1
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Cao P, Liu Y, Ni Z, Zhang M, Wei HR, Liu A, Guo JR, Yang Y, Xu Z, Guo Y, Zhang Z, Tao W, Wang L. Rescue-like behavior in a bystander mouse toward anesthetized conspecifics promotes arousal via a tongue-brain connection. SCIENCE ADVANCES 2025; 11:eadq3874. [PMID: 39841840 PMCID: PMC11753405 DOI: 10.1126/sciadv.adq3874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 12/20/2024] [Indexed: 01/24/2025]
Abstract
Prosocial behaviors are advantageous to social species, but the neural mechanism(s) through which others receive benefit remain unknown. Here, we found that bystander mice display rescue-like behavior (tongue dragging) toward anesthetized cagemates and found that this tongue dragging promotes arousal from anesthesia through a direct tongue-brain circuit. We found that a direct circuit from the tongue → glutamatergic neurons in the mesencephalic trigeminal nucleus (MTNGlu) → noradrenergic neurons in the locus coeruleus (LCNE) drives rapid arousal in the anesthetized mice that receive the rescue-like behavior from bystanders. Artificial inhibition of this circuit abolishes the rapid arousal effect induced by the rescue-like behavior. Further, we revealed that glutamatergic neurons in the paraventricular nucleus of the thalamus (PVTGlu) that project to the nucleus accumbens shell (NAcSh) mediate the rescue-like behavior. These findings reveal a tongue-brain connection underlying the rapid arousal effects induced by rescue-like behavior and the circuit basis governing this specific form of prosocial behavior.
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Affiliation(s)
- Peng Cao
- Department of Anesthesiology, The First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Ying Liu
- Department of Anesthesiology, The First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Ziyun Ni
- Department of Anesthesiology, The First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Mingjun Zhang
- Department of Anesthesiology, The First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Hong-Rui Wei
- Department of Anesthesiology, The First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - An Liu
- Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230022, China
| | - Jin-Rong Guo
- Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230022, China
| | - Yumeng Yang
- Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230022, China
| | - Zheng Xu
- NMPA Key Laboratory for Research and Evaluation of Narcotic and Psychotropic Drugs, Xuzhou Medical University, Xuzhou 221004, China
| | - Yuyu Guo
- Department of Pain Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Zhi Zhang
- Department of Anesthesiology, The First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
- Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230022, China
- Department of Pain Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Wenjuan Tao
- Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230022, China
- College & Hospital of Stomatology, Key Laboratory of Oral Diseases Research of Anhui Province, Anhui Medical University, Hefei 230022, China
| | - Likui Wang
- Department of Pain Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
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2
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Lu D, Uldry Lavergne CG, Choi S, Park J, Kim J, Zhao S, Desimone Q, Lendaro E, Chen B, Han BX, Wang F, Goldstein N. General anesthesia activates a central anxiolytic center in the BNST. Cell Rep 2024; 43:114909. [PMID: 39460938 PMCID: PMC11645888 DOI: 10.1016/j.celrep.2024.114909] [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: 01/24/2024] [Revised: 09/13/2024] [Accepted: 10/08/2024] [Indexed: 10/28/2024] Open
Abstract
Low doses of general anesthetics like ketamine and dexmedetomidine have anxiolytic properties independent of their sedative effects, but the underlying mechanisms remain unclear. We discovered a population of GABAergic neurons in the oval division of the bed nucleus of the stria terminalis that are activated by multiple anesthetics and the anxiolytic drug diazepam (ovBNSTGA). The majority of ovBNSTGA neurons express neurotensin receptor 1 (Ntsr1) and form circuits with brain regions known to regulate anxiety and stress responses. Optogenetic activation of ovBNSTGA or ovBNSTNtsr1 neurons significantly attenuated anxiety-like behaviors in both naive animals and mice with inflammatory pain, while inhibition of these cells elevated anxiety. Activation of these neurons decreased heart rate and increased heart rate variability, suggesting that they reduce anxiety by modulating autonomic responses. Our study identifies ovBNSTGA/ovBNSTNtsr1 neurons as a common neural substrate mediating the anxiolytic effect of low-dose anesthetics and a potential therapeutic target for treating anxiety-related disorders.
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Affiliation(s)
- Dongye Lu
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Camille G Uldry Lavergne
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Seonmi Choi
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jaehong Park
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biomedical Engineering, Duke University, Durham, NC 27710, USA
| | - Jiwoo Kim
- Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Shengli Zhao
- Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Quinn Desimone
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Eva Lendaro
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Bin Chen
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Bao-Xia Han
- Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Fan Wang
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Nitsan Goldstein
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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3
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Prévost ED, Phillips A, Lauridsen K, Enserro G, Rubinstein B, Alas D, McGovern DJ, Ly A, Hotchkiss H, Banks M, McNulty C, Kim YS, Fenno LE, Ramakrishnan C, Deisseroth K, Root DH. Monosynaptic Inputs to Ventral Tegmental Area Glutamate and GABA Co-transmitting Neurons. J Neurosci 2024; 44:e2184232024. [PMID: 39327007 PMCID: PMC11561872 DOI: 10.1523/jneurosci.2184-23.2024] [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: 11/23/2023] [Revised: 08/01/2024] [Accepted: 09/20/2024] [Indexed: 09/28/2024] Open
Abstract
A unique population of ventral tegmental area (VTA) neurons co-transmits glutamate and GABA. However, the circuit inputs to VTA VGluT2+VGaT+ neurons are unknown, limiting our understanding of their functional capabilities. By coupling monosynaptic rabies tracing with intersectional genetic targeting in male and female mice, we found that VTA VGluT2+VGaT+ neurons received diverse brainwide inputs. The largest numbers of monosynaptic inputs to VTA VGluT2+VGaT+ neurons were from superior colliculus (SC), lateral hypothalamus (LH), midbrain reticular nucleus, and periaqueductal gray, whereas the densest inputs relative to brain region volume were from the dorsal raphe nucleus, lateral habenula, and VTA. Based on these and prior data, we hypothesized that LH and SC inputs were from glutamatergic neurons. Optical activation of glutamatergic LH neurons activated VTA VGluT2+VGaT+ neurons regardless of stimulation frequency and resulted in flee-like ambulatory behavior. In contrast, optical activation of glutamatergic SC neurons activated VTA VGluT2+VGaT+ neurons for a brief period of time at high frequency and resulted in head rotation and arrested ambulatory behavior (freezing). Stimulation of glutamatergic LH neurons, but not glutamatergic SC neurons, was associated with VTA VGluT2+VGaT+ footshock-induced activity and inhibition of LH glutamatergic neurons disrupted VTA VGluT2+VGaT+ tailshock-induced activity. We interpret these results such that inputs to VTA VGluT2+VGaT+ neurons may integrate diverse signals related to the detection and processing of motivationally salient outcomes.
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Affiliation(s)
- Emily D Prévost
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Alysabeth Phillips
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Kristoffer Lauridsen
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Gunnar Enserro
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Bodhi Rubinstein
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Daniel Alas
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Dillon J McGovern
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Annie Ly
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Hayden Hotchkiss
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Makaila Banks
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Connor McNulty
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
| | - Yoon Seok Kim
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305
| | - Lief E Fenno
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305
| | - Charu Ramakrishnan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305
| | - Karl Deisseroth
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305
- Department of Bioengineering, Stanford University, Stanford, California 94305
- Howard Hughes Medical Institute, Stanford University, Stanford, California 94305
| | - David H Root
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado 80301
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4
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Khilkevich A, Lohse M, Low R, Orsolic I, Bozic T, Windmill P, Mrsic-Flogel TD. Brain-wide dynamics linking sensation to action during decision-making. Nature 2024; 634:890-900. [PMID: 39261727 PMCID: PMC11499283 DOI: 10.1038/s41586-024-07908-w] [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: 07/13/2023] [Accepted: 08/05/2024] [Indexed: 09/13/2024]
Abstract
Perceptual decisions rely on learned associations between sensory evidence and appropriate actions, involving the filtering and integration of relevant inputs to prepare and execute timely responses1,2. Despite the distributed nature of task-relevant representations3-10, it remains unclear how transformations between sensory input, evidence integration, motor planning and execution are orchestrated across brain areas and dimensions of neural activity. Here we addressed this question by recording brain-wide neural activity in mice learning to report changes in ambiguous visual input. After learning, evidence integration emerged across most brain areas in sparse neural populations that drive movement-preparatory activity. Visual responses evolved from transient activations in sensory areas to sustained representations in frontal-motor cortex, thalamus, basal ganglia, midbrain and cerebellum, enabling parallel evidence accumulation. In areas that accumulate evidence, shared population activity patterns encode visual evidence and movement preparation, distinct from movement-execution dynamics. Activity in movement-preparatory subspace is driven by neurons integrating evidence, which collapses at movement onset, allowing the integration process to reset. Across premotor regions, evidence-integration timescales were independent of intrinsic regional dynamics, and thus depended on task experience. In summary, learning aligns evidence accumulation to action preparation in activity dynamics across dozens of brain regions. This leads to highly distributed and parallelized sensorimotor transformations during decision-making. Our work unifies concepts from decision-making and motor control fields into a brain-wide framework for understanding how sensory evidence controls actions.
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Affiliation(s)
- Andrei Khilkevich
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK.
| | - Michael Lohse
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK.
| | - Ryan Low
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK
| | - Ivana Orsolic
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK
| | - Tadej Bozic
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK
| | - Paige Windmill
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK
| | - Thomas D Mrsic-Flogel
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK.
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5
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Chen B, Goldstein N, Dziubek J, Sundai A, Zhao S, Harrahill A, Choi S, Prevosto V, Wang F. Reverse-engineering placebo analgesia. Curr Biol 2024; 34:4261-4271.e5. [PMID: 39241777 DOI: 10.1016/j.cub.2024.08.004] [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: 02/06/2024] [Revised: 07/04/2024] [Accepted: 08/01/2024] [Indexed: 09/09/2024]
Abstract
Placebo analgesia is a widely observed clinical phenomenon. Establishing a robust mouse model of placebo analgesia is needed for careful dissection of the underpinning circuit mechanisms. However, previous studies failed to observe consistent placebo effects in rodent models of chronic pain. We wondered whether strong placebo analgesia can be reverse engineered using general-anesthesia-activated neurons in the central amygdala (CeAGA) that can potently suppress pain. Indeed, in both acute and chronic pain models, pairing a context with CeAGA-mediated pain relief produced robust context-dependent analgesia, exceeding that produced by morphine in the same paradigm. CeAGA neurons receive monosynaptic inputs from temporal lobe areas that could potentially relay contextual cues directly to CeAGA neurons. However, in vivo imaging showed that CeAGA neurons were not reactivated in the conditioned context, despite mice displaying a strong analgesic phenotype. This finding suggests that the placebo-context-induced pain relief engages circuits beyond CeAGA neurons and relies on plasticity in other analgesic and/or nociceptive circuits. Our results show that conditioning with the activation of a central pain-suppressing circuit is sufficient to engineer placebo analgesia and that purposefully linking a context with an active treatment could be a means to harness the power of placebo for pain relief.
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Affiliation(s)
- Bin Chen
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA
| | - Nitsan Goldstein
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA
| | - Julia Dziubek
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA
| | - Akili Sundai
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA
| | - Shengli Zhao
- Department of Neurobiology, Duke University Medical Center, 311 Research Drive, Durham, NC 27710, USA
| | - Andrew Harrahill
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA
| | - Seonmi Choi
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA
| | - Vincent Prevosto
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA.
| | - Fan Wang
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA.
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6
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Rault N, Bergmans T, Delfstra N, Kleijnen BJ, Zeldenrust F, Celikel T. Where Top-Down Meets Bottom-Up: Cell-Type Specific Connectivity Map of the Whisker System. Neuroinformatics 2024; 22:251-268. [PMID: 38767789 PMCID: PMC11329691 DOI: 10.1007/s12021-024-09658-6] [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] [Accepted: 03/07/2024] [Indexed: 05/22/2024]
Abstract
Sensorimotor computation integrates bottom-up world state information with top-down knowledge and task goals to form action plans. In the rodent whisker system, a prime model of active sensing, evidence shows neuromodulatory neurotransmitters shape whisker control, affecting whisking frequency and amplitude. Since neuromodulatory neurotransmitters are mostly released from subcortical nuclei and have long-range projections that reach the rest of the central nervous system, mapping the circuits of top-down neuromodulatory control of sensorimotor nuclei will help to systematically address the mechanisms of active sensing. Therefore, we developed a neuroinformatic target discovery pipeline to mine the Allen Institute's Mouse Brain Connectivity Atlas. Using network connectivity analysis, we identified new putative connections along the whisker system and anatomically confirmed the existence of 42 previously unknown monosynaptic connections. Using this data, we updated the sensorimotor connectivity map of the mouse whisker system and developed the first cell-type-specific map of the network. The map includes 157 projections across 18 principal nuclei of the whisker system and neuromodulatory neurotransmitter-releasing. Performing a graph network analysis of this connectome, we identified cell-type specific hubs, sources, and sinks, provided anatomical evidence for monosynaptic inhibitory projections into all stages of the ascending pathway, and showed that neuromodulatory projections improve network-wide connectivity. These results argue that beyond the modulatory chemical contributions to information processing and transfer in the whisker system, the circuit connectivity features of the neuromodulatory networks position them as nodes of sensory and motor integration.
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Affiliation(s)
- Nicolas Rault
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
| | - Tido Bergmans
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Natasja Delfstra
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | | | - Fleur Zeldenrust
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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7
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Park J, Choi S, Takatoh J, Zhao S, Harrahill A, Han BX, Wang F. Brainstem control of vocalization and its coordination with respiration. Science 2024; 383:eadi8081. [PMID: 38452069 PMCID: PMC11223444 DOI: 10.1126/science.adi8081] [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: 05/18/2023] [Accepted: 01/18/2024] [Indexed: 03/09/2024]
Abstract
Phonation critically depends on precise controls of laryngeal muscles in coordination with ongoing respiration. However, the neural mechanisms governing these processes remain unclear. We identified excitatory vocalization-specific laryngeal premotor neurons located in the retroambiguus nucleus (RAmVOC) in adult mice as being both necessary and sufficient for driving vocal cord closure and eliciting mouse ultrasonic vocalizations (USVs). The duration of RAmVOC activation can determine the lengths of both USV syllables and concurrent expiration periods, with the impact of RAmVOC activation depending on respiration phases. RAmVOC neurons receive inhibition from the preBötzinger complex, and inspiration needs override RAmVOC-mediated vocal cord closure. Ablating inhibitory synapses in RAmVOC neurons compromised this inspiration gating of laryngeal adduction, resulting in discoordination of vocalization with respiration. Our study reveals the circuits for vocal production and vocal-respiratory coordination.
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Affiliation(s)
- Jaehong Park
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Seonmi Choi
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jun Takatoh
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Shengli Zhao
- Department of Neurobiology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Andrew Harrahill
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Bao-Xia Han
- Department of Neurobiology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Fan Wang
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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8
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Chen B, Goldstein N, Dziubek J, Zhao S, Harrahill A, Sundai A, Choi S, Prevosto V, Wang F. Reverse engineering placebo analgesia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.12.579946. [PMID: 38405975 PMCID: PMC10888847 DOI: 10.1101/2024.02.12.579946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Placebo analgesia is a widely observed clinical phenomenon. Establishing a robust mouse model of placebo analgesia is needed for careful dissection of the underpinning circuit mechanisms. However, previous studies failed to observe consistent placebo effects in rodent models of chronic pain. We wondered whether strong placebo analgesia can be reverse engineered using general anesthesia-activated neurons in the central amygdala (CeA GA ) that can potently suppress pain. Indeed, in both acute and chronic pain models, pairing a context with CeA GA -mediated pain relief produced robust context-dependent analgesia, exceeding that induced by morphine in the same paradigm. We reasoned that if the analgesic effect was dependent on reactivation of CeA GA neurons by conditioned contextual cues, the analgesia would still be an active treatment, rather than a placebo effect. CeA GA neurons indeed receive monosynaptic inputs from temporal lobe areas that could potentially relay contextual cues directly to CeA GA . However, in vivo imaging showed that CeA GA neurons were not re-activated in the conditioned context, despite mice displaying a strong analgesic phenotype, supporting the notion that the cue-induced pain relief is true placebo analgesia. Our results show that conditioning with activation of a central pain-suppressing circuit is sufficient to engineer placebo analgesia, and that purposefully linking a context with an active treatment could be a means to harness the power of placebo for pain relief.
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9
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Chen S, Liu Y, Wang ZA, Colonell J, Liu LD, Hou H, Tien NW, Wang T, Harris T, Druckmann S, Li N, Svoboda K. Brain-wide neural activity underlying memory-guided movement. Cell 2024; 187:676-691.e16. [PMID: 38306983 PMCID: PMC11492138 DOI: 10.1016/j.cell.2023.12.035] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 09/19/2023] [Accepted: 12/27/2023] [Indexed: 02/04/2024]
Abstract
Behavior relies on activity in structured neural circuits that are distributed across the brain, but most experiments probe neurons in a single area at a time. Using multiple Neuropixels probes, we recorded from multi-regional loops connected to the anterior lateral motor cortex (ALM), a circuit node mediating memory-guided directional licking. Neurons encoding sensory stimuli, choices, and actions were distributed across the brain. However, choice coding was concentrated in the ALM and subcortical areas receiving input from the ALM in an ALM-dependent manner. Diverse orofacial movements were encoded in the hindbrain; midbrain; and, to a lesser extent, forebrain. Choice signals were first detected in the ALM and the midbrain, followed by the thalamus and other brain areas. At movement initiation, choice-selective activity collapsed across the brain, followed by new activity patterns driving specific actions. Our experiments provide the foundation for neural circuit models of decision-making and movement initiation.
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Affiliation(s)
- Susu Chen
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Yi Liu
- Stanford University, Palo Alto, CA, USA
| | | | - Jennifer Colonell
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Liu D Liu
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Baylor College of Medicine, Houston, TX, USA
| | - Han Hou
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Allen Institute for Neural Dynamics, Seattle, WA, USA
| | - Nai-Wen Tien
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Tim Wang
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Allen Institute for Neural Dynamics, Seattle, WA, USA
| | - Timothy Harris
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Johns Hopkins University, Baltimore, MD, USA
| | - Shaul Druckmann
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Stanford University, Palo Alto, CA, USA.
| | - Nuo Li
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Baylor College of Medicine, Houston, TX, USA.
| | - Karel Svoboda
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA; Allen Institute for Neural Dynamics, Seattle, WA, USA.
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10
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Qian K, Friedman B, Takatoh J, Wang F, Kleinfeld D, Freund Y. CellBoost: A pipeline for machine assisted annotation in Neuroanatomy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.09.13.557658. [PMID: 38293051 PMCID: PMC10827062 DOI: 10.1101/2023.09.13.557658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
One of the important yet labor intensive tasks in neuroanatomy is the identification of select populations of cells. Current high-throughput techniques enable marking cells with histochemical fluorescent molecules as well as through the genetic expression of fluorescent proteins. Modern scanning microscopes allow high resolution multi-channel imaging of the mechanically or optically sectioned brain with thousands of marked cells per square millimeter. Manual identification of all marked cells is prohibitively time consuming. At the same time, simple segmentation algorithms suffer from high error rates and sensitivity to variation in fluorescent intensity and spatial distribution. We present a methodology that combines human judgement and machine learning that serves to significantly reduce the labor of the anatomist while improving the consistency of the annotation. As a demonstration, we analyzed murine brains with marked premotor neurons in the brainstem. We compared the error rate of our method to the disagreement rate among human anatomists. This comparison shows that our method can reduce the time to annotate by as much as ten-fold without significantly increasing the rate of errors. We show that our method achieves significant reduction in labor while achieving an accuracy that is similar to the level of agreement between different anatomists.
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Affiliation(s)
- Kui Qian
- Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Beth Friedman
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jun Takatoh
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Fan Wang
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- McGovern Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - David Kleinfeld
- Department of Physics, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Neurobiology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Yoav Freund
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA
- Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093, USA
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11
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Lu D, Choi S, Park J, Kim J, Zhao S, Uldry Lavergne CG, Desimone Q, Chen B, Han BX, Wang F, Goldstein N. General Anesthesia Activates a Central Anxiolytic Center in the BNST. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.20.572586. [PMID: 38187782 PMCID: PMC10769264 DOI: 10.1101/2023.12.20.572586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Low doses of general anesthetics like ketamine and dexmedetomidine have anxiolytic properties independent of their sedative effects. How these different drugs exert these anxiolytic effects is not well understood. We discovered a population of GABAergic neurons in the oval division of the bed nucleus of the stria terminalis that is activated by multiple anesthetics and the anxiolytic drug diazepam (ovBNST GA ). A majority of ovBNST GA neurons express neurotensin receptor 1 (Ntsr1) and innervate brain regions known to regulate anxiety and stress responses. Optogenetic activation ovBNST GA or ovBNST Ntsr1 neurons significantly attenuated anxiety-like behaviors in both naïve animals and mice with inflammatory pain, while inhibition of these cells increased anxiety. Notably, activation of these neurons decreased heart rate and increased heart rate variability, suggesting that they reduce anxiety through modulation of the autonomic nervous system. Our study identifies ovBNST GA /ovBNST Ntsr1 neurons as one of the brain's endogenous anxiolytic centers and a potential therapeutic target for treating anxiety-related disorders. HIGHLIGHTS General anesthetics and anxiolytics activate a population of neurons in the ovBNSTAnesthesia-activated ovBNST neurons bidirectionally modulate anxiety-like behaviorMost anesthesia-activated ovBNST neurons express neurotensin receptor 1 ovBNST Ntsr1 neuron activation shifts autonomic responses to an anxiolytic state.
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12
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Prévost ED, Phillips A, Lauridsen K, Enserro G, Rubinstein B, Alas D, McGovern DJ, Ly A, Banks M, McNulty C, Kim YS, Fenno LE, Ramakrishnan C, Deisseroth K, Root DH. Monosynaptic inputs to ventral tegmental area glutamate and GABA co-transmitting neurons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.06.535959. [PMID: 37066408 PMCID: PMC10104150 DOI: 10.1101/2023.04.06.535959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
A unique population of ventral tegmental area (VTA) neurons co-transmits glutamate and GABA as well as functionally signals rewarding and aversive outcomes. However, the circuit inputs to VTA VGluT2+VGaT+ neurons are unknown, limiting our understanding of the functional capabilities of these neurons. To identify the inputs to VTA VGluT2+VGaT+ neurons, we coupled monosynaptic rabies tracing with intersectional genetic targeting of VTA VGluT2+VGaT+ neurons in mice. We found that VTA VGluT2+VGaT+ neurons received diverse brain-wide inputs. The largest numbers of monosynaptic inputs to VTA VGluT2+VGaT+ neurons were from superior colliculus, lateral hypothalamus, midbrain reticular nucleus, and periaqueductal gray, whereas the densest inputs relative to brain region volume were from dorsal raphe nucleus, lateral habenula, and ventral tegmental area. Based on these and prior data, we hypothesized that lateral hypothalamus and superior colliculus inputs were glutamatergic neurons. Optical activation of glutamatergic lateral hypothalamus neurons robustly activated VTA VGluT2+VGaT+ neurons regardless of stimulation frequency and resulted in flee-like ambulatory behavior. In contrast, optical activation of glutamatergic superior colliculus neurons activated VTA VGluT2+VGaT+ neurons for a brief period of time at high stimulation frequency and resulted in head rotation and arrested ambulatory behavior (freezing). For both pathways, behaviors induced by stimulation were uncorrelated with VTA VGluT2+VGaT+ neuron activity. However, stimulation of glutamatergic lateral hypothalamus neurons, but not glutamatergic superior colliculus neurons, was associated with VTA VGluT2+VGaT+ footshock-induced activity. We interpret these results such that inputs to VTA VGluT2+VGaT+ neurons may integrate diverse signals related to the detection and processing of motivationally-salient outcomes. Further, VTA VGluT2+VGaT+ neurons may signal threat-related outcomes, possibly via input from lateral hypothalamus glutamate neurons, but not threat-induced behavioral kinematics.
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Affiliation(s)
- Emily D. Prévost
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
| | - Alysabeth Phillips
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
| | - Kristoffer Lauridsen
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
| | - Gunnar Enserro
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
| | - Bodhi Rubinstein
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
| | - Daniel Alas
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
| | - Dillon J. McGovern
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
| | - Annie Ly
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
| | - Makaila Banks
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
| | - Connor McNulty
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
| | - Yoon Seok Kim
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Lief E. Fenno
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
- Current address: Department of Neuroscience, Dell Medical School, The University of Texas at Austin 78712
| | - Charu Ramakrishnan
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - David H. Root
- Department of Psychology and Neuroscience, University of Colorado Boulder, 2860 Wilderness Pl, Boulder, CO 80301
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13
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Zhu J, Hasanbegović H, Liu LD, Gao Z, Li N. Activity map of a cortico-cerebellar loop underlying motor planning. Nat Neurosci 2023; 26:1916-1928. [PMID: 37814026 PMCID: PMC10620095 DOI: 10.1038/s41593-023-01453-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 09/06/2023] [Indexed: 10/11/2023]
Abstract
The neocortex and cerebellum interact to mediate cognitive functions. It remains unknown how the two structures organize into functional networks to mediate specific behaviors. Here we delineate activity supporting motor planning in relation to the mesoscale cortico-cerebellar connectome. In mice planning directional licking based on short-term memory, preparatory activity instructing future movement depends on the anterior lateral motor cortex (ALM) and the cerebellum. Transneuronal tracing revealed divergent and largely open-loop connectivity between the ALM and distributed regions of the cerebellum. A cerebellum-wide survey of neuronal activity revealed enriched preparatory activity in hotspot regions with conjunctive input-output connectivity to the ALM. Perturbation experiments show that the conjunction regions were required for maintaining preparatory activity and correct subsequent movement. Other cerebellar regions contributed little to motor planning despite input or output connectivity to the ALM. These results identify a functional cortico-cerebellar loop and suggest the cerebellar cortex selectively establishes reciprocal cortico-cerebellar communications to orchestrate motor planning.
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Affiliation(s)
- Jia Zhu
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | | | - Liu D Liu
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Zhenyu Gao
- Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands.
| | - Nuo Li
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
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14
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Park J, Choi S, Takatoh J, Zhao S, Harrahill A, Han BX, Wang F. Brainstem premotor mechanisms underlying vocal production and vocal-respiratory coordination. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.12.562111. [PMID: 37873071 PMCID: PMC10592834 DOI: 10.1101/2023.10.12.562111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Speech generation critically depends on precise controls of laryngeal muscles and coordination with ongoing respiratory activity. However, the neural mechanisms governing these processes remain unknown. Here, we mapped laryngeal premotor circuitry in adult mice and viral-genetically identified excitatory vocal premotor neurons located in the retroambiguus nucleus (RAm VOC ) as both necessary and sufficient for driving vocal-cord closure and eliciting mouse ultrasonic vocalizations (USVs). The duration of RAm VOC activation determines the lengths of USV syllables and post-inspiration phases. RAm VOC -neurons receive inhibitory inputs from the preBötzinger complex, and inspiration needs can override RAm VOC -mediated vocal-cord closure. Ablating inhibitory synapses in RAm VOC -neurons compromised this inspiration gating of laryngeal adduction, resulting in de-coupling of vocalization and respiration. Our study revealed the hitherto unknown circuits for vocal pattern generation and vocal-respiratory coupling. One-Sentence Summary Identification of RAm VOC neurons as the critical node for vocal pattern generation and vocal-respiratory coupling.
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15
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Yang W, Kanodia H, Arber S. Structural and functional map for forelimb movement phases between cortex and medulla. Cell 2023; 186:162-177.e18. [PMID: 36608651 PMCID: PMC9842395 DOI: 10.1016/j.cell.2022.12.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 10/10/2022] [Accepted: 12/05/2022] [Indexed: 01/07/2023]
Abstract
The cortex influences movement by widespread top-down projections to many nervous system regions. Skilled forelimb movements require brainstem circuitry in the medulla; however, the logic of cortical interactions with these neurons remains unexplored. Here, we reveal a fine-grained anatomical and functional map between anterior cortex (AC) and medulla in mice. Distinct cortical regions generate three-dimensional synaptic columns tiling the lateral medulla, topographically matching the dorso-ventral positions of postsynaptic neurons tuned to distinct forelimb action phases. Although medial AC (MAC) terminates ventrally and connects to forelimb-reaching-tuned neurons and its silencing impairs reaching, lateral AC (LAC) influences dorsally positioned neurons tuned to food handling, and its silencing impairs handling. Cortico-medullary neurons also extend collaterals to other subcortical structures through a segregated channel interaction logic. Our findings reveal a precise alignment between cortical location, its function, and specific forelimb-action-tuned medulla neurons, thereby clarifying interaction principles between these two key structures and beyond.
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Affiliation(s)
- Wuzhou Yang
- Biozentrum, Department of Cell Biology, University of Basel, 4056 Basel, Switzerland,Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
| | - Harsh Kanodia
- Biozentrum, Department of Cell Biology, University of Basel, 4056 Basel, Switzerland,Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
| | - Silvia Arber
- Biozentrum, Department of Cell Biology, University of Basel, 4056 Basel, Switzerland,Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland,Corresponding author
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16
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Golomb D, Moore JD, Fassihi A, Takatoh J, Prevosto V, Wang F, Kleinfeld D. Theory of hierarchically organized neuronal oscillator dynamics that mediate rodent rhythmic whisking. Neuron 2022; 110:3833-3851.e22. [PMID: 36113472 PMCID: PMC10248719 DOI: 10.1016/j.neuron.2022.08.020] [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: 01/21/2022] [Revised: 07/06/2022] [Accepted: 08/17/2022] [Indexed: 12/15/2022]
Abstract
Rodents explore their environment through coordinated orofacial motor actions, including whisking. Whisking can free-run via an oscillator of inhibitory neurons in the medulla and can be paced by breathing. Yet, the mechanics of the whisking oscillator and its interaction with breathing remain to be understood. We formulate and solve a hierarchical model of the whisking circuit. The first whisk within a breathing cycle is generated by inhalation, which resets a vibrissa oscillator circuit, while subsequent whisks are derived from the oscillator circuit. Our model posits, consistent with experiment, that there are two subpopulations of oscillator neurons. Stronger connections between the subpopulations support rhythmicity, while connections within each subpopulation induce variable spike timing that enhances the dynamic range of rhythm generation. Calculated cycle-to-cycle changes in whisking are consistent with experiment. Our model provides a computational framework to support longstanding observations of concurrent autonomous and driven rhythmic motor actions that comprise behaviors.
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Affiliation(s)
- David Golomb
- Department of Physiology and Cell Biology, Ben Gurion University, Be'er-Sheva 8410501, Israel; Department of Physics, Ben Gurion University, Be'er-Sheva 8410501, Israel; Zlotowski Center for Neuroscience, Ben Gurion University, Be'er-Sheva 8410501, Israel.
| | - Jeffrey D Moore
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Arash Fassihi
- Department of Physics, University of California at San Diego, La Jolla, CA 92093, USA
| | - Jun Takatoh
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Vincent Prevosto
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Fan Wang
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - David Kleinfeld
- Department of Physics, University of California at San Diego, La Jolla, CA 92093, USA; Department of Neurobiology, University of California at San Diego, La Jolla, CA 92093, USA.
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17
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Saunders SE, Baekey DM, Levitt ES. Fentanyl effects on respiratory neuron activity in the dorsolateral pons. J Neurophysiol 2022; 128:1117-1132. [PMID: 36197016 PMCID: PMC9621704 DOI: 10.1152/jn.00113.2022] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 09/09/2022] [Accepted: 10/03/2022] [Indexed: 11/22/2022] Open
Abstract
Opioids suppress breathing through actions in the brainstem, including respiratory-related areas of the dorsolateral pons, which contain multiple phenotypes of respiratory patterned neurons. The discharge identity of dorsolateral pontine neurons that are impacted by opioids is unknown. To address this, single neuronal units were recorded in the dorsolateral pons of arterially perfused in situ rat preparations that were perfused with an apneic concentration of the opioid agonist fentanyl, followed by the opioid antagonist naloxone (NLX). Dorsolateral pontine neurons were categorized based on respiratory-associated discharge patterns, which were differentially affected by fentanyl. Inspiratory neurons and a subset of inspiratory/expiratory phase-spanning neurons were either silenced or had reduced firing frequency during fentanyl-induced apnea, which was reversed upon administration of naloxone. In contrast, the majority of expiratory neurons continued to fire tonically during fentanyl-induced apnea, albeit with reduced firing frequency. In addition, pontine late-inspiratory and postinspiratory neuronal activity were absent from apneustic-like breaths during the transition to fentanyl-induced apnea and the naloxone-mediated transition to recovery. Thus, opioid-induced deficits in respiratory patterning may occur due to reduced activity of pontine inspiratory neurons, whereas apnea occurs with loss of all phasic pontine activity and sustained tonic expiratory neuron activity.NEW & NOTEWORTHY Opioids can suppress breathing via actions throughout the brainstem, including the dorsolateral pons. The respiratory phenotype of dorsolateral pontine neurons inhibited by opioids is unknown. Here, we describe the effect of the highly potent opioid fentanyl on the firing activity of these dorsolateral pontine neurons. Inspiratory neurons were largely silenced by fentanyl, whereas expiratory neurons were not. We provide a framework whereby this differential sensitivity to fentanyl can contribute to respiratory pattern deficits and apnea.
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Affiliation(s)
- Sandy E Saunders
- Department of Pharmacology and Therapeutics, University of Florida, Gainesville, Florida
- Center for Respiratory Research and Rehabilitation, University of Florida, Gainesville, Florida
| | - David M Baekey
- Department of Pharmacology and Therapeutics, University of Florida, Gainesville, Florida
- Center for Respiratory Research and Rehabilitation, University of Florida, Gainesville, Florida
| | - Erica S Levitt
- Department of Pharmacology and Therapeutics, University of Florida, Gainesville, Florida
- Center for Respiratory Research and Rehabilitation, University of Florida, Gainesville, Florida
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18
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MS and GTO proprioceptor subtypes in the molecular genetic era: Opportunities for new advances and perspectives. Curr Opin Neurobiol 2022; 76:102597. [DOI: 10.1016/j.conb.2022.102597] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 05/22/2022] [Accepted: 05/24/2022] [Indexed: 11/21/2022]
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19
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Takatoh J, Prevosto V, Thompson PM, Lu J, Chung L, Harrahill A, Li S, Zhao S, He Z, Golomb D, Kleinfeld D, Wang F. The whisking oscillator circuit. Nature 2022; 609:560-568. [PMID: 36045290 PMCID: PMC10038238 DOI: 10.1038/s41586-022-05144-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 07/25/2022] [Indexed: 11/09/2022]
Abstract
Central oscillators are primordial neural circuits that generate and control rhythmic movements1,2. Mechanistic understanding of these circuits requires genetic identification of the oscillator neurons and their synaptic connections to enable targeted electrophysiological recording and causal manipulation during behaviours. However, such targeting remains a challenge with mammalian systems. Here we delimit the oscillator circuit that drives rhythmic whisking-a motor action that is central to foraging and active sensing in rodents3,4. We found that the whisking oscillator consists of parvalbumin-expressing inhibitory neurons located in the vibrissa intermediate reticular nucleus (vIRtPV) in the brainstem. vIRtPV neurons receive descending excitatory inputs and form recurrent inhibitory connections among themselves. Silencing vIRtPV neurons eliminated rhythmic whisking and resulted in sustained vibrissae protraction. In vivo recording of opto-tagged vIRtPV neurons in awake mice showed that these cells spike tonically when animals are at rest, and transition to rhythmic bursting at the onset of whisking, suggesting that rhythm generation is probably the result of network dynamics, as opposed to intrinsic cellular properties. Notably, ablating inhibitory synaptic inputs to vIRtPV neurons quenched their rhythmic bursting, impaired the tonic-to-bursting transition and abolished regular whisking. Thus, the whisking oscillator is an all-inhibitory network and recurrent synaptic inhibition has a key role in its rhythmogenesis.
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Affiliation(s)
- Jun Takatoh
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Neurobiology, Duke University, Durham, NC, USA.
| | - Vincent Prevosto
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Neurobiology, Duke University, Durham, NC, USA
| | - P M Thompson
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Jinghao Lu
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Neurobiology, Duke University, Durham, NC, USA
| | - Leeyup Chung
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Andrew Harrahill
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Shun Li
- Department of Neurobiology, Duke University, Durham, NC, USA
| | - Shengli Zhao
- Department of Neurobiology, Duke University, Durham, NC, USA
| | - Zhigang He
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - David Golomb
- Department of Physiology and Cell Biology, Ben Gurion University, Be'er Sheva, Israel
- Department of Physics, Ben Gurion University, Be'er Sheva, Israel
- Zlotowski Center for Neuroscience, Ben Gurion University, Be'er Sheva, Israel
| | - David Kleinfeld
- Department of Physics, University of California at San Diego, La Jolla, CA, USA
- Department of Neurobiology, University of California at San Diego, La Jolla, CA, USA
| | - Fan Wang
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Neurobiology, Duke University, Durham, NC, USA.
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20
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Huang Y, Zhang Y, He Z, Manyande A, Wu D, Feng M, Xiang H. The connectome from the cerebral cortex to skeletal muscle using viral transneuronal tracers: a review. Am J Transl Res 2022; 14:4864-4879. [PMID: 35958450 PMCID: PMC9360884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
Connectomics has developed from an initial observation under an electron microscope to the present well-known medical imaging research approach. The emergence of the most popular transneuronal tracers has further advanced connectomics research. Researchers use the virus trans-nerve tracing method to trace the whole brain, mark the brain nerve circuit and nerve connection structure, and construct a complete nerve conduction pathway. This review assesses current methods of studying cortical to muscle connections using viral neuronal tracers and demonstrates their application in disease diagnosis and prognosis.
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Affiliation(s)
- Yan Huang
- Tongji Hospital of Tongji Medical College, Huazhong University of Science and TechnologyWuhan 430030, Hubei, P. R. China
- Department of Interventional Therapy, The First Affiliated Hospital of Dalian Medical UniversityDalian 116000, Liaoning, P. R. China
| | - Yunhua Zhang
- Hubei Provincial Hospital of Traditional Chinese MedicineWuhan 430061, Hubei, P. R. China
- Clinical Medical College of Hubei University of Chinese MedicineWuhan 430061, Hubei, P. R. China
- Hubei Province Academy of Traditional Chinese MedicineWuhan 430061, Hubei, P. R. China
| | - Zhigang He
- Tongji Hospital of Tongji Medical College, Huazhong University of Science and TechnologyWuhan 430030, Hubei, P. R. China
| | - Anne Manyande
- School of Human and Social Sciences, University of West LondonLondon, UK
| | - Duozhi Wu
- Department of Anesthesiology, Hainan General HospitalHaikou 570311, Hainan, P. R. China
| | - Maohui Feng
- Department of Gastrointestinal Surgery, Wuhan Peritoneal Cancer Clinical Medical Research Center, Zhongnan Hospital of Wuhan University, Hubei Key Laboratory of Tumor Biological Behaviors and Hubei Cancer Clinical Study CenterWuhan 430071, Hubei, P. R. China
| | - Hongbing Xiang
- Tongji Hospital of Tongji Medical College, Huazhong University of Science and TechnologyWuhan 430030, Hubei, P. R. China
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21
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Wheatcroft T, Saleem AB, Solomon SG. Functional Organisation of the Mouse Superior Colliculus. Front Neural Circuits 2022; 16:792959. [PMID: 35601532 PMCID: PMC9118347 DOI: 10.3389/fncir.2022.792959] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 03/07/2022] [Indexed: 11/30/2022] Open
Abstract
The superior colliculus (SC) is a highly conserved area of the mammalian midbrain that is widely implicated in the organisation and control of behaviour. SC receives input from a large number of brain areas, and provides outputs to a large number of areas. The convergence and divergence of anatomical connections with different areas and systems provides challenges for understanding how SC contributes to behaviour. Recent work in mouse has provided large anatomical datasets, and a wealth of new data from experiments that identify and manipulate different cells within SC, and their inputs and outputs, during simple behaviours. These data offer an opportunity to better understand the roles that SC plays in these behaviours. However, some of the observations appear, at first sight, to be contradictory. Here we review this recent work and hypothesise a simple framework which can capture the observations, that requires only a small change to previous models. Specifically, the functional organisation of SC can be explained by supposing that three largely distinct circuits support three largely distinct classes of simple behaviours-arrest, turning towards, and the triggering of escape or capture. These behaviours are hypothesised to be supported by the optic, intermediate and deep layers, respectively.
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Affiliation(s)
| | | | - Samuel G. Solomon
- Institute of Behavioural Neuroscience, University College London, London, United Kingdom
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22
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Elbaz M, Callado Perez A, Demers M, Zhao S, Foo C, Kleinfeld D, Deschenes M. A vibrissa pathway that activates the limbic system. eLife 2022; 11:72096. [PMID: 35142608 PMCID: PMC8830883 DOI: 10.7554/elife.72096] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 01/24/2022] [Indexed: 11/13/2022] Open
Abstract
Vibrissa sensory inputs play a central role in driving rodent behavior. These inputs transit through the sensory trigeminal nuclei, which give rise to the ascending lemniscal and paralemniscal pathways. While lemniscal projections are somatotopically mapped from brainstem to cortex, those of the paralemniscal pathway are more widely distributed. Yet the extent and topography of paralemniscal projections are unknown, along with the potential role of these projections in controlling behavior. Here, we used viral tracers to map paralemniscal projections. We find that this pathway broadcasts vibrissa-based sensory signals to brainstem regions that are involved in the regulation of autonomic functions and to forebrain regions that are involved in the expression of emotional reactions. We further provide evidence that GABAergic cells of the Kölliker-Fuse nucleus gate trigeminal sensory input in the paralemniscal pathway via a mechanism of presynaptic or extrasynaptic inhibition.
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Affiliation(s)
- Michaël Elbaz
- CERVO Research Center, Laval University, Québec City, Canada
| | - Amalia Callado Perez
- CERVO Research Center, Laval University, Québec City, Canada.,Department of Physics, University of California, San Diego, San Diego, United States
| | - Maxime Demers
- CERVO Research Center, Laval University, Québec City, Canada
| | - Shengli Zhao
- Department of Neurobiology, Duke University Medical Center, Durham, United States
| | - Conrad Foo
- Department of Physics, University of California, San Diego, San Diego, United States
| | - David Kleinfeld
- Department of Physics, University of California, San Diego, San Diego, United States.,Section of Neurobiology, University of California, San Diego, San Diego, United States
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23
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Karthik S, Huang D, Delgado Y, Laing JJ, Peltekian L, Iverson GN, Grady F, Miller RL, McCann CM, Fritzsch B, Iskusnykh IY, Chizhikov VV, Geerling JC. Molecular ontology of the parabrachial nucleus. J Comp Neurol 2022; 530:1658-1699. [PMID: 35134251 PMCID: PMC9119955 DOI: 10.1002/cne.25307] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 01/22/2022] [Accepted: 01/25/2022] [Indexed: 11/07/2022]
Abstract
This article has been removed because of a technical problem in the rendering of the PDF. 11 February 2022.
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Affiliation(s)
| | - Dake Huang
- Department of NeurologyUniversity of IowaIowa CityIowaUSA
| | | | | | - Lila Peltekian
- Department of NeurologyUniversity of IowaIowa CityIowaUSA
| | | | - Fillan Grady
- Department of NeurologyUniversity of IowaIowa CityIowaUSA
| | - Rebecca L. Miller
- Department of Anatomy and NeurobiologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Corey M. McCann
- Department of Anatomy and NeurobiologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Bernd Fritzsch
- Iowa Neuroscience InstituteIowa CityIowaUSA
- Department of BiologyUniversity of IowaIowa CityIowaUSA
| | - Igor Y. Iskusnykh
- Department of Anatomy and NeurobiologyUniversity of Tennessee Health Science CenterMemphisTennesseeUSA
| | - Victor V. Chizhikov
- Department of Anatomy and NeurobiologyUniversity of Tennessee Health Science CenterMemphisTennesseeUSA
| | - Joel C. Geerling
- Department of NeurologyUniversity of IowaIowa CityIowaUSA
- Iowa Neuroscience InstituteIowa CityIowaUSA
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24
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Dempsey B, Sungeelee S, Bokiniec P, Chettouh Z, Diem S, Autran S, Harrell ER, Poulet JFA, Birchmeier C, Carey H, Genovesio A, McMullan S, Goridis C, Fortin G, Brunet JF. A medullary centre for lapping in mice. Nat Commun 2021; 12:6307. [PMID: 34728601 PMCID: PMC8563905 DOI: 10.1038/s41467-021-26275-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 09/27/2021] [Indexed: 01/14/2023] Open
Abstract
It has long been known that orofacial movements for feeding can be triggered, coordinated, and often rhythmically organized at the level of the brainstem, without input from higher centers. We uncover two nuclei that can organize the movements for ingesting fluids in mice. These neuronal groups, IRtPhox2b and Peri5Atoh1, are marked by expression of the pan-autonomic homeobox gene Phox2b and are located, respectively, in the intermediate reticular formation of the medulla and around the motor nucleus of the trigeminal nerve. They are premotor to all jaw-opening and tongue muscles. Stimulation of either, in awake animals, opens the jaw, while IRtPhox2b alone also protracts the tongue. Moreover, stationary stimulation of IRtPhox2b entrains a rhythmic alternation of tongue protraction and retraction, synchronized with jaw opening and closing, that mimics lapping. Finally, fiber photometric recordings show that IRtPhox2b is active during volitional lapping. Our study identifies one of the subcortical nuclei underpinning a stereotyped feeding behavior.
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Affiliation(s)
- Bowen Dempsey
- Institut de Biologie de l'ENS (IBENS), Inserm, CNRS, École normale supérieure, PSL Research University, Paris, France
| | - Selvee Sungeelee
- Institut de Biologie de l'ENS (IBENS), Inserm, CNRS, École normale supérieure, PSL Research University, Paris, France
| | - Phillip Bokiniec
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), and Neuroscience Research Center, Charité-Universitätsmedizin, Berlin, Germany
| | - Zoubida Chettouh
- Institut de Biologie de l'ENS (IBENS), Inserm, CNRS, École normale supérieure, PSL Research University, Paris, France
| | - Séverine Diem
- Université Paris-Saclay, CNRS, Institut des Neurosciences NeuroPSI, Gif-sur-Yvette, France
| | - Sandra Autran
- Université Paris-Saclay, CNRS, Institut des Neurosciences NeuroPSI, Gif-sur-Yvette, France
| | - Evan R Harrell
- Institut Pasteur, INSERM, Institut de l'Audition, Paris, France
| | - James F A Poulet
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), and Neuroscience Research Center, Charité-Universitätsmedizin, Berlin, Germany
| | - Carmen Birchmeier
- Developmental Biology/Signal Transduction, Max Delbrueck Center for Molecular Medicine, and Cluster of Excellence NeuroCure, Neuroscience Research Center, Charité-Universitätsmedizin, Berlin, Germany
| | - Harry Carey
- Faculty of Medicine, Health & Human Sciences, Macquarie University, Macquarie Park, NSW, Australia
| | - Auguste Genovesio
- Institut de Biologie de l'ENS (IBENS), Inserm, CNRS, École normale supérieure, PSL Research University, Paris, France
| | - Simon McMullan
- Faculty of Medicine, Health & Human Sciences, Macquarie University, Macquarie Park, NSW, Australia
| | - Christo Goridis
- Institut de Biologie de l'ENS (IBENS), Inserm, CNRS, École normale supérieure, PSL Research University, Paris, France
| | - Gilles Fortin
- Institut de Biologie de l'ENS (IBENS), Inserm, CNRS, École normale supérieure, PSL Research University, Paris, France
| | - Jean-François Brunet
- Institut de Biologie de l'ENS (IBENS), Inserm, CNRS, École normale supérieure, PSL Research University, Paris, France.
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25
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Takatoh J, Park JH, Lu J, Li S, Thompson PM, Han BX, Zhao S, Kleinfeld D, Friedman B, Wang F. Constructing an adult orofacial premotor atlas in Allen mouse CCF. eLife 2021; 10:67291. [PMID: 33904410 PMCID: PMC8137149 DOI: 10.7554/elife.67291] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 04/26/2021] [Indexed: 12/19/2022] Open
Abstract
Premotor circuits in the brainstem project to pools of orofacial motoneurons to execute essential motor action such as licking, chewing, breathing, and in rodent, whisking. Previous transsynaptic tracing studies only mapped orofacial premotor circuits in neonatal mice, but the adult circuits remain unknown as a consequence of technical difficulties. Here, we developed a three-step monosynaptic transsynaptic tracing strategy to identify premotor neurons controlling vibrissa, tongue protrusion, and jaw-closing muscles in the adult mouse. We registered these different groups of premotor neurons onto the Allen mouse brain common coordinate framework (CCF) and consequently generated a combined 3D orofacial premotor atlas, revealing unique spatial organizations of distinct premotor circuits. We further uncovered premotor neurons that simultaneously innervate multiple motor nuclei and, consequently, are likely to coordinate different muscles involved in the same orofacial motor actions. Our method for tracing adult premotor circuits and registering to Allen CCF is generally applicable and should facilitate the investigations of motor controls of diverse behaviors.
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Affiliation(s)
- Jun Takatoh
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.,Department of Neurobiology, Duke University, Durham, United States
| | - Jae Hong Park
- Department of Biomedical Engineering, Duke University, Durham, United States
| | - Jinghao Lu
- Department of Neurobiology, Duke University, Durham, United States
| | - Shun Li
- Department of Neurobiology, Duke University, Durham, United States
| | - P M Thompson
- Department of Biomedical Engineering, Duke University, Durham, United States
| | - Bao-Xia Han
- Department of Neurobiology, Duke University, Durham, United States
| | - Shengli Zhao
- Department of Neurobiology, Duke University, Durham, United States
| | - David Kleinfeld
- Section of Neurobiology, University of California at San Diego, San Diego, United States.,Department of Physics, University of California at San Diego, San Diego, United States
| | - Beth Friedman
- Department of Computer Science and Engineering, University of California at San Diego, San Diego, United States
| | - Fan Wang
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.,Department of Neurobiology, Duke University, Durham, United States.,Department of Biomedical Engineering, Duke University, Durham, United States
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