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Cum M, Santiago Pérez JA, Wangia E, Lopez N, Wright ES, Iwata RL, Li A, Chambers AR, Padilla-Coreano N. A systematic review and meta-analysis of how social memory is studied. Sci Rep 2024; 14:2221. [PMID: 38278973 PMCID: PMC10817899 DOI: 10.1038/s41598-024-52277-z] [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: 06/20/2023] [Accepted: 01/16/2024] [Indexed: 01/28/2024] Open
Abstract
Social recognition is crucial for survival in social species, and necessary for group living, selective reproduction, pair bonding, and dominance hierarchies. Mice and rats are the most commonly used animal models in social memory research, however current paradigms do not account for the complex social dynamics they exhibit in the wild. To assess the range of social memories being studied, we conducted a systematic analysis of neuroscience articles testing the social memory of mice and rats published within the past two decades and analyzed their methods. Our results show that despite these rodent's rich social memory capabilities, the majority of social recognition papers explore short-term memories and short-term familiarity levels with minimal exposure between subject and familiar stimuli-a narrow type of social memory. We have identified several key areas currently understudied or underrepresented: kin relationships, mates, social ranks, sex variabilities, and the effects of aging. Additionally, reporting on social stimulus variables such as housing history, strain, and age, is limited, which may impede reproducibility. Overall, our data highlight large gaps in the diversity of social memories studied and the effects social variables have on social memory mechanisms.
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Affiliation(s)
- Meghan Cum
- Department of Neuroscience, University of Florida, Gainesville, 32610, USA
| | | | - Erika Wangia
- Department of Neuroscience, University of Florida, Gainesville, 32610, USA
| | - Naeliz Lopez
- Department of Neuroscience, University of Florida, Gainesville, 32610, USA
| | - Elizabeth S Wright
- Department of Neuroscience, University of Florida, Gainesville, 32610, USA
| | - Ryo L Iwata
- Department of Neuroscience, University of Florida, Gainesville, 32610, USA
| | - Albert Li
- Department of Neuroscience, University of Florida, Gainesville, 32610, USA
| | - Amelia R Chambers
- Department of Neuroscience, University of Florida, Gainesville, 32610, USA
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Cum M, Pérez JS, Wangia E, Lopez N, Wright ES, Iwata RL, Li A, Chambers AR, Padilla-Coreano N. Mind the gap: A systematic review and meta-analysis of how social memory is studied. bioRxiv 2023:2023.12.20.572606. [PMID: 38187659 PMCID: PMC10769336 DOI: 10.1101/2023.12.20.572606] [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: 01/09/2024]
Abstract
Social recognition is crucial for survival in social species, and necessary for group living, selective reproduction, pair bonding, and dominance hierarchies. Mice and rats are the most commonly used animal models in social memory research, however current paradigms do not account for the complex social dynamics they exhibit in the wild. To assess the range of social memories being studied, we conducted a systematic analysis of neuroscience articles testing the social memory of mice and rats published within the past two decades and analyzed their methods. Our results show that despite these rodent's rich social memory capabilities, the majority of social recognition papers explore short-term memories and short-term familiarity levels with minimal exposure between subject and familiar stimuli - a narrow type of social memory. We have identified several key areas currently understudied or underrepresented: kin relationships, mates, social ranks, sex variabilities, and the effects of aging. Additionally, reporting on social stimulus variables such as housing history, strain, and age, is limited, which may impede reproducibility. Overall, our data highlight large gaps in the diversity of social memories studied and the effects social variables have on social memory mechanisms.
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3
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Ferrara NC, Che A, Briones B, Padilla-Coreano N, Lovett-Barron M, Opendak M. Neural Circuit Transitions Supporting Developmentally Specific Social Behavior. J Neurosci 2023; 43:7456-7462. [PMID: 37940586 PMCID: PMC10634550 DOI: 10.1523/jneurosci.1377-23.2023] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 08/01/2023] [Accepted: 08/01/2023] [Indexed: 11/10/2023] Open
Abstract
Environmentally appropriate social behavior is critical for survival across the lifespan. To support this flexible behavior, the brain must rapidly perform numerous computations taking into account sensation, memory, motor-control, and many other systems. Further complicating this process, individuals must perform distinct social behaviors adapted to the unique demands of each developmental stage; indeed, the social behaviors of the newborn would not be appropriate in adulthood and vice versa. However, our understanding of the neural circuit transitions supporting these behavioral transitions has been limited. Recent advances in neural circuit dissection tools, as well as adaptation of these tools for use at early time points, has helped uncover several novel mechanisms supporting developmentally appropriate social behavior. This review, and associated Minisymposium, bring together social neuroscience research across numerous model organisms and ages. Together, this work highlights developmentally regulated neural mechanisms and functional transitions in the roles of the sensory cortex, prefrontal cortex, amygdala, habenula, and the thalamus to support social interaction from infancy to adulthood. These studies underscore the need for synthesis across varied model organisms and across ages to advance our understanding of flexible social behavior.
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Affiliation(s)
- Nicole C Ferrara
- Discipline of Physiology and Biophysics, Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois 60064
- Center for Neurobiology of Stress Resilience and Psychiatric Disorders, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois 60064
| | - Alicia Che
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06520
| | - Brandy Briones
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of Washington, Seattle, Washington 98195
| | - Nancy Padilla-Coreano
- Evelyn F. & William McKnight Brain Institute and Department of Neuroscience, University of Florida, Gainesville, Florida 32610
| | - Matthew Lovett-Barron
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, California 92093
| | - Maya Opendak
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205
- Kennedy Krieger Institute, Baltimore, Maryland 21205
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4
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Affiliation(s)
- Anne George
- Kennedy Krieger Institute, Baltimore, MD, 21205, USA
| | - Nancy Padilla-Coreano
- Evelyn F. & William McKnight Brain Institute and Department of Neuroscience, University of Florida, Gainesville, FL, 32610, USA
| | - Maya Opendak
- Kennedy Krieger Institute, Baltimore, MD, 21205, USA.
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
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5
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Chen Z, Zhang R, Fang HS, Zhang YE, Bal A, Zhou H, Rock RR, Padilla-Coreano N, Keyes LR, Zhu H, Li YL, Komiyama T, Tye KM, Lu C. AlphaTracker: a multi-animal tracking and behavioral analysis tool. Front Behav Neurosci 2023; 17:1111908. [PMID: 37324523 PMCID: PMC10266280 DOI: 10.3389/fnbeh.2023.1111908] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/21/2023] [Indexed: 06/17/2023] Open
Abstract
Computer vision has emerged as a powerful tool to elevate behavioral research. This protocol describes a computer vision machine learning pipeline called AlphaTracker, which has minimal hardware requirements and produces reliable tracking of multiple unmarked animals, as well as behavioral clustering. AlphaTracker pairs a top-down pose-estimation software combined with unsupervised clustering to facilitate behavioral motif discovery that will accelerate behavioral research. All steps of the protocol are provided as open-source software with graphic user interfaces or implementable with command-line prompts. Users with a graphical processing unit (GPU) can model and analyze animal behaviors of interest in less than a day. AlphaTracker greatly facilitates the analysis of the mechanism of individual/social behavior and group dynamics.
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Affiliation(s)
- Zexin Chen
- Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China
| | - Ruihan Zhang
- Zhiyuan College, Shanghai Jiao Tong University, Shanghai, China
- Media Arts and Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Hao-Shu Fang
- Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China
| | - Yu E. Zhang
- Department of Neurobiology, Center for Neural Circuits and Behavior, University of California, San Diego, La Jolla, CA, United States
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | - Aneesh Bal
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, United States
- Salk Institute for Biological Studies, La Jolla, CA, United States
| | - Haowen Zhou
- Zhiyuan College, Shanghai Jiao Tong University, Shanghai, China
| | - Rachel R. Rock
- Salk Institute for Biological Studies, La Jolla, CA, United States
| | - Nancy Padilla-Coreano
- Salk Institute for Biological Studies, La Jolla, CA, United States
- Department of Neuroscience, University of Florida, Gainesville, FL, United States
| | - Laurel R. Keyes
- Salk Institute for Biological Studies, La Jolla, CA, United States
- Howard Hughes Medical Institute, The Salk Institute, La Jolla, CA, United States
| | - Haoyi Zhu
- Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China
| | - Yong-Lu Li
- Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China
| | - Takaki Komiyama
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | - Kay M. Tye
- Salk Institute for Biological Studies, La Jolla, CA, United States
- Howard Hughes Medical Institute, The Salk Institute, La Jolla, CA, United States
| | - Cewu Lu
- Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Artificial Intelligence Laboratory, Shanghai, China
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6
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Harris AZ, Padilla-Coreano N. How loss of social status affects the brain. Nature 2023; 615:399-401. [PMID: 36882541 DOI: 10.1038/d41586-023-00602-3] [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: 03/09/2023]
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Abstract
Social signals can serve as potent emotional triggers with powerful impacts on processes from cognition to valence processing. How are social signals dynamically and flexibly associated with positive or negative valence? How do our past social experiences and present social standing shape our motivation to seek or avoid social contact? We discuss a model in which social attributes, social history, social memory, social rank and social isolation can flexibly influence valence assignment to social stimuli, termed here as 'social valence'. We emphasize how the brain encodes each of these four factors and highlight the neural circuits and mechanisms that play a part in the perception of social attributes, social memory and social rank, as well as how these factors affect valence systems associated with social stimuli. We highlight the impact of social isolation, dissecting the neural and behavioural mechanisms that mediate the effects of acute versus prolonged periods of social isolation. Importantly, we discuss conceptual models that may account for the potential shift in valence of social stimuli from positive to negative as the period of isolation extends in time. Collectively, this Review identifies factors that control the formation and attribution of social valence - integrating diverse areas of research and emphasizing their unique contributions to the categorization of social stimuli as positive or negative.
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Affiliation(s)
- Nancy Padilla-Coreano
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Kay M Tye
- HHMI-Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - Moriel Zelikowsky
- Department of Neurobiology, School of Medicine, University of Utah, Salt Lake City, UT, USA
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8
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Li H, Namburi P, Olson JM, Borio M, Lemieux ME, Beyeler A, Calhoon GG, Hitora-Imamura N, Coley AA, Libster A, Bal A, Jin X, Wang H, Jia C, Choudhury SR, Shi X, Felix-Ortiz AC, de la Fuente V, Barth VP, King HO, Izadmehr EM, Revanna JS, Batra K, Fischer KB, Keyes LR, Padilla-Coreano N, Siciliano CA, McCullough KM, Wichmann R, Ressler KJ, Fiete IR, Zhang F, Li Y, Tye KM. Neurotensin orchestrates valence assignment in the amygdala. Nature 2022; 608:586-592. [PMID: 35859170 PMCID: PMC9583860 DOI: 10.1038/s41586-022-04964-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [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: 02/22/2018] [Accepted: 06/10/2022] [Indexed: 02/03/2023]
Abstract
The ability to associate temporally segregated information and assign positive or negative valence to environmental cues is paramount for survival. Studies have shown that different projections from the basolateral amygdala (BLA) are potentiated following reward or punishment learning1-7. However, we do not yet understand how valence-specific information is routed to the BLA neurons with the appropriate downstream projections, nor do we understand how to reconcile the sub-second timescales of synaptic plasticity8-11 with the longer timescales separating the predictive cues from their outcomes. Here we demonstrate that neurotensin (NT)-expressing neurons in the paraventricular nucleus of the thalamus (PVT) projecting to the BLA (PVT-BLA:NT) mediate valence assignment by exerting NT concentration-dependent modulation in BLA during associative learning. We found that optogenetic activation of the PVT-BLA:NT projection promotes reward learning, whereas PVT-BLA projection-specific knockout of the NT gene (Nts) augments punishment learning. Using genetically encoded calcium and NT sensors, we further revealed that both calcium dynamics within the PVT-BLA:NT projection and NT concentrations in the BLA are enhanced after reward learning and reduced after punishment learning. Finally, we showed that CRISPR-mediated knockout of the Nts gene in the PVT-BLA pathway blunts BLA neural dynamics and attenuates the preference for active behavioural strategies to reward and punishment predictive cues. In sum, we have identified NT as a neuropeptide that signals valence in the BLA, and showed that NT is a critical neuromodulator that orchestrates positive and negative valence assignment in amygdala neurons by extending valence-specific plasticity to behaviourally relevant timescales.
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Affiliation(s)
- Hao Li
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Praneeth Namburi
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jacob M Olson
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Neuroscience Program, Department of Psychology, Volen National Center for Complex Systems, Brandeis University, Waltham, MA, USA
| | - Matilde Borio
- Salk Institute for Biological Studies, La Jolla, CA, USA
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Mackenzie E Lemieux
- Salk Institute for Biological Studies, La Jolla, CA, USA
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Anna Beyeler
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- University of Bordeaux, Neurocentre Magendie, INSERM 1215, Bordeaux, France
| | - Gwendolyn G Calhoon
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Neuroscience Program, Bates College, Lewiston, ME, USA
| | - Natsuko Hitora-Imamura
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Hokkaido University, Sapporo, Japan
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan
| | - Austin A Coley
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Avraham Libster
- Salk Institute for Biological Studies, La Jolla, CA, USA
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Aneesh Bal
- Salk Institute for Biological Studies, La Jolla, CA, USA
- Behavioral Neuroscience, Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Xin Jin
- Society of Fellows, Harvard University, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Huan Wang
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Peking-Tsinghua Center for Life Science, IDG/McGovern Institute for Brain Research at PKU, Beijing, China
| | - Caroline Jia
- Salk Institute for Biological Studies, La Jolla, CA, USA
- Neuroscience Graduate Program, University of California San Diego, La Jolla, CA, USA
| | | | - Xi Shi
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ada C Felix-Ortiz
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Verónica de la Fuente
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE-UBA-CONICET), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
- Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Vanessa P Barth
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany
| | - Hunter O King
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Whitehead Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ehsan M Izadmehr
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jasmin S Revanna
- Salk Institute for Biological Studies, La Jolla, CA, USA
- Biological Sciences Graduate Program, University of California San Diego, La Jolla, CA, USA
| | - Kanha Batra
- Salk Institute for Biological Studies, La Jolla, CA, USA
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA
| | - Kyle B Fischer
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Laurel R Keyes
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | - Cody A Siciliano
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Vanderbilt Center for Addiction Research, Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Kenneth M McCullough
- Division of Depression and Anxiety Disorders, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Romy Wichmann
- Salk Institute for Biological Studies, La Jolla, CA, USA
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kerry J Ressler
- Division of Depression and Anxiety Disorders, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Ila R Fiete
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Feng Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Cambridge, MA, USA
| | - Yulong Li
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Peking-Tsinghua Center for Life Science, IDG/McGovern Institute for Brain Research at PKU, Beijing, China
| | - Kay M Tye
- Salk Institute for Biological Studies, La Jolla, CA, USA.
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Systems Neuroscience Laboratory and Howard Hughes Medical Institute, Salk Institute for Biological Studies, La Jolla, CA, USA.
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Sibener LJ, Kirchgessner MA, Steiner S, Santiago C, Cassataro D, Rossa M, Profaci CP, Padilla-Coreano N. Lessons from the Stories of Women in Neuroscience. J Neurosci 2022; 42:4769-4773. [PMID: 35705494 PMCID: PMC9188381 DOI: 10.1523/jneurosci.0536-22.2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 03/19/2022] [Accepted: 04/03/2022] [Indexed: 01/16/2023] Open
Abstract
Women have been contributing to the field of neuroscience since its inception, but their accomplishments are often overlooked. Lack of recognition, among other issues, has led to progressively fewer women at each academic stage; although half of neuroscience graduate students are women, women comprise less than one-third of neuroscience faculty, and even fewer full professors. Those who reach this level continue to struggle to get their work recognized. Women from historically excluded backgrounds are even more starkly underrepresented and face added challenges related to racial, ethnic, and other biases. To increase the visibility of women in neuroscience, promote their voices, and learn about their career journeys, we created Stories of Women in Neuroscience (Stories of WiN). Stories of WiN shares the scientific and personal stories of women neuroscientists with diverse backgrounds, identities, research interests, and at various career stages. From >70 women highlighted thus far, a major theme has emerged: there is not a single archetype of a woman neuroscientist, nor a single path to "success." Yet, through these diverse experiences run common threads, such as the importance of positive early research experiences, managing imposter syndrome, the necessity of work-life balance, and the challenges of fitting into-or resisting-the "scientist mold" within a patriarchal, racialized academic system. These commonalities reveal important considerations for supporting women neuroscientists. Through the lens of women highlighted by Stories of WiN, we explore the similarities among their journeys and detail specific actionable items to help encourage, support, and sustain women in neuroscience.
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Affiliation(s)
- Leslie J Sibener
- Department of Neuroscience and Zuckerman Mind Brain Behavior Institute, Columbia University, New York, New York 10027
| | - Megan A Kirchgessner
- New York University School of Medicine, Neuroscience Institute, New York, New York 10016
| | - Sheila Steiner
- Neurobiology Section, Division of Biological Sciences, University of California San Diego, La Jolla, California 92037
| | - Chiaki Santiago
- Neurobiology Section, Division of Biological Sciences, University of California San Diego, La Jolla, California 92037
| | - Daniela Cassataro
- Neurobiology Section, Division of Biological Sciences, University of California San Diego, La Jolla, California 92037
- Salk Institute for Biological Studies, La Jolla, California 92037
| | - Marley Rossa
- Neurobiology Section, Division of Biological Sciences, University of California San Diego, La Jolla, California 92037
- Salk Institute for Biological Studies, La Jolla, California 92037
| | - Caterina P Profaci
- Departments of Pharmacology and Neuroscience, University of California San Diego, La Jolla, California 92037
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Dwortz MF, Curley JP, Tye KM, Padilla-Coreano N. Neural systems that facilitate the representation of social rank. Philos Trans R Soc Lond B Biol Sci 2022; 377:20200444. [PMID: 35000438 PMCID: PMC8743891 DOI: 10.1098/rstb.2020.0444] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 11/10/2021] [Indexed: 12/15/2022] Open
Abstract
Across species, animals organize into social dominance hierarchies that serve to decrease aggression and facilitate survival of the group. Neuroscientists have adopted several model organisms to study dominance hierarchies in the laboratory setting, including fish, reptiles, rodents and primates. We review recent literature across species that sheds light onto how the brain represents social rank to guide socially appropriate behaviour within a dominance hierarchy. First, we discuss how the brain responds to social status signals. Then, we discuss social approach and avoidance learning mechanisms that we propose could drive rank-appropriate behaviour. Lastly, we discuss how the brain represents memories of individuals (social memory) and how this may support the maintenance of unique individual relationships within a social group. This article is part of the theme issue 'The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies'.
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Affiliation(s)
- Madeleine F. Dwortz
- Department of Psychology, University of Texas at Austin, Austin, TX 78712, USA
- Institute for Neuroscience, University of Texas at Austin, Austin, TX 78712, USA
| | - James P. Curley
- Department of Psychology, University of Texas at Austin, Austin, TX 78712, USA
| | - Kay M. Tye
- Systems Neuroscience Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Nancy Padilla-Coreano
- Systems Neuroscience Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Department of Neuroscience, University of Florida, Gainesville, FN 32611, USA
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11
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Coley AA, Padilla-Coreano N, Patel R, Tye KM. Valence processing in the PFC: Reconciling circuit-level and systems-level views. Int Rev Neurobiol 2021; 158:171-212. [PMID: 33785145 DOI: 10.1016/bs.irn.2020.12.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
An essential component in animal behavior is the ability to process emotion and dissociate among positive and negative valence in response to a rewarding or aversive stimulus. The medial prefrontal cortex (mPFC)-responsible for higher order executive functions that include cognition, learning, and working memory; and is also involved in sociability-plays a major role in emotional processing and control. Although the amygdala is widely regarded as the "emotional hub," the mPFC encodes for context-specific salience and elicits top-down control over limbic circuitry. The mPFC can then conduct behavioral responses, via cortico-striatal and cortico-brainstem pathways, that correspond to emotional stimuli. Evidence shows that abnormalities within the mPFC lead to sociability deficits, working memory impairments, and drug-seeking behavior that include addiction and compulsive disorders; as well as conditions such as anhedonia. Recent studies investigate the effects of aberrant salience processing on cortical circuitry and neuronal populations associated with these behaviors. In this chapter, we discuss mPFC valence processing, neuroanatomical connections, and physiological substrates involved in mPFC-associated behavior. We review neurocomputational and theoretical models such as "mixed selectivity," that describe cognitive control, attentiveness, and motivational drives. Using this knowledge, we describe the effects of valence imbalances and its influence on mPFC neural pathways that contribute to deficits in social cognition, while understanding the effects in addiction/compulsive behaviors and anhedonia.
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Affiliation(s)
- Austin A Coley
- Salk Institute for Biological Studies, La Jolla, CA, United States
| | | | - Reesha Patel
- Salk Institute for Biological Studies, La Jolla, CA, United States
| | - Kay M Tye
- Salk Institute for Biological Studies, La Jolla, CA, United States.
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12
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Canetta S, Teboul E, Holt E, Bolkan SS, Padilla-Coreano N, Gordon JA, Harrison NL, Kellendonk C. Differential Synaptic Dynamics and Circuit Connectivity of Hippocampal and Thalamic Inputs to the Prefrontal Cortex. Cereb Cortex Commun 2020; 1:tgaa084. [PMID: 33381761 PMCID: PMC7750130 DOI: 10.1093/texcom/tgaa084] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 10/05/2020] [Accepted: 10/27/2020] [Indexed: 11/15/2022] Open
Abstract
The medial prefrontal cortex (mPFC) integrates inputs from multiple subcortical regions including the mediodorsal nucleus of the thalamus (MD) and the ventral hippocampus (vHPC). How the mPFC differentially processes these inputs is not known. One possibility is that these two inputs target discreet populations of mPFC cells. Alternatively, individual prefrontal cells could receive convergent inputs but distinguish between both inputs based on synaptic differences, such as communication frequency. To address this, we utilized a dual wavelength optogenetic approach to stimulate MD and vHPC inputs onto single, genetically defined mPFC neuronal subtypes. Specifically, we compared the convergence and synaptic dynamics of both inputs onto mPFC pyramidal cells, and parvalbumin (PV)- and vasoactive intestinal peptide (VIP)-expressing interneurons. We found that all individual pyramidal neurons in layer 2/3 of the mPFC receive convergent input from both MD and vHPC. In contrast, PV neurons receive input biased from the MD, while VIP cells receive input biased from the vHPC. Independent of the target, MD inputs transferred information more reliably at higher frequencies (20 Hz) than vHPC inputs. Thus, MD and vHPC projections converge functionally onto mPFC pyramidal cells, but both inputs are distinguished by frequency-dependent synaptic dynamics and preferential engagement of discreet interneuron populations.
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Affiliation(s)
- Sarah Canetta
- Department of Psychiatry, Columbia University Medical Center, New York, NY 10032, USA.,Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA
| | - Eric Teboul
- Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA
| | - Emma Holt
- Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA
| | - Scott S Bolkan
- Department of Psychiatry, Columbia University Medical Center, New York, NY 10032, USA.,Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA.,Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA
| | - Nancy Padilla-Coreano
- Department of Psychiatry, Columbia University Medical Center, New York, NY 10032, USA.,Division of Integrative Neuroscience, New York State Psychiatric Institute, New York, NY 10032, USA.,Department of Systems Neuroscience, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Joshua A Gordon
- National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Neil L Harrison
- Department of Molecular Pharmacology and Therapeutics, Columbia University Medical Center, New York, NY 10032, USA.,Department of Anesthesiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Christoph Kellendonk
- Department of Psychiatry, Columbia University Medical Center, New York, NY 10032, USA.,Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA.,Department of Molecular Pharmacology and Therapeutics, Columbia University Medical Center, New York, NY 10032, USA
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13
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Padilla-Coreano N, Canetta S, Mikofsky RM, Alway E, Passecker J, Myroshnychenko MV, Garcia-Garcia AL, Warren R, Teboul E, Blackman DR, Morton MP, Hupalo S, Tye KM, Kellendonk C, Kupferschmidt DA, Gordon JA. Hippocampal-Prefrontal Theta Transmission Regulates Avoidance Behavior. Neuron 2019; 104:601-610.e4. [PMID: 31521441 DOI: 10.1016/j.neuron.2019.08.006] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [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: 07/25/2018] [Revised: 06/08/2019] [Accepted: 08/03/2019] [Indexed: 12/23/2022]
Abstract
Long-range synchronization of neural oscillations correlates with distinct behaviors, yet its causal role remains unproven. In mice, tests of avoidance behavior evoke increases in theta-frequency (∼8 Hz) oscillatory synchrony between the ventral hippocampus (vHPC) and medial prefrontal cortex (mPFC). To test the causal role of this synchrony, we dynamically modulated vHPC-mPFC terminal activity using optogenetic stimulation. Oscillatory stimulation at 8 Hz maximally increased avoidance behavior compared to 2, 4, and 20 Hz. Moreover, avoidance behavior was selectively increased when 8-Hz stimulation was delivered in an oscillatory, but not pulsatile, manner. Furthermore, 8-Hz oscillatory stimulation enhanced vHPC-mPFC neurotransmission and entrained neural activity in the vHPC-mPFC network, resulting in increased synchrony between vHPC theta activity and mPFC spiking. These data suggest a privileged role for vHPC-mPFC theta-frequency communication in generating avoidance behavior and provide direct evidence that synchronized oscillations play a role in facilitating neural transmission and behavior.
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Affiliation(s)
- Nancy Padilla-Coreano
- Systems Neuroscience Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Sarah Canetta
- Department of Psychiatry, Columbia University Medical Center, 1051 Riverside Drive, New York, NY 10032, USA; Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA
| | - Rachel M Mikofsky
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA
| | - Emily Alway
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA
| | - Johannes Passecker
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA; Zuckerman Mind Brain Behavior Institute, New York, NY 10027, USA
| | - Maxym V Myroshnychenko
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA
| | - Alvaro L Garcia-Garcia
- Department of Psychiatry, Columbia University Medical Center, 1051 Riverside Drive, New York, NY 10032, USA
| | - Richard Warren
- Department of Psychiatry, Columbia University Medical Center, 1051 Riverside Drive, New York, NY 10032, USA
| | - Eric Teboul
- Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA
| | - Dakota R Blackman
- Department of Psychiatry, Columbia University Medical Center, 1051 Riverside Drive, New York, NY 10032, USA
| | - Mitchell P Morton
- Department of Psychiatry, Columbia University Medical Center, 1051 Riverside Drive, New York, NY 10032, USA
| | - Sofiya Hupalo
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA
| | - Kay M Tye
- Systems Neuroscience Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Christoph Kellendonk
- Department of Psychiatry, Columbia University Medical Center, 1051 Riverside Drive, New York, NY 10032, USA; Department of Pharmacology, Columbia University Medical Center, 1051 Riverside Drive, New York, NY 10032, USA; Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA
| | - David A Kupferschmidt
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA
| | - Joshua A Gordon
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA; National Institute of Mental Health, NIH, Bethesda, MD 20892, USA.
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14
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Lu J, Tucciarone J, Padilla-Coreano N, He M, Gordon JA, Huang ZJ. Selective inhibitory control of pyramidal neuron ensembles and cortical subnetworks by chandelier cells. Nat Neurosci 2017; 20:1377-1383. [PMID: 28825718 PMCID: PMC5614838 DOI: 10.1038/nn.4624] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 07/17/2017] [Indexed: 12/12/2022]
Abstract
The neocortex comprises multiple information processing streams mediated by subsets of glutamatergic pyramidal cells (PCs) that receive diverse inputs and project to distinct targets. How GABAergic interneurons regulate the segregation and communication among intermingled PC subsets that contribute to separate brain networks remains unclear. Here we demonstrate that a subset of GABAergic chandelier cells (ChCs) in the prelimbic cortex, which innervate PCs at spike initiation site, selectively control PCs projecting to the basolateral amygdala (BLAPC) compared to those projecting to contralateral cortex (CCPC). These ChCs in turn receive preferential input from local and contralateral CCPCs as opposed to BLAPCs and BLA neurons (the prelimbic cortex-BLA network). Accordingly, optogenetic activation of ChCs rapidly suppresses BLAPCs and BLA activity in freely behaving mice. Thus, the exquisite connectivity of ChCs not only mediates directional inhibition between local PC ensembles but may also shape communication hierarchies between global networks.
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Affiliation(s)
- Jiangteng Lu
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
| | - Jason Tucciarone
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
- Program in Neuroscience and Medical Scientist Training Program, Stony Brook University, New York 11790, USA
| | - Nancy Padilla-Coreano
- Departments of Neuroscience and Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - Miao He
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
| | - Joshua A. Gordon
- Departments of Neuroscience and Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - Z. Josh Huang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
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15
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Canetta S, Bolkan S, Padilla-Coreano N, Song L, Sahn R, Harrison N, Gordon JA, Brown A, Kellendonk C. Maternal immune activation leads to selective functional deficits in offspring parvalbumin interneurons. Mol Psychiatry 2016; 21:956-68. [PMID: 26830140 PMCID: PMC4914410 DOI: 10.1038/mp.2015.222] [Citation(s) in RCA: 138] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 12/04/2015] [Accepted: 12/15/2015] [Indexed: 12/26/2022]
Abstract
Abnormalities in prefrontal gamma aminobutyric acid (GABA)ergic transmission, particularly in fast-spiking interneurons that express parvalbumin (PV), are hypothesized to contribute to the pathophysiology of multiple psychiatric disorders, including schizophrenia, bipolar disorder, anxiety disorders and depression. While primarily histological abnormalities have been observed in patients and in animal models of psychiatric disease, evidence for abnormalities in functional neurotransmission at the level of specific interneuron populations has been lacking in animal models and is difficult to establish in human patients. Using an animal model of a psychiatric disease risk factor, prenatal maternal immune activation (MIA), we found reduced functional GABAergic transmission in the medial prefrontal cortex (mPFC) of adult MIA offspring. Decreased transmission was selective for interneurons expressing PV, resulted from a decrease in release probability and was not observed in calretinin-expressing neurons. This deficit in PV function in MIA offspring was associated with increased anxiety-like behavior and impairments in attentional set shifting, but did not affect working memory. Furthermore, cell-type specific optogenetic inhibition of mPFC PV interneurons was sufficient to impair attentional set shifting and enhance anxiety levels. Finally, we found that in vivo mPFC gamma oscillations, which are supported by PV interneuron function, were linearly correlated with the degree of anxiety displayed in adult mice, and that this correlation was disrupted in MIA offspring. These results demonstrate a selective functional vulnerability of PV interneurons to MIA, leading to affective and cognitive symptoms that have high relevance for schizophrenia and other psychiatric disorders.
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Affiliation(s)
- Sarah Canetta
- Department of Psychiatry, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA
| | - Scott Bolkan
- Department of Psychiatry, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA
| | - Nancy Padilla-Coreano
- Department of Psychiatry, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA,Division of Integrative Neuroscience, New York State Psychiatric Institute, New York, NY 10032, USA
| | - LouJin Song
- Department of Pharmacology, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA
| | | | - Neil Harrison
- Department of Pharmacology, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA,Department of Anesthesiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA
| | - Joshua A. Gordon
- Department of Psychiatry, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA,Division of Integrative Neuroscience, New York State Psychiatric Institute, New York, NY 10032, USA
| | - Alan Brown
- Department of Psychiatry, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA,Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA,Divison of Epidemiology, New York State Psychiatric Institute, New York, NY 10032, USA
| | - Christoph Kellendonk
- Department of Psychiatry, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA,Department of Pharmacology, Mailman School of Public Health, Columbia University Medical Center, New York, NY 10032, USA,Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY 10032, USA
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16
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Canetta S, Bolkan S, Padilla-Coreano N, Song LJ, Sahn R, Harrison NL, Gordon JA, Brown A, Kellendonk C. Maternal immune activation does not alter the number of perisomatic parvalbumin-positive boutons in the offspring prefrontal cortex. Mol Psychiatry 2016; 21:857. [PMID: 27321207 DOI: 10.1038/mp.2016.92] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- S Canetta
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
| | - S Bolkan
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
| | - N Padilla-Coreano
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
| | - L J Song
- Department of Pharmacology, Columbia University Medical Center, New York, NY, USA
| | - R Sahn
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
| | - N L Harrison
- Department of Pharmacology, Columbia University Medical Center, New York, NY, USA.,Department of Anesthesiology, Columbia University Medical Center, New York, NY, USA
| | - J A Gordon
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA.,Division of Integrative Neuroscience, New York State Psychiatric Institute, New York, NY, USA
| | - A Brown
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA.,Division of Epidemiology, New York State Psychiatric Institute, New York, NY, USA
| | - C Kellendonk
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA.,Department of Anesthesiology, Columbia University Medical Center, New York, NY, USA.,Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY, USA
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17
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Padilla-Coreano N, Bolkan SS, Pierce GM, Blackman DR, Hardin WD, Garcia-Garcia AL, Spellman TJ, Gordon JA. Direct Ventral Hippocampal-Prefrontal Input Is Required for Anxiety-Related Neural Activity and Behavior. Neuron 2016; 89:857-66. [PMID: 26853301 DOI: 10.1016/j.neuron.2016.01.011] [Citation(s) in RCA: 287] [Impact Index Per Article: 35.9] [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: 04/20/2015] [Revised: 07/31/2015] [Accepted: 12/24/2015] [Indexed: 12/22/2022]
Abstract
The ventral hippocampus (vHPC), medial prefrontal cortex (mPFC), and basolateral amygdala (BLA) are each required for the expression of anxiety-like behavior. Yet the role of each individual element of the circuit is unclear. The projection from the vHPC to the mPFC has been implicated in anxiety-related neural synchrony and spatial representations of aversion. The role of this projection was examined using multi-site neural recordings combined with optogenetic terminal inhibition. Inhibition of vHPC input to the mPFC disrupted anxiety and mPFC representations of aversion, and reduced theta synchrony in a pathway-, frequency- and task-specific manner. Moreover, bilateral, but not unilateral, inhibition altered physiological correlates of anxiety in the BLA, mimicking a safety-like state. These results reveal a specific role for the vHPC-mPFC projection in anxiety-related behavior and the spatial representation of aversive information within the mPFC.
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Affiliation(s)
- Nancy Padilla-Coreano
- Department of Neuroscience, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA; Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - Scott S Bolkan
- Department of Neuroscience, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA; Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - Georgia M Pierce
- Department of Neuroscience, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - Dakota R Blackman
- Department of Neuroscience, Barnard College, 3009 Broadway, New York, NY 10027, USA
| | - William D Hardin
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - Alvaro L Garcia-Garcia
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA
| | - Timothy J Spellman
- Department of Physiology and Cellular Biophysics, Columbia University, 622 West 168(th) Street, New York, NY 10032, USA
| | - Joshua A Gordon
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY 10032, USA; Division of Integrative Neuroscience, New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032 USA.
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18
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Padilla-Coreano N, Do-Monte FH, Quirk GJ. A time-dependent role of midline thalamic nuclei in the retrieval of fear memory. Neuropharmacology 2012; 62:457-63. [PMID: 21903111 PMCID: PMC3195904 DOI: 10.1016/j.neuropharm.2011.08.037] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.8] [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: 06/06/2011] [Revised: 08/21/2011] [Accepted: 08/22/2011] [Indexed: 02/03/2023]
Abstract
Increasing evidence indicates that the medial prefrontal cortex (mPFC) and the amygdala mediate expression and extinction of conditioned fear, but few studies have examined the inputs to these structures. The dorsal part of the midline thalamus (dMT) contains structures such as the mediodorsal nucleus, paraventricular nucleus, and paratenial nucleus that project prominently to mPFC, as well as to basal (BA) and central (Ce) nuclei of the amygdala. Using temporary inactivation with GABA agonist muscimol, we found that dMT was necessary for retrieving auditory fear memory that was 24 h old, but not 2-8 h old. However, pre-training infusions did not impair fear acquisition or extinction. To determine the possible targets of dMT that might modulate fear retrieval, we combined dMT inactivation with Fos immunohistochemistry. Rats with inactivation-induced impairment in fear retrieval showed increased Fos in the lateral division of Ce (CeL), and decreased Fos in the medial division of Ce. No differences in Fos expression were observed in the mPFC or BA. We suggest that the projections from the paraventricular nucleus to CeL are involved in retrieval of well consolidated fear memories. This article is part of a Special Issue entitled 'Anxiety and Depression'.
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Affiliation(s)
- Nancy Padilla-Coreano
- Department of Psychiatry, University of Puerto Rico School of Medicine, P.O. Box 365067, San Juan 00936, Puerto Rico
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