1
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Ibáñez Alcalá RJ, Beck DW, Salcido AA, Davila LD, Giri A, Heaton CN, Villarreal Rodriguez K, Rakocevic LI, Hossain SB, Reyes NF, Batson SA, Macias AY, Drammis SM, Negishi K, Zhang Q, Umashankar Beck S, Vara P, Joshi A, Franco AJ, Hernandez Carbajal BJ, Ordonez MM, Ramirez FY, Lopez JD, Lozano N, Ramirez A, Legaspy L, Cruz PL, Armenta AA, Viel SN, Aguirre JI, Quintanar O, Medina F, Ordonez PM, Munoz AE, Martínez Gaudier GE, Naime GM, Powers RE, O'Dell LE, Moschak TM, Goosens KA, Friedman A. RECORD, a high-throughput, customizable system that unveils behavioral strategies leveraged by rodents during foraging-like decision-making. Commun Biol 2024; 7:822. [PMID: 38971889 PMCID: PMC11227549 DOI: 10.1038/s42003-024-06489-8] [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: 11/22/2023] [Accepted: 06/21/2024] [Indexed: 07/08/2024] Open
Abstract
Translational studies benefit from experimental designs where laboratory organisms use human-relevant behaviors. One such behavior is decision-making, however studying complex decision-making in rodents is labor-intensive and typically restricted to two levels of cost/reward. We design a fully automated, inexpensive, high-throughput framework to study decision-making across multiple levels of rewards and costs: the REward-COst in Rodent Decision-making (RECORD) system. RECORD integrates three components: 1) 3D-printed arenas, 2) custom electronic hardware, and 3) software. We validated four behavioral protocols without employing any food or water restriction, highlighting the versatility of our system. RECORD data exposes heterogeneity in decision-making both within and across individuals that is quantifiably constrained. Using oxycodone self-administration and alcohol-consumption as test cases, we reveal how analytic approaches that incorporate behavioral heterogeneity are sensitive to detecting perturbations in decision-making. RECORD is a powerful approach to studying decision-making in rodents, with features that facilitate translational studies of decision-making in psychiatric disorders.
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Affiliation(s)
| | - Dirk W Beck
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA
| | - Alexis A Salcido
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Luis D Davila
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA
| | - Atanu Giri
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA
| | - Cory N Heaton
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | | | - Lara I Rakocevic
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA
| | - Safa B Hossain
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Neftali F Reyes
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Serina A Batson
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Andrea Y Macias
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Sabrina M Drammis
- Artificial Intelligence Laboratory, Department of Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Qingyang Zhang
- Department of Biomedical Informatics, Harvard Medical School, Cambridge, MA, USA
| | | | - Paulina Vara
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Arnav Joshi
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA
| | - Austin J Franco
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | | | - Miguel M Ordonez
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Felix Y Ramirez
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Jonathan D Lopez
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Nayeli Lozano
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Abigail Ramirez
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Linnete Legaspy
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Paulina L Cruz
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Abril A Armenta
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Stephanie N Viel
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Jessica I Aguirre
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Odalys Quintanar
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Fernanda Medina
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Pablo M Ordonez
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Alfonzo E Munoz
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | | | - Gabriela M Naime
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Rosalie E Powers
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Laura E O'Dell
- Department of Psychology, University of Texas at El Paso, El Paso, TX, USA
| | - Travis M Moschak
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Ki A Goosens
- Department of Psychiatry, Center for Translational Medicine and Pharmacology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Alexander Friedman
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA.
- Computational Science Program, University of Texas at El Paso, El Paso, TX, USA.
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2
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Clarke RE, Grant RI, Woods SN, Pagoota BE, Buchmaier S, Bordieanu B, Tsyrulnikov A, Westphal AM, Paniccia JE, Doncheck EM, Carroll-Deaton J, Vollmer KM, Ward AL, Winston KT, King DI, Baek J, Martino MR, Green LM, McGinty JF, Scofield MD, Otis JM. Corticostriatal ensemble dynamics across heroin self-administration to reinstatement. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.21.599790. [PMID: 38979314 PMCID: PMC11230161 DOI: 10.1101/2024.06.21.599790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Corticostriatal projection neurons from prelimbic medial prefrontal cortex to the nucleus accumbens core critically regulate drug-seeking behaviors, yet the underlying encoding dynamics whereby these neurons contribute to drug seeking remain elusive. Here we use two-photon calcium imaging to visualize the activity of corticostriatal neurons in mice from the onset of heroin use to relapse. We find that the activity of these neurons is highly heterogeneous during heroin self-administration and seeking, with at least 8 distinct neuronal ensembles that display both excitatory and inhibitory encoding dynamics. These neuronal ensembles are particularly apparent during relapse, where excitatory responses are amplified compared to heroin self-administration. Moreover, we find that optogenetic inhibition of corticostriatal projection neurons attenuates heroin seeking regardless of the relapse trigger. Our results reveal the precise corticostriatal activity dynamics underlying drug-seeking behaviors and support a key role for this circuit in mediating relapse to drug seeking.
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Affiliation(s)
- Rachel E Clarke
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Roger I Grant
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Shannon N Woods
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Bayleigh E Pagoota
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Sophie Buchmaier
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Bogdan Bordieanu
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Anna Tsyrulnikov
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Annaka M Westphal
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Jacqueline E Paniccia
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Elizabeth M Doncheck
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Jayda Carroll-Deaton
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Kelsey M Vollmer
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Amy L Ward
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Kion T Winston
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Danielle I King
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Jade Baek
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Mike R Martino
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Lisa M Green
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Jacqueline F McGinty
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Michael D Scofield
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
- Co-last authors
| | - James M Otis
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425, USA
- Co-last authors
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3
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Paniccia JE, Vollmer KM, Green LM, Grant RI, Winston KT, Buchmaier S, Westphal AM, Clarke RE, Doncheck EM, Bordieanu B, Manusky LM, Martino MR, Ward AL, Rinker JA, McGinty JF, Scofield MD, Otis JM. Restoration of a paraventricular thalamo-accumbal behavioral suppression circuit prevents reinstatement of heroin seeking. Neuron 2024; 112:772-785.e9. [PMID: 38141605 PMCID: PMC10939883 DOI: 10.1016/j.neuron.2023.11.024] [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: 04/10/2023] [Revised: 10/17/2023] [Accepted: 11/29/2023] [Indexed: 12/25/2023]
Abstract
Lack of behavioral suppression typifies substance use disorders, yet the neural circuit underpinnings of drug-induced behavioral disinhibition remain unclear. Here, we employ deep-brain two-photon calcium imaging in heroin self-administering mice, longitudinally tracking adaptations within a paraventricular thalamus to nucleus accumbens behavioral inhibition circuit from the onset of heroin use to reinstatement. We find that select thalamo-accumbal neuronal ensembles become profoundly hypoactive across the development of heroin seeking and use. Electrophysiological experiments further reveal persistent adaptations at thalamo-accumbal parvalbumin interneuronal synapses, whereas functional rescue of these synapses prevents multiple triggers from initiating reinstatement of heroin seeking. Finally, we find an enrichment of μ-opioid receptors in output- and cell-type-specific paraventricular thalamic neurons, which provide a mechanism for heroin-induced synaptic plasticity and behavioral disinhibition. These findings reveal key circuit adaptations that underlie behavioral disinhibition in opioid dependence and further suggest that recovery of this system would reduce relapse susceptibility.
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Affiliation(s)
- Jacqueline E Paniccia
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA; Department of Anesthesia & Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Kelsey M Vollmer
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Lisa M Green
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Roger I Grant
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Kion T Winston
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Sophie Buchmaier
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Annaka M Westphal
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA; Department of Anesthesia & Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Rachel E Clarke
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA; Department of Anesthesia & Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Elizabeth M Doncheck
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Bogdan Bordieanu
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Logan M Manusky
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Michael R Martino
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Amy L Ward
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Jennifer A Rinker
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Jacqueline F McGinty
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Michael D Scofield
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA; Department of Anesthesia & Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - James M Otis
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA; Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425, USA; Ralph Johnson Veterans Administration, Charleston, SC 29425, USA.
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4
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Liu C, Freeman DJ, Lammel S. Head-mounted central venous access during optical recordings and manipulations of neural activity in mice. Nat Protoc 2024; 19:960-983. [PMID: 38057625 PMCID: PMC10939862 DOI: 10.1038/s41596-023-00928-2] [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: 03/07/2023] [Accepted: 10/11/2023] [Indexed: 12/08/2023]
Abstract
Establishing reliable intravenous catheterization in mice with optical implants allows the combination of neural manipulations and recordings with rapid, time-locked delivery of pharmacological agents. Here we present a procedure for handmade jugular vein catheters designed for head-mounted intravenous access and provide surgical and postoperative guidance for improved survival and patency. A head-mounted vascular access point eliminates the need for a back-mounted button in animals already receiving neural implants, thereby reducing sites of implantation. This protocol, which is readily adoptable by experimenters with previous training and experience in mouse surgery, enables repeated fiber photometry recordings or optogenetic manipulation during drug delivery in adult mice that are awake and behaving, whether head fixed or freely moving. With practice, an experienced surgeon requires ~30 min to perform catheterization on each mouse. Altogether, these techniques facilitate the reliable and repeated delivery of pharmacological agents in mouse models while simultaneously recording at high temporal resolution and/or manipulating neural populations.
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Affiliation(s)
- Christine Liu
- Department of Molecular and Cell Biology and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Daniel J Freeman
- Department of Molecular and Cell Biology and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Stephan Lammel
- Department of Molecular and Cell Biology and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
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5
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Davidson CJ, Mascarin AT, Yahya MA, Rubio FJ, Gheidi A. Approaches and considerations of studying neuronal ensembles: a brief review. Front Cell Neurosci 2023; 17:1310724. [PMID: 38155864 PMCID: PMC10752959 DOI: 10.3389/fncel.2023.1310724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 11/27/2023] [Indexed: 12/30/2023] Open
Abstract
First theorized by Hebb, neuronal ensembles have provided a framework for understanding how the mammalian brain operates, especially regarding learning and memory. Neuronal ensembles are discrete, sparsely distributed groups of neurons that become activated in response to a specific stimulus and are thought to provide an internal representation of the world. Beyond the study of region-wide or projection-wide activation, the study of ensembles offers increased specificity and resolution to identify and target specific memories or associations. Neuroscientists interested in the neurobiology of learning, memory, and motivated behavior have used electrophysiological-, calcium-, and protein-based proxies of neuronal activity in preclinical models to better understand the neurobiology of learned and motivated behaviors. Although these three approaches may be used to pursue the same general goal of studying neuronal ensembles, technical differences lead to inconsistencies in the output and interpretation of data. This mini-review highlights some of the methodologies used in electrophysiological-, calcium-, and protein-based studies of neuronal ensembles and discusses their strengths and weaknesses.
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Affiliation(s)
- Cameron J. Davidson
- William Beaumont School of Medicine, Oakland University, Rochester, MI, United States
| | - Alixandria T. Mascarin
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
| | - Majd A. Yahya
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
| | - F. Javier Rubio
- Neuronal Ensembles in Addiction Section, Behavioral Neuroscience Research Branch, Intramural Research Program/National Institute on Drug Abuse/National Institutes of Health, Bethesda, MD, United States
| | - Ali Gheidi
- Department of Biomedical Sciences, Mercer University, Macon, GA, United States
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6
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Zhou ZC, Gordon-Fennell A, Piantadosi SC, Ji N, Smith SL, Bruchas MR, Stuber GD. Deep-brain optical recording of neural dynamics during behavior. Neuron 2023; 111:3716-3738. [PMID: 37804833 PMCID: PMC10843303 DOI: 10.1016/j.neuron.2023.09.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/24/2023] [Accepted: 09/06/2023] [Indexed: 10/09/2023]
Abstract
In vivo fluorescence recording techniques have produced landmark discoveries in neuroscience, providing insight into how single cell and circuit-level computations mediate sensory processing and generate complex behaviors. While much attention has been given to recording from cortical brain regions, deep-brain fluorescence recording is more complex because it requires additional measures to gain optical access to harder to reach brain nuclei. Here we discuss detailed considerations and tradeoffs regarding deep-brain fluorescence recording techniques and provide a comprehensive guide for all major steps involved, from project planning to data analysis. The goal is to impart guidance for new and experienced investigators seeking to use in vivo deep fluorescence optical recordings in awake, behaving rodent models.
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Affiliation(s)
- Zhe Charles Zhou
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA; Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA
| | - Adam Gordon-Fennell
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA; Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA
| | - Sean C Piantadosi
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA; Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA
| | - Na Ji
- Department of Physics, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Spencer LaVere Smith
- Department of Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, CA 93106, USA
| | - Michael R Bruchas
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA; Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA; Department of Pharmacology, University of Washington, Seattle, WA 98195, USA; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.
| | - Garret D Stuber
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA; Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA; Department of Pharmacology, University of Washington, Seattle, WA 98195, USA.
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7
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Gordon-Fennell A, Barbakh JM, Utley MT, Singh S, Bazzino P, Gowrishankar R, Bruchas MR, Roitman MF, Stuber GD. An open-source platform for head-fixed operant and consummatory behavior. eLife 2023; 12:e86183. [PMID: 37555578 PMCID: PMC10499376 DOI: 10.7554/elife.86183] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 07/15/2023] [Indexed: 08/10/2023] Open
Abstract
Head-fixed behavioral experiments in rodents permit unparalleled experimental control, precise measurement of behavior, and concurrent modulation and measurement of neural activity. Here, we present OHRBETS (Open-Source Head-fixed Rodent Behavioral Experimental Training System; pronounced 'Orbitz'), a low-cost, open-source platform of hardware and software to flexibly pursue the neural basis of a variety of motivated behaviors. Head-fixed mice tested with OHRBETS displayed operant conditioning for caloric reward that replicates core behavioral phenotypes observed during freely moving conditions. OHRBETS also permits optogenetic intracranial self-stimulation under positive or negative operant conditioning procedures and real-time place preference behavior, like that observed in freely moving assays. In a multi-spout brief-access consumption task, mice displayed licking as a function of concentration of sucrose, quinine, and sodium chloride, with licking modulated by homeostatic or circadian influences. Finally, to highlight the functionality of OHRBETS, we measured mesolimbic dopamine signals during the multi-spout brief-access task that display strong correlations with relative solution value and magnitude of consumption. All designs, programs, and instructions are provided freely online. This customizable platform enables replicable operant and consummatory behaviors and can be incorporated with methods to perturb and record neural dynamics in vivo.
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Affiliation(s)
- Adam Gordon-Fennell
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Joumana M Barbakh
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - MacKenzie T Utley
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Shreya Singh
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Paula Bazzino
- Department of Psychology, University of Illinois at ChicagoChicagoUnited States
- Graduate Program in Neuroscience, University of Illinois at ChicagoChicagoUnited States
| | - Raajaram Gowrishankar
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Michael R Bruchas
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Mitchell F Roitman
- Department of Psychology, University of Illinois at ChicagoChicagoUnited States
- Graduate Program in Neuroscience, University of Illinois at ChicagoChicagoUnited States
| | - Garret D Stuber
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
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8
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Gordon-Fennell A, Barbakh JM, Utley M, Singh S, Bazzino P, Gowrishankar R, Bruchas MR, Roitman MF, Stuber GD. An Open-Source Platform for Head-Fixed Operant and Consummatory Behavior. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.13.523828. [PMID: 36712040 PMCID: PMC9882199 DOI: 10.1101/2023.01.13.523828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Head-fixed behavioral experiments in rodents permit unparalleled experimental control, precise measurement of behavior, and concurrent modulation and measurement of neural activity. Here we present OHRBETS (Open-Source Head-fixed Rodent Behavioral Experimental Training System; pronounced 'Orbitz'), a low-cost, open-source ecosystem of hardware and software to flexibly pursue the neural basis of a variety of motivated behaviors. Head-fixed mice tested with OHRBETS displayed operant conditioning for caloric reward that replicates core behavioral phenotypes observed during freely moving conditions. OHRBETS also permits for optogenetic intracranial self-stimulation under positive or negative operant conditioning procedures and real-time place preference behavior, like that observed in freely moving assays. In a multi-spout brief-access consumption task, mice displayed licking as a function of concentration of sucrose, quinine, and sodium chloride, with licking modulated by homeostatic or circadian influences. Finally, to highlight the functionality of OHRBETS, we measured mesolimbic dopamine signals during the multi-spout brief-access task that display strong correlations with relative solution value and magnitude of consumption. All designs, programs, and instructions are provided freely online. This customizable ecosystem enables replicable operant and consummatory behaviors and can be incorporated with methods to perturb and record neural dynamics in vivo . Impact Statement A customizable open-source hardware and software ecosystem for conducting diverse head-fixed behavioral experiments in mice.
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Affiliation(s)
- Adam Gordon-Fennell
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of Washington, 98195, Seattle, WA, USA
| | - Joumana M. Barbakh
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of Washington, 98195, Seattle, WA, USA
| | - MacKenzie Utley
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of Washington, 98195, Seattle, WA, USA
| | - Shreya Singh
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of Washington, 98195, Seattle, WA, USA
| | - Paula Bazzino
- Department of Psychology, University of Illinois at Chicago, Chicago, IL 60607
- Graduate Program in Neuroscience, University of Illinois at Chicago, Chicago, IL 60607
| | - Raajaram Gowrishankar
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of Washington, 98195, Seattle, WA, USA
| | - Michael R. Bruchas
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of Washington, 98195, Seattle, WA, USA
| | - Mitchell F. Roitman
- Department of Psychology, University of Illinois at Chicago, Chicago, IL 60607
- Graduate Program in Neuroscience, University of Illinois at Chicago, Chicago, IL 60607
| | - Garret D. Stuber
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of Washington, 98195, Seattle, WA, USA
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Slosky LM, Pires A, Bai Y, Clark NB, Hauser ER, Gross JD, Porkka F, Zhou Y, Chen X, Pogorelov VM, Toth K, Wetsel WC, Barak LS, Caron MG. Establishment of multi-stage intravenous self-administration paradigms in mice. Sci Rep 2022; 12:21422. [PMID: 36503898 PMCID: PMC9742147 DOI: 10.1038/s41598-022-24740-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/18/2022] [Indexed: 12/14/2022] Open
Abstract
Genetically tractable animal models provide needed strategies to resolve the biological basis of drug addiction. Intravenous self-administration (IVSA) is the gold standard for modeling psychostimulant and opioid addiction in animals, but technical limitations have precluded the widespread use of IVSA in mice. Here, we describe IVSA paradigms for mice that capture the multi-stage nature of the disorder and permit predictive modeling. In these paradigms, C57BL/6J mice with long-standing indwelling jugular catheters engaged in cocaine- or remifentanil-associated lever responding that was fixed ratio-dependent, dose-dependent, extinguished by withholding the drug, and reinstated by the presentation of drug-paired cues. The application of multivariate analysis suggested that drug taking in both paradigms was a function of two latent variables we termed incentive motivation and discriminative control. Machine learning revealed that vulnerability to drug seeking and relapse were predicted by a mouse's a priori response to novelty, sensitivity to drug-induced locomotion, and drug-taking behavior. The application of these behavioral and statistical-analysis approaches to genetically-engineered mice will facilitate the identification of neural circuits driving addiction susceptibility and relapse and focused therapeutic development.
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Affiliation(s)
- Lauren M Slosky
- Department of Cell Biology, Duke University, Durham, NC, USA.
- Department of Pharmacology, University of Minnesota, Minneapolis, MN, USA.
| | - Andrea Pires
- Department of Cell Biology, Duke University, Durham, NC, USA
| | - Yushi Bai
- Department of Cell Biology, Duke University, Durham, NC, USA
| | | | - Elizabeth R Hauser
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Joshua D Gross
- Department of Cell Biology, Duke University, Durham, NC, USA
| | - Fiona Porkka
- Department of Cell Biology, Duke University, Durham, NC, USA
| | - Yang Zhou
- Department of Cell Biology, Duke University, Durham, NC, USA
| | - Xiaoxiao Chen
- School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Vladimir M Pogorelov
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Krisztian Toth
- Department of Pharmaceutical Sciences, Campbell University, Buies Creek, NC, USA
| | - William C Wetsel
- Department of Cell Biology, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Department of Neurobiology, Duke University, Durham, NC, USA
- Mouse Behavioral and Neuroendocrine Analysis Core Facility, Duke University, Durham, NC, USA
| | | | - Marc G Caron
- Department of Cell Biology, Duke University, Durham, NC, USA
- Department of Neurobiology, Duke University, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
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10
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Vollmer KM, Green LM, Grant RI, Winston KT, Doncheck EM, Bowen CW, Paniccia JE, Clarke RE, Tiller A, Siegler PN, Bordieanu B, Siemsen BM, Denton AR, Westphal AM, Jhou TC, Rinker JA, McGinty JF, Scofield MD, Otis JM. An opioid-gated thalamoaccumbal circuit for the suppression of reward seeking in mice. Nat Commun 2022; 13:6865. [PMID: 36369508 PMCID: PMC9652456 DOI: 10.1038/s41467-022-34517-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 10/26/2022] [Indexed: 11/13/2022] Open
Abstract
Suppression of dangerous or inappropriate reward-motivated behaviors is critical for survival, whereas therapeutic or recreational opioid use can unleash detrimental behavioral actions and addiction. Nevertheless, the neuronal systems that suppress maladaptive motivated behaviors remain unclear, and whether opioids disengage those systems is unknown. In a mouse model using two-photon calcium imaging in vivo, we identify paraventricular thalamostriatal neuronal ensembles that are inhibited upon sucrose self-administration and seeking, yet these neurons are tonically active when behavior is suppressed by a fear-provoking predator odor, a pharmacological stressor, or inhibitory learning. Electrophysiological, optogenetic, and chemogenetic experiments reveal that thalamostriatal neurons innervate accumbal parvalbumin interneurons through synapses enriched with calcium permeable AMPA receptors, and activity within this circuit is necessary and sufficient for the suppression of sucrose seeking regardless of the behavioral suppressor administered. Furthermore, systemic or intra-accumbal opioid injections rapidly dysregulate thalamostriatal ensemble dynamics, weaken thalamostriatal synaptic innervation of downstream neurons, and unleash reward-seeking behaviors in a manner that is reversed by genetic deletion of thalamic µ-opioid receptors. Overall, our findings reveal a thalamostriatal to parvalbumin interneuron circuit that is both required for the suppression of reward seeking and rapidly disengaged by opioids.
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Affiliation(s)
- Kelsey M Vollmer
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Lisa M Green
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Roger I Grant
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Kion T Winston
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Elizabeth M Doncheck
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Christopher W Bowen
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Jacqueline E Paniccia
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Rachel E Clarke
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Annika Tiller
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Preston N Siegler
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Bogdan Bordieanu
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Benjamin M Siemsen
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Adam R Denton
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Annaka M Westphal
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Thomas C Jhou
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Jennifer A Rinker
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Jacqueline F McGinty
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Michael D Scofield
- Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - James M Otis
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA.
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, 29425, USA.
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11
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Grienberger C, Giovannucci A, Zeiger W, Portera-Cailliau C. Two-photon calcium imaging of neuronal activity. NATURE REVIEWS. METHODS PRIMERS 2022; 2:67. [PMID: 38124998 PMCID: PMC10732251 DOI: 10.1038/s43586-022-00147-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/07/2022] [Indexed: 12/23/2023]
Abstract
In vivo two-photon calcium imaging (2PCI) is a technique used for recording neuronal activity in the intact brain. It is based on the principle that, when neurons fire action potentials, intracellular calcium levels rise, which can be detected using fluorescent molecules that bind to calcium. This Primer is designed for scientists who are considering embarking on experiments with 2PCI. We provide the reader with a background on the basic concepts behind calcium imaging and on the reasons why 2PCI is an increasingly powerful and versatile technique in neuroscience. The Primer explains the different steps involved in experiments with 2PCI, provides examples of what ideal preparations should look like and explains how data are analysed. We also discuss some of the current limitations of the technique, and the types of solutions to circumvent them. Finally, we conclude by anticipating what the future of 2PCI might look like, emphasizing some of the analysis pipelines that are being developed and international efforts for data sharing.
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Affiliation(s)
- Christine Grienberger
- Department of Biology and Volen National Center for Complex Systems, Brandeis University, Waltham, MA, USA
| | - Andrea Giovannucci
- Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, USA
- UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - William Zeiger
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Carlos Portera-Cailliau
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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