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      Plasticity of neuronal dynamics in the lateral habenula for cue-punishment associative learning

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          Abstract

          The brain’s ability to associate threats with external stimuli is vital to execute essential behaviours including avoidance. Disruption of this process contributes instead to the emergence of pathological traits which are common in addiction and depression. However, the mechanisms and neural dynamics at the single-cell resolution underlying the encoding of associative learning remain elusive. Here, employing a Pavlovian discrimination task in mice we investigate how neuronal populations in the lateral habenula (LHb), a subcortical nucleus whose excitation underlies negative affect, encode the association between conditioned stimuli and a punishment (unconditioned stimulus). Large population single-unit recordings in the LHb reveal both excitatory and inhibitory responses to aversive stimuli. Additionally, local optical inhibition prevents the formation of cue discrimination during associative learning, demonstrating a critical role of LHb activity in this process. Accordingly, longitudinal in vivo two-photon imaging tracking LHb calcium neuronal dynamics during conditioning reveals an upward or downward shift of individual neurons’ CS-evoked responses. While recordings in acute slices indicate strengthening of synaptic excitation after conditioning, support vector machine algorithms suggest that postsynaptic dynamics to punishment-predictive cues represent behavioral cue discrimination. To examine the presynaptic signaling in LHb participating in learning we monitored neurotransmitter dynamics with genetically-encoded indicators in behaving mice. While glutamate, GABA, and serotonin release in LHb remain stable across associative learning, we observe enhanced acetylcholine signaling developing throughout conditioning. In summary, converging presynaptic and postsynaptic mechanisms in the LHb underlie the transformation of neutral cues in valued signals supporting cue discrimination during learning.

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          Most cited references57

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          Emotion circuits in the brain.

          The field of neuroscience has, after a long period of looking the other way, again embraced emotion as an important research area. Much of the progress has come from studies of fear, and especially fear conditioning. This work has pinpointed the amygdala as an important component of the system involved in the acquisition, storage, and expression of fear memory and has elucidated in detail how stimuli enter, travel through, and exit the amygdala. Some progress has also been made in understanding the cellular and molecular mechanisms that underlie fear conditioning, and recent studies have also shown that the findings from experimental animals apply to the human brain. It is important to remember why this work on emotion succeeded where past efforts failed. It focused on a psychologically well-defined aspect of emotion, avoided vague and poorly defined concepts such as "affect," "hedonic tone," or "emotional feelings," and used a simple and straightforward experimental approach. With so much research being done in this area today, it is important that the mistakes of the past not be made again. It is also time to expand from this foundation into broader aspects of mind and behavior.
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            An optimized fluorescent probe for visualizing glutamate neurotransmission

            We describe an intensity-based glutamate-sensing fluorescent reporter (“iGluSnFR”) with signal-to-noise ratio and kinetics appropriate for in vivo imaging. We engineered iGluSnFR in vitro to maximize its fluorescence change, and validated its utility for visualizing glutamate release by neurons and astrocytes in increasingly intact neurological systems. In hippocampal culture, iGluSnFR detected single field stimulus-evoked glutamate release events. In pyramidal neurons in acute brain slices, glutamate uncaging at single spines showed that iGluSnFR responds robustly and specifically to glutamate in situ, and responses correlate with voltage changes. In mouse retina, iGluSnFR-expressing neurons showed intact light-evoked excitatory currents, and the sensor revealed tonic glutamate signaling in response to light stimuli. In worms, glutamate signals preceded and predicted post-synaptic calcium transients. In zebrafish, iGluSnFR revealed spatial organization of direction-selective synaptic activity in the optic tectum. Finally, in mouse forelimb motor cortex, iGluSnFR expression in layer V pyramidal neurons revealed task-dependent single-spine activity during running.
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              Neuron-type specific signals for reward and punishment in the ventral tegmental area

              Dopamine plays a key role in motivation and reward. Dopaminergic neurons in the ventral tegmental area (VTA) signal the discrepancy between expected and actual rewards (i.e., reward prediction error, RPE) 1-3 , but how they compute such signals is unknown. We recorded the activity of VTA neurons while mice associated different odour cues with appetitive and aversive outcomes. We found three types of neurons based on responses to odours and outcomes: approximately half of the neurons (Type I, 52%) showed phasic excitation after reward-predicting odours and rewards in a manner consistent with RPE coding. The other half of neurons showed persistent activity during the delay between odour and outcome, that was modulated positively (Type II, 31%) or negatively (Type III, 17%) by the value of outcomes. While the activity of Type I neurons was sensitive to actual outcomes (i.e., when the reward was delivered as expected vs. unexpectedly omitted), the activity of Types II and III neurons was determined predominantly by reward-predicting odours. We “tagged” dopaminergic and GABAergic neurons with the light-sensitive protein channelrhodopsin-2 (ChR2) and identified them based on their responses to optical stimulation while recording. All identified dopaminergic neurons were of Type I and all GABAergic neurons were of Type II. These results show that VTA GABAergic neurons signal expected reward, a key variable for dopaminergic neurons to calculate RPE.
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                Author and article information

                Contributors
                manuel.mameli@unil.ch
                Journal
                Mol Psychiatry
                Mol Psychiatry
                Molecular Psychiatry
                Nature Publishing Group UK (London )
                1359-4184
                1476-5578
                6 July 2023
                6 July 2023
                2023
                : 28
                : 12
                : 5118-5127
                Affiliations
                [1 ]The Department of Fundamental Neuroscience, The University of Lausanne, ( https://ror.org/019whta54) 1005 Lausanne, Switzerland
                [2 ]Institute of Neurobiology and Werner Reichardt Centre for Integrative Neuroscience (CIN), University of Tübingen, ( https://ror.org/03a1kwz48) 72076 Tübingen, Germany
                [3 ]Graduate Training Centre of Neuroscience, International Max Planck Research School (IMPRS), University of Tübingen, ( https://ror.org/03a1kwz48) Tübingen, Germany
                [4 ]Institute for Ophthalmic Research, University of Tübingen, ( https://ror.org/03a1kwz48) Tübingen, Germany
                [5 ]Hertie Institute for AI in Brain Health, University of Tübingen, ( https://ror.org/03a1kwz48) Tübingen, Germany
                [6 ]The Department of Biomedical Sciences, The University of Lausanne, ( https://ror.org/019whta54) 1005 Lausanne, Switzerland
                [7 ]School of Life Sciences, Peking University, ( https://ror.org/02v51f717) Beijing, 100871 China
                [8 ]Tübingen AI Center, University of Tübingen, ( https://ror.org/03a1kwz48) Tübingen, Germany
                [9 ]Inserm, UMR-S 839, ( https://ror.org/02vjkv261) 75005 Paris, France
                Author information
                http://orcid.org/0000-0002-4032-3723
                http://orcid.org/0000-0002-1997-4572
                http://orcid.org/0000-0002-9166-9919
                http://orcid.org/0000-0002-0570-6964
                Article
                2155
                10.1038/s41380-023-02155-3
                11041652
                37414924
                9b3b96ef-219c-417a-80e1-dbb35404536b
                © 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 January 2023
                : 30 May 2023
                : 19 June 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation);
                Award ID: 31003A_175549
                Award Recipient :
                Categories
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                Custom metadata
                © Springer Nature Limited 2023

                Molecular medicine
                neuroscience,depression
                Molecular medicine
                neuroscience, depression

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