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Isaac J, Karkare SC, Balasubramanian H, Schappaugh N, Javier JL, Rashid M, Murugan M. Sex differences in neural representations of social and nonsocial reward in the medial prefrontal cortex. Nat Commun 2024; 15:8018. [PMID: 39271723 DOI: 10.1038/s41467-024-52294-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 08/29/2024] [Indexed: 09/15/2024] Open
Abstract
The reinforcing nature of social interactions is necessary for the maintenance of appropriate social behavior. However, the neural substrates underlying social reward processing and how they might differ based on the sex and internal state of the animal remains unknown. It is also unclear whether these neural substrates are shared with those involved in nonsocial rewarding processing. We developed a fully automated, two choice (social-sucrose) operant assay in which mice choose between social and nonsocial rewards to directly compare the reward-related behaviors associated with two competing stimuli. We performed cellular resolution calcium imaging of medial prefrontal cortex (mPFC) neurons in male and female mice across varying states of water restriction and social isolation. We found that mPFC neurons maintain largely non-overlapping, flexible representations of social and nonsocial reward that vary with internal state in a sex-dependent manner. Additionally, optogenetic manipulation of mPFC activity during the reward period of the assay disrupted reward-seeking behavior across male and female mice. Thus, using a two choice operant assay, we have identified sex-dependent, non-overlapping neural representations of social and nonsocial reward in the mPFC that vary with internal state and that are essential for appropriate reward-seeking behavior.
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Affiliation(s)
- Jennifer Isaac
- Neuroscience Graduate Program, Emory University, Atlanta, GA, 30322, USA
- Department of Biology, Emory University, Atlanta, GA, 30322, USA
| | - Sonia Corbett Karkare
- Neuroscience Graduate Program, Emory University, Atlanta, GA, 30322, USA
- Department of Biology, Emory University, Atlanta, GA, 30322, USA
| | - Hymavathy Balasubramanian
- Neuroscience Graduate Program, Emory University, Atlanta, GA, 30322, USA
- Department of Biology, Emory University, Atlanta, GA, 30322, USA
| | | | - Jarildy Larimar Javier
- Neuroscience Graduate Program, Emory University, Atlanta, GA, 30322, USA
- Department of Biology, Emory University, Atlanta, GA, 30322, USA
| | - Maha Rashid
- Neuroscience Graduate Program, Emory University, Atlanta, GA, 30322, USA
- Department of Biology, Emory University, Atlanta, GA, 30322, USA
| | - Malavika Murugan
- Neuroscience Graduate Program, Emory University, Atlanta, GA, 30322, USA.
- Department of Biology, Emory University, Atlanta, GA, 30322, USA.
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2
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Chen S, Cheng N, Chen X, Wang C. Integration and competition between space and time in the hippocampus. Neuron 2024:S0896-6273(24)00579-8. [PMID: 39241779 DOI: 10.1016/j.neuron.2024.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 07/11/2024] [Accepted: 08/09/2024] [Indexed: 09/09/2024]
Abstract
Episodic memory is organized in both spatial and temporal contexts. The hippocampus is crucial for episodic memory and has been demonstrated to encode spatial and temporal information. However, how the representations of space and time interact in the hippocampal memory system is still unclear. Here, we recorded the activity of hippocampal CA1 neurons in mice in a variety of one-dimensional navigation tasks while systematically varying the speed of the animals. For all tasks, we found neurons simultaneously represented space and elapsed time. There was a negative correlation between the preferred space and lap duration, e.g., the preferred spatial position shifted more toward the origin when the lap duration became longer. A similar relationship between the preferred time and traveled distance was also observed. The results strongly suggest a competitive and integrated representation of space-time by single hippocampal neurons, which may provide the neural basis for spatiotemporal contexts.
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Affiliation(s)
- Shijie Chen
- Brain Research Centre, Department of Neuroscience, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ning Cheng
- Shenzhen Key Laboratory of Precision Diagnosis and Treatment of Depression, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Xiaojing Chen
- Brain Research Centre, Department of Neuroscience, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
| | - Cheng Wang
- Shenzhen Key Laboratory of Precision Diagnosis and Treatment of Depression, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; CAS Key Laboratory of Brain Connectome and Manipulation, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.
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3
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Desai NS, Zhong C, Kim R, Talmage DA, Role LW. A simple MATLAB toolbox for analyzing calcium imaging data in vitro and in vivo. J Neurosci Methods 2024; 409:110202. [PMID: 38906335 PMCID: PMC11289828 DOI: 10.1016/j.jneumeth.2024.110202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 06/06/2024] [Accepted: 06/12/2024] [Indexed: 06/23/2024]
Abstract
BACKGROUND Fluorescence imaging of calcium dynamics in neuronal populations is powerful because it offers a way of relating the activity of individual cells to the broader population of nearby cells. The method's growth across neuroscience has particularly been driven by the introduction of sophisticated mathematical techniques related to motion correction, image registration, cell detection, spike estimation, and population characterization. However, for many researchers, making good use of these techniques has been difficult because they have been devised by different workers and impose differing - and sometimes stringent - technical requirements on those who seek to use them. NEW METHOD We have built a simple toolbox of analysis routines that encompass the complete workflow for analyzing calcium imaging data. The workflow begins with preprocessing of data, includes motion correction and longitudinal image registration, detects active cells using constrained non-negative matrix factorization, and offers multiple options for estimating spike times and characterizing population activity. The routines can be navigated through a simple graphical user interface. Although written in MATLAB, a standalone version for researchers who do not have access to MATLAB is included. RESULTS We have used the toolbox on two very different preparations: spontaneously active brain slices and microendoscopic imaging from deep structures in awake behaving mice. In both cases, the toolbox offered a seamless flow from raw data all the way through to prepared graphs. CONCLUSION The field of calcium imaging has benefited from the development of numerous innovative mathematical techniques. Here we offer a simple toolbox that allows ordinary researchers to fully exploit these techniques.
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Affiliation(s)
- Niraj S Desai
- Circuits, Synapses, and Molecular Signaling Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 90892, USA.
| | - Chongbo Zhong
- Circuits, Synapses, and Molecular Signaling Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 90892, USA
| | - Ronald Kim
- Genetics of Neuronal Signaling Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 90892, USA
| | - David A Talmage
- Genetics of Neuronal Signaling Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 90892, USA
| | - Lorna W Role
- Circuits, Synapses, and Molecular Signaling Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 90892, USA.
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4
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Xia F, Rimoli CV, Akemann W, Ventalon C, Bourdieu L, Gigan S, de Aguiar HB. Neurophotonics beyond the surface: unmasking the brain's complexity exploiting optical scattering. NEUROPHOTONICS 2024; 11:S11510. [PMID: 38617592 PMCID: PMC11014413 DOI: 10.1117/1.nph.11.s1.s11510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 03/07/2024] [Accepted: 03/14/2024] [Indexed: 04/16/2024]
Abstract
The intricate nature of the brain necessitates the application of advanced probing techniques to comprehensively study and understand its working mechanisms. Neurophotonics offers minimally invasive methods to probe the brain using optics at cellular and even molecular levels. However, multiple challenges persist, especially concerning imaging depth, field of view, speed, and biocompatibility. A major hindrance to solving these challenges in optics is the scattering nature of the brain. This perspective highlights the potential of complex media optics, a specialized area of study focused on light propagation in materials with intricate heterogeneous optical properties, in advancing and improving neuronal readouts for structural imaging and optical recordings of neuronal activity. Key strategies include wavefront shaping techniques and computational imaging and sensing techniques that exploit scattering properties for enhanced performance. We discuss the potential merger of the two fields as well as potential challenges and perspectives toward longer term in vivo applications.
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Affiliation(s)
- Fei Xia
- Sorbonne Université, Collège de France, Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Paris, France
| | - Caio Vaz Rimoli
- Sorbonne Université, Collège de France, Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Paris, France
- Université PSL, Institut de Biologie de l’ENS, École Normale Supérieure, CNRS, INSERM, Paris, France
| | - Walther Akemann
- Université PSL, Institut de Biologie de l’ENS, École Normale Supérieure, CNRS, INSERM, Paris, France
| | - Cathie Ventalon
- Université PSL, Institut de Biologie de l’ENS, École Normale Supérieure, CNRS, INSERM, Paris, France
| | - Laurent Bourdieu
- Université PSL, Institut de Biologie de l’ENS, École Normale Supérieure, CNRS, INSERM, Paris, France
| | - Sylvain Gigan
- Sorbonne Université, Collège de France, Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Paris, France
| | - Hilton B. de Aguiar
- Sorbonne Université, Collège de France, Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Paris, France
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5
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Mountoufaris G, Nair A, Yang B, Kim DW, Vinograd A, Kim S, Linderman SW, Anderson DJ. A line attractor encoding a persistent internal state requires neuropeptide signaling. Cell 2024:S0092-8674(24)00906-1. [PMID: 39191257 DOI: 10.1016/j.cell.2024.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 06/23/2024] [Accepted: 08/07/2024] [Indexed: 08/29/2024]
Abstract
Internal states drive survival behaviors, but their neural implementation is poorly understood. Recently, we identified a line attractor in the ventromedial hypothalamus (VMH) that represents a state of aggressiveness. Line attractors can be implemented by recurrent connectivity or neuromodulatory signaling, but evidence for the latter is scant. Here, we demonstrate that neuropeptidergic signaling is necessary for line attractor dynamics in this system by using cell-type-specific CRISPR-Cas9-based gene editing combined with single-cell calcium imaging. Co-disruption of receptors for oxytocin and vasopressin in adult VMH Esr1+ neurons that control aggression diminished attack, reduced persistent neural activity, and eliminated line attractor dynamics while only slightly reducing overall neural activity and sex- or behavior-specific tuning. These data identify a requisite role for neuropeptidergic signaling in implementing a behaviorally relevant line attractor in mammals. Our approach should facilitate mechanistic studies in neuroscience that bridge different levels of biological function and abstraction.
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Affiliation(s)
- George Mountoufaris
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA
| | - Aditya Nair
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Program in Computation and Neural Systems, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA
| | - Bin Yang
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA
| | - Dong-Wook Kim
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA
| | - Amit Vinograd
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA
| | - Samuel Kim
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA
| | - Scott W Linderman
- Department of Statistics, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - David J Anderson
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA; Howard Hughes Medical Institute, Pasadena, CA 91001, USA.
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6
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Aitken TJ, Liu Z, Ly T, Shehata S, Sivakumar N, La Santa Medina N, Gray LA, Zhang J, Dundar N, Barnes C, Knight ZA. Negative feedback control of hypothalamic feeding circuits by the taste of food. Neuron 2024:S0896-6273(24)00539-7. [PMID: 39153476 DOI: 10.1016/j.neuron.2024.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 06/12/2024] [Accepted: 07/22/2024] [Indexed: 08/19/2024]
Abstract
The rewarding taste of food is critical for motivating animals to eat, but whether taste has a parallel function in promoting meal termination is not well understood. Here, we show that hunger-promoting agouti-related peptide (AgRP) neurons are rapidly inhibited during each bout of ingestion by a signal linked to the taste of food. Blocking these transient dips in activity via closed-loop optogenetic stimulation increases food intake by selectively delaying the onset of satiety. We show that upstream leptin-receptor-expressing neurons in the dorsomedial hypothalamus (DMHLepR) are tuned to respond to sweet or fatty tastes and exhibit time-locked activation during feeding that is the mirror image of downstream AgRP cells. These findings reveal an unexpected role for taste in the negative feedback control of ingestion. They also reveal a mechanism by which AgRP neurons, which are the primary cells that drive hunger, are able to influence the moment-by-moment dynamics of food consumption.
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Affiliation(s)
- Tara J Aitken
- Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Zhengya Liu
- Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Truong Ly
- Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Sarah Shehata
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Nilla Sivakumar
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Naymalis La Santa Medina
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Lindsay A Gray
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jingkun Zhang
- Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Naz Dundar
- Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Chris Barnes
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Zachary A Knight
- Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA; Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA.
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7
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Cheung KYM, Nair A, Li LY, Shapiro MG, Anderson DJ. Population coding of predator imminence in the hypothalamus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.12.607651. [PMID: 39211163 PMCID: PMC11360964 DOI: 10.1101/2024.08.12.607651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Hypothalamic VMHdm SF1 neurons are activated by predator cues and are necessary and sufficient for instinctive defensive responses. However, such data do not distinguish which features of a predator encounter are encoded by VMHdm SF1 neural activity. To address this issue, we imaged VMHdm SF1 neurons at single-cell resolution in freely behaving mice exposed to a natural predator in varying contexts. Our results reveal that VMHdm SF1 neurons do not represent different defensive behaviors, but rather encode predator identity and multiple predator-evoked internal states, including threat-evoked fear/anxiety; neophobia or arousal; predator imminence; and safety. Notably, threat and safety are encoded bi-directionally by anti-correlated subpopulations. Finally, individual differences in predator defensiveness are correlated with differences in VMHdm SF1 response dynamics. Thus, different threat-related internal state variables are encoded by distinct neuronal subpopulations within a genetically defined, anatomically restricted hypothalamic cell class. Highlights Distinct subsets of VMHdm SF1 neurons encode multiple predator-evoked internal states. Anti-correlated subsets encode safety vs. threat in a bi-directional mannerA population code for predator imminence is identified using a novel assay VMHdm SF1 dynamics correlate with individual variation in predator defensiveness.
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8
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Kong MS, Ancell E, Witten DM, Zweifel LS. Valence and Salience Encoding in the Central Amygdala. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.05.602310. [PMID: 39005417 PMCID: PMC11245111 DOI: 10.1101/2024.07.05.602310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
The central amygdala (CeA) has emerged as an important brain region for regulating both negative (fear and anxiety) and positive (reward) affective behaviors. The CeA has been proposed to encode affective information in the form of valence (whether the stimulus is good or bad) or salience (how significant is the stimulus), but the extent to which these two types of stimulus representation occur in the CeA is not known. Here, we used single cell calcium imaging in mice during appetitive and aversive conditioning and found that majority of CeA neurons (~65%) encode the valence of the unconditioned stimulus (US) with a smaller subset of cells (~15%) encoding the salience of the US. Valence and salience encoding of the conditioned stimulus (CS) was also observed, albeit to a lesser extent. These findings show that the CeA is a site of convergence for encoding oppositely valenced US information.
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Affiliation(s)
- Mi-Seon Kong
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195-1525, USA
| | - Ethan Ancell
- Department of Statistics, University of Washington, Seattle, WA 98195-1525, USA
| | - Daniela M. Witten
- Department of Statistics, University of Washington, Seattle, WA 98195-1525, USA
- Department of Biostatistics, University of Washington, Seattle, WA 98195-1525, USA
| | - Larry S. Zweifel
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195-1525, USA
- Department of Pharmacology, University of Washington, Seattle, WA 98195-1525, USA
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9
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Bao Y, Gong Y. Accurate neuron segmentation method for one-photon calcium imaging videos combining convolutional neural networks and clustering. Commun Biol 2024; 7:970. [PMID: 39122882 PMCID: PMC11316101 DOI: 10.1038/s42003-024-06668-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 08/01/2024] [Indexed: 08/12/2024] Open
Abstract
One-photon fluorescent calcium imaging helps understand brain functions by recording large-scale neural activities in freely moving animals. Automatic, fast, and accurate active neuron segmentation algorithms are essential to extract and interpret information from these videos. One-photon imaging videos' low resolution, high noise, and high background fluctuation pose significant challenges. Here, we develop a software pipeline to address the challenges of processing one-photon calcium imaging videos. We extend our previous two-photon active neuron segmentation algorithm, Shallow U-Net Neuron Segmentation (SUNS), to better suppress background fluctuations in one-photon videos. We also develop additional neuron extraction (ANE) to locate small or dim neurons missed by SUNS. To train our segmentation method, we create ground truth neurons by developing a manual labeling pipeline assisted with semi-automatic refinement. Our method is more accurate and faster than state-of-the-art techniques when processing simulated videos and multiple experimental datasets acquired over various brain regions with different imaging conditions.
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Affiliation(s)
- Yijun Bao
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, China.
| | - Yiyang Gong
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
- Department of Neurobiology, Duke University, Durham, NC, 27708, USA.
- Department of Cell Biology, University of Oklahoma Health Science Center, Oklahoma City, OK, 73104, USA.
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10
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Coelho CA, Mocle AJ, Jacob AD, Ramsaran AI, Rashid AJ, Köhler S, Josselyn SA, Frankland PW. Dentate gyrus ensembles gate context-dependent neural states and memory retrieval. SCIENCE ADVANCES 2024; 10:eadn9815. [PMID: 39093976 PMCID: PMC11296340 DOI: 10.1126/sciadv.adn9815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 06/28/2024] [Indexed: 08/04/2024]
Abstract
Memories of events are linked to the contexts in which they were encoded. This contextual linking ensures enhanced access to those memories that are most relevant to the context at hand, including specific associations that were previously learned in that context. This principle, referred to as encoding specificity, predicts that context-specific neural states should bias retrieval of particular associations over others, potentially allowing for the disambiguation of retrieval cues that may have multiple associations or meanings. Using a context-odor paired associate learning paradigm in mice, here, we show that chemogenetic manipulation of dentate gyrus ensembles corresponding to specific contexts reinstates context-specific neural states in downstream CA1 and biases retrieval toward context-specific associations.
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Affiliation(s)
- Cesar A.O. Coelho
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Andrew J. Mocle
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Alex D. Jacob
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - Adam I. Ramsaran
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - Asim J. Rashid
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Stefan Köhler
- Department of Psychology, University of Western Ontario, London, ON, Canada
| | - Sheena A. Josselyn
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, Canada
- Department of Psychology, University of Toronto, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Paul W. Frankland
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, Canada
- Department of Psychology, University of Toronto, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Child & Brain Development Program, Canadian Institute for Advanced Research, Toronto, ON, Canada
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11
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Hu J, Cherkkil A, Surinach DA, Oladepo I, Hossain RF, Fausner S, Saxena K, Ko E, Peters R, Feldkamp M, Konda PC, Pathak V, Horstmeyer R, Kodandaramaiah SB. Pan-cortical cellular imaging in freely behaving mice using a miniaturized micro-camera array microscope (mini-MCAM). BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.04.601964. [PMID: 39005454 PMCID: PMC11245122 DOI: 10.1101/2024.07.04.601964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Understanding how circuits in the brain simultaneously coordinate their activity to mediate complex ethnologically relevant behaviors requires recording neural activities from distributed populations of neurons in freely behaving animals. Current miniaturized imaging microscopes are typically limited to imaging a relatively small field of view, precluding the measurement of neural activities across multiple brain regions. Here we present a miniaturized micro-camera array microscope (mini-MCAM) that consists of four fluorescence imaging micro-cameras, each capable of capturing neural activity across a 4.5 mm x 2.55 mm field of view (FOV). Cumulatively, the mini-MCAM images over 30 mm 2 area of sparsely expressed GCaMP6s neurons distributed throughout the dorsal cortex, in regions including the primary and secondary motor, somatosensory, visual, retrosplenial, and association cortices across both hemispheres. We demonstrate cortex-wide cellular resolution in vivo Calcium (Ca 2+ ) imaging using the mini-MCAM in both head-fixed and freely behaving mice.
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12
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Rimoli CV, Moretti C, Soldevila F, Brémont E, Ventalon C, Gigan S. Demixing fluorescence time traces transmitted by multimode fibers. Nat Commun 2024; 15:6286. [PMID: 39060262 PMCID: PMC11282286 DOI: 10.1038/s41467-024-50306-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 07/05/2024] [Indexed: 07/28/2024] Open
Abstract
Optical methods based on thin multimode fibers (MMFs) are promising tools for measuring neuronal activity in deep brain regions of freely moving mice thanks to their small diameter. However, current methods are limited: while fiber photometry provides only ensemble activity, imaging techniques using of long multimode fibers are very sensitive to bending and have not been applied to unrestrained rodents yet. Here, we demonstrate the fundamentals of a new approach using a short MMF coupled to a miniscope. In proof-of-principle in vitro experiments, we disentangled spatio-temporal fluorescence signals from multiple fluorescent sources transmitted by a thin (200 µm) and short (8 mm) MMF, using a general unconstrained non-negative matrix factorization algorithm directly on the raw video data. Furthermore, we show that low-cost open-source miniscopes have sufficient sensitivity to image the same fluorescence patterns seen in our proof-of-principle experiment, suggesting a new avenue for novel minimally invasive deep brain studies using multimode fibers in freely behaving mice.
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Affiliation(s)
- Caio Vaz Rimoli
- Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 Rue Lhomond, Paris, F-75005, France
- Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France
| | - Claudio Moretti
- Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 Rue Lhomond, Paris, F-75005, France
| | - Fernando Soldevila
- Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 Rue Lhomond, Paris, F-75005, France
| | - Enora Brémont
- Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France
| | - Cathie Ventalon
- Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, 75005, Paris, France.
| | - Sylvain Gigan
- Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 Rue Lhomond, Paris, F-75005, France.
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13
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Gagliardi CM, Normandin ME, Keinath AT, Julian JB, Lopez MR, Ramos-Alvarez MM, Epstein RA, Muzzio IA. Distinct neural mechanisms for heading retrieval and context recognition in the hippocampus during spatial reorientation. Nat Commun 2024; 15:5968. [PMID: 39013846 PMCID: PMC11252339 DOI: 10.1038/s41467-024-50112-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/28/2024] [Indexed: 07/18/2024] Open
Abstract
Reorientation, the process of regaining one's bearings after becoming lost, requires identification of a spatial context (context recognition) and recovery of facing direction within that context (heading retrieval). We previously showed that these processes rely on the use of features and geometry, respectively. Here, we examine reorientation behavior in a task that creates contextual ambiguity over a long timescale to demonstrate that male mice learn to combine both featural and geometric cues to recover heading. At the neural level, most CA1 neurons persistently align to geometry, and this alignment predicts heading behavior. However, a small subset of cells remaps coherently in a context-sensitive manner, which serves to predict context. Efficient heading retrieval and context recognition correlate with rate changes reflecting integration of featural and geometric information in the active ensemble. These data illustrate how context recognition and heading retrieval are coded in CA1 and how these processes change with experience.
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Affiliation(s)
- Celia M Gagliardi
- Department of Psychological & Brain Sciences, University of Iowa, Iowa City, IA, 52245, USA
| | - Marc E Normandin
- Department of Psychological & Brain Sciences, University of Iowa, Iowa City, IA, 52245, USA
| | - Alexandra T Keinath
- Department of Psychology, University of Illinois Chicago, Chicago, IL, 60607, USA
| | - Joshua B Julian
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08544, USA
| | - Matthew R Lopez
- Department of Psychological & Brain Sciences, University of Iowa, Iowa City, IA, 52245, USA
| | | | - Russell A Epstein
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Isabel A Muzzio
- Department of Psychological & Brain Sciences, University of Iowa, Iowa City, IA, 52245, USA.
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14
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Florido A, Velasco ER, Romero LR, Acharya N, Marin Blasco IJ, Nabás JF, Perez-Caballero L, Rivero G, Olabarrieta E, Nuñez-delMoral A, González-Parra JA, Porta-Casteràs D, Cano M, Steward T, Antony MS, Cardoner N, Torrubia R, Jackson AC, Fullana MA, Andero R. Sex differences in neural projections of fear memory processing in mice and humans. SCIENCE ADVANCES 2024; 10:eadk3365. [PMID: 38985873 PMCID: PMC11235172 DOI: 10.1126/sciadv.adk3365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 06/05/2024] [Indexed: 07/12/2024]
Abstract
It remains unexplored in the field of fear memory whether functional neuronal connectivity between two brain areas is necessary for one sex but not the other. Here, we show that chemogenetic silencing of centromedial (CeM)-Tac2 fibers in the lateral posterior BNST (BNSTpl) decreased fear memory consolidation in male mice but not females. Optogenetic excitation of CeM-Tac2 fibers in the BNSTpl exhibited enhanced inhibitory postsynaptic currents in males compared to females. In vivo calcium imaging analysis revealed a sex-dimorphic fear memory engram in the BNSTpl. Furthermore, in humans, the single-nucleotide polymorphism (SNP) in the Tac2 receptor (rs2765) (TAC3R) decreased CeM-BNST connectivity in a fear task, impaired fear memory consolidation, and increased the expression of the TAC3R mRNA in AA-carrier men but not in women. These sex differences in critical neuronal circuits underlying fear memory formation may be relevant to human neuropsychiatric disorders with fear memory alterations such as posttraumatic stress disorder.
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Affiliation(s)
- Antonio Florido
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
- Departament de Psicobiologia i de Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
| | - Eric R. Velasco
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
| | - Leire R. Romero
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
| | - Neha Acharya
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
| | - Ignacio J. Marin Blasco
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
| | - Jaime F. Nabás
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
| | - Laura Perez-Caballero
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
- Departament de Psicobiologia i de Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
| | - Guadalupe Rivero
- Department of Pharmacology, University of the Basque Country, UPV/EHU, Leioa, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Biobizkaia Health Research Institute, Barakaldo, Spain
| | - Estíbaliz Olabarrieta
- Department of Pharmacology, University of the Basque Country, UPV/EHU, Leioa, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Amaia Nuñez-delMoral
- Department of Pharmacology, University of the Basque Country, UPV/EHU, Leioa, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Jose A. González-Parra
- IMIM-Hospital del Mar Medical Research Institute, Cell-Type Mechanisms in Normal and Pathological Behavior, Barcelona, Spain
| | - Daniel Porta-Casteràs
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Sant Pau Mental Health Research Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain
- Mental Health Department, Unitat de Neurociència Traslacional, Parc Tauli University Hospital, Institut d’Investigació i Innovació Sanitària Parc Taulí (I3PT), Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine Bellaterra, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Cano
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Sant Pau Mental Health Research Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain
| | - Trevor Steward
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia
- Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
| | - Monica S. Antony
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, CT, USA
| | - Narcís Cardoner
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Sant Pau Mental Health Research Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain
- Mental Health Department, Unitat de Neurociència Traslacional, Parc Tauli University Hospital, Institut d’Investigació i Innovació Sanitària Parc Taulí (I3PT), Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine Bellaterra, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Rafael Torrubia
- Unitat de Psicologia Mèdica, Departament de Psiquiatria i Medicina Legal and Institut de Neurociències, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Alexander C. Jackson
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, CT, USA
- The Institute for the Brain and Cognitive Sciences (IBACS), Storrs, CT, USA
| | - Miquel A. Fullana
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Adult Psychiatry and Psychology Department, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Raül Andero
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
- Departament de Psicobiologia i de Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Unitat de Neurociència Traslacional, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), Sabadell, Spain
- ICREA, Barcelona, Spain
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15
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Zhukovskaya A, Christopher Z, Willmore L, Pan Vazquez A, Janarthanan S, Falkner A, Witten I. Heightened lateral habenula activity during stress produces brainwide and behavioral substrates of susceptibility. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.06.565681. [PMID: 39005438 PMCID: PMC11244933 DOI: 10.1101/2023.11.06.565681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Some individuals are susceptible to the experience of chronic stress and others are more resilient. While many brain regions implicated in learning are dysregulated after stress, little is known about whether and how neural teaching signals during stress differ between susceptible and resilient individuals. Here, we seek to determine if activity in the lateral habenula (LHb), which encodes a negative teaching signal, differs between susceptible and resilient mice during stress to produce different outcomes. After, but not before, chronic social defeat stress (CSDS), the LHb is active when susceptible mice are in the proximity of the aggressor strain. During stress itself, LHb activity is higher in susceptible mice during aggressor proximity, and activation of the LHb during stress biases mice towards susceptibility. This manipulation generates a persistent and widespread increase in the balance of subcortical versus cortical activity in susceptible mice. Taken together, our results indicate that heightened activity in the LHb during stress produces lasting brainwide and behavioral substrates of susceptibility.
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16
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Zhang H, Xu Z, Chen N, Ma F, Zheng W, Liu C, Meng J. Simultaneous removal of noise and correction of motion warping in neuron calcium imaging using a pipeline structure of self-supervised deep learning models. BIOMEDICAL OPTICS EXPRESS 2024; 15:4300-4317. [PMID: 39022541 PMCID: PMC11249678 DOI: 10.1364/boe.527919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 06/07/2024] [Accepted: 06/10/2024] [Indexed: 07/20/2024]
Abstract
Calcium imaging is susceptible to motion distortions and background noises, particularly for monitoring active animals under low-dose laser irradiation, and hence unavoidably hinder the critical analysis of neural functions. Current research efforts tend to focus on either denoising or dewarping and do not provide effective methods for videos distorted by both noises and motion artifacts simultaneously. We found that when a self-supervised denoising model of DeepCAD [Nat. Methods18, 1359 (2021)10.1038/s41592-021-01225-0] is used on the calcium imaging contaminated by noise and motion warping, it can remove the motion artifacts effectively but with regenerated noises. To address this issue, we develop a two-level deep-learning (DL) pipeline to dewarp and denoise the calcium imaging video sequentially. The pipeline consists of two 3D self-supervised DL models that do not require warp-free and high signal-to-noise ratio (SNR) observations for network optimization. Specifically, a high-frequency enhancement block is presented in the denoising network to restore more structure information in the denoising process; a hierarchical perception module and a multi-scale attention module are designed in the dewarping network to tackle distortions of various sizes. Experiments conducted on seven videos from two-photon and confocal imaging systems demonstrate that our two-level DL pipeline can restore high-clarity neuron images distorted by both motion warping and background noises. Compared to typical DeepCAD, our denoising model achieves a significant improvement of approximately 30% in image resolution and up to 28% in signal-to-noise ratio; compared to traditional dewarping and denoising methods, our proposed pipeline network recovers more neurons, enhancing signal fidelity and improving data correlation among frames by 35% and 60% respectively. This work may provide an attractive method for long-term neural activity monitoring in awake animals and also facilitate functional analysis of neural circuits.
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Affiliation(s)
- Hongdong Zhang
- School of Computer, Qufu Normal University, Rizhao 276826, China
| | - Zhiqiang Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Ningbo Chen
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Fei Ma
- School of Computer, Qufu Normal University, Rizhao 276826, China
| | - Wei Zheng
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Chengbo Liu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Jing Meng
- School of Computer, Qufu Normal University, Rizhao 276826, China
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17
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Matsushita MT, Xia Z. Cadmium inhibits calcium activity in hippocampal CA1 neurons of freely moving mice. Toxicol Sci 2024; 200:199-212. [PMID: 38579196 PMCID: PMC11199909 DOI: 10.1093/toxsci/kfae048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2024] Open
Abstract
Cadmium (Cd) is a ubiquitous toxic heavy metal and a potential neurotoxicant due to its wide use in industrial manufacturing processes and commercial products, including fertilizers. The general population is exposed to Cd through food and smoking due to high transfer rates of Cd from contaminated soil. Cd has been shown to mimic calcium ions (Ca2+) and interfere with intracellular Ca2+ levels and Ca2+ signaling in in vitro studies. However, nothing is known about Cd's effects on Ca2+ activity in neurons in live animals. This study aimed to determine if Cd disrupts Ca2+ transients of neurons in CA1 region of the hippocampus during an associative learning paradigm. We utilized in vivo Ca2+ imaging in awake, freely moving C57BL/6 mice to measure Ca2+ activity in CA1 excitatory neurons expressing genetically encoded Ca2+ sensor GCaMP6 during an associative learning paradigm. We found that a smaller proportion of neurons are activated in Cd-treated groups compared with control during fear conditioning, suggesting that Cd may contribute to learning and memory deficit by reducing the activity of neurons. We observed these effects at Cd exposure levels that result in blood Cd levels comparable with the general U.S. population levels. This provides a possible molecular mechanism for Cd interference of learning and memory at exposure levels relevant to U.S. adults. To our knowledge, our study is the first to describe Cd effects on brain Ca2+ activity in vivo in freely behaving mice. This study provides evidence for impairment of neuronal calcium activity in hippocampal CA1 excitatory neurons in freely moving mice following cadmium exposure.
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Affiliation(s)
- Megumi T Matsushita
- Toxicology Program, Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98105, USA
| | - Zhengui Xia
- Toxicology Program, Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98105, USA
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18
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Sun D, Amiri M, Unnithan RR, French C. Protocol for calcium imaging and analysis of hippocampal CA1 activity evoked by non-spatial stimuli. STAR Protoc 2024; 5:103110. [PMID: 38843398 PMCID: PMC11216012 DOI: 10.1016/j.xpro.2024.103110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/22/2024] [Accepted: 05/15/2024] [Indexed: 06/26/2024] Open
Abstract
The hippocampus has a major role in processing spatial information but has been found to encode non-spatial information from multisensory modalities in recent studies. Here, we present a protocol for recording non-spatial stimuli (visual, auditory, and a combination) that evoked calcium activity of hippocampal CA1 neuronal ensembles in C57BL/6 mice using a miniaturized fluorescence microscope. We describe steps for experimental apparatus setup, surgical procedures, software development, and neuronal population activity analysis. For complete details on the use and execution of this protocol, please refer to Sun et al.1.
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Affiliation(s)
- Dechuan Sun
- Neural Dynamics Laboratory, Department of Medicine, The University of Melbourne, Melbourne, VIC 3051, Australia; Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC 3051, Australia.
| | - Mona Amiri
- Neural Dynamics Laboratory, Department of Medicine, The University of Melbourne, Melbourne, VIC 3051, Australia
| | | | - Chris French
- Neural Dynamics Laboratory, Department of Medicine, The University of Melbourne, Melbourne, VIC 3051, Australia.
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19
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Lin H, Zhou J. Hippocampal and orbitofrontal neurons contribute to complementary aspects of associative structure. Nat Commun 2024; 15:5283. [PMID: 38902232 PMCID: PMC11190210 DOI: 10.1038/s41467-024-49652-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 06/12/2024] [Indexed: 06/22/2024] Open
Abstract
The ability to establish associations between environmental stimuli is fundamental for higher-order brain functions like state inference and generalization. Both the hippocampus and orbitofrontal cortex (OFC) play pivotal roles in this, demonstrating complex neural activity changes after associative learning. However, how precisely they contribute to representing learned associations remains unclear. Here, we train head-restrained mice to learn four 'odor-outcome' sequence pairs composed of several task variables-the past and current odor cues, sequence structure of 'cue-outcome' arrangement, and the expected outcome; and perform calcium imaging from these mice throughout learning. Sequence-splitting signals that distinguish between paired sequences are detected in both brain regions, reflecting associative memory formation. Critically, we uncover differential contents in represented associations by examining, in each area, how these task variables affect splitting signal generalization between sequence pairs. Specifically, the hippocampal splitting signals are influenced by the combination of past and current cues that define a particular sensory experience. In contrast, the OFC splitting signals are similar between sequence pairs that share the same sequence structure and expected outcome. These findings suggest that the hippocampus and OFC uniquely and complementarily organize the acquired associative structure.
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Affiliation(s)
- Huixin Lin
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
- Chinese Institute for Brain Research, Beijing, 102206, China
| | - Jingfeng Zhou
- Chinese Institute for Brain Research, Beijing, 102206, China.
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20
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Wang H, Flores RJ, Yarur HE, Limoges A, Bravo-Rivera H, Casello SM, Loomba N, Enriquez-Traba J, Arenivar M, Wang Q, Ganley R, Ramakrishnan C, Fenno LE, Kim Y, Deisseroth K, Or G, Dong C, Hoon MA, Tian L, Tejeda HA. Prefrontal cortical dynorphin peptidergic transmission constrains threat-driven behavioral and network states. Neuron 2024; 112:2062-2078.e7. [PMID: 38614102 PMCID: PMC11250624 DOI: 10.1016/j.neuron.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 01/19/2024] [Accepted: 03/13/2024] [Indexed: 04/15/2024]
Abstract
Prefrontal cortical (PFC) circuits provide top-down control of threat reactivity. This includes ventromedial PFC (vmPFC) circuitry, which plays a role in suppressing fear-related behavioral states. Dynorphin (Dyn) has been implicated in mediating negative affect and maladaptive behaviors induced by severe threats and is expressed in limbic circuits, including the vmPFC. However, there is a critical knowledge gap in our understanding of how vmPFC Dyn-expressing neurons and Dyn transmission detect threats and regulate expression of defensive behaviors. Here, we demonstrate that Dyn cells are broadly activated by threats and release Dyn locally in the vmPFC to limit passive defensive behaviors. We further demonstrate that vmPFC Dyn-mediated signaling promotes a switch of vmPFC networks to a fear-related state. In conclusion, we reveal a previously unknown role of vmPFC Dyn neurons and Dyn neuropeptidergic transmission in suppressing defensive behaviors in response to threats via state-driven changes in vmPFC networks.
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Affiliation(s)
- Huikun Wang
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Rodolfo J Flores
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Hector E Yarur
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Aaron Limoges
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA; Columbia University - NIH Graduate Partnership Program, National Institutes of Health, Bethesda, MD, USA
| | - Hector Bravo-Rivera
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Sanne M Casello
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Niharika Loomba
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Juan Enriquez-Traba
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Miguel Arenivar
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA; Brown University - NIH Graduate Partnership Program, National Institutes of Health, Bethesda, MD, USA
| | - Queenie Wang
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Robert Ganley
- Molecular Genetics Section, Laboratory of Sensory Biology, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD, USA
| | - Charu Ramakrishnan
- Departments of Bioengineering and Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Lief E Fenno
- Departments of Bioengineering and Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Yoon Kim
- Departments of Bioengineering and Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Karl Deisseroth
- Departments of Bioengineering and Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Grace Or
- Department of Biochemistry and Molecular Medicine, University of California, Davis, Davis, CA, USA
| | - Chunyang Dong
- Department of Biochemistry and Molecular Medicine, University of California, Davis, Davis, CA, USA
| | - Mark A Hoon
- Molecular Genetics Section, Laboratory of Sensory Biology, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD, USA
| | - Lin Tian
- Department of Biochemistry and Molecular Medicine, University of California, Davis, Davis, CA, USA; Max Planck Florida Institute for Neuroscience, Jupiter, FL, USA
| | - Hugo A Tejeda
- Neuromodulation and Synaptic Integration Unit, National Institute of Mental Health Intramural Research Program, National Institutes of Health, Bethesda, MD, USA.
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21
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Kuo CC, McCall JG. Neural circuit-selective, multiplexed pharmacological targeting of prefrontal cortex-projecting locus coeruleus neurons drives antinociception. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.08.598059. [PMID: 38895281 PMCID: PMC11185789 DOI: 10.1101/2024.06.08.598059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Selective manipulation of neural circuits using optogenetics and chemogenetics holds great translational potential but requires genetic access to neurons. Here, we demonstrate a general framework for identifying genetic tool-independent, pharmacological strategies for neural circuit-selective modulation. We developed an economically accessible calcium imaging-based approach for large-scale pharmacological scans of endogenous receptor-mediated neural activity. As a testbed for this approach, we used the mouse locus coeruleus due to the combination of its widespread, modular efferent neural circuitry and its wide variety of endogenously expressed GPCRs. Using machine learning-based action potential deconvolution and retrograde tracing, we identified an agonist cocktail that selectively inhibits medial prefrontal cortex-projecting locus coeruleus neurons. In vivo, this cocktail produces synergistic antinociception, consistent with selective pharmacological blunting of this neural circuit. This framework has broad utility for selective targeting of other neural circuits under different physiological and pathological states, facilitating non-genetic translational applications arising from cell type-selective discoveries.
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Affiliation(s)
- Chao-Cheng Kuo
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA; Center for Clinical Pharmacology, University of Health Sciences and Pharmacy in St. Louis and Washington University School of Medicine, St. Louis, MO, USA; Washington University Pain Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Jordan G. McCall
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA; Center for Clinical Pharmacology, University of Health Sciences and Pharmacy in St. Louis and Washington University School of Medicine, St. Louis, MO, USA; Washington University Pain Center, Washington University in St. Louis, St. Louis, MO, USA
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22
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Xie H, Han X, Xiao G, Xu H, Zhang Y, Zhang G, Li Q, He J, Zhu D, Yu X, Dai Q. Multifocal fluorescence video-rate imaging of centimetre-wide arbitrarily shaped brain surfaces at micrometric resolution. Nat Biomed Eng 2024; 8:740-753. [PMID: 38057428 PMCID: PMC11250366 DOI: 10.1038/s41551-023-01155-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 10/26/2023] [Indexed: 12/08/2023]
Abstract
Fluorescence microscopy allows for the high-throughput imaging of cellular activity across brain areas in mammals. However, capturing rapid cellular dynamics across the curved cortical surface is challenging, owing to trade-offs in image resolution, speed, field of view and depth of field. Here we report a technique for wide-field fluorescence imaging that leverages selective illumination and the integration of focal areas at different depths via a spinning disc with varying thickness to enable video-rate imaging of previously reconstructed centimetre-scale arbitrarily shaped surfaces at micrometre-scale resolution and at a depth of field of millimetres. By implementing the technique in a microscope capable of acquiring images at 1.68 billion pixels per second and resolving 16.8 billion voxels per second, we recorded neural activities and the trajectories of neutrophils in real time on curved cortical surfaces in live mice. The technique can be integrated into many microscopes and macroscopes, in both reflective and fluorescence modes, for the study of multiscale cellular interactions on arbitrarily shaped surfaces.
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Affiliation(s)
- Hao Xie
- Department of Automation, Tsinghua University, Beijing, China.
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China.
| | - Xiaofei Han
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Guihua Xiao
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
| | - Hanyun Xu
- Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yuanlong Zhang
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Guoxun Zhang
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Qingwei Li
- School of Medicine, Tsinghua University, Beijing, China
| | - Jing He
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics - MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics - Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, China
| | - Xinguang Yu
- Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Qionghai Dai
- Department of Automation, Tsinghua University, Beijing, China.
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China.
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
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23
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Mi X, Chen ABY, Duarte D, Carey E, Taylor CR, Braaker PN, Bright M, Almeida RG, Lim JX, Ruetten VMS, Zheng W, Wang M, Reitman ME, Wang Y, Poskanzer KE, Lyons DA, Nimmerjahn A, Ahrens MB, Yu G. Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.02.592259. [PMID: 38766026 PMCID: PMC11100599 DOI: 10.1101/2024.05.02.592259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Optical recording of intricate molecular dynamics is becoming an indispensable technique for biological studies, accelerated by the development of new or improved biosensors and microscopy technology. This creates major computational challenges to extract and quantify biologically meaningful spatiotemporal patterns embedded within complex and rich data sources, many of which cannot be captured with existing methods. Here, we introduce Activity Quantification and Analysis (AQuA2), a fast, accurate, and versatile data analysis platform built upon advanced machine learning techniques. It decomposes complex live imaging-based datasets into elementary signaling events, allowing accurate and unbiased quantification of molecular activities and identification of consensus functional units. We demonstrate applications across a wide range of biosensors, cell types, organs, animal models, and imaging modalities. As exemplar findings, we show how AQuA2 identified drug-dependent interactions between neurons and astroglia, and distinct sensorimotor signal propagation patterns in the mouse spinal cord.
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Affiliation(s)
- Xuelong Mi
- Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA
- These authors contributed equally
| | - Alex Bo-Yuan Chen
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
- Graduate Program in Neuroscience, Harvard Medical School, Boston, MA 02115, USA
- These authors contributed equally
| | - Daniela Duarte
- Waitt Advanced Biophotonics Center, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Erin Carey
- Waitt Advanced Biophotonics Center, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Charlotte R. Taylor
- Department of Biochemistry & Biophysics, University of California, San Francisco, CA, USA
- Neuroscience Graduate Program, University of California, San Francisco, CA, USA
| | - Philipp N. Braaker
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh BioQuarter, Edinburgh EH16 4SB, UK
| | - Mark Bright
- Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA
| | - Rafael G. Almeida
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh BioQuarter, Edinburgh EH16 4SB, UK
| | - Jing-Xuan Lim
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - Virginia M. S. Ruetten
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
- Gatsby Computational Neuroscience Unit, UCL, London W1T 4JG, USA
| | - Wei Zheng
- Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA
| | - Mengfan Wang
- Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA
| | - Michael E. Reitman
- Department of Biochemistry & Biophysics, University of California, San Francisco, CA, USA
- Neuroscience Graduate Program, University of California, San Francisco, CA, USA
| | - Yizhi Wang
- Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA
| | - Kira E. Poskanzer
- Department of Biochemistry & Biophysics, University of California, San Francisco, CA, USA
- Neuroscience Graduate Program, University of California, San Francisco, CA, USA
- Kavli Institute for Fundamental Neuroscience, San Francisco, CA, USA
| | - David A. Lyons
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh BioQuarter, Edinburgh EH16 4SB, UK
| | - Axel Nimmerjahn
- Waitt Advanced Biophotonics Center, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Misha B. Ahrens
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - Guoqiang Yu
- Department of Automation, Tsinghua University, Beijing 100084, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China
- Lead contact
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24
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Wang Z, Chen K, Wu X, Zheng P, Li A, Guo Y, Gu X, Xiao G, Xie H, Zhuang C, Cao J. Distinct neural activities of the cortical layer 2/3 across isoflurane anesthesia: A large-scale simultaneous observation of neurons. Biomed Pharmacother 2024; 175:116751. [PMID: 38754266 DOI: 10.1016/j.biopha.2024.116751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 05/10/2024] [Accepted: 05/10/2024] [Indexed: 05/18/2024] Open
Abstract
Anesthesia inhibits neural activity in the brain, causing patients to lose consciousness and sensation during the surgery. Layers 2/3 of the cortex are important structures for the integration of information and consciousness, which are closely related to normal cognitive function. However, the dynamics of the large-scale population of neurons across multiple regions in layer 2/3 during anesthesia and recovery processes remains unclear. We conducted simultaneous observations and analysis of large-scale calcium signaling dynamics across multiple cortical regions within cortical layer 2/3 during isoflurane anesthesia and recovery in vivo by high-resolution wide-field microscopy. Under isoflurane-induced anesthesia, there is an overall decrease in neuronal activity across multiple regions in the cortical layer 2/3. Notably, some neurons display a paradoxical increase in activity during anesthesia. Additionally, the activity among multiple cortical regions under anesthesia was homogeneous. It is only during the recovery phase that variability emerges in the extent of increased neural activity across different cortical regions. Within the same duration of anesthesia, neural activity did not return to preanesthetic levels. To sum up, anesthesia as a dynamic alteration of brain functional networks, encompassing shifts in patterns of neural activity, homogeneousness among cortical neurons and regions, and changes in functional connectivity. Recovery from anesthesia does not entail a reversal of these effects within the same timeframe.
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Affiliation(s)
- Zilin Wang
- Department of Anesthesiology, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Kunsha Chen
- Department of Anesthesiology, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Xiaodong Wu
- Department of Anesthesiology, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Pengchang Zheng
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Ao Li
- Department of Anesthesiology, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Yongxin Guo
- Department of Anesthesiology, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Xingzheng Gu
- Department of Anesthesiology, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Guihua Xiao
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Hao Xie
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - ChaoWei Zhuang
- Department of Automation, Tsinghua University, Beijing 100084, China.
| | - Jiangbei Cao
- Department of Anesthesiology, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China.
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25
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Zhang Y, Yuan L, Zhu Q, Wu J, Nöbauer T, Zhang R, Xiao G, Wang M, Xie H, Guo Z, Dai Q, Vaziri A. A miniaturized mesoscope for the large-scale single-neuron-resolved imaging of neuronal activity in freely behaving mice. Nat Biomed Eng 2024; 8:754-774. [PMID: 38902522 DOI: 10.1038/s41551-024-01226-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 04/03/2024] [Indexed: 06/22/2024]
Abstract
Exploring the relationship between neuronal dynamics and ethologically relevant behaviour involves recording neuronal-population activity using technologies that are compatible with unrestricted animal behaviour. However, head-mounted microscopes that accommodate weight limits to allow for free animal behaviour typically compromise field of view, resolution or depth range, and are susceptible to movement-induced artefacts. Here we report a miniaturized head-mounted fluorescent mesoscope that we systematically optimized for calcium imaging at single-neuron resolution, for increased fields of view and depth of field, and for robustness against motion-generated artefacts. Weighing less than 2.5 g, the mesoscope enabled recordings of neuronal-population activity at up to 16 Hz, with 4 μm resolution over 300 μm depth-of-field across a field of view of 3.6 × 3.6 mm2 in the cortex of freely moving mice. We used the mesoscope to record large-scale neuronal-population activity in socially interacting mice during free exploration and during fear-conditioning experiments, and to investigate neurovascular coupling across multiple cortical regions.
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Affiliation(s)
- Yuanlong Zhang
- Department of Automation, Tsinghua University, Beijing, China
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA
| | - Lekang Yuan
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China
| | - Qiyu Zhu
- School of Medicine, Tsinghua University, Beijing, China
- Tsinghua-Peking Joint Center for Life Sciences, Beijing, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China
| | - Jiamin Wu
- Department of Automation, Tsinghua University, Beijing, China
| | - Tobias Nöbauer
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA
| | - Rujin Zhang
- Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Guihua Xiao
- Department of Automation, Tsinghua University, Beijing, China
| | - Mingrui Wang
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China
| | - Hao Xie
- Department of Automation, Tsinghua University, Beijing, China
| | - Zengcai Guo
- School of Medicine, Tsinghua University, Beijing, China
- Tsinghua-Peking Joint Center for Life Sciences, Beijing, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China
| | - Qionghai Dai
- Department of Automation, Tsinghua University, Beijing, China.
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
| | - Alipasha Vaziri
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY, USA.
- The Kavli Neural Systems Institute, The Rockefeller University, New York, NY, USA.
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26
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Li H, Zhao Z, Fassini A, Lee HK, Green RJ, Gomperts SN. Impaired Hippocampal Reactivation Preceding Robust Aβ Deposition in a Model of Alzheimer's Disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.26.595168. [PMID: 38853978 PMCID: PMC11160633 DOI: 10.1101/2024.05.26.595168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Current therapeutic strategies for Alzheimer's disease (AD) target amyloid-beta (Aβ) fibrils and high molecular weight protofibrils associated with plaques, but other bioactive species may directly contribute to neural systems failure in AD. Employing hippocampal electrophysiological recordings and dynamic calcium imaging across the sleep-wake cycle in young mice expressing human Aβ and Aβ oligomers, we reveal marked impairments of hippocampal function long before amyloid plaques predominate. In slow wave sleep (SWS), Aβ increased the proportion of hypoactive cells and reduced place-cell reactivation. During awake behavior, Aβ impaired theta-gamma phase-amplitude coupling (PAC) and drove excessive synchronization of place cell calcium fluctuations with hippocampal theta. Remarkably, the on-line impairment of hippocampal theta-gamma PAC correlated with the SWS impairment of place-cell reactivation. Together, these results identify toxic effects of Aβ on memory encoding and consolidation processes before robust plaque deposition and support targeting soluble Aβ-related species to treat and prevent AD.
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Affiliation(s)
- Hanyan Li
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Zhuoyang Zhao
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Aline Fassini
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Han K. Lee
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Reese J. Green
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Stephen N. Gomperts
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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27
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Piantadosi SC, Manning EE, Chamberlain BL, Hyde J, LaPalombara Z, Bannon NM, Pierson JL, K Namboodiri VM, Ahmari SE. Hyperactivity of indirect pathway-projecting spiny projection neurons promotes compulsive behavior. Nat Commun 2024; 15:4434. [PMID: 38789416 PMCID: PMC11126597 DOI: 10.1038/s41467-024-48331-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 04/26/2024] [Indexed: 05/26/2024] Open
Abstract
Compulsive behaviors are a hallmark symptom of obsessive compulsive disorder (OCD). Striatal hyperactivity has been linked to compulsive behavior generation in correlative studies in humans and causal studies in rodents. However, the contribution of the two distinct striatal output populations to the generation and treatment of compulsive behavior is unknown. These populations of direct and indirect pathway-projecting spiny projection neurons (SPNs) have classically been thought to promote or suppress actions, respectively, leading to a long-held hypothesis that increased output of direct relative to indirect pathway promotes compulsive behavior. Contrary to this hypothesis, here we find that indirect pathway hyperactivity is associated with compulsive grooming in the Sapap3-knockout mouse model of OCD-relevant behavior. Furthermore, we show that suppression of indirect pathway activity using optogenetics or treatment with the first-line OCD pharmacotherapy fluoxetine is associated with reduced grooming in Sapap3-knockouts. Together, these findings highlight the striatal indirect pathway as a potential treatment target for compulsive behavior.
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Affiliation(s)
- Sean C Piantadosi
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - Elizabeth E Manning
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
| | - Brittany L Chamberlain
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - James Hyde
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Biology, Southern Arkansas University, Magnolia, AK, USA
| | - Zoe LaPalombara
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nicholas M Bannon
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jamie L Pierson
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Susanne E Ahmari
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
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28
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Vinograd A, Nair A, Linderman SW, Anderson DJ. Intrinsic Dynamics and Neural Implementation of a Hypothalamic Line Attractor Encoding an Internal Behavioral State. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.21.595051. [PMID: 38826298 PMCID: PMC11142118 DOI: 10.1101/2024.05.21.595051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Line attractors are emergent population dynamics hypothesized to encode continuous variables such as head direction and internal states. In mammals, direct evidence of neural implementation of a line attractor has been hindered by the challenge of targeting perturbations to specific neurons within contributing ensembles. Estrogen receptor type 1 (Esr1)-expressing neurons in the ventrolateral subdivision of the ventromedial hypothalamus (VMHvl) show line attractor dynamics in male mice during fighting. We hypothesized that these dynamics may encode continuous variation in the intensity of an internal aggressive state. Here, we report that these neurons also show line attractor dynamics in head-fixed mice observing aggression. We exploit this finding to identify and perturb line attractor-contributing neurons using 2-photon calcium imaging and holographic optogenetic perturbations. On-manifold perturbations demonstrate that integration and persistent activity are intrinsic properties of these neurons which drive the system along the line attractor, while transient off-manifold perturbations reveal rapid relaxation back into the attractor. Furthermore, stimulation and imaging reveal selective functional connectivity among attractor-contributing neurons. Intriguingly, individual differences among mice in line attractor stability were correlated with the degree of functional connectivity among contributing neurons. Mechanistic modelling indicates that dense subnetwork connectivity and slow neurotransmission are required to explain our empirical findings. Our work bridges circuit and manifold paradigms, shedding light on the intrinsic and operational dynamics of a behaviorally relevant mammalian line attractor.
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Affiliation(s)
- Amit Vinograd
- Division of Biology and Biological Engineering, California Institute of Technology; Pasadena, USA
- Tianqiao and Chrissy Chen Institute for Neuroscience Caltech; Pasadena, USA
- Howard Hughes Medical Institute; Chevy Chase, USA
| | - Aditya Nair
- Division of Biology and Biological Engineering, California Institute of Technology; Pasadena, USA
- Tianqiao and Chrissy Chen Institute for Neuroscience Caltech; Pasadena, USA
- Howard Hughes Medical Institute; Chevy Chase, USA
| | - Scott W. Linderman
- Department of Statistics, Stanford University, Stanford, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, USA
| | - David J. Anderson
- Division of Biology and Biological Engineering, California Institute of Technology; Pasadena, USA
- Tianqiao and Chrissy Chen Institute for Neuroscience Caltech; Pasadena, USA
- Howard Hughes Medical Institute; Chevy Chase, USA
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29
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Boschen SL, Seethaler J, Wang S, Lujan WD, Silvernail JL, Carter RE, Chang SY, Lujan JL. Midbrain dopaminergic degeneration differentially modulates primary motor cortex activity and motor behavior in hemi-parkinsonian rats. RESEARCH SQUARE 2024:rs.3.rs-4365911. [PMID: 38798359 PMCID: PMC11118689 DOI: 10.21203/rs.3.rs-4365911/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Parkinson's disease (PD) is marked by degeneration in the nigrostriatal dopaminergic pathway, affecting motor control via complex changes in the cortico-basal ganglia-thalamic motor network, including the primary motor cortex (M1). The modulation of M1 neuronal activity by dopaminergic inputs, particularly from the ventral tegmental area (VTA) and substantia nigra pars compacta (SNc), plays a crucial role in PD pathophysiology. This study investigates how nigrostriatal dopaminergic degeneration influences M1 neuronal activity in rats using in vivo calcium imaging. Histological analysis confirmed dopaminergic lesion severity, with high lesion level rats showing significant motor deficits. Levodopa treatment improved fine motor abilities, particularly in high lesion level rats. Analysis of M1 calcium signals based on dopaminergic lesion severity revealed distinct M1 activity patterns. Animals with low dopaminergic lesion showed increased calcium events, while high lesion level rats exhibited decreased activity, partially restored by levodopa. These findings suggest that M1 activity is more sensitive to transient fluctuations in dopaminergic transmission, rather than to chronic high or low dopaminergic signaling. This study underscores the complex interplay between dopaminergic signaling and M1 neuronal activity in PD symptoms development. Further research integrating behavioral and calcium imaging data can elucidate mechanisms underlying motor deficits and therapeutic responses in PD.
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Affiliation(s)
| | | | - Shaohua Wang
- National Institute of Environmental Health Sciences
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30
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Sharma R, Chischolm A, Parikh M, Kempuraj D, Thakkar M. Cholinergic Interneurons in the Accumbal Shell Region Regulate Binge Alcohol Self-Administration in Mice: An In Vivo Calcium Imaging Study. Brain Sci 2024; 14:484. [PMID: 38790462 PMCID: PMC11120271 DOI: 10.3390/brainsci14050484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 05/02/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024] Open
Abstract
Recently, we and others have shown that manipulating the activity of cholinergic interneurons (CIN) present in the NAc can modulate binge alcohol consumption. The present study is designed to examine the relationship between binge alcohol consumption and the activity of the CIN in real time by using an in vivo microendoscopic technique. We hypothesized that mice exposed to Drinking in the Dark (DID)-a recognized mouse model for binge drinking-would exhibit increased activity in the accumbal shell region (NAcSh). To test this hypothesis, male mice expressing Cre-recombinase in the cholinergic neurons were exposed to binge alcohol consumption (alcohol group), employing the DID method, and utilized in vivo calcium imaging to observe CIN activity in real time during alcohol consumption. The control (sucrose) group was exposed to 10% (w/v) sucrose. As compared to sucrose, mice in the alcohol group displayed a significant increase in the frequency and amplitude of discharge activity, which was measured using calcium transients in the CIN present in the NAcSh. In summary, our findings suggest that the activity of CIN in the NAcSh plays a crucial role in alcohol self-administration. These results emphasize the potential significance of targeting CIN activity as a therapeutic approach for addressing AUD.
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Affiliation(s)
| | | | | | | | - Mahesh Thakkar
- Harry S. Truman Memorial Veterans Hospital, Department of Neurology, University of Missouri, Columbia, MO 65201, USA; (R.S.); (A.C.); (M.P.); (D.K.)
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31
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Villegas A, Siegelbaum SA. Modulation of aggression by social novelty recognition memory in the hippocampal CA2 region. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.03.592403. [PMID: 38746353 PMCID: PMC11092780 DOI: 10.1101/2024.05.03.592403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
The dorsal CA2 subregion (dCA2) of the hippocampus exerts a critical role in social novelty recognition (SNR) memory and in the promotion of social aggression. Whether the social aggression and SNR memory functions of dCA2 are related or represent independent processes is unknown. Here we investigated the hypotheses that an animal is more likely to attack a novel compared to familiar animal and that dCA2 promotes social aggression through its ability to discriminate between novel and familiar conspecifics. To test these ideas, we conducted a multi-day resident intruder (R-I) test of aggression towards novel and familiar conspecifics. We found that mice were more likely to attack a novel compared to familiarized intruder and that silencing of dCA2 caused a more profound inhibition of aggression towards a novel than familiarized intruder. To explore whether and how dCA2 pyramidal neurons encode aggression, we recorded their activity using microendoscopic calcium imaging throughout the days of the R-I test. We found that a fraction of dCA2 neurons were selectively activated or inhibited during exploration, dominance, and attack behaviors and that these signals were enhanced during interaction with a novel compared to familiarized conspecific. Based on dCA2 population activity, a set of binary linear classifiers accurately decoded whether an animal was engaged in each of these forms of social behavior. Of particular interest, the accuracy of decoding aggression was greater with novel compared to familiarized intruders, with significant cross-day decoding using the same familiar animal on each day but not for a familiar-novel pair. Together, these findings demonstrate that dCA2 integrates information about social novelty with signals of behavioral state to promote aggression towards novel conspecifics.
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32
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Li H, Feng J, Chen M, Xin M, Chen X, Liu W, Wang L, Wang KH, He J. Cholecystokinin facilitates motor skill learning by modulating neuroplasticity in the motor cortex. eLife 2024; 13:e83897. [PMID: 38700136 PMCID: PMC11068356 DOI: 10.7554/elife.83897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 04/01/2024] [Indexed: 05/05/2024] Open
Abstract
Cholecystokinin (CCK) is an essential modulator for neuroplasticity in sensory and emotional domains. Here, we investigated the role of CCK in motor learning using a single pellet reaching task in mice. Mice with a knockout of Cck gene (Cck-/-) or blockade of CCK-B receptor (CCKBR) showed defective motor learning ability; the success rate of retrieving reward remained at the baseline level compared to the wildtype mice with significantly increased success rate. We observed no long-term potentiation upon high-frequency stimulation in the motor cortex of Cck-/- mice, indicating a possible association between motor learning deficiency and neuroplasticity in the motor cortex. In vivo calcium imaging demonstrated that the deficiency of CCK signaling disrupted the refinement of population neuronal activity in the motor cortex during motor skill training. Anatomical tracing revealed direct projections from CCK-expressing neurons in the rhinal cortex to the motor cortex. Inactivation of the CCK neurons in the rhinal cortex that project to the motor cortex bilaterally using chemogenetic methods significantly suppressed motor learning, and intraperitoneal application of CCK4, a tetrapeptide CCK agonist, rescued the motor learning deficits of Cck-/- mice. In summary, our results suggest that CCK, which could be provided from the rhinal cortex, may surpport motor skill learning by modulating neuroplasticity in the motor cortex.
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Affiliation(s)
- Hao Li
- Departments of Neuroscience and Biomedical Sciences, City University of Hong KongHong KongChina
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of SciencesHong KongChina
| | - Jingyu Feng
- Departments of Neuroscience and Biomedical Sciences, City University of Hong KongHong KongChina
| | - Mengying Chen
- Departments of Neuroscience and Biomedical Sciences, City University of Hong KongHong KongChina
| | - Min Xin
- Departments of Neuroscience and Biomedical Sciences, City University of Hong KongHong KongChina
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of SciencesHong KongChina
| | - Xi Chen
- Departments of Neuroscience and Biomedical Sciences, City University of Hong KongHong KongChina
| | - Wenhao Liu
- Departments of Neuroscience and Biomedical Sciences, City University of Hong KongHong KongChina
| | - Liping Wang
- The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesShenzhenChina
| | - Kuan Hong Wang
- Department of Neuroscience, Del Monte Institute for Neuroscience, University of Rochester Medical CenterRochesterUnited States
| | - Jufang He
- Departments of Neuroscience and Biomedical Sciences, City University of Hong KongHong KongChina
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of SciencesHong KongChina
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33
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Zhang X, Cao Q, Gao K, Chen C, Cheng S, Li A, Zhou Y, Liu R, Hao J, Kropff E, Miao C. Multiplexed representation of others in the hippocampal CA1 subfield of female mice. Nat Commun 2024; 15:3702. [PMID: 38697969 PMCID: PMC11065873 DOI: 10.1038/s41467-024-47453-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 04/02/2024] [Indexed: 05/05/2024] Open
Abstract
Hippocampal place cells represent the position of a rodent within an environment. In addition, recent experiments show that the CA1 subfield of a passive observer also represents the position of a conspecific performing a spatial task. However, whether this representation is allocentric, egocentric or mixed is less clear. In this study we investigated the representation of others during free behavior and in a task where female mice learned to follow a conspecific for a reward. We found that most cells represent the position of others relative to self-position (social-vector cells) rather than to the environment, with a prevalence of purely egocentric coding modulated by context and mouse identity. Learning of a pursuit task improved the tuning of social-vector cells, but their number remained invariant. Collectively, our results suggest that the hippocampus flexibly codes the position of others in multiple coordinate systems, albeit favoring the self as a reference point.
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Affiliation(s)
- Xiang Zhang
- State key laboratory of Membrane biology, School of Life Sciences, Peking university, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking university, Beijing, 100871, China
| | - Qichen Cao
- State key laboratory of Membrane biology, School of Life Sciences, Peking university, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking university, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Beijing, 100871, China
| | - Kai Gao
- State key laboratory of Membrane biology, School of Life Sciences, Peking university, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking university, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Beijing, 100871, China
| | - Cong Chen
- State key laboratory of Membrane biology, School of Life Sciences, Peking university, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking university, Beijing, 100871, China
| | - Sihui Cheng
- State key laboratory of Membrane biology, School of Life Sciences, Peking university, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking university, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Beijing, 100871, China
| | - Ang Li
- State key laboratory of Membrane biology, School of Life Sciences, Peking university, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking university, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Beijing, 100871, China
| | - Yuqian Zhou
- State key laboratory of Membrane biology, School of Life Sciences, Peking university, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking university, Beijing, 100871, China
| | - Ruojin Liu
- State key laboratory of Membrane biology, School of Life Sciences, Peking university, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking university, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Beijing, 100871, China
| | - Jun Hao
- State key laboratory of Membrane biology, School of Life Sciences, Peking university, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking university, Beijing, 100871, China
- Peking-Tsinghua Center for Life Sciences, Beijing, 100871, China
| | - Emilio Kropff
- Leloir Institute/IIBBA-CONICET, Buenos Aires, Argentina.
| | - Chenglin Miao
- State key laboratory of Membrane biology, School of Life Sciences, Peking university, Beijing, 100871, China.
- PKU-IDG/McGovern Institute for Brain Research, Peking university, Beijing, 100871, China.
- Peking-Tsinghua Center for Life Sciences, Beijing, 100871, China.
- Chinese Institute for Brain Research (CIBR), Beijing, China.
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Mocle AJ, Ramsaran AI, Jacob AD, Rashid AJ, Luchetti A, Tran LM, Richards BA, Frankland PW, Josselyn SA. Excitability mediates allocation of pre-configured ensembles to a hippocampal engram supporting contextual conditioned threat in mice. Neuron 2024; 112:1487-1497.e6. [PMID: 38447576 PMCID: PMC11065628 DOI: 10.1016/j.neuron.2024.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 01/08/2024] [Accepted: 02/05/2024] [Indexed: 03/08/2024]
Abstract
Little is understood about how engrams, sparse groups of neurons that store memories, are formed endogenously. Here, we combined calcium imaging, activity tagging, and optogenetics to examine the role of neuronal excitability and pre-existing functional connectivity on the allocation of mouse cornu ammonis area 1 (CA1) hippocampal neurons to an engram ensemble supporting a contextual threat memory. Engram neurons (high activity during recall or TRAP2-tagged during training) were more active than non-engram neurons 3 h (but not 24 h to 5 days) before training. Consistent with this, optogenetically inhibiting scFLARE2-tagged neurons active in homecage 3 h, but not 24 h, before conditioning disrupted memory retrieval, indicating that neurons with higher pre-training excitability were allocated to the engram. We also observed stable pre-configured functionally connected sub-ensembles of neurons whose activity cycled over days. Sub-ensembles that were more active before training were allocated to the engram, and their functional connectivity increased at training. Therefore, both neuronal excitability and pre-configured functional connectivity mediate allocation to an engram ensemble.
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Affiliation(s)
- Andrew J Mocle
- Program in Neurosciences & Mental Health, Hospital for Sick Children, 555 University Ave., Toronto, ON M5G 1X8, Canada; Department of Physiology, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Adam I Ramsaran
- Program in Neurosciences & Mental Health, Hospital for Sick Children, 555 University Ave., Toronto, ON M5G 1X8, Canada; Department of Psychology, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Alexander D Jacob
- Program in Neurosciences & Mental Health, Hospital for Sick Children, 555 University Ave., Toronto, ON M5G 1X8, Canada; Department of Psychology, University of Toronto, Toronto, ON M5G 1X8, Canada
| | - Asim J Rashid
- Program in Neurosciences & Mental Health, Hospital for Sick Children, 555 University Ave., Toronto, ON M5G 1X8, Canada
| | - Alessandro Luchetti
- Program in Neurosciences & Mental Health, Hospital for Sick Children, 555 University Ave., Toronto, ON M5G 1X8, Canada
| | - Lina M Tran
- Program in Neurosciences & Mental Health, Hospital for Sick Children, 555 University Ave., Toronto, ON M5G 1X8, Canada; Department of Physiology, University of Toronto, Toronto, ON M5G 1X8, Canada; Vector Institute, Toronto, ON M5G 1M1, Canada
| | | | - Paul W Frankland
- Program in Neurosciences & Mental Health, Hospital for Sick Children, 555 University Ave., Toronto, ON M5G 1X8, Canada; Department of Physiology, University of Toronto, Toronto, ON M5G 1X8, Canada; Department of Psychology, University of Toronto, Toronto, ON M5G 1X8, Canada; Child & Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, ON M5G 1M1, Canada
| | - Sheena A Josselyn
- Program in Neurosciences & Mental Health, Hospital for Sick Children, 555 University Ave., Toronto, ON M5G 1X8, Canada; Department of Physiology, University of Toronto, Toronto, ON M5G 1X8, Canada; Department of Psychology, University of Toronto, Toronto, ON M5G 1X8, Canada.
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35
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Bhandare AM, Dale N, Huckstepp RTR. Imaging Single-Cell Ca 2+ Dynamics of Brainstem Neurons and Glia in Freely Behaving Mice. Bio Protoc 2024; 14:e4973. [PMID: 38737784 PMCID: PMC11082788 DOI: 10.21769/bioprotoc.4973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 05/14/2024] Open
Abstract
In vivo brain imaging, using a combination of genetically encoded Ca2+ indicators and gradient refractive index (GRIN) lens, is a transformative technology that has become an increasingly potent research tool over the last decade. It allows direct visualisation of the dynamic cellular activity of deep brain neurons and glia in conscious animals and avoids the effect of anaesthesia on the network. This technique provides a step change in brain imaging where fibre photometry combines the whole ensemble of cellular activity, and multiphoton microscopy is limited to imaging superficial brain structures either under anaesthesia or in head-restrained conditions. We have refined the intravital imaging technique to image deep brain nuclei in the ventral medulla oblongata, one of the most difficult brain structures to image due to the movement of brainstem structures outside the cranial cavity during free behaviour (head and neck movement), whose targeting requires GRIN lens insertion through the cerebellum-a key structure for balance and movement. Our protocol refines the implantation method of GRIN lenses, giving the best possible approach to image deep extracranial brainstem structures in awake rodents with improved cell rejection/acceptance criteria during analysis. We have recently reported this method for imaging the activity of retrotrapezoid nucleus and raphe neurons to outline their chemosensitive characteristics. This revised method paves the way to image challenging brainstem structures to investigate their role in complex behaviours such as breathing, circulation, sleep, digestion, and swallowing, and could be extended to image and study the role of cerebellum in balance, movement, motor learning, and beyond. Key features • We developed a protocol that allows imaging from brainstem neurons and glia in freely behaving rodents. • Our refined method of GRIN lenses implantation and cell sorting approach gives the highest number of cells with the least postoperative complications. • The revised deep brainstem imaging method paves way to understand complex behaviours such as cardiorespiratory regulation, sleep, swallowing, and digestion. • Our protocol can be implemented to image cerebellar structures to understand their role in key functions such as balance, movement, motor learning, and more.
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Affiliation(s)
| | - Nicholas Dale
- School of Life Sciences, University of Warwick, Coventry, UK
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36
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Boyle LM, Posani L, Irfan S, Siegelbaum SA, Fusi S. Tuned geometries of hippocampal representations meet the computational demands of social memory. Neuron 2024; 112:1358-1371.e9. [PMID: 38382521 PMCID: PMC11186585 DOI: 10.1016/j.neuron.2024.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 11/03/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024]
Abstract
Social memory consists of two processes: the detection of familiar compared with novel conspecifics and the detailed recollection of past social episodes. We investigated the neural bases for these processes using calcium imaging of dorsal CA2 hippocampal pyramidal neurons, known to be important for social memory, during social/spatial encounters with novel conspecifics and familiar littermates. Whereas novel individuals were represented in a low-dimensional geometry that allows for generalization of social identity across different spatial locations and of location across different identities, littermates were represented in a higher-dimensional geometry that supports high-capacity memory storage. Moreover, familiarity was represented in an abstract format, independent of individual identity. The degree to which familiarity increased the dimensionality of CA2 representations for individual mice predicted their performance in a social novelty recognition memory test. Thus, by tuning the geometry of structured neural activity, CA2 is able to meet the demands of distinct social memory processes.
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Affiliation(s)
- Lara M Boyle
- Department of Neuroscience, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10027, USA
| | - Lorenzo Posani
- Center for Theoretical Neuroscience, Columbia University, New York, NY 10027, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
| | | | - Steven A Siegelbaum
- Department of Neuroscience, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10027, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Department of Pharmacology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10027, USA.
| | - Stefano Fusi
- Department of Neuroscience, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10027, USA; Center for Theoretical Neuroscience, Columbia University, New York, NY 10027, USA; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Kavli Institute for Brain Science, Columbia University, New York, NY 10027, USA.
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37
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Zeng YF, Yang KX, Cui Y, Zhu XN, Li R, Zhang H, Wu DC, Stevens RC, Hu J, Zhou N. Conjunctive encoding of exploratory intentions and spatial information in the hippocampus. Nat Commun 2024; 15:3221. [PMID: 38622129 PMCID: PMC11018604 DOI: 10.1038/s41467-024-47570-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 04/02/2024] [Indexed: 04/17/2024] Open
Abstract
The hippocampus creates a cognitive map of the external environment by encoding spatial and self-motion-related information. However, it is unclear whether hippocampal neurons could also incorporate internal cognitive states reflecting an animal's exploratory intention, which is not driven by rewards or unexpected sensory stimuli. In this study, a subgroup of CA1 neurons was found to encode both spatial information and animals' investigatory intentions in male mice. These neurons became active before the initiation of exploration behaviors at specific locations and were nearly silent when the same fields were traversed without exploration. Interestingly, this neuronal activity could not be explained by object features, rewards, or mismatches in environmental cues. Inhibition of the lateral entorhinal cortex decreased the activity of these cells during exploration. Our findings demonstrate that hippocampal neurons may bridge external and internal signals, indicating a potential connection between spatial representation and intentional states in the construction of internal navigation systems.
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Affiliation(s)
- Yi-Fan Zeng
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Ke-Xin Yang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Yilong Cui
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Xiao-Na Zhu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Rui Li
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Hanqing Zhang
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
| | - Dong Chuan Wu
- Neuroscience and Brain Disease Center, Graduate Institute of Biomedical Sciences, China Medical University, Taichung City, 404333, Taiwan
- Translational Medicine Research Center, China Medical University Hospital, Taichung City, 404333, Taiwan
| | - Raymond C Stevens
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Ji Hu
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Ning Zhou
- iHuman Institute, ShanghaiTech University, Shanghai, 201210, China.
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38
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Ramos A, Ishizuka K, Hayashida A, Namkung H, Hayes LN, Srivastava R, Zhang M, Kariya T, Elkins N, Palen T, Carloni E, Tsujimura T, Calva C, Ikemoto S, Rais R, Slusher BS, Niwa M, Saito A, Saitoh T, Takimoto E, Sawa A. Nuclear GAPDH in cortical microglia mediates cellular stress-induced cognitive inflexibility. Mol Psychiatry 2024:10.1038/s41380-024-02553-1. [PMID: 38615102 DOI: 10.1038/s41380-024-02553-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 03/12/2024] [Accepted: 04/05/2024] [Indexed: 04/15/2024]
Abstract
We report a mechanism that underlies stress-induced cognitive inflexibility at the molecular level. In a mouse model under subacute cellular stress in which deficits in rule shifting tasks were elicited, the nuclear glyceraldehyde dehydrogenase (N-GAPDH) cascade was activated specifically in microglia in the prelimbic cortex. The cognitive deficits were normalized with a pharmacological intervention with a compound (the RR compound) that selectively blocked the initiation of N-GAPDH cascade without affecting glycolytic activity. The normalization was also observed with a microglia-specific genetic intervention targeting the N-GAPDH cascade. At the mechanistic levels, the microglial secretion of High-Mobility Group Box (HMGB), which is known to bind with and regulate the NMDA-type glutamate receptors, was elevated. Consequently, the hyperactivation of the prelimbic layer 5 excitatory neurons, a neural substrate for cognitive inflexibility, was also observed. The upregulation of the microglial HMGB signaling and neuronal hyperactivation were normalized by the pharmacological and microglia-specific genetic interventions. Taken together, we show a pivotal role of cortical microglia and microglia-neuron interaction in stress-induced cognitive inflexibility. We underscore the N-GAPDH cascade in microglia, which causally mediates stress-induced cognitive alteration.
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Affiliation(s)
- Adriana Ramos
- Departments of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Koko Ishizuka
- Departments of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Arisa Hayashida
- Departments of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- International Collaborative Research Administration, Juntendo University, Tokyo, Japan
| | - Ho Namkung
- Departments of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lindsay N Hayes
- Departments of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Rupali Srivastava
- Departments of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Manling Zhang
- Departments of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Taro Kariya
- Departments of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Noah Elkins
- Departments of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Trexy Palen
- Departments of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elisa Carloni
- Departments of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tsuyoshi Tsujimura
- Departments of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Coleman Calva
- Neurocircuitry of Motivation Section, National Institute on Drug Abuse, Baltimore, MD, USA
| | - Satoshi Ikemoto
- Neurocircuitry of Motivation Section, National Institute on Drug Abuse, Baltimore, MD, USA
| | - Rana Rais
- Departments of Pharmacology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Departments of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Barbara S Slusher
- Departments of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Departments of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Departments of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Departments of Pharmacology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Departments of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Minae Niwa
- Departments of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Atsushi Saito
- Departments of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Eiki Takimoto
- Departments of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Akira Sawa
- Departments of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Departments of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Departments of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Departments of Pharmacology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Departments of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
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39
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Chettih SN, Mackevicius EL, Hale S, Aronov D. Barcoding of episodic memories in the hippocampus of a food-caching bird. Cell 2024; 187:1922-1935.e20. [PMID: 38554707 PMCID: PMC11015962 DOI: 10.1016/j.cell.2024.02.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 11/28/2023] [Accepted: 02/23/2024] [Indexed: 04/02/2024]
Abstract
The hippocampus is critical for episodic memory. Although hippocampal activity represents place and other behaviorally relevant variables, it is unclear how it encodes numerous memories of specific events in life. To study episodic coding, we leveraged the specialized behavior of chickadees-food-caching birds that form memories at well-defined moments in time whenever they cache food for subsequent retrieval. Our recordings during caching revealed very sparse, transient barcode-like patterns of firing across hippocampal neurons. Each "barcode" uniquely represented a caching event and transiently reactivated during the retrieval of that specific cache. Barcodes co-occurred with the conventional activity of place cells but were uncorrelated even for nearby cache locations that had similar place codes. We propose that animals recall episodic memories by reactivating hippocampal barcodes. Similarly to computer hash codes, these patterns assign unique identifiers to different events and could be a mechanism for rapid formation and storage of many non-interfering memories.
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Affiliation(s)
- Selmaan N Chettih
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
| | - Emily L Mackevicius
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Basis Research Institute, New York, NY 10027, USA
| | - Stephanie Hale
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
| | - Dmitriy Aronov
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
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40
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Gau YTA, Hsu ET, Cha RJ, Pak RW, Looger LL, Kang JU, Bergles DE. Multicore fiber optic imaging reveals that astrocyte calcium activity in the mouse cerebral cortex is modulated by internal motivational state. Nat Commun 2024; 15:3039. [PMID: 38589390 PMCID: PMC11002016 DOI: 10.1038/s41467-024-47345-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 03/25/2024] [Indexed: 04/10/2024] Open
Abstract
Astrocytes are a direct target of neuromodulators and can influence neuronal activity on broad spatial and temporal scales in response to a rise in cytosolic calcium. However, our knowledge about how astrocytes are recruited during different animal behaviors remains limited. To measure astrocyte activity calcium in vivo during normative behaviors, we utilize a high-resolution, long working distance multicore fiber optic imaging system that allows visualization of individual astrocyte calcium transients in the cerebral cortex of freely moving mice. We define the spatiotemporal dynamics of astrocyte calcium changes during diverse behaviors, ranging from sleep-wake cycles to the exploration of novel objects, showing that their activity is more variable and less synchronous than apparent in head-immobilized imaging conditions. In accordance with their molecular diversity, individual astrocytes often exhibit distinct thresholds and activity patterns during explorative behaviors, allowing temporal encoding across the astrocyte network. Astrocyte calcium events were induced by noradrenergic and cholinergic systems and modulated by internal state. The distinct activity patterns exhibited by astrocytes provides a means to vary their neuromodulatory influence in different behavioral contexts and internal states.
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Affiliation(s)
- Yung-Tian A Gau
- The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA.
| | - Eric T Hsu
- The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA
| | - Richard J Cha
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Rebecca W Pak
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Loren L Looger
- Howard Hughes Medical Institute, Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Jin U Kang
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
- Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD, USA.
| | - Dwight E Bergles
- The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA.
- Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD, USA.
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41
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Xia F, Rimoli CV, Akemann W, Ventalon C, Bourdieu L, Gigan S, de Aguiar HB. Neurophotonics beyond the Surface: Unmasking the Brain's Complexity Exploiting Optical Scattering. ARXIV 2024:arXiv:2403.14809v1. [PMID: 38562443 PMCID: PMC10984001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The intricate nature of the brain necessitates the application of advanced probing techniques to comprehensively study and understand its working mechanisms. Neurophotonics offers minimally invasive methods to probe the brain using optics at cellular and even molecular levels. However, multiple challenges persist, especially concerning imaging depth, field of view, speed, and biocompatibility. A major hindrance to solving these challenges in optics is the scattering nature of the brain. This perspective highlights the potential of complex media optics, a specialized area of study focused on light propagation in materials with intricate heterogeneous optical properties, in advancing and improving neuronal readouts for structural imaging and optical recordings of neuronal activity. Key strategies include wavefront shaping techniques and computational imaging and sensing techniques that exploit scattering properties for enhanced performance. We discuss the potential merger of the two fields as well as potential challenges and perspectives toward longer term in vivo applications.
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Affiliation(s)
- Fei Xia
- Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 rue Lhomond, 75005 Paris, France
| | - Caio Vaz Rimoli
- Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 rue Lhomond, 75005 Paris, France
- Institut de Biologie de l'ENS (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France
| | - Walther Akemann
- Institut de Biologie de l'ENS (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France
| | - Cathie Ventalon
- Institut de Biologie de l'ENS (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France
| | - Laurent Bourdieu
- Institut de Biologie de l'ENS (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France
| | - Sylvain Gigan
- Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 rue Lhomond, 75005 Paris, France
| | - Hilton B de Aguiar
- Laboratoire Kastler Brossel, ENS-Université PSL, CNRS, Sorbonne Université, Collège de France, 24 rue Lhomond, 75005 Paris, France
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42
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Patel RR, Patarino M, Kim K, Pamintuan R, Taschbach FH, Li H, Lee CR, van Hoek A, Castro R, Cazares C, Miranda RL, Jia C, Delahanty J, Batra K, Keyes LR, Libster A, Wichmann R, Pereira TD, Benna MK, Tye KM. Social isolation recruits amygdala-cortical circuitry to escalate alcohol drinking. RESEARCH SQUARE 2024:rs.3.rs-4033115. [PMID: 38562728 PMCID: PMC10984017 DOI: 10.21203/rs.3.rs-4033115/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
How do social factors impact the brain and contribute to increased alcohol drinking? We found that social rank predicts alcohol drinking, where subordinates drink more than dominants. Furthermore, social isolation escalates alcohol drinking, particularly impacting subordinates who display a greater increase in alcohol drinking compared to dominants. Using cellular resolution calcium imaging, we show that the basolateral amygdala-medial prefrontal cortex (BLA-mPFC) circuit predicts alcohol drinking in a rank-dependent manner, unlike non-specific BLA activity. The BLA-mPFC circuit becomes hyperexcitable during social isolation, detecting social isolation states. Mimicking the observed increases in BLA-mPFC activity using optogenetics was sufficient to increase alcohol drinking, suggesting the BLA-mPFC circuit may be a neural substrate for the negative impact of social isolation. To test the hypothesis that the BLA-mPFC circuit conveys a signal induced by social isolation to motivate alcohol consumption, we first determined if this circuit detects social information. Leveraging optogenetics in combination with calcium imaging and computer vision pose tracking, we found that BLA-mPFC circuitry governs social behavior and neural representation of social contact. We further show that BLA-mPFC stimulation mimics social isolation-induced mPFC encoding of sucrose and alcohol, and inhibition of the BLA-mPFC circuit decreases alcohol drinking following social isolation. Collectively, these data suggest the amygdala-cortical circuit mirrors a neural encoding state similar to social isolation and underlies social isolation-associated alcohol drinking.
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Affiliation(s)
- Reesha R. Patel
- Salk Institute for Biological Studies, La Jolla, CA, USA
- Center for Psychiatric Neuroscience, Northwestern University, Chicago, IL, USA
| | | | - Kelly Kim
- Salk Institute for Biological Studies, La Jolla, CA, USA
- Howard Hughes at Salk Institute, La Jolla, CA, USA
| | | | - Felix H. Taschbach
- Salk Institute for Biological Studies, La Jolla, CA, USA
- University of California San Diego, La Jolla, CA, USA
| | - Hao Li
- Salk Institute for Biological Studies, La Jolla, CA, USA
- Center for Psychiatric Neuroscience, Northwestern University, Chicago, IL, USA
| | - Christopher R. Lee
- Salk Institute for Biological Studies, La Jolla, CA, USA
- University of California San Diego, La Jolla, CA, USA
| | - Aniek van Hoek
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Rogelio Castro
- Salk Institute for Biological Studies, La Jolla, CA, USA
- University of California San Diego, La Jolla, CA, USA
| | | | - Raymundo L. Miranda
- Salk Institute for Biological Studies, La Jolla, CA, USA
- University of California San Diego, La Jolla, CA, USA
| | - Caroline Jia
- Salk Institute for Biological Studies, La Jolla, CA, USA
- University of California San Diego, La Jolla, CA, USA
| | | | - Kanha Batra
- Salk Institute for Biological Studies, La Jolla, CA, USA
- University of California San Diego, La Jolla, CA, USA
| | - Laurel R. Keyes
- Salk Institute for Biological Studies, La Jolla, CA, USA
- Howard Hughes at Salk Institute, La Jolla, CA, USA
| | - Avraham Libster
- Salk Institute for Biological Studies, La Jolla, CA, USA
- University of California San Diego, La Jolla, CA, USA
| | - Romy Wichmann
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | | | - Kay M. Tye
- Salk Institute for Biological Studies, La Jolla, CA, USA
- University of California San Diego, La Jolla, CA, USA
- Howard Hughes at Salk Institute, La Jolla, CA, USA
- Howard Hughes Investigator and Wylie Vale Professor at Salk Institute, La Jolla, CA, USA
- Kavli Institute for the Brain and Mind, La Jolla, CA, USA
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Mendonça MD, da Silva JA, Hernandez LF, Castela I, Obeso J, Costa RM. Dopamine neuron activity encodes the length of upcoming contralateral movement sequences. Curr Biol 2024; 34:1034-1047.e4. [PMID: 38377999 PMCID: PMC10931818 DOI: 10.1016/j.cub.2024.01.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 12/01/2023] [Accepted: 01/26/2024] [Indexed: 02/22/2024]
Abstract
Dopaminergic neurons (DANs) in the substantia nigra pars compacta (SNc) have been related to movement speed, and loss of these neurons leads to bradykinesia in Parkinson's disease (PD). However, other aspects of movement vigor are also affected in PD; for example, movement sequences are typically shorter. However, the relationship between the activity of DANs and the length of movement sequences is unknown. We imaged activity of SNc DANs in mice trained in a freely moving operant task, which relies on individual forelimb sequences. We uncovered a similar proportion of SNc DANs increasing their activity before either ipsilateral or contralateral sequences. However, the magnitude of this activity was higher for contralateral actions and was related to contralateral but not ipsilateral sequence length. In contrast, the activity of reward-modulated DANs, largely distinct from those modulated by movement, was not lateralized. Finally, unilateral dopamine depletion impaired contralateral, but not ipsilateral, sequence length. These results indicate that movement-initiation DANs encode more than a general motivation signal and invigorate aspects of contralateral movements.
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Affiliation(s)
- Marcelo D Mendonça
- Champalimaud Research, Champalimaud Foundation, 1400 038 Lisbon, Portugal; Champalimaud Clinical Centre, Champalimaud Foundation, 1400 038 Lisbon, Portugal; NOVA Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon 1169 056, Portugal
| | - Joaquim Alves da Silva
- Champalimaud Research, Champalimaud Foundation, 1400 038 Lisbon, Portugal; NOVA Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon 1169 056, Portugal
| | - Ledia F Hernandez
- HM CINAC, Centro Integral de Neurociencias AC, Fundación de Investigación HM Hospitales, Madrid 28938, Spain; Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), Carlos III Institute of Health, Madrid 28029, Spain; Universidad CEU San Pablo, Madrid 28003, Spain
| | - Ivan Castela
- HM CINAC, Centro Integral de Neurociencias AC, Fundación de Investigación HM Hospitales, Madrid 28938, Spain; Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), Carlos III Institute of Health, Madrid 28029, Spain; PhD Program in Neuroscience, Autonoma de Madrid University, Madrid 28029, Spain
| | - José Obeso
- HM CINAC, Centro Integral de Neurociencias AC, Fundación de Investigación HM Hospitales, Madrid 28938, Spain; Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), Carlos III Institute of Health, Madrid 28029, Spain; Universidad CEU San Pablo, Madrid 28003, Spain; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Rui M Costa
- Champalimaud Research, Champalimaud Foundation, 1400 038 Lisbon, Portugal; Departments of Neuroscience and Neurology, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Allen Institute, Seattle, WA 98109, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
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Muysers H, Chen HL, Hahn J, Folschweiller S, Sigurdsson T, Sauer JF, Bartos M. A persistent prefrontal reference frame across time and task rules. Nat Commun 2024; 15:2115. [PMID: 38459033 PMCID: PMC10923947 DOI: 10.1038/s41467-024-46350-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 02/22/2024] [Indexed: 03/10/2024] Open
Abstract
Behavior can be remarkably consistent, even over extended time periods, yet whether this is reflected in stable or 'drifting' neuronal responses to task features remains controversial. Here, we find a persistently active ensemble of neurons in the medial prefrontal cortex (mPFC) of mice that reliably maintains trajectory-specific tuning over several weeks while performing an olfaction-guided spatial memory task. This task-specific reference frame is stabilized during learning, upon which repeatedly active neurons show little representational drift and maintain their trajectory-specific tuning across long pauses in task exposure and across repeated changes in cue-target location pairings. These data thus suggest a 'core ensemble' of prefrontal neurons forming a reference frame of task-relevant space for the performance of consistent behavior over extended periods of time.
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Affiliation(s)
- Hannah Muysers
- Institute for Physiology I, Medical Faculty, Albert-Ludwigs-University Freiburg, Freiburg im Breisgau, Germany
- Faculty of Biology, Albert-Ludwigs-University Freiburg, Freiburg im Breisgau, Germany
| | - Hung-Ling Chen
- Institute for Physiology I, Medical Faculty, Albert-Ludwigs-University Freiburg, Freiburg im Breisgau, Germany
| | - Johannes Hahn
- Institute of Neurophysiology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Shani Folschweiller
- Institute for Physiology I, Medical Faculty, Albert-Ludwigs-University Freiburg, Freiburg im Breisgau, Germany
- Faculty of Biology, Albert-Ludwigs-University Freiburg, Freiburg im Breisgau, Germany
- Sleep-Wake-Epilepsy Center and Center for Experimental Neurology, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Torfi Sigurdsson
- Institute of Neurophysiology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Jonas-Frederic Sauer
- Institute for Physiology I, Medical Faculty, Albert-Ludwigs-University Freiburg, Freiburg im Breisgau, Germany.
| | - Marlene Bartos
- Institute for Physiology I, Medical Faculty, Albert-Ludwigs-University Freiburg, Freiburg im Breisgau, Germany.
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Reis FMCV, Maesta-Pereira S, Ollivier M, Schuette PJ, Sethi E, Miranda BA, Iniguez E, Chakerian M, Vaughn E, Sehgal M, Nguyen DCT, Yuan FTH, Torossian A, Ikebara JM, Kihara AH, Silva AJ, Kao JC, Khakh BS, Adhikari A. Control of feeding by a bottom-up midbrain-subthalamic pathway. Nat Commun 2024; 15:2111. [PMID: 38454000 PMCID: PMC10920831 DOI: 10.1038/s41467-024-46430-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 02/26/2024] [Indexed: 03/09/2024] Open
Abstract
Investigative exploration and foraging leading to food consumption have vital importance, but are not well-understood. Since GABAergic inputs to the lateral and ventrolateral periaqueductal gray (l/vlPAG) control such behaviors, we dissected the role of vgat-expressing GABAergic l/vlPAG cells in exploration, foraging and hunting. Here, we show that in mice vgat l/vlPAG cells encode approach to food and consumption of both live prey and non-prey foods. The activity of these cells is necessary and sufficient for inducing food-seeking leading to subsequent consumption. Activation of vgat l/vlPAG cells produces exploratory foraging and compulsive eating without altering defensive behaviors. Moreover, l/vlPAG vgat cells are bidirectionally interconnected to several feeding, exploration and investigation nodes, including the zona incerta. Remarkably, the vgat l/vlPAG projection to the zona incerta bidirectionally controls approach towards food leading to consumption. These data indicate the PAG is not only a final downstream target of top-down exploration and foraging-related inputs, but that it also influences these behaviors through a bottom-up pathway.
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Affiliation(s)
- Fernando M C V Reis
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
| | - Sandra Maesta-Pereira
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Matthias Ollivier
- Department of Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Peter J Schuette
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Ekayana Sethi
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Blake A Miranda
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Emily Iniguez
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Meghmik Chakerian
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Eric Vaughn
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Megha Sehgal
- Department of Neurobiology, University of California, Los Angeles, Los Angeles, USA
| | - Darren C T Nguyen
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Faith T H Yuan
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Anita Torossian
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Juliane M Ikebara
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo, SP, 09606-070, Brazil
| | - Alexandre H Kihara
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo, SP, 09606-070, Brazil
| | - Alcino J Silva
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Neurobiology, University of California, Los Angeles, Los Angeles, USA
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, USA
| | - Jonathan C Kao
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Baljit S Khakh
- Department of Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Avishek Adhikari
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
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Zachry JE, Kutlu MG, Yoon HJ, Leonard MZ, Chevée M, Patel DD, Gaidici A, Kondev V, Thibeault KC, Bethi R, Tat J, Melugin PR, Isiktas AU, Joffe ME, Cai DJ, Conn PJ, Grueter BA, Calipari ES. D1 and D2 medium spiny neurons in the nucleus accumbens core have distinct and valence-independent roles in learning. Neuron 2024; 112:835-849.e7. [PMID: 38134921 PMCID: PMC10939818 DOI: 10.1016/j.neuron.2023.11.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 10/03/2023] [Accepted: 11/22/2023] [Indexed: 12/24/2023]
Abstract
At the core of value-based learning is the nucleus accumbens (NAc). D1- and D2-receptor-containing medium spiny neurons (MSNs) in the NAc core are hypothesized to have opposing valence-based roles in behavior. Using optical imaging and manipulation approaches in mice, we show that neither D1 nor D2 MSNs signal valence. D1 MSN responses were evoked by stimuli regardless of valence or contingency. D2 MSNs were evoked by both cues and outcomes, were dynamically changed with learning, and tracked valence-free prediction error at the population and individual neuron level. Finally, D2 MSN responses to cues were necessary for associative learning. Thus, D1 and D2 MSNs work in tandem, rather than in opposition, by signaling specific properties of stimuli to control learning.
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Affiliation(s)
- Jennifer E Zachry
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Munir Gunes Kutlu
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Hye Jean Yoon
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Michael Z Leonard
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Maxime Chevée
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Dev D Patel
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Anthony Gaidici
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Veronika Kondev
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Kimberly C Thibeault
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Rishik Bethi
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Jennifer Tat
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Patrick R Melugin
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Atagun U Isiktas
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA; Department of Neuroscience, Yale University, New Haven, CT 06520, USA
| | - Max E Joffe
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Denise J Cai
- Nash Family Department of Neuroscience, Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
| | - P Jeffrey Conn
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA
| | - Brad A Grueter
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Erin S Calipari
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232, USA; Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232, USA.
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Manley J, Vaziri A. Whole-brain neural substrates of behavioral variability in the larval zebrafish. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.03.583208. [PMID: 38496592 PMCID: PMC10942351 DOI: 10.1101/2024.03.03.583208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Animals engaged in naturalistic behavior can exhibit a large degree of behavioral variability even under sensory invariant conditions. Such behavioral variability can include not only variations of the same behavior, but also variability across qualitatively different behaviors driven by divergent cognitive states, such as fight-or-flight decisions. However, the neural circuit mechanisms that generate such divergent behaviors across trials are not well understood. To investigate this question, here we studied the visual-evoked responses of larval zebrafish to moving objects of various sizes, which we found exhibited highly variable and divergent responses across repetitions of the same stimulus. Given that the neuronal circuits underlying such behaviors span sensory, motor, and other brain areas, we built a novel Fourier light field microscope which enables high-resolution, whole-brain imaging of larval zebrafish during behavior. This enabled us to screen for neural loci which exhibited activity patterns correlated with behavioral variability. We found that despite the highly variable activity of single neurons, visual stimuli were robustly encoded at the population level, and the visual-encoding dimensions of neural activity did not explain behavioral variability. This robustness despite apparent single neuron variability was due to the multi-dimensional geometry of the neuronal population dynamics: almost all neural dimensions that were variable across individual trials, i.e. the "noise" modes, were orthogonal to those encoding for sensory information. Investigating this neuronal variability further, we identified two sparsely-distributed, brain-wide neuronal populations whose pre-motor activity predicted whether the larva would respond to a stimulus and, if so, which direction it would turn on a single-trial level. These populations predicted single-trial behavior seconds before stimulus onset, indicating they encoded time-varying internal modulating behavior, perhaps organizing behavior over longer timescales or enabling flexible behavior routines dependent on the animal's internal state. Our results provide the first whole-brain confirmation that sensory, motor, and internal variables are encoded in a highly mixed fashion throughout the brain and demonstrate that de-mixing each of these components at the neuronal population level is critical to understanding the mechanisms underlying the brain's remarkable flexibility and robustness.
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Affiliation(s)
- Jason Manley
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA
- The Kavli Neural Systems Institute, The Rockefeller University, New York, NY 10065, USA
| | - Alipasha Vaziri
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA
- The Kavli Neural Systems Institute, The Rockefeller University, New York, NY 10065, USA
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48
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Borzou A, Miller SN, Hommel JD, Schwarz JM. Cocaine diminishes functional network robustness and destabilizes the energy landscape of neuronal activity in the medial prefrontal cortex. PNAS NEXUS 2024; 3:pgae092. [PMID: 38476665 PMCID: PMC10929585 DOI: 10.1093/pnasnexus/pgae092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 02/13/2024] [Indexed: 03/14/2024]
Abstract
We present analysis of neuronal activity recordings from a subset of neurons in the medial prefrontal cortex of rats before and after the administration of cocaine. Using an underlying modern Hopfield model as a description for the neuronal network, combined with a machine learning approach, we compute the underlying functional connectivity of the neuronal network. We find that the functional connectivity changes after the administration of cocaine with both functional-excitatory and functional-inhibitory neurons being affected. Using conventional network analysis, we find that the diameter of the graph, or the shortest length between the two most distant nodes, increases with cocaine, suggesting that the neuronal network is less robust. We also find that the betweenness centrality scores for several of the functional-excitatory and functional-inhibitory neurons decrease significantly, while other scores remain essentially unchanged, to also suggest that the neuronal network is less robust. Finally, we study the distribution of neuronal activity and relate it to energy to find that cocaine drives the neuronal network towards destabilization in the energy landscape of neuronal activation. While this destabilization is presumably temporary given one administration of cocaine, perhaps this initial destabilization indicates a transition towards a new stable state with repeated cocaine administration. However, such analyses are useful more generally to understand how neuronal networks respond to perturbations.
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Affiliation(s)
- Ahmad Borzou
- Department of Physics and BioInspired Institute, Syracuse University, Syracuse, NY 13244, USA
- CompuFlair, Houston, TX 77064, USA
| | - Sierra N Miller
- Department of Pharmacology and Toxicology, Center for Addiction Sciences and Therapeutics, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Jonathan D Hommel
- Department of Pharmacology and Toxicology, Center for Addiction Sciences and Therapeutics, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - J M Schwarz
- Department of Physics and BioInspired Institute, Syracuse University, Syracuse, NY 13244, USA
- Indian Creek Farm, Ithaca, NY 14850, USA
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49
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Sun Y, Nitz DA, Xu X, Giocomo LM. Subicular neurons encode concave and convex geometries. Nature 2024; 627:821-829. [PMID: 38448584 PMCID: PMC10972755 DOI: 10.1038/s41586-024-07139-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 01/31/2024] [Indexed: 03/08/2024]
Abstract
Animals in the natural world constantly encounter geometrically complex landscapes. Successful navigation requires that they understand geometric features of these landscapes, including boundaries, landmarks, corners and curved areas, all of which collectively define the geometry of the environment1-12. Crucial to the reconstruction of the geometric layout of natural environments are concave and convex features, such as corners and protrusions. However, the neural substrates that could underlie the perception of concavity and convexity in the environment remain elusive. Here we show that the dorsal subiculum contains neurons that encode corners across environmental geometries in an allocentric reference frame. Using longitudinal calcium imaging in freely behaving mice, we find that corner cells tune their activity to reflect the geometric properties of corners, including corner angles, wall height and the degree of wall intersection. A separate population of subicular neurons encode convex corners of both larger environments and discrete objects. Both corner cells are non-overlapping with the population of subicular neurons that encode environmental boundaries. Furthermore, corner cells that encode concave or convex corners generalize their activity such that they respond, respectively, to concave or convex curvatures within an environment. Together, our findings suggest that the subiculum contains the geometric information needed to reconstruct the shape and layout of naturalistic spatial environments.
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Affiliation(s)
- Yanjun Sun
- Department of Neurobiology, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA, USA.
| | - Douglas A Nitz
- Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA
| | - Xiangmin Xu
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA, USA
- Center for Neural Circuit Mapping (CNCM), University of California, Irvine, Irvine, CA, USA
| | - Lisa M Giocomo
- Department of Neurobiology, Stanford University School of Medicine, Stanford, CA, USA.
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50
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Bak MS, Park H, Yoon H, Chung G, Shin H, Shin S, Kim TW, Lee K, Nägerl UV, Kim SJ, Kim SK. Machine learning-based evaluation of spontaneous pain and analgesics from cellular calcium signals in the mouse primary somatosensory cortex using explainable features. Front Mol Neurosci 2024; 17:1356453. [PMID: 38450042 PMCID: PMC10915002 DOI: 10.3389/fnmol.2024.1356453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 01/29/2024] [Indexed: 03/08/2024] Open
Abstract
Introduction Pain that arises spontaneously is considered more clinically relevant than pain evoked by external stimuli. However, measuring spontaneous pain in animal models in preclinical studies is challenging due to methodological limitations. To address this issue, recently we developed a deep learning (DL) model to assess spontaneous pain using cellular calcium signals of the primary somatosensory cortex (S1) in awake head-fixed mice. However, DL operate like a "black box", where their decision-making process is not transparent and is difficult to understand, which is especially evident when our DL model classifies different states of pain based on cellular calcium signals. In this study, we introduce a novel machine learning (ML) model that utilizes features that were manually extracted from S1 calcium signals, including the dynamic changes in calcium levels and the cell-to-cell activity correlations. Method We focused on observing neural activity patterns in the primary somatosensory cortex (S1) of mice using two-photon calcium imaging after injecting a calcium indicator (GCaMP6s) into the S1 cortex neurons. We extracted features related to the ratio of up and down-regulated cells in calcium activity and the correlation level of activity between cells as input data for the ML model. The ML model was validated using a Leave-One-Subject-Out Cross-Validation approach to distinguish between non-pain, pain, and drug-induced analgesic states. Results and discussion The ML model was designed to classify data into three distinct categories: non-pain, pain, and drug-induced analgesic states. Its versatility was demonstrated by successfully classifying different states across various pain models, including inflammatory and neuropathic pain, as well as confirming its utility in identifying the analgesic effects of drugs like ketoprofen, morphine, and the efficacy of magnolin, a candidate analgesic compound. In conclusion, our ML model surpasses the limitations of previous DL approaches by leveraging manually extracted features. This not only clarifies the decision-making process of the ML model but also yields insights into neuronal activity patterns associated with pain, facilitating preclinical studies of analgesics with higher potential for clinical translation.
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Affiliation(s)
- Myeong Seong Bak
- Department of Science in Korean Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea
- Division of AI and Data Analysis, Neurogrin Inc., Seoul, Republic of Korea
| | - Haney Park
- Department of Science in Korean Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea
- Division of Preclinical R&D, Neurogrin Inc., Seoul, Republic of Korea
| | - Heera Yoon
- Department of Science in Korean Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea
- Division of Preclinical R&D, Neurogrin Inc., Seoul, Republic of Korea
| | - Geehoon Chung
- Department of Physiology, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Hyunjin Shin
- Department of Science in Korean Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea
| | - Soonho Shin
- Department of Physiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Tai Wan Kim
- Department of Korean Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea
| | - Kyungjoon Lee
- Department of East-West Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea
| | - U. Valentin Nägerl
- Interdisciplinary Institute for Neuroscience, CNRS UMR 5297 and University of Bordeaux, Bordeaux, France
| | - Sang Jeong Kim
- Department of Physiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun Kwang Kim
- Department of Science in Korean Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea
- Department of Physiology, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea
- Department of East-West Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea
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