics simultaneously with pharmacological manipulation, electrophysiological or optogenetic stimulation, and calcium imaging of local neuronal activity. dLight1 enabled chronic tracking of learning-induced changes in millisecond dopamine transients in striatum. Further, we used dLight1 to image spatially distinct, functionally heterogeneous dopamine transients relevant to learning and motor control in cortex. We also validated our sensor design platform for developing norepinephrine, serotonin, melatonin, and opioid neuropeptide indicators.
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                Author and article information

                Contributors
                bsabatini@hms.harvard.edu
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                9 August 2023
                9 August 2023
                2023
                : 621
                : 7979
                : 577-585
                Affiliations
                GRID grid.38142.3c, ISNI 000000041936754X, Department of Neurobiology, Howard Hughes Medical Institute, , Harvard Medical School, ; Boston, USA
                Author information
                http://orcid.org/0000-0003-4289-253X
                http://orcid.org/0000-0003-4331-9831
                http://orcid.org/0000-0003-0095-9177
                Article
                6492
                10.1038/s41586-023-06492-9
                10511323
                37557915
                ea41a5ad-2fa1-4831-ac0c-5e21b738c61f
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 9 September 2022
                : 28 July 2023
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                © Springer Nature Limited 2023

                Uncategorized
                synaptic transmission,neural circuits
                Uncategorized
                synaptic transmission, neural circuits

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