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      NAc-VTA circuit underlies emotional stress-induced anxiety-like behavior in the three-chamber vicarious social defeat stress mouse model

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          Abstract

          Emotional stress is considered a severe pathogenetic factor of psychiatric disorders. However, the circuit mechanisms remain largely unclear. Using a three-chamber vicarious social defeat stress (3C-VSDS) model in mice, we here show that chronic emotional stress (CES) induces anxiety-like behavior and transient social interaction changes. Dopaminergic neurons of ventral tegmental area (VTA) are required to control this behavioral deficit. VTA dopaminergic neuron hyperactivity induced by CES is involved in the anxiety-like behavior in the innate anxiogenic environment. Chemogenetic activation of VTA dopaminergic neurons directly triggers anxiety-like behavior, while chemogenetic inhibition of these neurons promotes resilience to the CES-induced anxiety-like behavior. Moreover, VTA dopaminergic neurons receiving nucleus accumbens (NAc) projections are activated in CES mice. Bidirectional modulation of the NAc-VTA circuit mimics or reverses the CES-induced anxiety-like behavior. In conclusion, we propose that a NAc-VTA circuit critically establishes and regulates the CES-induced anxiety-like behavior. This study not only characterizes a preclinical model that is representative of the nuanced aspect of CES, but also provides insight to the circuit-level neuronal processes that underlie empathy-like behavior.

          Abstract

          Using a three-chamber vicarious social defeat stress model in mice, Qi et al. show that chronic emotional stress (CES) induced anxiety-like behavior and transient social interaction changes. Bidirectional modulation of NAc-VTA circuit mimics or reverses the CES-induced anxiety-like behavior.

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          Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.

          State-of-the-art light and electron microscopes are capable of acquiring large image datasets, but quantitatively evaluating the data often involves manually annotating structures of interest. This process is time-consuming and often a major bottleneck in the evaluation pipeline. To overcome this problem, we have introduced the Trainable Weka Segmentation (TWS), a machine learning tool that leverages a limited number of manual annotations in order to train a classifier and segment the remaining data automatically. In addition, TWS can provide unsupervised segmentation learning schemes (clustering) and can be customized to employ user-designed image features or classifiers.
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            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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              Phasic firing in dopaminergic neurons is sufficient for behavioral conditioning.

              Natural rewards and drugs of abuse can alter dopamine signaling, and ventral tegmental area (VTA) dopaminergic neurons are known to fire action potentials tonically or phasically under different behavioral conditions. However, without technology to control specific neurons with appropriate temporal precision in freely behaving mammals, the causal role of these action potential patterns in driving behavioral changes has been unclear. We used optogenetic tools to selectively stimulate VTA dopaminergic neuron action potential firing in freely behaving mammals. We found that phasic activation of these neurons was sufficient to drive behavioral conditioning and elicited dopamine transients with magnitudes not achieved by longer, lower-frequency spiking. These results demonstrate that phasic dopaminergic activity is sufficient to mediate mammalian behavioral conditioning.
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                Author and article information

                Contributors
                mingjiewh@126.com
                tianbo@mails.tjmu.edu.cn
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                31 January 2022
                31 January 2022
                2022
                : 13
                : 577
                Affiliations
                [1 ]GRID grid.33199.31, ISNI 0000 0004 0368 7223, Department of Neurobiology, School of Basic Medicine, Tongji Medical College, , Huazhong University of Science and Technology, ; Wuhan, Hubei Province 430030 P. R. China
                [2 ]GRID grid.449637.b, ISNI 0000 0004 0646 966X, College of Acupuncture & Massage, , Shaanxi University of Chinese Medicine, ; Xixian New Area, Shaanxi Province 712046 P. R. China
                [3 ]GRID grid.449637.b, ISNI 0000 0004 0646 966X, Key Laboratory of Acupuncture & Medicine of Shaanxi Province, , Shaanxi University of Chinese Medicine, ; Xixian New Area, Shaanxi Province 712046 P. R. China
                [4 ]GRID grid.33199.31, ISNI 0000 0004 0368 7223, Institute for Brain Research, , Huazhong University of Science and Technology, ; Wuhan, Hubei Province 430030 P. R. China
                [5 ]GRID grid.419897.a, ISNI 0000 0004 0369 313X, Key Laboratory of Neurological Diseases, Ministry of Education, ; Wuhan, Hubei Province 430030 P. R. China
                [6 ]GRID grid.33199.31, ISNI 0000 0004 0368 7223, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, , Huazhong University of Science and Technology, ; Wuhan, Hubei Province 430030 P. R. China
                [7 ]GRID grid.412839.5, ISNI 0000 0004 1771 3250, Department of Breast and Thyroid Surgery, , Union Hospital, Huazhong University of Science and Technology, ; Wuhan, Hubei Province 430022 P. R. China
                Author information
                http://orcid.org/0000-0003-0608-5677
                http://orcid.org/0000-0001-6456-7426
                http://orcid.org/0000-0002-8318-3046
                Article
                28190
                10.1038/s41467-022-28190-2
                8804001
                35102141
                55af9124-def9-4821-ba4d-0d38e4df0053
                © The Author(s) 2022

                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
                : 26 July 2020
                : 7 January 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 31871073
                Award ID: 31571044
                Award ID: 31600821
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100004602, Program for New Century Excellent Talents in University (Program for New Century Excellent Talents);
                Award ID: NCET-10-0415
                Award Recipient :
                Categories
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                © The Author(s) 2022

                Uncategorized
                neural circuits,emotion
                Uncategorized
                neural circuits, emotion

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