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Zhang Z, Bao C, Li Z, He C, Jin W, Li C, Chen Y. Integrated omics analysis reveals the alteration of gut microbiota and fecal metabolites in Cervus elaphus kansuensis. Appl Microbiol Biotechnol 2024; 108:125. [PMID: 38229330 DOI: 10.1007/s00253-023-12841-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 10/05/2023] [Accepted: 10/17/2023] [Indexed: 01/18/2024]
Abstract
The gut microbiota is the largest and most complex microecosystem in animals. It is influenced by the host's dietary habits and living environment, and its composition and diversity play irreplaceable roles in animal nutrient metabolism, immunity, and adaptation to the environment. Although the gut microbiota of red deer has been studied, the composition and function of the gut microbiota in Gansu red deer (Cervus elaphus kansuensis), an endemic subspecies of red deer in China, has not been reported. In this study, the composition and diversity of the gut microbiome and fecal metabolomics of C. elaphus kansuensis were identified and compared for the first time by using 16S rDNA sequencing, metagenomic sequencing, and LC-MS/MS. There were significant differences in gut microbiota structure and diversity between wild and farmed C. elaphus kansuensis. The 16S rDNA sequencing results showed that the genus UCRD-005 was dominant in both captive red deer (CRD) and wild red deer (WRD). Metagenomic sequencing showed similar results to those of 16S rDNA sequencing for gut microbiota in CRD and WRD at the phylum and genus levels. 16S rDNA and metagenomics sequencing data suggested that Bacteroides and Bacillus might serve as marker genera for CRD and WRD, respectively. Fecal metabolomics results showed that 520 metabolites with significant differences were detected between CRD and WRD and most differential metabolites were involved in lipid metabolism. The results suggested that large differences in gut microbiota composition and fecal metabolites between CRD and WRD, indicating that different dietary habits and living environments over time have led to the development of stable gut microbiome characteristics for CRD and WRD to meet their respective survival and reproduction needs. KEY POINTS: • Environment and food affected the gut microbiota and fecal metabolites in red deer • Genera Bacteroides and Bacillus may play important roles in CRD and WRD, respectively • Flavonoids and ascorbic acid in fecal metabolites may influence health of red deer.
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Affiliation(s)
- Zhenxiang Zhang
- College of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China
- Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
| | - Changhong Bao
- College of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China
| | - Zhaonan Li
- College of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China
| | - Caixia He
- College of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China
| | - Wenjie Jin
- College of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China
| | - Changzhong Li
- College of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China.
| | - Yanxia Chen
- College of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China.
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2
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Oliver D, Chesney E, Cullen AE, Davies C, Englund A, Gifford G, Kerins S, Lalousis PA, Logeswaran Y, Merritt K, Zahid U, Crossley NA, McCutcheon RA, McGuire P, Fusar-Poli P. Exploring causal mechanisms of psychosis risk. Neurosci Biobehav Rev 2024:105699. [PMID: 38710421 DOI: 10.1016/j.neubiorev.2024.105699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/17/2024] [Accepted: 04/28/2024] [Indexed: 05/08/2024]
Abstract
Robust epidemiological evidence of risk and protective factors for psychosis is essential to inform preventive interventions. Previous evidence syntheses have classified these risk and protective factors according to their strength of association with psychosis. In this critical review we appraise the distinct and overlapping mechanisms of 25 key environmental risk factors for psychosis, and link these to mechanistic pathways that may contribute to neurochemical alterations hypothesised to underlie psychotic symptoms. We then discuss the implications of our findings for future research, specifically considering interactions between factors, exploring universal and subgroup-specific factors, improving understanding of temporality and risk dynamics, standardising operationalisation and measurement of risk and protective factors and developing preventive interventions targeting risk and protective factors.
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Affiliation(s)
- Dominic Oliver
- Department of Psychiatry, University of Oxford, Oxford, UK; NIHR Oxford Health Biomedical Research Centre, Oxford, UK; OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford, UK; Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Edward Chesney
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 4 Windsor Walk, SE5 8AF, London UK
| | - Alexis E Cullen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Clinical Neuroscience, Karolinska Institutet, Sweden
| | - Cathy Davies
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Amir Englund
- Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 4 Windsor Walk, SE5 8AF, London UK
| | - George Gifford
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Sarah Kerins
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Paris Alexandros Lalousis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Yanakan Logeswaran
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Biostatistics & Health Informatics, King's College London, London, UK
| | - Kate Merritt
- Division of Psychiatry, Institute of Mental Health, UCL, London, UK
| | - Uzma Zahid
- Department of Psychology, King's College London, London, UK
| | - Nicolas A Crossley
- Department of Psychiatry, University of Oxford, Oxford, UK; Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Chile
| | - Robert A McCutcheon
- Department of Psychiatry, University of Oxford, Oxford, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Oxford Health NHS Foundation Trust, Oxford, UK
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK; NIHR Oxford Health Biomedical Research Centre, Oxford, UK; OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; OASIS Service, South London and Maudsley NHS Foundation Trust, London, SE11 5DL, UK
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3
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Hynes T, Fouyssac M, Puaud M, Joshi D, Chernoff C, Stiebahl S, Michaud L, Belin D. Pan-striatal reduction in the expression of the astrocytic dopamine transporter precedes the development of dorsolateral striatum dopamine-dependent incentive heroin seeking habits. Eur J Neurosci 2024. [PMID: 38650303 DOI: 10.1111/ejn.16354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 03/28/2024] [Accepted: 03/31/2024] [Indexed: 04/25/2024]
Abstract
The emergence of compulsive drug-seeking habits, a hallmark feature of substance use disorder, has been shown to be predicated on the engagement of dorsolateral striatal control over behaviour. This process involves the dopamine-dependent functional coupling of the anterior dorsolateral striatum (aDLS) with the nucleus accumbens core, but the mechanisms by which this coupling occurs have not been fully elucidated. The striatum is tiled by a syncytium of astrocytes that express the dopamine transporter (DAT), the level of which is altered in individuals with heroin use disorder. Astrocytes are therefore uniquely placed functionally to bridge dopamine-dependent mechanisms across the striatum. Here we tested the hypothesis that exposure to heroin influences the expression of DAT in striatal astrocytes across the striatum before the development of DLS-dependent incentive heroin seeking habits. Using Western-blot, qPCR, and RNAscope™, we measured DAT protein and mRNA levels in whole tissue, culture and in situ astrocytes from striatal territories of rats with a well-established cue-controlled heroin seeking habit and rats trained to respond for heroin or food under continuous reinforcement. Incentive heroin seeking habits were associated with a reduction in DAT protein levels in the anterior aDLS that was preceded by a heroin-induced reduction in DAT mRNA and protein in astrocytes across the striatum. Striatal astrocytes were also shown to be susceptible to direct dopamine- and opioid-induced downregulation of DAT expression. These results suggest that astrocytes may critically regulate the striatal dopaminergic adaptations that lead to the development of incentive heroin seeking habits.
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Affiliation(s)
- Tristan Hynes
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Maxime Fouyssac
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Mickaël Puaud
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Dhaval Joshi
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Chloe Chernoff
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Sonja Stiebahl
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Lola Michaud
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - David Belin
- Department of Psychology, University of Cambridge, Cambridge, UK
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4
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Molas S, Freels TG, Zhao-Shea R, Lee T, Gimenez-Gomez P, Barbini M, Martin GE, Tapper AR. Dopamine control of social novelty preference is constrained by an interpeduncular-tegmentum circuit. Nat Commun 2024; 15:2891. [PMID: 38570514 PMCID: PMC10991551 DOI: 10.1038/s41467-024-47255-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 03/20/2024] [Indexed: 04/05/2024] Open
Abstract
Animals are inherently motivated to explore social novelty cues over familiar ones, resulting in a novelty preference (NP), although the behavioral and circuit bases underlying NP are unclear. Combining calcium and neurotransmitter sensors with fiber photometry and optogenetics in mice, we find that mesolimbic dopamine (DA) neurotransmission is strongly and predominantly activated by social novelty controlling bout length of interaction during NP, a response significantly reduced by familiarity. In contrast, interpeduncular nucleus (IPN) GABAergic neurons that project to the lateral dorsal tegmentum (LDTg) were inhibited by social novelty but activated during terminations with familiar social stimuli. Inhibition of this pathway during NP increased interaction and bout length with familiar social stimuli, while activation reduced interaction and bout length with novel social stimuli via decreasing DA neurotransmission. These data indicate interest towards novel social stimuli is encoded by mesolimbic DA which is dynamically regulated by an IPN→LDTg circuit to control NP.
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Affiliation(s)
- Susanna Molas
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute University of Massachusetts Chan Medical School 364 Plantation St, LRB, Worcester, 01605, MA, USA.
- Institute for Behavioral Genetics, University of Colorado Boulder 1480 30th St, Boulder, 80303, CO, USA.
- Department of Psychology and Neuroscience, University of Colorado Boulder 1905 Colorado Ave, Boulder, 80309, CO, USA.
| | - Timothy G Freels
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute University of Massachusetts Chan Medical School 364 Plantation St, LRB, Worcester, 01605, MA, USA
| | - Rubing Zhao-Shea
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute University of Massachusetts Chan Medical School 364 Plantation St, LRB, Worcester, 01605, MA, USA
| | - Timothy Lee
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute University of Massachusetts Chan Medical School 364 Plantation St, LRB, Worcester, 01605, MA, USA
| | - Pablo Gimenez-Gomez
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute University of Massachusetts Chan Medical School 364 Plantation St, LRB, Worcester, 01605, MA, USA
| | - Melanie Barbini
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute University of Massachusetts Chan Medical School 364 Plantation St, LRB, Worcester, 01605, MA, USA
| | - Gilles E Martin
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute University of Massachusetts Chan Medical School 364 Plantation St, LRB, Worcester, 01605, MA, USA
| | - Andrew R Tapper
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute University of Massachusetts Chan Medical School 364 Plantation St, LRB, Worcester, 01605, MA, USA.
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5
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Vu MAT, Brown EH, Wen MJ, Noggle CA, Zhang Z, Monk KJ, Bouabid S, Mroz L, Graham BM, Zhuo Y, Li Y, Otchy TM, Tian L, Davison IG, Boas DA, Howe MW. Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior. Neuron 2024; 112:909-923.e9. [PMID: 38242115 PMCID: PMC10957316 DOI: 10.1016/j.neuron.2023.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/11/2023] [Accepted: 12/15/2023] [Indexed: 01/21/2024]
Abstract
Neural population dynamics relevant to behavior vary over multiple spatial and temporal scales across three-dimensional volumes. Current optical approaches lack the spatial coverage and resolution necessary to measure and manipulate naturally occurring patterns of large-scale, distributed dynamics within and across deep brain regions such as the striatum. We designed a new micro-fiber array approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice, enabling the investigation of cell-type- and neurotransmitter-specific signals over arbitrary 3D volumes at a spatial resolution and coverage previously inaccessible. We applied this method to resolve rapid dopamine release dynamics across the striatum, revealing distinct, modality-specific spatiotemporal patterns in response to salient sensory stimuli extending over millimeters of tissue. Targeted optogenetics enabled flexible control of neural signaling on multiple spatial scales, better matching endogenous signaling patterns, and the spatial localization of behavioral function across large circuits.
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Affiliation(s)
- Mai-Anh T Vu
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Eleanor H Brown
- Graduate Program for Neuroscience, Boston University, Boston, MA, USA
| | - Michelle J Wen
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Howard Hughes Medical Institute, Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Christian A Noggle
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Zicheng Zhang
- Department of Biology, Boston University, Boston, MA, USA
| | - Kevin J Monk
- Department of Biology, Boston University, Boston, MA, USA
| | - Safa Bouabid
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Lydia Mroz
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Northeastern University, Boston, MA, USA
| | - Benjamin M Graham
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Yizhou Zhuo
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China; PKU-IDG/McGovern Institute for Brain Research, Beijing, China; Peking-Tsinghua Center for Life Sciences, Beijing, China
| | - Yulong Li
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA; State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China; PKU-IDG/McGovern Institute for Brain Research, Beijing, China; Peking-Tsinghua Center for Life Sciences, Beijing, China
| | | | - Lin Tian
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA; Max Planck Florida Institute of Neuroscience, Jupiter, FL, USA
| | - Ian G Davison
- Department of Biology, Boston University, Boston, MA, USA
| | - David A Boas
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Mark W Howe
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA.
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6
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Araújo A, Duarte IC, Sousa T, Oliveira J, Pereira AT, Macedo A, Castelo-Branco M. Neural inhibition as implemented by an actor-critic model involves the human dorsal striatum and ventral tegmental area. Sci Rep 2024; 14:6363. [PMID: 38493169 PMCID: PMC10944470 DOI: 10.1038/s41598-024-56161-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 03/02/2024] [Indexed: 03/18/2024] Open
Abstract
Inhibition is implicated across virtually all human experiences. As a trade-off of being very efficient, this executive function is also prone to many errors. Rodent and computational studies show that midbrain regions play crucial roles during errors by sending dopaminergic learning signals to the basal ganglia for behavioural adjustment. However, the parallels between animal and human neural anatomy and function are not determined. We scanned human adults while they performed an fMRI inhibitory task requiring trial-and-error learning. Guided by an actor-critic model, our results implicate the dorsal striatum and the ventral tegmental area as the actor and the critic, respectively. Using a multilevel and dimensional approach, we also demonstrate a link between midbrain and striatum circuit activity, inhibitory performance, and self-reported autistic and obsessive-compulsive subclinical traits.
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Affiliation(s)
- Ana Araújo
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- Institute of Psychological Medicine, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Department of Psychiatry, Coimbra Hospital and University Centre, Coimbra, Portugal
| | - Isabel Catarina Duarte
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
| | - Teresa Sousa
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
| | - Joana Oliveira
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
| | - Ana Telma Pereira
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- Institute of Psychological Medicine, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - António Macedo
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
- Institute of Psychological Medicine, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Department of Psychiatry, Coimbra Hospital and University Centre, Coimbra, Portugal
| | - Miguel Castelo-Branco
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal.
- Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal.
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
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7
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Kim EJ, Kong MS, Park S, Cho J, Kim JJ. Periaqueductal gray activates antipredatory neural responses in the amygdala of foraging rats. bioRxiv 2024:2023.05.19.541463. [PMID: 38559038 PMCID: PMC10979854 DOI: 10.1101/2023.05.19.541463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Pavlovian fear conditioning research suggests that the interaction between the dorsal periaqueductal gray (dPAG) and basolateral amygdala (BLA) acts as a prediction error mechanism in the formation of associative fear memories. However, their roles in responding to naturalistic predatory threats, characterized by less explicit cues and the absence of reiterative trial-and-error learning events, remain unexplored. In this study, we conducted single-unit recordings in rats during an 'approach food-avoid predator' task, focusing on the responsiveness of dPAG and BLA neurons to a looming robot predator. Optogenetic stimulation of the dPAG triggered fleeing behaviors and increased BLA activity in naive rats. Notably, BLA neurons activated by dPAG stimulation displayed immediate responses to the robot, demonstrating heightened synchronous activity compared to BLA neurons that did not respond to dPAG stimulation. Additionally, the use of anterograde and retrograde tracer injections into the dPAG and BLA, respectively, coupled with c-Fos activation in response to predatory threats, indicates that the midline thalamus may play an intermediary role in innate antipredatory defensive functioning.
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Liu M, Gao Y, Xin F, Hu Y, Wang T, Xie F, Shao C, Li T, Wang N, Yuan K. Parvalbumin and Somatostatin: Biomarkers for Two Parallel Tectothalamic Pathways in the Auditory Midbrain. J Neurosci 2024; 44:e1655232024. [PMID: 38326037 PMCID: PMC10919325 DOI: 10.1523/jneurosci.1655-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 01/15/2024] [Accepted: 01/20/2024] [Indexed: 02/09/2024] Open
Abstract
The inferior colliculus (IC) represents a crucial relay station in the auditory pathway, located in the midbrain's tectum and primarily projecting to the thalamus. Despite the identification of distinct cell classes based on various biomarkers in the IC, their specific contributions to the organization of auditory tectothalamic pathways have remained poorly understood. In this study, we demonstrate that IC neurons expressing parvalbumin (ICPV+) or somatostatin (ICSOM+) represent two minimally overlapping cell classes throughout the three IC subdivisions in mice of both sexes. Strikingly, regardless of their location within the IC, these neurons predominantly project to the primary and secondary auditory thalamic nuclei, respectively. Cell class-specific input tracing suggested that ICPV+ neurons primarily receive auditory inputs, whereas ICSOM+ neurons receive significantly more inputs from the periaqueductal gray and the superior colliculus (SC), which are sensorimotor regions critically involved in innate behaviors. Furthermore, ICPV+ neurons exhibit significant heterogeneity in both intrinsic electrophysiological properties and presynaptic terminal size compared with ICSOM+ neurons. Notably, approximately one-quarter of ICPV+ neurons are inhibitory neurons, whereas all ICSOM+ neurons are excitatory neurons. Collectively, our findings suggest that parvalbumin and somatostatin expression in the IC can serve as biomarkers for two functionally distinct, parallel tectothalamic pathways. This discovery suggests an alternative way to define tectothalamic pathways and highlights the potential usefulness of Cre mice in understanding the multifaceted roles of the IC at the circuit level.
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Affiliation(s)
- Mengting Liu
- Department of Otorhinolaryngology Head and Neck Surgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China
| | - Yixiao Gao
- Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Fengyuan Xin
- School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
| | - Ying Hu
- Zhili College, Tsinghua University, Beijing 100084, China
| | - Tao Wang
- Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China
- School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Fenghua Xie
- School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
- Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing 100084, China
| | - Chengjun Shao
- School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Tianyu Li
- School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
| | - Ningyu Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Kexin Yuan
- School of Biomedical Engineering, Tsinghua University, Beijing 100084, China
- Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing 100084, China
- IDG/McGovern Institute for Brain Research at Tsinghua, Tsinghua University, Beijing 10084, China
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9
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Abe K, Kambe Y, Majima K, Hu Z, Ohtake M, Momennezhad A, Izumi H, Tanaka T, Matunis A, Stacy E, Itokazu T, Sato TR, Sato TK. Functional Diversity of Dopamine Axons in Prefrontal Cortex During Classical Conditioning. bioRxiv 2024:2023.08.23.554475. [PMID: 37662305 PMCID: PMC10473671 DOI: 10.1101/2023.08.23.554475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Midbrain dopamine neurons impact neural processing in the prefrontal cortex (PFC) through mesocortical projections. However, the signals conveyed by dopamine projections to the PFC remain unclear, particularly at the single-axon level. Here, we investigated dopaminergic axonal activity in the medial PFC (mPFC) during reward and aversive processing. By optimizing microprism-mediated two-photon calcium imaging of dopamine axon terminals, we found diverse activity in dopamine axons responsive to both reward and aversive stimuli. Some axons exhibited a preference for reward, while others favored aversive stimuli, and there was a strong bias for the latter at the population level. Long-term longitudinal imaging revealed that the preference was maintained in reward- and aversive-preferring axons throughout classical conditioning in which rewarding and aversive stimuli were paired with preceding auditory cues. However, as mice learned to discriminate reward or aversive cues, a cue activity preference gradually developed only in aversive-preferring axons. We inferred the trial-by-trial cue discrimination based on machine learning using anticipatory licking or facial expressions, and found that successful discrimination was accompanied by sharper selectivity for the aversive cue in aversive-preferring axons. Our findings indicate that a group of mesocortical dopamine axons encodes aversive-related signals, which are modulated by both classical conditioning across days and trial-by-trial discrimination within a day.
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10
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Akgül Ö, Fide E, Özel F, Alptekin K, Bora E, Akdede BB, Yener G. Enhanced Punishment Responses in Patients With Schizophrenia: An Event-Related Potential Study. Clin EEG Neurosci 2024; 55:219-229. [PMID: 37563908 DOI: 10.1177/15500594231190966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
It is well known that abnormal reward processing is a characteristic feature of various psychopathologies including schizophrenia. Reduced reward anticipation has been suggested as a core symptom of schizophrenia. The Monetary Incentive Delay Task (MID) is frequently used to detect reward anticipation. The present study aims to evaluate the amplitude and latency of event-related potential (ERP) P300 in patients with schizophrenia (SCH) compared to healthy controls during the MID task. Twenty patients with SCH and 21 demographically matched healthy controls (HC) were included in the study. ERP P300 amplitude and latency values were compared between groups using an MID task in which reward and loss cues were presented. Relations between P300 and clinical facets were investigated in the patient group. SCH group had enhanced mean P300 amplitudes and delayed peak latency in the punishment condition compared with HC. These higher responses were also associated with negative symptoms. SCH group showed altered reward processing as being more sensitive to loss of reward conditions as firstly evidenced by electrophysiological methods, possibly due to abnormality in various systems including social withdrawal, social defeat, and behavioral inhibition system.
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Affiliation(s)
- Özge Akgül
- Faculty of Arts and Sciences, Department of Psychology, Izmir Democracy University, Izmir, Turkey
| | - Ezgi Fide
- Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey
| | - Fatih Özel
- Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Köksal Alptekin
- Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey
- Faculty of Medicine, Department of Psychiatry, Dokuz Eylül University, Izmir, Turkey
| | - Emre Bora
- Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey
- Faculty of Medicine, Department of Psychiatry, Dokuz Eylül University, Izmir, Turkey
| | - Berna Binnur Akdede
- Department of Neurosciences, Dokuz Eylül University, Izmir, Turkey
- Faculty of Medicine, Department of Psychiatry, Dokuz Eylül University, Izmir, Turkey
| | - Görsev Yener
- Brain Dynamics Multidisciplinary Research Center, Dokuz Eylül University, Izmir, Turkey
- Faculty of Medicine, Department of Neurology, Izmir University of Economics, Izmir, Turkey
- Izmir International Biomedicine and Genome Institute, Dokuz Eylül University, Izmir, Turkey
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11
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Monosov IE. Curiosity: primate neural circuits for novelty and information seeking. Nat Rev Neurosci 2024; 25:195-208. [PMID: 38263217 DOI: 10.1038/s41583-023-00784-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2023] [Indexed: 01/25/2024]
Abstract
For many years, neuroscientists have investigated the behavioural, computational and neurobiological mechanisms that support value-based decisions, revealing how humans and animals make choices to obtain rewards. However, many decisions are influenced by factors other than the value of physical rewards or second-order reinforcers (such as money). For instance, animals (including humans) frequently explore novel objects that have no intrinsic value solely because they are novel and they exhibit the desire to gain information to reduce their uncertainties about the future, even if this information cannot lead to reward or assist them in accomplishing upcoming tasks. In this Review, I discuss how circuits in the primate brain responsible for detecting, predicting and assessing novelty and uncertainty regulate behaviour and give rise to these behavioural components of curiosity. I also briefly discuss how curiosity-related behaviours arise during postnatal development and point out some important reasons for the persistence of curiosity across generations.
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Affiliation(s)
- Ilya E Monosov
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Electrical Engineering, Washington University, St. Louis, MO, USA.
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA.
- Department of Neurosurgery, Washington University, St. Louis, MO, USA.
- Pain Center, Washington University, St. Louis, MO, USA.
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12
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Hamati R, Ahrens J, Shvetz C, Holahan MR, Tuominen L. 65 years of research on dopamine's role in classical fear conditioning and extinction: A systematic review. Eur J Neurosci 2024; 59:1099-1140. [PMID: 37848184 DOI: 10.1111/ejn.16157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 09/08/2023] [Accepted: 09/13/2023] [Indexed: 10/19/2023]
Abstract
Dopamine, a catecholamine neurotransmitter, has historically been associated with the encoding of reward, whereas its role in aversion has received less attention. Here, we systematically gathered the vast evidence of the role of dopamine in the simplest forms of aversive learning: classical fear conditioning and extinction. In the past, crude methods were used to augment or inhibit dopamine to study its relationship with fear conditioning and extinction. More advanced techniques such as conditional genetic, chemogenic and optogenetic approaches now provide causal evidence for dopamine's role in these learning processes. Dopamine neurons encode conditioned stimuli during fear conditioning and extinction and convey the signal via activation of D1-4 receptor sites particularly in the amygdala, prefrontal cortex and striatum. The coordinated activation of dopamine receptors allows for the continuous formation, consolidation, retrieval and updating of fear and extinction memory in a dynamic and reciprocal manner. Based on the reviewed literature, we conclude that dopamine is crucial for the encoding of classical fear conditioning and extinction and contributes in a way that is comparable to its role in encoding reward.
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Affiliation(s)
- Rami Hamati
- Neuroscience Graduate Program, Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
- University of Ottawa Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
| | - Jessica Ahrens
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
- Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
| | - Cecelia Shvetz
- University of Ottawa Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
- Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
| | - Matthew R Holahan
- Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
| | - Lauri Tuominen
- University of Ottawa Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
- Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
- Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada
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13
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Lu X, Xue J, Lai Y, Tang X. Heterogeneity of mesencephalic dopaminergic neurons: From molecular classifications, electrophysiological properties to functional connectivity. FASEB J 2024; 38:e23465. [PMID: 38315491 DOI: 10.1096/fj.202302031r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 01/06/2024] [Accepted: 01/22/2024] [Indexed: 02/07/2024]
Abstract
The mesencephalic dopamine (DA) system is composed of neuronal subtypes that are molecularly and functionally distinct, are responsible for specific behaviors, and are closely associated with numerous brain disorders. Existing research has made significant advances in identifying the heterogeneity of mesencephalic DA neurons, which is necessary for understanding their diverse physiological functions and disease susceptibility. Moreover, there is a conflict regarding the electrophysiological properties of the distinct subsets of midbrain DA neurons. This review aimed to elucidate recent developments in the heterogeneity of midbrain DA neurons, including subpopulation categorization, electrophysiological characteristics, and functional connectivity to provide new strategies for accurately identifying distinct subtypes of midbrain DA neurons and investigating the underlying mechanisms of these neurons in various diseases.
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Affiliation(s)
- Xiaying Lu
- Department of Pathophysiology, School of Basic Medical Sciences, Gannan Medical University, Ganzhou, China
| | - Jinhua Xue
- Department of Pathophysiology, School of Basic Medical Sciences, Gannan Medical University, Ganzhou, China
| | - Yudong Lai
- Department of Human Anatomy, School of Basic Medical Sciences, Gannan Medical University, Ganzhou, China
| | - Xiaolu Tang
- The First Clinical Medical College, Gannan Medical University, Ganzhou, China
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14
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Jordan R. The locus coeruleus as a global model failure system. Trends Neurosci 2024; 47:92-105. [PMID: 38102059 DOI: 10.1016/j.tins.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/27/2023] [Accepted: 11/20/2023] [Indexed: 12/17/2023]
Abstract
Predictive processing models posit that brains constantly attempt to predict their sensory inputs. Prediction errors signal when these predictions are incorrect and are thought to be instructive signals that drive corrective plasticity. Recent findings support the idea that the locus coeruleus (LC) - a brain-wide neuromodulatory system - signals several types of prediction error. I discuss how these findings support models proposing that the LC signals global model failures: instances where predictions about the world are strongly violated. Focusing on the cortex, I explore the utility of this signal in learning rate control, how the LC circuit may compute the signal, and how this view may aid our understanding of neurodivergence.
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Affiliation(s)
- Rebecca Jordan
- Simons Initiative for the Developing Brain, University of Edinburgh, 1 George Square, EH8 9JZ, Edinburgh, UK.
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15
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Fudge JL, Kelly EA, Love TM. Amygdalo-nigral inputs target dopaminergic and GABAergic neurons in the primate: a view from dendrites and soma. bioRxiv 2024:2024.01.16.575910. [PMID: 38293165 PMCID: PMC10827221 DOI: 10.1101/2024.01.16.575910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
The central nucleus (CeN) of the amygdala is an important afferent to the DA system that mediates motivated learning. We previously found that CeN terminals in nonhuman primates primarily overlap the elongated lateral VTA (parabrachial pigmented nucleus, PBP, A10), and retrorubral field(A8) subregion. Here, we examined CeN afferent contacts on cell somata and proximal dendrites of DA and GABA neurons, and distal dendrites of each, using confocal and electron microscopy (EM) methods, respectively. At the soma/proximal dendrites, the proportion of TH+ and GAD1+ cells receiving at least one CeN afferent contact was surprisingly similar (TH = 0.55: GAD1=0.55 in PBP; TH = 0.56; GAD1 =0.51 in A8), with the vast majority of contacted TH+ and GAD1+ soma/proximal dendrites received 1-2 contacts. Similar numbers of tracer-labeled terminals also contacted TH-positive and GAD1-positive small dendrites and/or spines (39% of all contacted dendrites were either TH- or GAD1-labeled). Overall, axon terminals had more symmetric (putative inhibitory) axonal contacts with no difference in the relative distribution in the PBP versus A8, or onto TH+ versus GAD1+ dendrites/spines in either region. The striking uniformity in the amygdalonigral projection across the PBP-A8 terminal field suggests that neither neurotransmitter phenotype nor midbrain location dictates likelihood of a terminal contact. We discuss how this afferent uniformity can play out in recently discovered differences in DA:GABA cell densities between the PBP and A8, and affect specific outputs. Significance statement The amygdala's central nucleus (CeN) channels salient cues to influence both appetitive and aversive responses via DA outputs. In higher species, the broad CeN terminal field overlaps the parabrachial pigmented nucleus ('lateral A10') and the retrorubral field (A8). We quantified terminal contacts in each region on DA and GABAergic soma/proximal dendrites and small distal dendrites. There was striking uniformity in contacts on DA and GABAergic cells, regardless of soma and dendritic compartment, in both regions. Most contacts were symmetric (putative inhibitory) with little change in the ratio of inhibitory to excitatory contacts by region.We conclude that post-synaptic shifts in DA-GABA ratios are key to understanding how these relatively uniform inputs can produce diverse effects on outputs.
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16
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Wang Q, Wang Y, Tian Y, Li Y, Han J, Tai F, Jia R. Social environment enrichment alleviates anxiety-like behavior in mice: Involvement of the dopamine system. Behav Brain Res 2024; 456:114687. [PMID: 37778421 DOI: 10.1016/j.bbr.2023.114687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/28/2023] [Accepted: 09/28/2023] [Indexed: 10/03/2023]
Abstract
Rearing environment plays a vital role in maintaining physical and mental health of both animals and humans. Plenty of studies have proved that physical environment enrichment in adolescence has protective effects on emotion, social behavior, learning and memory deficits. However, the following effects of social environment enrichment in adolescence remain largely elusive. Using the paradigm of companion rotation (CR), the present study found that social environment enrichment reduced anxiety-like behaviors of early adult male C57BL/6J mice. CR group also showed significantly higher expression of tyrosine hydroxylase in the ventral tegmental area and dopamine 1 receptor mRNA in the nucleus accumbens shell than control group. Taken together, these findings demonstrate that CR from adolescence to early adulthood can suppress the level of anxiety and upregulate dopaminergic neuron activity in early adult male C57BL/6J mice.
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Affiliation(s)
- Qun Wang
- Institute of Brain and Behavioral Science, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, China
| | - Yuqian Wang
- Institute of Brain and Behavioral Science, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, China
| | - Yaoyao Tian
- Institute of Brain and Behavioral Science, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, China
| | - Yanyan Li
- Institute of Brain and Behavioral Science, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, China
| | - Jing Han
- MOE Key Laboratory of Modern Teaching Technology, Shaanxi Normal University, Xi'an, Shaanxi 710062, China
| | - Fadao Tai
- Institute of Brain and Behavioral Science, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, China
| | - Rui Jia
- Institute of Brain and Behavioral Science, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, China.
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17
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Lowet AS, Zheng Q, Meng M, Matias S, Drugowitsch J, Uchida N. An opponent striatal circuit for distributional reinforcement learning. bioRxiv 2024:2024.01.02.573966. [PMID: 38260354 PMCID: PMC10802299 DOI: 10.1101/2024.01.02.573966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Machine learning research has achieved large performance gains on a wide range of tasks by expanding the learning target from mean rewards to entire probability distributions of rewards - an approach known as distributional reinforcement learning (RL)1. The mesolimbic dopamine system is thought to underlie RL in the mammalian brain by updating a representation of mean value in the striatum2,3, but little is known about whether, where, and how neurons in this circuit encode information about higher-order moments of reward distributions4. To fill this gap, we used high-density probes (Neuropixels) to acutely record striatal activity from well-trained, water-restricted mice performing a classical conditioning task in which reward mean, reward variance, and stimulus identity were independently manipulated. In contrast to traditional RL accounts, we found robust evidence for abstract encoding of variance in the striatum. Remarkably, chronic ablation of dopamine inputs disorganized these distributional representations in the striatum without interfering with mean value coding. Two-photon calcium imaging and optogenetics revealed that the two major classes of striatal medium spiny neurons - D1 and D2 MSNs - contributed to this code by preferentially encoding the right and left tails of the reward distribution, respectively. We synthesize these findings into a new model of the striatum and mesolimbic dopamine that harnesses the opponency between D1 and D2 MSNs5-15 to reap the computational benefits of distributional RL.
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Affiliation(s)
- Adam S Lowet
- Center for Brain Science, Harvard University, Cambridge, MA, USA
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
- Program in Neuroscience, Harvard University, Boston, MA, USA
| | - Qiao Zheng
- Center for Brain Science, Harvard University, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Melissa Meng
- Center for Brain Science, Harvard University, Cambridge, MA, USA
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Sara Matias
- Center for Brain Science, Harvard University, Cambridge, MA, USA
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Jan Drugowitsch
- Center for Brain Science, Harvard University, Cambridge, MA, USA
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Naoshige Uchida
- Center for Brain Science, Harvard University, Cambridge, MA, USA
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
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18
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Carvalheiro J, Philiastides MG. Distinct spatiotemporal brainstem pathways of outcome valence during reward- and punishment-based learning. Cell Rep 2023; 42:113589. [PMID: 38100353 DOI: 10.1016/j.celrep.2023.113589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 10/05/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023] Open
Abstract
Learning to seek rewards and avoid punishments, based on positive and negative choice outcomes, is essential for human survival. Yet, the neural underpinnings of outcome valence in the human brainstem and the extent to which they differ in reward and punishment learning contexts remain largely elusive. Here, using simultaneously acquired electroencephalography and functional magnetic resonance imaging data, we show that during reward learning the substantia nigra (SN)/ventral tegmental area (VTA) and locus coeruleus are initially activated following negative outcomes, while the VTA subsequently re-engages exhibiting greater responses for positive than negative outcomes, consistent with an early arousal/avoidance response and a later value-updating process, respectively. During punishment learning, we show that distinct raphe nucleus and SN subregions are activated only by negative outcomes with a sustained post-outcome activity across time, supporting the involvement of these brainstem subregions in avoidance behavior. Finally, we demonstrate that the coupling of these brainstem structures with other subcortical and cortical areas helps to shape participants' serial choice behavior in each context.
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Affiliation(s)
- Joana Carvalheiro
- School of Psychology and Neuroscience, University of Glasgow, Glasgow G12 8QB, UK; Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow G12 8QB, UK.
| | - Marios G Philiastides
- School of Psychology and Neuroscience, University of Glasgow, Glasgow G12 8QB, UK; Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow G12 8QB, UK.
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19
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Amjad U, Choi J, Gibson DJ, Murray R, Graybiel AM, Schwerdt HN. Synchronous Measurements of Extracellular Action Potentials and Neurochemical Activity with Carbon Fiber Electrodes in Nonhuman Primates. bioRxiv 2023:2023.12.23.573130. [PMID: 38187624 PMCID: PMC10769335 DOI: 10.1101/2023.12.23.573130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Measuring the dynamic relationship between neuromodulators, such as dopamine, and neuronal action potentials is imperative to understand how these fundamental modes of neural signaling interact to mediate behavior. Here, we developed methods to measure concurrently dopamine and extracellular action potentials (i.e., spikes) and applied these in a monkey performing a behavioral task. Standard fast-scan cyclic voltammetric (FSCV) electrochemical (EChem) and electrophysiological (EPhys) recording systems are combined and used to collect spike and dopamine signals, respectively, from an array of carbon fiber (CF) sensors implanted in the monkey striatum. FSCV requires the application of small voltages at the implanted sensors to measure redox currents generated from target molecules, such as dopamine. These applied voltages create artifacts at neighboring EPhys-measurement sensors, producing signals that may falsely be classified as physiological spikes. Therefore, simple automated temporal interpolation algorithms were designed to remove these artifacts and enable accurate spike extraction. We validated these methods using simulated artifacts and demonstrated an average spike recovery rate of 84.5%. This spike extraction was performed on data collected from concurrent EChem and EPhys recordings made in a task-performing monkey to discriminate cell-type specific striatal units. These identified units were shown to correlate to specific behavioral task parameters related to reward size and eye-movement direction. Synchronous measures of spike and dopamine signals displayed contrasting relations to the behavioral task parameters, as taken from our small set of representative data, suggesting a complex relationship between these two modes of neural signaling. Future application of our methods will help advance our understanding of the interactions between neuromodulator signaling and neuronal activity, to elucidate more detailed mechanisms of neural circuitry and plasticity mediating behaviors in health and in disease.
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Affiliation(s)
- Usamma Amjad
- Department of Bioengineering, University of Pittsburgh, USA
| | - Jiwon Choi
- Department of Bioengineering, University of Pittsburgh, USA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Daniel J Gibson
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA
| | - Raymond Murray
- Department of Bioengineering, University of Pittsburgh, USA
| | - Ann M Graybiel
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA
| | - Helen N Schwerdt
- Department of Bioengineering, University of Pittsburgh, USA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
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20
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Shan Q, Tian Y, Chen H, Lin X, Tian Y. Reduction in the activity of VTA/SNc dopaminergic neurons underlies aging-related decline in novelty seeking. Commun Biol 2023; 6:1224. [PMID: 38042964 PMCID: PMC10693597 DOI: 10.1038/s42003-023-05571-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 11/10/2023] [Indexed: 12/04/2023] Open
Abstract
Curiosity, or novelty seeking, is a fundamental mechanism motivating animals to explore and exploit environments to improve survival, and is also positively associated with cognitive, intrapersonal and interpersonal well-being in humans. However, curiosity declines as humans age, and the decline even positively predicts the extent of cognitive decline in Alzheimer's disease patients. Therefore, determining the underlying mechanism, which is currently unknown, is an urgent task for the present aging society that is growing at an unprecedented rate. This study finds that seeking behaviors for both social and inanimate novelties are compromised in aged mice, suggesting that the aging-related decline in curiosity and novelty-seeking is a biological process. This study further identifies an aging-related reduction in the activity (manifesting as a reduction in spontaneous firing) of dopaminergic neurons in the ventral tegmental area (VTA) and substantia nigra pars compacta (SNc). Finally, this study establishes that this reduction in activity causally underlies the aging-related decline in novelty-seeking behaviors. This study potentially provides an interventional strategy for maintaining high curiosity in the aged population, i.e., compensating for the reduced activity of VTA/SNc dopaminergic neurons, enabling the aged population to cope more smoothly with the present growing aging society, physically, cognitively and socioeconomically.
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Affiliation(s)
- Qiang Shan
- Laboratory for Synaptic Plasticity, Shantou University Medical College, 515041, Shantou, Guangdong, China.
| | - Ye Tian
- Laboratory for Synaptic Plasticity, Shantou University Medical College, 515041, Shantou, Guangdong, China
| | - Hang Chen
- Laboratory for Synaptic Plasticity, Shantou University Medical College, 515041, Shantou, Guangdong, China
| | - Xiaoli Lin
- Laboratory for Synaptic Plasticity, Shantou University Medical College, 515041, Shantou, Guangdong, China
| | - Yao Tian
- Chern Institute of Mathematics, Nankai University, 300071, Tianjin, China
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21
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Blaess S, Krabbe S. Cell type specificity for circuit output in the midbrain dopaminergic system. Curr Opin Neurobiol 2023; 83:102811. [PMID: 37972537 DOI: 10.1016/j.conb.2023.102811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 09/14/2023] [Accepted: 10/19/2023] [Indexed: 11/19/2023]
Abstract
Midbrain dopaminergic neurons are a relatively small group of neurons in the mammalian brain controlling a wide range of behaviors. In recent years, increasingly sophisticated tracing, imaging, transcriptomic, and machine learning approaches have provided substantial insights into the anatomical, molecular, and functional heterogeneity of dopaminergic neurons. Despite this wealth of new knowledge, it remains unclear whether and how the diverse features defining dopaminergic subclasses converge to delineate functional ensembles within the dopaminergic system. Here, we review recent studies investigating various aspects of dopaminergic heterogeneity and discuss how development, behavior, and disease influence subtype characteristics. We then outline what further approaches could be pursued to gain a more inclusive picture of dopaminergic diversity, which could be crucial to understanding the functional architecture of this system.
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Affiliation(s)
- Sandra Blaess
- Neurodevelopmental Genetics, Institute of Reconstructive Neurobiology, Medical Faculty, University of Bonn, 53127 Bonn, Germany.
| | - Sabine Krabbe
- German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany.
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22
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Serra GP, Guillaumin A, Vlcek B, Delgado-Zabalza L, Ricci A, Rubino E, Dumas S, Baufreton J, Georges F, Wallén-Mackenzie Å. A role for the subthalamic nucleus in aversive learning. Cell Rep 2023; 42:113328. [PMID: 37925641 DOI: 10.1016/j.celrep.2023.113328] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 07/28/2023] [Accepted: 10/08/2023] [Indexed: 11/07/2023] Open
Abstract
The subthalamic nucleus (STN) is critical for behavioral control; its dysregulation consequently correlated with neurological and neuropsychiatric disorders, including Parkinson's disease. Deep brain stimulation (DBS) targeting the STN successfully alleviates parkinsonian motor symptoms. However, low mood and depression are affective side effects. STN is adjoined with para-STN, associated with appetitive and aversive behavior. DBS aimed at STN might unintentionally modulate para-STN, causing aversion. Alternatively, the STN mediates aversion. To investigate causality between STN and aversion, affective behavior is addressed using optogenetics in mice. Selective promoters allow dissociation of STN (e.g., Pitx2) vs. para-STN (Tac1). Acute photostimulation results in aversion via both STN and para-STN. However, only STN stimulation-paired cues cause conditioned avoidance and only STN stimulation interrupts on-going sugar self-administration. Electrophysiological recordings identify post-synaptic responses in pallidal neurons, and selective photostimulation of STN terminals in the ventral pallidum replicates STN-induced aversion. Identifying STN as a source of aversive learning contributes neurobiological underpinnings to emotional affect.
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Affiliation(s)
- Gian Pietro Serra
- Uppsala University, Department of Organism Biology, 752 36 Uppsala, Sweden
| | - Adriane Guillaumin
- Uppsala University, Department of Organism Biology, 752 36 Uppsala, Sweden; University of Bordeaux, CNRS, IMN, UMR 5293, 33000 Bordeaux, France
| | - Bianca Vlcek
- Uppsala University, Department of Organism Biology, 752 36 Uppsala, Sweden
| | | | - Alessia Ricci
- Uppsala University, Department of Organism Biology, 752 36 Uppsala, Sweden
| | - Eleonora Rubino
- Uppsala University, Department of Organism Biology, 752 36 Uppsala, Sweden
| | | | - Jérôme Baufreton
- University of Bordeaux, CNRS, IMN, UMR 5293, 33000 Bordeaux, France
| | - François Georges
- University of Bordeaux, CNRS, IMN, UMR 5293, 33000 Bordeaux, France
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23
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Vu MAT, Brown EH, Wen MJ, Noggle CA, Zhang Z, Monk KJ, Bouabid S, Mroz L, Graham BM, Zhuo Y, Li Y, Otchy TM, Tian L, Davison IG, Boas DA, Howe MW. Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior. bioRxiv 2023:2023.11.17.567425. [PMID: 38014018 PMCID: PMC10680831 DOI: 10.1101/2023.11.17.567425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Neural population dynamics relevant for behavior vary over multiple spatial and temporal scales across 3-dimensional volumes. Current optical approaches lack the spatial coverage and resolution necessary to measure and manipulate naturally occurring patterns of large-scale, distributed dynamics within and across deep brain regions such as the striatum. We designed a new micro-fiber array and imaging approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice. We developed a semi-automated micro-CT based strategy to precisely localize positions of each optical fiber. This highly-customizable approach enables investigation of multi-scale spatial and temporal patterns of cell-type and neurotransmitter specific signals over arbitrary 3-D volumes at a spatial resolution and coverage previously inaccessible. We applied this method to resolve rapid dopamine release dynamics across the striatum volume which revealed distinct, modality specific spatiotemporal patterns in response to salient sensory stimuli extending over millimeters of tissue. Targeted optogenetics through our fiber arrays enabled flexible control of neural signaling on multiple spatial scales, better matching endogenous signaling patterns, and spatial localization of behavioral function across large circuits.
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Affiliation(s)
- Mai-Anh T. Vu
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Eleanor H. Brown
- Graduate Program for Neuroscience, Boston University, Boston, MA, USA
| | - Michelle J. Wen
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
- Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Christian A. Noggle
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Zicheng Zhang
- Department of Biology, Boston University, Boston, MA, USA
| | - Kevin J. Monk
- Department of Biology, Boston University, Boston, MA, USA
| | - Safa Bouabid
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Lydia Mroz
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
- Northeastern University, Boston, MA, USA
| | - Benjamin M. Graham
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Yizhou Zhuo
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China
- PKU-IDG/McGovern Institute for Brain Research, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Beijing, China
| | - Yulong Li
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China
- PKU-IDG/McGovern Institute for Brain Research, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Beijing, China
| | | | - Lin Tian
- Department of Biochemistry and Molecular Medicine, University of California, Davis, CA
| | - Ian G. Davison
- Department of Biology, Boston University, Boston, MA, USA
| | - David A. Boas
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Mark W. Howe
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
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24
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Ramarao M, Jones C, Goldberg JH, Roeser A. Songbird mesostriatal dopamine pathways are spatially segregated before the onset of vocal learning. PLoS One 2023; 18:e0285652. [PMID: 37972016 PMCID: PMC10653429 DOI: 10.1371/journal.pone.0285652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 10/23/2023] [Indexed: 11/19/2023] Open
Abstract
Diverse dopamine (DA) pathways send distinct reinforcement signals to different striatal regions. In adult songbirds, a DA pathway from the ventral tegmental area (VTA) to Area X, the striatal nucleus of the song system, carries singing-related performance error signals important for learning. Meanwhile, a parallel DA pathway to a medial striatal area (MST) arises from a distinct group of neighboring DA neurons that lack connectivity to song circuits and do not encode song error. To test if the structural and functional segregation of these two pathways depends on singing experience, we carried out anatomical studies early in development before the onset of song learning. We find that distinct VTA neurons project to either Area X or MST in juvenile birds before the onset of substantial vocal practice. Quantitative comparisons of early juveniles (30-35 days post hatch), late juveniles (60-65 dph), and adult (>90 dph) brains revealed an outsized expansion of Area X-projecting neurons relative to MST-projecting neurons in VTA over development. These results show that a mesostriatal DA system dedicated to social communication can exist and be spatially segregated before the onset of vocal practice and associated sensorimotor experience.
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Affiliation(s)
- Malavika Ramarao
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, United States of America
| | - Caleb Jones
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, United States of America
| | - Jesse H. Goldberg
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, United States of America
| | - Andrea Roeser
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, United States of America
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25
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Masset P, Tano P, Kim HR, Malik AN, Pouget A, Uchida N. Multi-timescale reinforcement learning in the brain. bioRxiv 2023:2023.11.12.566754. [PMID: 38014166 PMCID: PMC10680596 DOI: 10.1101/2023.11.12.566754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
To thrive in complex environments, animals and artificial agents must learn to act adaptively to maximize fitness and rewards. Such adaptive behavior can be learned through reinforcement learning1, a class of algorithms that has been successful at training artificial agents2-6 and at characterizing the firing of dopamine neurons in the midbrain7-9. In classical reinforcement learning, agents discount future rewards exponentially according to a single time scale, controlled by the discount factor. Here, we explore the presence of multiple timescales in biological reinforcement learning. We first show that reinforcement agents learning at a multitude of timescales possess distinct computational benefits. Next, we report that dopamine neurons in mice performing two behavioral tasks encode reward prediction error with a diversity of discount time constants. Our model explains the heterogeneity of temporal discounting in both cue-evoked transient responses and slower timescale fluctuations known as dopamine ramps. Crucially, the measured discount factor of individual neurons is correlated across the two tasks suggesting that it is a cell-specific property. Together, our results provide a new paradigm to understand functional heterogeneity in dopamine neurons, a mechanistic basis for the empirical observation that humans and animals use non-exponential discounts in many situations10-14, and open new avenues for the design of more efficient reinforcement learning algorithms.
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Affiliation(s)
- Paul Masset
- Department of Molecular and Cellular Biology, Harvard University, USA
- Center for Brain Science, Harvard University, USA
| | - Pablo Tano
- Department of Basic Neuroscience, University of Geneva, Switzerland
| | - HyungGoo R. Kim
- Department of Molecular and Cellular Biology, Harvard University, USA
- Center for Brain Science, Harvard University, USA
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
| | - Athar N. Malik
- Department of Molecular and Cellular Biology, Harvard University, USA
- Center for Brain Science, Harvard University, USA
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, USA
- Norman Prince Neurosciences Institute, Rhode Island Hospital, USA
| | - Alexandre Pouget
- Department of Basic Neuroscience, University of Geneva, Switzerland
| | - Naoshige Uchida
- Department of Molecular and Cellular Biology, Harvard University, USA
- Center for Brain Science, Harvard University, USA
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26
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Chen APF, Chen L, Shi KW, Cheng E, Ge S, Xiong Q. Nigrostriatal dopamine modulates the striatal-amygdala pathway in auditory fear conditioning. Nat Commun 2023; 14:7231. [PMID: 37945595 PMCID: PMC10636191 DOI: 10.1038/s41467-023-43066-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023] Open
Abstract
The auditory striatum, a sensory portion of the dorsal striatum, plays an essential role in learning and memory. In contrast to its roles and underlying mechanisms in operant conditioning, however, little is known about its contribution to classical auditory fear conditioning. Here, we reveal the function of the auditory striatum in auditory-conditioned fear memory. We find that optogenetically inhibiting auditory striatal neurons impairs fear memory formation, which is mediated through the striatal-amygdala pathway. Using calcium imaging in behaving mice, we find that auditory striatal neuronal responses to conditioned tones potentiate across memory acquisition and expression. Furthermore, nigrostriatal dopaminergic projections plays an important role in modulating conditioning-induced striatal potentiation. Together, these findings demonstrate the existence of a nigro-striatal-amygdala circuit for conditioned fear memory formation and expression.
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Affiliation(s)
- Allen P F Chen
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA
- Medical Scientist Training Program, Renaissance School of Medicine at SUNY Stony Brook, Stony Brook, NY, 11794, USA
| | - Lu Chen
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA
| | - Kaiyo W Shi
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA
| | - Eileen Cheng
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA
- Department of Physiology and Biophysics, SUNY Stony Brook, Stony Brook, NY, 11794, USA
| | - Shaoyu Ge
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA
| | - Qiaojie Xiong
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA.
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27
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Reinhold K, Iadarola M, Tang S, Kuwamoto W, Sun S, Hakim R, Zimmer J, Wang W, Sabatini BL. Striatum supports fast learning but not memory recall. bioRxiv 2023:2023.11.08.566333. [PMID: 37986941 PMCID: PMC10659398 DOI: 10.1101/2023.11.08.566333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Animals learn to carry out motor actions in specific sensory contexts to achieve goals. The striatum has been implicated in producing sensory-motor associations, yet its contribution to memory formation or recall is not clear. To investigate the contribution of striatum to these processes, mice were taught to associate a cue, consisting of optogenetic activation of striatum-projecting neurons in visual cortex, with forelimb reaches to access food pellets. As necessary to direct learning, striatal neural activity encoded both the sensory context and outcome of reaching. With training, the rate of cued reaching increased, but brief optogenetic inhibition of striatal activity arrested learning and prevented trial-to-trial improvements in performance. However, the same manipulation did not affect performance improvements already consolidated into short- (within an hour) or long-term (across days) memories. Hence, striatal activity is necessary for trial-to-trial improvements in task performance, leading to plasticity in other brain areas that mediate memory recall.
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28
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Roeser A, Gadagkar V, Das A, Puzerey PA, Kardon B, Goldberg JH. Dopaminergic error signals retune to social feedback during courtship. Nature 2023; 623:375-380. [PMID: 37758948 DOI: 10.1038/s41586-023-06580-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Accepted: 08/30/2023] [Indexed: 09/29/2023]
Abstract
Hunger, thirst, loneliness and ambition determine the reward value of food, water, social interaction and performance outcome1. Dopamine neurons respond to rewards meeting these diverse needs2-8, but it remains unclear how behaviour and dopamine signals change as priorities change with new opportunities in the environment. One possibility is that dopamine signals for distinct drives are routed to distinct dopamine pathways9,10. Another possibility is that dopamine signals in a given pathway are dynamically tuned to rewards set by the current priority. Here we used electrophysiology and fibre photometry to test how dopamine signals associated with quenching thirst, singing a good song and courting a mate change as male zebra finches (Taeniopygia guttata) were provided with opportunities to retrieve water, evaluate song performance or court a female. When alone, water reward signals were observed in two mesostriatal pathways but singing-related performance error signals were routed to Area X, a striatal nucleus specialized for singing. When courting a female, water seeking was reduced and dopamine responses to both water and song performance outcomes diminished. Instead, dopamine signals in Area X were driven by female calls timed with the courtship song. Thus the dopamine system handled coexisting drives by routing vocal performance and social feedback signals to a striatal area for communication and by flexibly re-tuning to rewards set by the prioritized drive.
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Affiliation(s)
- Andrea Roeser
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
| | - Vikram Gadagkar
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA.
- Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
| | - Anindita Das
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
| | - Pavel A Puzerey
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
| | - Brian Kardon
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
| | - Jesse H Goldberg
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA.
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29
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Wang Y, You L, Tan K, Li M, Zou J, Zhao Z, Hu W, Li T, Xie F, Li C, Yuan R, Ding K, Cao L, Xin F, Shang C, Liu M, Gao Y, Wei L, You Z, Gao X, Xiong W, Cao P, Luo M, Chen F, Li K, Wu J, Hong B, Yuan K. A common thalamic hub for general and defensive arousal control. Neuron 2023; 111:3270-3287.e8. [PMID: 37557180 DOI: 10.1016/j.neuron.2023.07.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/25/2023] [Accepted: 07/11/2023] [Indexed: 08/11/2023]
Abstract
The expression of defensive responses to alerting sensory cues requires both general arousal and a specific arousal state associated with defensive emotions. However, it remains unclear whether these two forms of arousal can be regulated by common brain regions. We discovered that the medial sector of the auditory thalamus (ATm) in mice is a thalamic hub controlling both general and defensive arousal. The spontaneous activity of VGluT2-expressing ATm (ATmVGluT2+) neurons was correlated with and causally contributed to wakefulness. In sleeping mice, sustained ATmVGluT2+ population responses were predictive of sensory-induced arousal, the likelihood of which was markedly decreased by inhibiting ATmVGluT2+ neurons or multiple downstream pathways. In awake mice, ATmVGluT2+ activation led to heightened arousal accompanied by excessive anxiety and avoidance behavior. Notably, blocking their neurotransmission abolished alerting stimuli-induced defensive behaviors. These findings may shed light on the comorbidity of sleep disturbances and abnormal sensory sensitivity in specific brain disorders.
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Affiliation(s)
- Yiwei Wang
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Ling You
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - KaMun Tan
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Meijie Li
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Jingshan Zou
- Hospital of Chengdu University of Traditional Chinese Medicine, Traditional Chinese Medicine Hospital of Sichuan Province, Chengdu 610036, China
| | - Zhifeng Zhao
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; Department of Automation, Tsinghua University, Beijing 100084, China
| | - Wenxin Hu
- School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
| | - Tianyu Li
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Fenghua Xie
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua Laboratory of Brain and Intelligence (THBI), Beijing 100084, China
| | - Caiqin Li
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Ruizhi Yuan
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Kai Ding
- Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
| | - Lingwei Cao
- Zhili College, Tsinghua University, Beijing 100084, China
| | - Fengyuan Xin
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Congping Shang
- National Institute of Biological Sciences (NIBS), Beijing 102206, China
| | - Miaomiao Liu
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; Laboratory Animal Resources Center, Tsinghua University, Beijing 100084, China
| | - Yixiao Gao
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Joint Center for Life Sciences, Beijing 100084, China
| | - Liqiang Wei
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Joint Center for Life Sciences, Beijing 100084, China
| | - Zhiwei You
- Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Joint Center for Life Sciences, Beijing 100084, China; Laboratory of Dynamic Immunobiology, Institute for Immunology, Tsinghua University, Beijing 100084, China
| | - Xiaorong Gao
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; Tsinghua Laboratory of Brain and Intelligence (THBI), Beijing 100084, China
| | - Wei Xiong
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Chinese Institute for Brain Research, Beijing 102206, China
| | - Peng Cao
- National Institute of Biological Sciences (NIBS), Beijing 102206, China
| | - Minmin Luo
- National Institute of Biological Sciences (NIBS), Beijing 102206, China; Chinese Institute for Brain Research, Beijing 102206, China
| | - Feng Chen
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Kun Li
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Joint Center for Life Sciences, Beijing 100084, China
| | - Jiamin Wu
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; Department of Automation, Tsinghua University, Beijing 100084, China
| | - Bo Hong
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua Laboratory of Brain and Intelligence (THBI), Beijing 100084, China.
| | - Kexin Yuan
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; Tsinghua Laboratory of Brain and Intelligence (THBI), Beijing 100084, China.
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30
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Du Y, Zhou S, Ma C, Chen H, Du A, Deng G, Liu Y, Tose AJ, Sun L, Liu Y, Wu H, Lou H, Yu YQ, Zhao T, Lammel S, Duan S, Yang H. Dopamine release and negative valence gated by inhibitory neurons in the laterodorsal tegmental nucleus. Neuron 2023; 111:3102-3118.e7. [PMID: 37499661 DOI: 10.1016/j.neuron.2023.06.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 03/25/2023] [Accepted: 06/22/2023] [Indexed: 07/29/2023]
Abstract
GABAergic neurons in the laterodorsal tegmental nucleus (LDTGABA) encode aversion by directly inhibiting mesolimbic dopamine (DA). Yet, the detailed cellular and circuit mechanisms by which these cells relay unpleasant stimuli to DA neurons and regulate behavioral output remain largely unclear. Here, we show that LDTGABA neurons bidirectionally respond to rewarding and aversive stimuli in mice. Activation of LDTGABA neurons promotes aversion and reduces DA release in the lateral nucleus accumbens. Furthermore, we identified two molecularly distinct LDTGABA cell populations. Somatostatin-expressing (Sst+) LDTGABA neurons indirectly regulate the mesolimbic DA system by disinhibiting excitatory hypothalamic neurons. In contrast, Reelin-expressing LDTGABA neurons directly inhibit downstream DA neurons. The identification of separate GABAergic subpopulations in a single brainstem nucleus that relay unpleasant stimuli to the mesolimbic DA system through direct and indirect projections is critical for establishing a circuit-level understanding of how negative valence is encoded in the mammalian brain.
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Affiliation(s)
- Yonglan Du
- Department of Affiliated Mental Health Center of Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Siyao Zhou
- Department of Affiliated Mental Health Center of Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Chenyan Ma
- Division of Neurobiology, Department of Molecular and Cell Biology and Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Hui Chen
- Department of Affiliated Mental Health Center of Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Ana Du
- Department of Affiliated Mental Health Center of Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Guochuang Deng
- Department of Affiliated Mental Health Center of Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Yige Liu
- NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China; College of Forensic Science, School of Medicine, Xi'an Jiaotong University, No.76, Yanta West Road, Xi'an, Shaanxi 710061, China
| | - Amanda J Tose
- Division of Neurobiology, Department of Molecular and Cell Biology and Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Li Sun
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Yijun Liu
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Hangjun Wu
- Department of Pathology of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China; Center of Cryo-Electron Microscopy, Zhejiang University, Hangzhou 310058, China
| | - Huifang Lou
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Yan-Qin Yu
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Ting Zhao
- PKU-Nanjing Joint Institute of Translational Medicine, Nanjing 211800, China
| | - Stephan Lammel
- Division of Neurobiology, Department of Molecular and Cell Biology and Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
| | - Shumin Duan
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China
| | - Hongbin Yang
- Department of Affiliated Mental Health Center of Hangzhou Seventh People's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou 310058, China.
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31
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Bech P, Crochet S, Dard R, Ghaderi P, Liu Y, Malekzadeh M, Petersen CCH, Pulin M, Renard A, Sourmpis C. Striatal Dopamine Signals and Reward Learning. Function (Oxf) 2023; 4:zqad056. [PMID: 37841525 PMCID: PMC10572094 DOI: 10.1093/function/zqad056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 10/17/2023] Open
Abstract
We are constantly bombarded by sensory information and constantly making decisions on how to act. In order to optimally adapt behavior, we must judge which sequences of sensory inputs and actions lead to successful outcomes in specific circumstances. Neuronal circuits of the basal ganglia have been strongly implicated in action selection, as well as the learning and execution of goal-directed behaviors, with accumulating evidence supporting the hypothesis that midbrain dopamine neurons might encode a reward signal useful for learning. Here, we review evidence suggesting that midbrain dopaminergic neurons signal reward prediction error, driving synaptic plasticity in the striatum underlying learning. We focus on phasic increases in action potential firing of midbrain dopamine neurons in response to unexpected rewards. These dopamine neurons prominently innervate the dorsal and ventral striatum. In the striatum, the released dopamine binds to dopamine receptors, where it regulates the plasticity of glutamatergic synapses. The increase of striatal dopamine accompanying an unexpected reward activates dopamine type 1 receptors (D1Rs) initiating a signaling cascade that promotes long-term potentiation of recently active glutamatergic input onto striatonigral neurons. Sensorimotor-evoked glutamatergic input, which is active immediately before reward delivery will thus be strengthened onto neurons in the striatum expressing D1Rs. In turn, these neurons cause disinhibition of brainstem motor centers and disinhibition of the motor thalamus, thus promoting motor output to reinforce rewarded stimulus-action outcomes. Although many details of the hypothesis need further investigation, altogether, it seems likely that dopamine signals in the striatum might underlie important aspects of goal-directed reward-based learning.
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Affiliation(s)
- Pol Bech
- Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Sylvain Crochet
- Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Robin Dard
- Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Parviz Ghaderi
- Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Yanqi Liu
- Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Meriam Malekzadeh
- Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Carl C H Petersen
- Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Mauro Pulin
- Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Anthony Renard
- Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Christos Sourmpis
- Laboratory of Sensory Processing, Brain Mind Institute, Faculty of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
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Azcorra M, Gaertner Z, Davidson C, He Q, Kim H, Nagappan S, Hayes CK, Ramakrishnan C, Fenno L, Kim YS, Deisseroth K, Longnecker R, Awatramani R, Dombeck DA. Unique functional responses differentially map onto genetic subtypes of dopamine neurons. Nat Neurosci 2023; 26:1762-1774. [PMID: 37537242 PMCID: PMC10545540 DOI: 10.1038/s41593-023-01401-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 07/05/2023] [Indexed: 08/05/2023]
Abstract
Dopamine neurons are characterized by their response to unexpected rewards, but they also fire during movement and aversive stimuli. Dopamine neuron diversity has been observed based on molecular expression profiles; however, whether different functions map onto such genetic subtypes remains unclear. In this study, we established that three genetic dopamine neuron subtypes within the substantia nigra pars compacta, characterized by the expression of Slc17a6 (Vglut2), Calb1 and Anxa1, each have a unique set of responses to rewards, aversive stimuli and accelerations and decelerations, and these signaling patterns are highly correlated between somas and axons within subtypes. Remarkably, reward responses were almost entirely absent in the Anxa1+ subtype, which instead displayed acceleration-correlated signaling. Our findings establish a connection between functional and genetic dopamine neuron subtypes and demonstrate that molecular expression patterns can serve as a common framework to dissect dopaminergic functions.
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Affiliation(s)
- Maite Azcorra
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
- Department of Neurology, Northwestern University, Chicago, IL, USA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Zachary Gaertner
- Department of Neurology, Northwestern University, Chicago, IL, USA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Connor Davidson
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Qianzi He
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Hailey Kim
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
| | - Shivathmihai Nagappan
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Cooper K Hayes
- Department of Microbiology and Immunology, Northwestern University, Chicago, IL, USA
| | - Charu Ramakrishnan
- Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA
| | - Lief Fenno
- Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA
- Departments of Neuroscience & Psychiatry, The University of Texas at Austin, Austin, TX, USA
| | - Yoon Seok Kim
- Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA
| | - Richard Longnecker
- Department of Microbiology and Immunology, Northwestern University, Chicago, IL, USA
| | - Rajeshwar Awatramani
- Department of Neurology, Northwestern University, Chicago, IL, USA.
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA.
| | - Daniel A Dombeck
- Department of Neurobiology, Northwestern University, Evanston, IL, USA.
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA.
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Lloyd K, Dayan P. Reframing dopamine: A controlled controller at the limbic-motor interface. PLoS Comput Biol 2023; 19:e1011569. [PMID: 37847681 PMCID: PMC10610519 DOI: 10.1371/journal.pcbi.1011569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 10/27/2023] [Accepted: 10/03/2023] [Indexed: 10/19/2023] Open
Abstract
Pavlovian influences notoriously interfere with operant behaviour. Evidence suggests this interference sometimes coincides with the release of the neuromodulator dopamine in the nucleus accumbens. Suppressing such interference is one of the targets of cognitive control. Here, using the examples of active avoidance and omission behaviour, we examine the possibility that direct manipulation of the dopamine signal is an instrument of control itself. In particular, when instrumental and Pavlovian influences come into conflict, dopamine levels might be affected by the controlled deployment of a reframing mechanism that recasts the prospect of possible punishment as an opportunity to approach safety, and the prospect of future reward in terms of a possible loss of that reward. We operationalize this reframing mechanism and fit the resulting model to rodent behaviour from two paradigmatic experiments in which accumbens dopamine release was also measured. We show that in addition to matching animals' behaviour, the model predicts dopamine transients that capture some key features of observed dopamine release at the time of discriminative cues, supporting the idea that modulation of this neuromodulator is amongst the repertoire of cognitive control strategies.
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Affiliation(s)
- Kevin Lloyd
- Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Peter Dayan
- Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- University of Tübingen, Tübingen, Germany
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34
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Lee K, An SY, Park J, Lee S, Kim HF. Anatomical and Functional Comparison of the Caudate Tail in Primates and the Tail of the Striatum in Rodents: Implications for Sensory Information Processing and Habitual Behavior. Mol Cells 2023; 46:461-469. [PMID: 37455248 PMCID: PMC10440267 DOI: 10.14348/molcells.2023.0051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/13/2023] [Accepted: 05/26/2023] [Indexed: 07/18/2023] Open
Abstract
The tail of the striatum (TS) is located at the caudal end in the striatum. Recent studies have advanced our knowledge of the anatomy and function of the TS but also raised questions about the differences between rodent and primate TS. In this review, we compare the anatomy and function of the TS in rodent and primate brains. The primate TS is expanded more caudally during brain development in comparison with the rodent TS. Additionally, five sensory inputs from the cortex and thalamus converge in the rodent TS, but this convergence is not observed in the primate TS. The primate TS, including the caudate tail and putamen tail, primarily receives inputs from the visual areas, implying a specialized function in processing visual inputs for action generation. This anatomical difference leads to further discussion of cellular circuit models to comprehend how the primate brain processes a wider range of complex visual stimuli to produce habitual behavior as compared with the rodent brain. Examining these differences and considering possible neural models may provide better understanding of the anatomy and function of the primate TS.
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Affiliation(s)
- Keonwoo Lee
- Cognitive Circuitry Laboratory (CoCiLa), School of Biological Sciences, Seoul National University, Seoul 08826, Korea
| | - Shin-young An
- Cognitive Circuitry Laboratory (CoCiLa), School of Biological Sciences, Seoul National University, Seoul 08826, Korea
| | - Jun Park
- Cognitive Circuitry Laboratory (CoCiLa), School of Biological Sciences, Seoul National University, Seoul 08826, Korea
| | - Seoyeon Lee
- Cognitive Circuitry Laboratory (CoCiLa), School of Biological Sciences, Seoul National University, Seoul 08826, Korea
| | - Hyoung F. Kim
- Cognitive Circuitry Laboratory (CoCiLa), School of Biological Sciences, Seoul National University, Seoul 08826, Korea
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Brockway DF, Griffith KR, Aloimonos CM, Clarity TT, Moyer JB, Smith GC, Dao NC, Hossain MS, Drew PJ, Gordon JA, Kupferschmidt DA, Crowley NA. Somatostatin peptide signaling dampens cortical circuits and promotes exploratory behavior. Cell Rep 2023; 42:112976. [PMID: 37590138 PMCID: PMC10542913 DOI: 10.1016/j.celrep.2023.112976] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 05/31/2023] [Accepted: 07/29/2023] [Indexed: 08/19/2023] Open
Abstract
We sought to characterize the unique role of somatostatin (SST) in the prelimbic (PL) cortex in mice. We performed slice electrophysiology in pyramidal and GABAergic neurons to characterize the pharmacological mechanism of SST signaling and fiber photometry of GCaMP6f fluorescent calcium signals from SST neurons to characterize the activity profile of SST neurons during exploration of an elevated plus maze (EPM) and open field test (OFT). We used local delivery of a broad SST receptor (SSTR) agonist and antagonist to test causal effects of SST signaling. SSTR activation hyperpolarizes layer 2/3 pyramidal neurons, an effect that is recapitulated with optogenetic stimulation of SST neurons. SST neurons in PL are activated during EPM and OFT exploration, and SSTR agonist administration directly into the PL enhances open arm exploration in the EPM. This work describes a broad ability for SST peptide signaling to modulate microcircuits within the prefrontal cortex and related exploratory behaviors.
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Affiliation(s)
- Dakota F Brockway
- Neuroscience Graduate Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA; Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Keith R Griffith
- Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Chloe M Aloimonos
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Thomas T Clarity
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - J Brody Moyer
- Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Grace C Smith
- Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA; Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA
| | - Nigel C Dao
- Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Md Shakhawat Hossain
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA; Center for Neural Engineering, The Pennsylvania State University, University Park, PA 16802, USA
| | - Patrick J Drew
- Neuroscience Graduate Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA; Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA; Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA; Center for Neural Engineering, The Pennsylvania State University, University Park, PA 16802, USA; Departments of Engineering Science and Mechanics and Neurosurgery, The Pennsylvania State University, University Park, PA 16802, USA
| | - Joshua A Gordon
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA; Office of the Director, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
| | - David A Kupferschmidt
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Nicole A Crowley
- Neuroscience Graduate Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA; Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA; Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA; Center for Neural Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
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Kutlu MG, Tat J, Christensen BA, Zachry JE, Calipari ES. Dopamine release at the time of a predicted aversive outcome causally controls the trajectory and expression of conditioned behavior. Cell Rep 2023; 42:112948. [PMID: 37543945 PMCID: PMC10528296 DOI: 10.1016/j.celrep.2023.112948] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 04/27/2023] [Accepted: 07/20/2023] [Indexed: 08/08/2023] Open
Abstract
Dopamine release in the nucleus accumbens (NAc) is causally linked to adaptive aversive learning, and its dysregulation is a core phenotype in anxiety and stress disorders. Here, we record NAc core dopamine during a task where mice learn to discriminate between cues signaling two types of outcomes: (1) footshock presentation and (2) footshock omission. We show that dopamine release is evoked by footshock omission. This dopamine response is largest when the omission is unexpected and decreases over learning, and artificially increasing this signal disrupts discrimination learning. Conversely, optogenetic inhibition of dopamine responses to the footshock itself impairs learning. Finally, theory-driven computational modeling suggests that these effects can be explained by dopamine signaling the perceived saliency of predicted aversive events. Together, we elucidate the role of NAc dopamine in aversive learning and offer potential avenues for understanding the neural mechanisms involved in anxiety and stress disorders.
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Affiliation(s)
- Munir Gunes Kutlu
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA
| | - Jennifer Tat
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA
| | | | - Jennifer E Zachry
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA
| | - Erin S Calipari
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA; Department of Psychiatry and Behavioral Sciences, Vanderbilt University, Nashville, TN 37232, USA.
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37
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Sato R, Shimomura K, Morita K. Opponent learning with different representations in the cortico-basal ganglia pathways can develop obsession-compulsion cycle. PLoS Comput Biol 2023; 19:e1011206. [PMID: 37319256 PMCID: PMC10306209 DOI: 10.1371/journal.pcbi.1011206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 05/23/2023] [Indexed: 06/17/2023] Open
Abstract
Obsessive-compulsive disorder (OCD) has been suggested to be associated with impairment of model-based behavioral control. Meanwhile, recent work suggested shorter memory trace for negative than positive prediction errors (PEs) in OCD. We explored relations between these two suggestions through computational modeling. Based on the properties of cortico-basal ganglia pathways, we modeled human as an agent having a combination of successor representation (SR)-based system that enables model-based-like control and individual representation (IR)-based system that only hosts model-free control, with the two systems potentially learning from positive and negative PEs in different rates. We simulated the agent's behavior in the environmental model used in the recent work that describes potential development of obsession-compulsion cycle. We found that the dual-system agent could develop enhanced obsession-compulsion cycle, similarly to the agent having memory trace imbalance in the recent work, if the SR- and IR-based systems learned mainly from positive and negative PEs, respectively. We then simulated the behavior of such an opponent SR+IR agent in the two-stage decision task, in comparison with the agent having only SR-based control. Fitting of the agents' behavior by the model weighing model-based and model-free control developed in the original two-stage task study resulted in smaller weights of model-based control for the opponent SR+IR agent than for the SR-only agent. These results reconcile the previous suggestions about OCD, i.e., impaired model-based control and memory trace imbalance, raising a novel possibility that opponent learning in model(SR)-based and model-free controllers underlies obsession-compulsion. Our model cannot explain the behavior of OCD patients in punishment, rather than reward, contexts, but it could be resolved if opponent SR+IR learning operates also in the recently revealed non-canonical cortico-basal ganglia-dopamine circuit for threat/aversiveness, rather than reward, reinforcement learning, and the aversive SR + appetitive IR agent could actually develop obsession-compulsion if the environment is modeled differently.
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Affiliation(s)
- Reo Sato
- Physical and Health Education, Graduate School of Education, The University of Tokyo, Tokyo, Japan
| | - Kanji Shimomura
- Physical and Health Education, Graduate School of Education, The University of Tokyo, Tokyo, Japan
| | - Kenji Morita
- Physical and Health Education, Graduate School of Education, The University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan
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38
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Fraser KM, Pribut HJ, Janak PH, Keiflin R. From Prediction to Action: Dissociable Roles of Ventral Tegmental Area and Substantia Nigra Dopamine Neurons in Instrumental Reinforcement. J Neurosci 2023; 43:3895-3908. [PMID: 37185097 PMCID: PMC10217998 DOI: 10.1523/jneurosci.0028-23.2023] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 04/06/2023] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
Reward seeking requires the coordination of motor programs to achieve goals. Midbrain dopamine neurons are critical for reinforcement, and their activation is sufficient for learning about cues, actions, and outcomes. Here we examine in detail the mechanisms underlying the ability of ventral tegmental area (VTA) and substantia nigra (SNc) dopamine neurons to support instrumental learning. By exploiting numerous behavioral tasks in combination with time-limited optogenetic manipulations in male and female rats, we reveal that VTA and SNc dopamine neurons generate reinforcement through separable psychological processes. VTA dopamine neurons imbue actions and their associated cues with motivational value that allows flexible and persistent pursuit, whereas SNc dopamine neurons support time-limited, precise, action-specific learning that is nonscalable and inflexible. This architecture is reminiscent of actor-critic reinforcement learning models with VTA and SNc instructing the critic and actor, respectively. Our findings indicate that heterogeneous dopamine systems support unique forms of instrumental learning that ultimately result in disparate reward-seeking strategies.SIGNIFICANCE STATEMENT Dopamine neurons in the midbrain are essential for learning, motivation, and movement. Here we describe in detail the ability of VTA and SNc dopamine neurons to generate instrumental reinforcement, a process where an agent learns about actions they can emit to earn reward. While rats will avidly work and learn to respond for activation of VTA and SNc dopamine neurons, we find that only VTA dopamine neurons imbue actions and their associated cues with motivational value that spur continued pursuit of reward. Our data support a hypothesis that VTA and SNc dopamine neurons engage distinct psychological processes that have consequences for our understanding of these neurons in health and disease.
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Affiliation(s)
- Kurt M Fraser
- Department of Psychological & Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, Maryland 21218
| | - Heather J Pribut
- Department of Psychological & Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, Maryland 21218
| | - Patricia H Janak
- Department of Psychological & Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, Maryland 21218
- The Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205
- Kavli Neuroscience Discovery Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205
| | - Ronald Keiflin
- Department of Psychological & Brain Sciences, University of California, Santa Barbara, Santa Barbara, California 93106
- Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, California, 93106
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Choi K, Piasini E, Díaz-Hernández E, Cifuentes LV, Henderson NT, Holly EN, Subramaniyan M, Gerfen CR, Fuccillo MV. Distributed processing for value-based choice by prelimbic circuits targeting anterior-posterior dorsal striatal subregions in male mice. Nat Commun 2023; 14:1920. [PMID: 37024449 PMCID: PMC10079960 DOI: 10.1038/s41467-023-36795-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 02/17/2023] [Indexed: 04/08/2023] Open
Abstract
Fronto-striatal circuits have been implicated in cognitive control of behavioral output for social and appetitive rewards. The functional diversity of prefrontal cortical populations is strongly dependent on their synaptic targets, with control of motor output mediated by connectivity to dorsal striatum. Despite evidence for functional diversity along the anterior-posterior striatal axis, it is unclear how distinct fronto-striatal sub-circuits support value-based choice. Here we found segregated prefrontal populations defined by anterior/posterior dorsomedial striatal target. During a feedback-based 2-alternative choice task, single-photon imaging revealed circuit-specific representations of task-relevant information with prelimbic neurons targeting anterior DMS (PL::A-DMS) robustly modulated during choices and negative outcomes, while prelimbic neurons targeting posterior DMS (PL::P-DMS) encoded internal representations of value and positive outcomes contingent on prior choice. Consistent with this distributed coding, optogenetic inhibition of PL::A-DMS circuits strongly impacted choice monitoring and responses to negative outcomes while inhibition of PL::P-DMS impaired task engagement and strategies following positive outcomes. Together our data uncover PL populations engaged in distributed processing for value-based choice.
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Affiliation(s)
- Kyuhyun Choi
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eugenio Piasini
- Computational Neuroscience Initiative, University of Pennsylvania, Philadelphia, PA, USA
- Neural Computation Lab, International School for Advanced Studies (SISSA), Trieste, Italy
| | - Edgar Díaz-Hernández
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Luigim Vargas Cifuentes
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Neuroscience Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nathan T Henderson
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth N Holly
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Manivannan Subramaniyan
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Charles R Gerfen
- Laboratory of Systems Neuroscience, National Institute of Mental Health (NIMH), Bethesda, MD, USA
| | - Marc V Fuccillo
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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40
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Perisse E, Miranda M, Trouche S. Modulation of aversive value coding in the vertebrate and invertebrate brain. Curr Opin Neurobiol 2023; 79:102696. [PMID: 36871400 DOI: 10.1016/j.conb.2023.102696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 03/06/2023]
Abstract
Avoiding potentially dangerous situations is key for the survival of any organism. Throughout life, animals learn to avoid environments, stimuli or actions that can lead to bodily harm. While the neural bases for appetitive learning, evaluation and value-based decision-making have received much attention, recent studies have revealed more complex computations for aversive signals during learning and decision-making than previously thought. Furthermore, previous experience, internal state and systems level appetitive-aversive interactions seem crucial for learning specific aversive value signals and making appropriate choices. The emergence of novel methodologies (computation analysis coupled with large-scale neuronal recordings, neuronal manipulations at unprecedented resolution offered by genetics, viral strategies and connectomics) has helped to provide novel circuit-based models for aversive (and appetitive) valuation. In this review, we focus on recent vertebrate and invertebrate studies yielding strong evidence that aversive value information can be computed by a multitude of interacting brain regions, and that past experience can modulate future aversive learning and therefore influence value-based decisions.
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Affiliation(s)
- Emmanuel Perisse
- Institute of Functional Genomics, University of Montpellier, CNRS, Inserm, 141 rue de la Cardonille, 34094 Montpellier Cedex 5, France.
| | - Magdalena Miranda
- Institute of Functional Genomics, University of Montpellier, CNRS, Inserm, 141 rue de la Cardonille, 34094 Montpellier Cedex 5, France
| | - Stéphanie Trouche
- Institute of Functional Genomics, University of Montpellier, CNRS, Inserm, 141 rue de la Cardonille, 34094 Montpellier Cedex 5, France.
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Lee H, Ciabatti E, González-Rueda A, Williams E, Nugent F, Mookerjee S, Morgese F, Tripodi M. Combining long-term circuit mapping and network transcriptomics with SiR-N2c. Nat Methods 2023; 20:580-589. [PMID: 36864202 PMCID: PMC7614628 DOI: 10.1038/s41592-023-01787-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 01/23/2023] [Indexed: 03/04/2023]
Abstract
An exciting frontier in circuit neuroscience lies at the intersection between neural network mapping and single-cell genomics. Monosynaptic rabies viruses provide a promising platform for the merger of circuit mapping methods with -omics approaches. However, three key limitations have hindered the extraction of physiologically meaningful gene expression profiles from rabies-mapped circuits: inherent viral cytotoxicity, high viral immunogenicity and virus-induced alteration of cellular transcriptional regulation. These factors alter the transcriptional and translational profiles of infected neurons and their neighboring cells. To overcome these limitations we applied a self-inactivating genomic modification to the less immunogenic rabies strain, CVS-N2c, to generate a self-inactivating CVS-N2c rabies virus (SiR-N2c). SiR-N2c not only eliminates undesired cytotoxic effects but also substantially reduces gene expression alterations in infected neurons and dampens the recruitment of innate and acquired immune responses, thus enabling open-ended interventions on neural networks and their genetic characterization using single-cell genomic approaches.
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Affiliation(s)
- Hassal Lee
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Ernesto Ciabatti
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK.
| | | | - Elena Williams
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Fiona Nugent
- IMAXT Laboratory, Cancer Research UK Cambridge Institute, Cambridge, UK
| | | | - Fabio Morgese
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Marco Tripodi
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK.
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42
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Ishino S, Kamada T, Sarpong GA, Kitano J, Tsukasa R, Mukohira H, Sun F, Li Y, Kobayashi K, Naoki H, Oishi N, Ogawa M. Dopamine error signal to actively cope with lack of expected reward. Sci Adv 2023; 9:eade5420. [PMID: 36897945 PMCID: PMC10005178 DOI: 10.1126/sciadv.ade5420] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/06/2023] [Indexed: 06/17/2023]
Abstract
To obtain more of a particular uncertain reward, animals must learn to actively overcome the lack of reward and adjust behavior to obtain it again. The neural mechanisms underlying such coping with reward omission remain unclear. Here, we developed a task in rats to monitor active behavioral switch toward the next reward after no reward. We found that some dopamine neurons in the ventral tegmental area exhibited increased responses to unexpected reward omission and decreased responses to unexpected reward, following the opposite responses of the well-known dopamine neurons that signal reward prediction error (RPE). The dopamine increase reflected in the nucleus accumbens correlated with behavioral adjustment to actively overcome unexpected no reward. We propose that these responses signal error to actively cope with lack of expected reward. The dopamine error signal thus cooperates with the RPE signal, enabling adaptive and robust pursuit of uncertain reward to ultimately obtain more reward.
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Affiliation(s)
- Seiya Ishino
- Medical Innovation Center/SK Project, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
- Department of Neuroscience, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
- Department of Developmental Physiology, National Institute for Physiological Sciences, Okazaki, Aichi 444-8585, Japan
| | - Taisuke Kamada
- Medical Innovation Center/SK Project, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Gideon A. Sarpong
- Medical Innovation Center/SK Project, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Julia Kitano
- Medical Innovation Center/SK Project, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Reo Tsukasa
- Medical Innovation Center/SK Project, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Hisa Mukohira
- Medical Innovation Center/SK Project, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Fangmiao Sun
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Beijing 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China
| | - Yulong Li
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Beijing 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China
| | - Kenta Kobayashi
- Section of Viral Vector Development, National Institute for Physiological Sciences, Okazaki, Aichi 444-8585, Japan
- SOKENDAI (The Graduate University for Advanced Studies), Okazaki, Aichi 444-8585, Japan
| | - Honda Naoki
- Laboratory of Data-driven Biology, Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8526, Japan
- Theoretical Biology Research Group, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, Aichi 444-8787, Japan
- Laboratory of Theoretical Biology, Graduate School of Biostudies, Kyoto University, Kyoto 606-8315, Japan
- Kansei-Brain Informatics Group, Center for Brain, Mind and Kansei Sciences Research (BMK Center), Hiroshima University, Kasumi, Minami-ku, Hiroshima 734-8551, Japan
| | - Naoya Oishi
- Medical Innovation Center/SK Project, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Masaaki Ogawa
- Medical Innovation Center/SK Project, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
- Department of Neuroscience, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
- Department of Developmental Physiology, National Institute for Physiological Sciences, Okazaki, Aichi 444-8585, Japan
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43
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Yagishita S. Cellular bases for reward-related dopamine actions. Neurosci Res 2023; 188:1-9. [PMID: 36496085 DOI: 10.1016/j.neures.2022.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 11/09/2022] [Accepted: 12/06/2022] [Indexed: 12/12/2022]
Abstract
Dopamine neurons exhibit transient increases and decreases in their firing rate upon reward and punishment for learning. This bidirectional modulation of dopamine dynamics occurs on the order of hundreds of milliseconds, and it is sensitively detected to reinforce the preceding sensorimotor events. These observations indicate that the mechanisms of dopamine detection at the projection sites are of remarkable precision, both in time and concentration. A major target of dopamine projection is the striatum, including the ventral region of the nucleus accumbens, which mainly comprises dopamine D1 and D2 receptor (D1R and D2R)-expressing spiny projection neurons. Although the involvement of D1R and D2R in dopamine-dependent learning has been suggested, the exact cellular bases for detecting transient dopamine signaling remain unclear. This review discusses recent cellular studies on the novel synaptic mechanisms for detecting dopamine transient signals associated with learning. Analyses of behavior based on these mechanisms have further revealed new behavioral aspects that are closely associated with these synaptic mechanisms. Thus, it is gradually possible to mechanistically explain behavioral learning via synaptic and cellular bases in rodents.
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Affiliation(s)
- Sho Yagishita
- Laboratory of Structural Physiology, Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan; International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
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44
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Garritsen O, van Battum EY, Grossouw LM, Pasterkamp RJ. Development, wiring and function of dopamine neuron subtypes. Nat Rev Neurosci 2023; 24:134-52. [PMID: 36653531 DOI: 10.1038/s41583-022-00669-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2022] [Indexed: 01/19/2023]
Abstract
The midbrain dopamine (mDA) system is composed of molecularly and functionally distinct neuron subtypes that mediate specific behaviours and are linked to various brain diseases. Considerable progress has been made in identifying mDA neuron subtypes, and recent work has begun to unveil how these neuronal subtypes develop and organize into functional brain structures. This progress is important for further understanding the disparate physiological functions of mDA neurons and their selective vulnerability in disease, and will ultimately accelerate therapy development. This Review discusses recent advances in our understanding of molecularly defined mDA neuron subtypes and their circuits, ranging from early developmental events, such as neuron migration and axon guidance, to their wiring and function, and future implications for therapeutic strategies.
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45
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Khatib D, Morris G. Spontaneous behaviour is shaped by dopamine in two ways. Nature 2023; 614:36-37. [PMID: 36653602 DOI: 10.1038/d41586-023-00004-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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46
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Kintscher M, Kochubey O, Schneggenburger R. A striatal circuit balances learned fear in the presence and absence of sensory cues. eLife 2023; 12:75703. [PMID: 36655978 PMCID: PMC9897731 DOI: 10.7554/elife.75703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 01/16/2023] [Indexed: 01/20/2023] Open
Abstract
During fear learning, defensive behaviors like freezing need to be finely balanced in the presence or absence of threat-predicting cues (conditioned stimulus, CS). Nevertheless, the circuits underlying such balancing are largely unknown. Here, we investigate the role of the ventral tail striatum (vTS) in auditory-cued fear learning of male mice. In vivo Ca2+ imaging showed that sizable sub-populations of direct (D1R+) and indirect pathway neurons (Adora+) in the vTS responded to footshocks, and to the initiation of movements after freezing; moreover, a sub-population of D1R+ neurons increased its responsiveness to an auditory CS during fear learning. In-vivo optogenetic silencing shows that footshock-driven activity of D1R+ neurons contributes to fear memory formation, whereas Adora+ neurons modulate freezing in the absence of a learned CS. Circuit tracing identified the posterior insular cortex (pInsCx) as an important cortical input to the vTS, and recording of optogenetically evoked EPSCs revealed long-term plasticity with opposite outcomes at the pInsCx synapses onto D1R+ - and Adora+ neurons. Thus, direct- and indirect pathways neurons of the vTS show differential signs of plasticity after fear learning, and balance defensive behaviors in the presence and absence of learned sensory cues.
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Affiliation(s)
- Michael Kintscher
- Laboratory for Synaptic Mechanisms, Brain Mind Institute, School of Life Science, Ecole Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Olexiy Kochubey
- Laboratory for Synaptic Mechanisms, Brain Mind Institute, School of Life Science, Ecole Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Ralf Schneggenburger
- Laboratory for Synaptic Mechanisms, Brain Mind Institute, School of Life Science, Ecole Polytechnique Fédérale de LausanneLausanneSwitzerland
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47
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Abstract
Learning to predict rewards based on environmental cues is essential for survival. It is believed that animals learn to predict rewards by updating predictions whenever the outcome deviates from expectations, and that such reward prediction errors (RPEs) are signaled by the mesolimbic dopamine system-a key controller of learning. However, instead of learning prospective predictions from RPEs, animals can infer predictions by learning the retrospective cause of rewards. Hence, whether mesolimbic dopamine instead conveys a causal associative signal that sometimes resembles RPE remains unknown. We developed an algorithm for retrospective causal learning and found that mesolimbic dopamine release conveys causal associations but not RPE, thereby challenging the dominant theory of reward learning. Our results reshape the conceptual and biological framework for associative learning.
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Affiliation(s)
- Huijeong Jeong
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Annie Taylor
- Neuroscience Graduate Program, University of California, San Francisco, CA, USA
| | - Joseph R Floeder
- Neuroscience Graduate Program, University of California, San Francisco, CA, USA
| | | | - Stefan Mihalas
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | - Brenda Wu
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Mingkang Zhou
- Department of Neurology, University of California, San Francisco, CA, USA
- Neuroscience Graduate Program, University of California, San Francisco, CA, USA
| | - Dennis A Burke
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Vijay Mohan K Namboodiri
- Department of Neurology, University of California, San Francisco, CA, USA
- Neuroscience Graduate Program, University of California, San Francisco, CA, USA
- Weill Institute for Neuroscience, Kavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, University of California, San Francisco, CA, USA
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48
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Hegedüs P, Sviatkó K, Király B, Martínez-Bellver S, Hangya B. Cholinergic activity reflects reward expectations and predicts behavioral responses. iScience 2022; 26:105814. [PMID: 36636356 PMCID: PMC9830220 DOI: 10.1016/j.isci.2022.105814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/22/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
Basal forebrain cholinergic neurons (BFCNs) play an important role in associative learning, suggesting that BFCNs may participate in processing stimuli that predict future outcomes. However, the impact of outcome probabilities on BFCN activity remained elusive. Therefore, we performed bulk calcium imaging and recorded spiking of identified cholinergic neurons from the basal forebrain of mice performing a probabilistic Pavlovian cued outcome task. BFCNs responded more to sensory cues that were often paired with reward. Reward delivery also activated BFCNs, with surprising rewards eliciting a stronger response, whereas punishments evoked uniform positive-going responses. We propose that BFCNs differentially weigh predictions of positive and negative reinforcement, reflecting divergent relative salience of forecasting appetitive and aversive outcomes, partially explained by a simple reinforcement learning model of a valence-weighed unsigned prediction error. Finally, the extent of cue-driven cholinergic activation predicted subsequent decision speed, suggesting that the expectation-gated cholinergic firing is instructive to reward-seeking behaviors.
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Affiliation(s)
- Panna Hegedüs
- Lendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, H-1083 Budapest, Hungary,János Szentágothai Doctoral School of Neurosciences, Semmelweis University, H-1085 Budapest, Hungary
| | - Katalin Sviatkó
- Lendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, H-1083 Budapest, Hungary,János Szentágothai Doctoral School of Neurosciences, Semmelweis University, H-1085 Budapest, Hungary
| | - Bálint Király
- Lendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, H-1083 Budapest, Hungary,Department of Biological Physics, Eötvös Loránd University, H-1117 Budapest, Hungary
| | - Sergio Martínez-Bellver
- Lendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, H-1083 Budapest, Hungary,Department of Anatomy and Human Embryology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain
| | - Balázs Hangya
- Lendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, H-1083 Budapest, Hungary,Corresponding author
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49
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Monosov IE, Ogasawara T, Haber SN, Heimel JA, Ahmadlou M. The zona incerta in control of novelty seeking and investigation across species. Curr Opin Neurobiol 2022; 77:102650. [PMID: 36399897 DOI: 10.1016/j.conb.2022.102650] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 10/02/2022] [Accepted: 10/06/2022] [Indexed: 11/17/2022]
Abstract
Many organisms rely on a capacity to rapidly replicate, disperse, and evolve when faced with uncertainty and novelty. But mammals do not evolve and replicate quickly. They rely on a sophisticated nervous system to generate predictions and select responses when confronted with these challenges. An important component of their behavioral repertoire is the adaptive context-dependent seeking or avoiding of perceptually novel objects, even when their values have not yet been learned. Here, we outline recent cross-species breakthroughs that shed light on how the zona incerta (ZI), a relatively evolutionarily conserved brain area, supports novelty-seeking and novelty-related investigations. We then conjecture how the architecture of the ZI's anatomical connectivity - the wide-ranging top-down cortical inputs to the ZI, and its specifically strong outputs to both the brainstem action controllers and to brain areas involved in action value learning - place the ZI in a unique role at the intersection of cognitive control and learning.
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Affiliation(s)
- Ilya E Monosov
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA.
| | - Takaya Ogasawara
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Suzanne N Haber
- Department of Pharmacology and Physiology, University of Rochester School of Medicine & Dentistry, Rochester, NY, 14642, USA; Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, 02478, USA
| | - J Alexander Heimel
- Circuits Structure and Function Group, Netherlands Institute for Neuroscience, Meibergdreef 47, 1105 BA, Amsterdam, the Netherlands
| | - Mehran Ahmadlou
- Circuits Structure and Function Group, Netherlands Institute for Neuroscience, Meibergdreef 47, 1105 BA, Amsterdam, the Netherlands; Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, 25 Howland St., W1T4JG London, UK
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50
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Akiti K, Tsutsui-Kimura I, Xie Y, Mathis A, Markowitz JE, Anyoha R, Datta SR, Mathis MW, Uchida N, Watabe-Uchida M. Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction. Neuron 2022; 110:3789-3804.e9. [PMID: 36130595 PMCID: PMC9671833 DOI: 10.1016/j.neuron.2022.08.022] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 06/03/2022] [Accepted: 08/18/2022] [Indexed: 12/15/2022]
Abstract
Animals both explore and avoid novel objects in the environment, but the neural mechanisms that underlie these behaviors and their dynamics remain uncharacterized. Here, we used multi-point tracking (DeepLabCut) and behavioral segmentation (MoSeq) to characterize the behavior of mice freely interacting with a novel object. Novelty elicits a characteristic sequence of behavior, starting with investigatory approach and culminating in object engagement or avoidance. Dopamine in the tail of the striatum (TS) suppresses engagement, and dopamine responses were predictive of individual variability in behavior. Behavioral dynamics and individual variability are explained by a reinforcement-learning (RL) model of threat prediction in which behavior arises from a novelty-induced initial threat prediction (akin to "shaping bonus") and a threat prediction that is learned through dopamine-mediated threat prediction errors. These results uncover an algorithmic similarity between reward- and threat-related dopamine sub-systems.
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Affiliation(s)
- Korleki Akiti
- Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Iku Tsutsui-Kimura
- Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Yudi Xie
- Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Alexander Mathis
- Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA; The Rowland Institute at Harvard, Harvard University, Cambridge, MA 02138, USA; Swiss Federal Institute of Technology Lausanne, Geneve 1202, Switzerland
| | - Jeffrey E Markowitz
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA; Wallace H. Coulter Department of Biomedical Engineering, Emory School of Medicine, Georgia Institute of Technology, Atlanta, GA 30322, USA
| | - Rockwell Anyoha
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
| | | | - Mackenzie Weygandt Mathis
- The Rowland Institute at Harvard, Harvard University, Cambridge, MA 02138, USA; Swiss Federal Institute of Technology Lausanne, Geneve 1202, Switzerland
| | - Naoshige Uchida
- Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Mitsuko Watabe-Uchida
- Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
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