1
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Baranauskas G. Slow off responses in the rat superior colliculus neurons may contribute to the predator detection. Brain Res Bull 2025; 220:111163. [PMID: 39647640 DOI: 10.1016/j.brainresbull.2024.111163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Revised: 12/02/2024] [Accepted: 12/06/2024] [Indexed: 12/10/2024]
Abstract
A slowly moving dark spot imitating the shadow of a hovering bird of prey has been shown to induce freezing in rodents. Such visually triggered behaviours are usually initiated in the superior colliculus (SC); therefore, it is likely that such slowly moving dark spots can produce responses in SC neurons. In SC, two types of visual responses are typically distinguished: ON responses are produced by an increase in image brightness, and OFF responses are produced by a decrease in image brightness. Typically, OFF responses are very brief, lasting only a few hundred milliseconds, and may be poorly suited for the detection of slowly moving dark spots. Here, we report that, in the majority of SC neurons of urethane-anaesthetized rats, in addition to these brief OFF responses, very slow OFF responses lasting over 5 s were present; thus, OFF responses that occurred > 1 s after the stimulus offset were termed 'slow OFF' response, while brief, less than 1 s long OFF responses were called 'fast OFF' response. Although the slow OFF responses were of similar amplitude as the fast OFF responses (∼5 Hz), the optimal size (producing the maximal response) was larger for the slow OFF responses (20° for the slow and 10° for the fast OFF responses). Correlation analysis revealed that both the fast and the slow components of the OFF response contribute to the response to a slowly moving spot. Elimination of visual cortex inputs increased the amplitude and duration of the slow OFF responses, indicating that they originate in the retina. It is concluded that in rodent SC, a new type of OFF response that is well suited for predator detection is present.
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Affiliation(s)
- Gytis Baranauskas
- Neurophysiology Laboratory, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania.
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2
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Guillamón-Vivancos T, Favaloro F, Dori F, López-Bendito G. The superior colliculus: New insights into an evolutionarily ancient structure. Curr Opin Neurobiol 2024; 89:102926. [PMID: 39383569 DOI: 10.1016/j.conb.2024.102926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 09/04/2024] [Accepted: 09/13/2024] [Indexed: 10/11/2024]
Abstract
The superior colliculus is a structure located in the dorsal midbrain with well conserved function and connectivity across species. Essential for survival, the superior colliculus has evolved to trigger rapid orientation and avoidance movements in response to external stimuli. The increasing recognition of the widespread connectivity of the superior colliculus, not only with brainstem and spinal cord, but also with virtually all brain structures, has rekindled the interest on this structure and revealed novel roles in the past few years. In this review, we focus on the most recent advancements in understanding its cellular composition, connectivity and function, with a particular focus on how the cellular diversity and connectivity arises during development, as well as on its recent role in the emergence of sensory circuits.
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Affiliation(s)
- Teresa Guillamón-Vivancos
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain.
| | - Fabrizio Favaloro
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain. https://twitter.com@F_Favaloro22
| | - Francesco Dori
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain. https://twitter.com@francesco_dori
| | - Guillermina López-Bendito
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain.
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3
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Stringer C, Pachitariu M. Analysis methods for large-scale neuronal recordings. Science 2024; 386:eadp7429. [PMID: 39509504 DOI: 10.1126/science.adp7429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Accepted: 09/27/2024] [Indexed: 11/15/2024]
Abstract
Simultaneous recordings from hundreds or thousands of neurons are becoming routine because of innovations in instrumentation, molecular tools, and data processing software. Such recordings can be analyzed with data science methods, but it is not immediately clear what methods to use or how to adapt them for neuroscience applications. We review, categorize, and illustrate diverse analysis methods for neural population recordings and describe how these methods have been used to make progress on longstanding questions in neuroscience. We review a variety of approaches, ranging from the mathematically simple to the complex, from exploratory to hypothesis-driven, and from recently developed to more established methods. We also illustrate some of the common statistical pitfalls in analyzing large-scale neural data.
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Affiliation(s)
- Carsen Stringer
- Howard Hughes Medical Institute (HHMI) Janelia Research Campus, Ashburn, VA, USA
| | - Marius Pachitariu
- Howard Hughes Medical Institute (HHMI) Janelia Research Campus, Ashburn, VA, USA
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4
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Cang J, Chen C, Li C, Liu Y. Genetically defined neuron types underlying visuomotor transformation in the superior colliculus. Nat Rev Neurosci 2024; 25:726-739. [PMID: 39333418 DOI: 10.1038/s41583-024-00856-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/16/2024] [Indexed: 09/29/2024]
Abstract
The superior colliculus (SC) is a conserved midbrain structure that is important for transforming visual and other sensory information into motor actions. Decades of investigations in numerous species have made the SC and its nonmammalian homologue, the optic tectum, one of the best studied structures in the brain, with rich information now available regarding its anatomical organization, its extensive inputs and outputs and its important functions in many reflexive and cognitive behaviours. Excitingly, recent studies using modern genomic and physiological approaches have begun to reveal the diverse neuronal subtypes in the SC, as well as their unique functions in visuomotor transformation. Studies have also started to uncover how subtypes of SC neurons form intricate circuits to mediate visual processing and visually guided behaviours. Here, we review these recent discoveries on the cell types and neuronal circuits underlying visuomotor transformations mediated by the SC. We also highlight the important future directions made possible by these new developments.
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Affiliation(s)
- Jianhua Cang
- Department of Biology, University of Virginia, Charlottesville, VA, USA.
- Department of Psychology, University of Virginia, Charlottesville, VA, USA.
| | - Chen Chen
- Department of Psychology, University of Virginia, Charlottesville, VA, USA
| | - Chuiwen Li
- Department of Psychology, University of Virginia, Charlottesville, VA, USA
| | - Yuanming Liu
- Department of Biology, University of Virginia, Charlottesville, VA, USA
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5
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He Y, Chou XL, Lavoie A, Liu J, Russo M, Liu BH. Brainstem inhibitory neurons enhance behavioral feature selectivity by sharpening the tuning of excitatory neurons. Curr Biol 2024; 34:4623-4638.e8. [PMID: 39303712 DOI: 10.1016/j.cub.2024.08.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/30/2024] [Accepted: 08/21/2024] [Indexed: 09/22/2024]
Abstract
The brainstem is a hub for sensorimotor integration, which mediates crucial innate behaviors. This brain region is characterized by a rich population of GABAergic inhibitory neurons, required for the proper expression of these innate behaviors. However, what roles these inhibitory neurons play in innate behaviors and how they function are still not fully understood. Here, we show that inhibitory neurons in the nucleus of the optic tract and dorsal-terminal nuclei (NOT-DTN) of the mouse can modulate the innate eye movement optokinetic reflex (OKR) by shaping the tuning properties of excitatory NOT-DTN neurons. Specifically, we demonstrate that although these inhibitory neurons do not directly induce OKR, they enhance the visual feature selectivity of OKR behavior, which is mediated by the activity of excitatory NOT-DTN neurons. Moreover, consistent with the sharpening role of inhibitory neurons in OKR behavior, they have broader tuning relative to excitatory neurons. Last, we demonstrate that inhibitory NOT-DTN neurons directly provide synaptic inhibition to nearby excitatory neurons and sharpen their tuning in a sustained manner, accounting for the enhanced feature selectivity of OKR behavior. In summary, our findings uncover a fundamental principle underlying the computational role of inhibitory neurons in brainstem sensorimotor circuits.
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Affiliation(s)
- Yingtian He
- Department of Biology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada; Department of Cell and Systems Biology, University of Toronto, Toronto, ON M5S 3G5, Canada
| | - Xiao-Lin Chou
- Department of Biology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada
| | - Andreanne Lavoie
- Department of Biology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada; Department of Cell and Systems Biology, University of Toronto, Toronto, ON M5S 3G5, Canada
| | - Jiashu Liu
- Department of Biology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada; Department of Cell and Systems Biology, University of Toronto, Toronto, ON M5S 3G5, Canada
| | - Milena Russo
- Department of Biology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada; Department of Cell and Systems Biology, University of Toronto, Toronto, ON M5S 3G5, Canada
| | - Bao-Hua Liu
- Department of Biology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada; Department of Cell and Systems Biology, University of Toronto, Toronto, ON M5S 3G5, Canada.
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6
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Cheung G, Pauler FM, Koppensteiner P, Hippenmeyer S. Protocol for mapping cell lineage and cell-type identity of clonally-related cells in situ using MADM-CloneSeq. STAR Protoc 2024; 5:103168. [PMID: 38968076 PMCID: PMC11452916 DOI: 10.1016/j.xpro.2024.103168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/17/2024] [Accepted: 06/13/2024] [Indexed: 07/07/2024] Open
Abstract
The lineage relationship of clonally-related cells offers important insights into the ontogeny and cytoarchitecture of the brain in health and disease. Here, we provide a protocol to concurrently assess cell lineage relationship and cell-type identity among clonally-related cells in situ. We first describe the preparation and screening of acute brain slices containing clonally-related cells labeled using mosaic analysis with double markers (MADM). We then outline steps to collect RNA from individual cells for downstream applications and cell-type identification using RNA sequencing. For complete details on the use and execution of this protocol, please refer to Cheung et al.1.
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Affiliation(s)
- Giselle Cheung
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Florian M Pauler
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Peter Koppensteiner
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Simon Hippenmeyer
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria.
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7
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Schwalbe DC, Stornetta DS, Abraham-Fan RJ, Souza GMPR, Jalil M, Crook ME, Campbell JN, Abbott SBG. Molecular Organization of Autonomic, Respiratory, and Spinally-Projecting Neurons in the Mouse Ventrolateral Medulla. J Neurosci 2024; 44:e2211232024. [PMID: 38918066 PMCID: PMC11293450 DOI: 10.1523/jneurosci.2211-23.2024] [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: 11/28/2023] [Revised: 06/05/2024] [Accepted: 06/11/2024] [Indexed: 06/27/2024] Open
Abstract
The ventrolateral medulla (VLM) is a crucial region in the brain for visceral and somatic control, serving as a significant source of synaptic input to the spinal cord. Experimental studies have shown that gene expression in individual VLM neurons is predictive of their function. However, the molecular and cellular organization of the VLM has remained uncertain. This study aimed to create a comprehensive dataset of VLM cells using single-cell RNA sequencing in male and female mice. The dataset was enriched with targeted sequencing of spinally-projecting and adrenergic/noradrenergic VLM neurons. Based on differentially expressed genes, the resulting dataset of 114,805 VLM cells identifies 23 subtypes of neurons, excluding those in the inferior olive, and five subtypes of astrocytes. Spinally-projecting neurons were found to be abundant in seven subtypes of neurons, which were validated through in situ hybridization. These subtypes included adrenergic/noradrenergic neurons, serotonergic neurons, and neurons expressing gene markers associated with premotor neurons in the ventromedial medulla. Further analysis of adrenergic/noradrenergic neurons and serotonergic neurons identified nine and six subtypes, respectively, within each class of monoaminergic neurons. Marker genes that identify the neural network responsible for breathing were concentrated in two subtypes of neurons, delineated from each other by markers for excitatory and inhibitory neurons. These datasets are available for public download and for analysis with a user-friendly interface. Collectively, this study provides a fine-scale molecular identification of cells in the VLM, forming the foundation for a better understanding of the VLM's role in vital functions and motor control.
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Affiliation(s)
- Dana C Schwalbe
- Departments of Biology, University of Virginia, Charlottesville, Virginia 22904
| | | | | | | | - Maira Jalil
- Departments of Biology, University of Virginia, Charlottesville, Virginia 22904
| | - Maisie E Crook
- Departments of Biology, University of Virginia, Charlottesville, Virginia 22904
| | - John N Campbell
- Departments of Biology, University of Virginia, Charlottesville, Virginia 22904
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8
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Tzanou A, Theodorou E, Mantas I, Dalezios Y. Excitatory Projections of Wide Field Collicular Neurons to the Nucleus of the Optic Tract in the Rat. J Comp Neurol 2024; 532:e25651. [PMID: 38961597 DOI: 10.1002/cne.25651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 05/20/2024] [Accepted: 06/07/2024] [Indexed: 07/05/2024]
Abstract
The superficial layers of the mammalian superior colliculus (SC) contain neurons that are generally responsive to visual stimuli but can differ considerably in morphology and response properties. To elucidate the structure and function of these neurons, we combined extracellular recording and juxtacellular labeling, detailed anatomical reconstruction, and ultrastructural analysis of the synaptic contacts of labeled neurons, using transmission electron microscopy. Our labeled neurons project to different brainstem nuclei. Of particular importance are neurons that fit the morphological criteria of the wide field (WF) neurons and whose dendrites are horizontally oriented. They display a rather characteristic axonal projection pattern to the nucleus of optic tract (NOT); thus, we call them superior collicular WF projecting to the NOT (SCWFNOT) neurons. We corroborated the morphological characterization of this neuronal type as a distinct neuronal class with the help of unsupervised hierarchical cluster analysis. Our ultrastructural data demonstrate that SCWFNOT neurons establish excitatory connections with their targets in the NOT. Although, in rodents, the literature about the WF neurons has focused on their extensive projection to the lateral posterior nucleus of the thalamus, as a conduit for information to reach the visual association areas of the cortex, our data suggest that this subclass of WF neurons may participate in the optokinetic nystagmus.
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Affiliation(s)
- Athanasia Tzanou
- School of Medicine, University of Crete, Heraklion, Greece
- Institute of Applied and Computational Mathematics (IACM), Foundation for Research and Technology-Hellas (FORTH), Heraklion, Greece
| | - Eirini Theodorou
- School of Medicine, University of Crete, Heraklion, Greece
- Institute of Applied and Computational Mathematics (IACM), Foundation for Research and Technology-Hellas (FORTH), Heraklion, Greece
| | - Ioannis Mantas
- School of Medicine, University of Crete, Heraklion, Greece
| | - Yannis Dalezios
- School of Medicine, University of Crete, Heraklion, Greece
- Institute of Applied and Computational Mathematics (IACM), Foundation for Research and Technology-Hellas (FORTH), Heraklion, Greece
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9
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Liu Y. The Molecular Logic of Synaptic Specificity in the Retinocollicular Pathway. J Neurosci 2024; 44:e0383242024. [PMID: 38897733 PMCID: PMC11209652 DOI: 10.1523/jneurosci.0383-24.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 06/21/2024] Open
Affiliation(s)
- Yuanming Liu
- Department of Biology, University of Virginia, Charlottesville, Virginia 22904
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10
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DePiero VJ, Deng Z, Chen C, Savier EL, Chen H, Wei W, Cang J. Transformation of Motion Pattern Selectivity from Retina to Superior Colliculus. J Neurosci 2024; 44:e1704232024. [PMID: 38569924 PMCID: PMC11097260 DOI: 10.1523/jneurosci.1704-23.2024] [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: 09/11/2023] [Revised: 03/07/2024] [Accepted: 03/26/2024] [Indexed: 04/05/2024] Open
Abstract
The superior colliculus (SC) is a prominent and conserved visual center in all vertebrates. In mice, the most superficial lamina of the SC is enriched with neurons that are selective for the moving direction of visual stimuli. Here, we study how these direction selective neurons respond to complex motion patterns known as plaids, using two-photon calcium imaging in awake male and female mice. The plaid pattern consists of two superimposed sinusoidal gratings moving in different directions, giving an apparent pattern direction that lies between the directions of the two component gratings. Most direction selective neurons in the mouse SC respond robustly to the plaids and show a high selectivity for the moving direction of the plaid pattern but not of its components. Pattern motion selectivity is seen in both excitatory and inhibitory SC neurons and is especially prevalent in response to plaids with large cross angles between the two component gratings. However, retinal inputs to the SC are ambiguous in their selectivity to pattern versus component motion. Modeling suggests that pattern motion selectivity in the SC can arise from a nonlinear transformation of converging retinal inputs. In contrast, the prevalence of pattern motion selective neurons is not seen in the primary visual cortex (V1). These results demonstrate an interesting difference between the SC and V1 in motion processing and reveal the SC as an important site for encoding pattern motion.
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Affiliation(s)
- Victor J DePiero
- Department of Biology, University of Virginia, Charlottesville, Virginia 22904
- Department of Psychology, University of Virginia, Charlottesville, Virginia 22904
| | - Zixuan Deng
- Committee on Neurobiology, University of Chicago, Chicago, Illinois 60637
| | - Chen Chen
- Department of Psychology, University of Virginia, Charlottesville, Virginia 22904
| | - Elise L Savier
- Department of Biology, University of Virginia, Charlottesville, Virginia 22904
- Department of Physiology, University of Michigan, Ann Arbor, Michigan 48109
| | - Hui Chen
- Department of Biology, University of Virginia, Charlottesville, Virginia 22904
- Department of Psychology, University of Virginia, Charlottesville, Virginia 22904
| | - Wei Wei
- Department of Neurobiology, Neuroscience Institute, University of Chicago, Chicago, Illinois 60637
| | - Jianhua Cang
- Department of Biology, University of Virginia, Charlottesville, Virginia 22904
- Department of Psychology, University of Virginia, Charlottesville, Virginia 22904
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11
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Tworig JM, Morrie RD, Bistrong K, Somaiya RD, Hsu S, Liang J, Cornejo KG, Feller MB. Differential Expression Analysis Identifies Candidate Synaptogenic Molecules for Wiring Direction-Selective Circuits in the Retina. J Neurosci 2024; 44:e1461232024. [PMID: 38514178 PMCID: PMC11063823 DOI: 10.1523/jneurosci.1461-23.2024] [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: 08/01/2023] [Revised: 02/16/2024] [Accepted: 02/22/2024] [Indexed: 03/23/2024] Open
Abstract
An organizational feature of neural circuits is the specificity of synaptic connections. A striking example is the direction-selective (DS) circuit of the retina. There are multiple subtypes of DS retinal ganglion cells (DSGCs) that prefer motion along one of four preferred directions. This computation is mediated by selective wiring of a single inhibitory interneuron, the starburst amacrine cell (SAC), with each DSGC subtype preferentially receiving input from a subset of SAC processes. We hypothesize that the molecular basis of this wiring is mediated in part by unique expression profiles of DSGC subtypes. To test this, we first performed paired recordings from isolated mouse retinas of both sexes to determine that postnatal day 10 (P10) represents the age at which asymmetric synapses form. Second, we performed RNA sequencing and differential expression analysis on isolated P10 ON-OFF DSGCs tuned for either nasal or ventral motion and identified candidates which may promote direction-specific wiring. We then used a conditional knock-out strategy to test the role of one candidate, the secreted synaptic organizer cerebellin-4 (Cbln4), in the development of DS tuning. Using two-photon calcium imaging, we observed a small deficit in directional tuning among ventral-preferring DSGCs lacking Cbln4, though whole-cell voltage-clamp recordings did not identify a significant change in inhibitory inputs. This suggests that Cbln4 does not function primarily via a cell-autonomous mechanism to instruct wiring of DS circuits. Nevertheless, our transcriptomic analysis identified unique candidate factors for gaining insights into the molecular mechanisms that instruct wiring specificity in the DS circuit.
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Affiliation(s)
- Joshua M Tworig
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Ryan D Morrie
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Karina Bistrong
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Rachana D Somaiya
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Shaw Hsu
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Jocelyn Liang
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Karen G Cornejo
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Marla B Feller
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
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12
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Krizan J, Song X, Fitzpatrick MJ, Shen N, Soto F, Kerschensteiner D. Predation without direction selectivity. Proc Natl Acad Sci U S A 2024; 121:e2317218121. [PMID: 38483997 PMCID: PMC10962952 DOI: 10.1073/pnas.2317218121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/27/2024] [Indexed: 03/19/2024] Open
Abstract
Across the animal kingdom, visual predation relies on motion-sensing neurons in the superior colliculus (SC) and its orthologs. These neurons exhibit complex stimulus preferences, including direction selectivity, which is thought to be critical for tracking the unpredictable escape routes of prey. The source of direction selectivity in the SC is contested, and its contributions to predation have not been tested experimentally. Here, we use type-specific cell removal to show that narrow-field (NF) neurons in the mouse SC guide predation. In vivo recordings demonstrate that direction-selective responses of NF cells are independent of recently reported stimulus-edge effects. Monosynaptic retrograde tracing reveals that NF cells receive synaptic input from direction-selective ganglion cells. When we eliminate direction selectivity in the retina of adult mice, direction-selective responses in the SC, including in NF cells, are lost. However, eliminating retinal direction selectivity does not affect the hunting success or strategies of mice, even when direction selectivity is removed after mice have learned to hunt, and despite abolishing the gaze-stabilizing optokinetic reflex. Thus, our results identify the retinal source of direction selectivity in the SC. They show that NF cells in the SC guide predation, an essential spatial orienting task, independent of their direction selectivity, revealing behavioral multiplexing of complex neural feature preferences and highlighting the importance of feature-selective manipulations for neuroethology.
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Affiliation(s)
- Jenna Krizan
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO63110
- Graduate program in Neuroscience, Roy and Diana Vagelos Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO63110
| | - Xiayingfang Song
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO63110
- Graduate program in Biomedical Engineering, Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO63130
| | - Michael J. Fitzpatrick
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO63110
- Graduate program in Neuroscience, Roy and Diana Vagelos Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO63110
| | - Ning Shen
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO63110
| | - Florentina Soto
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO63110
| | - Daniel Kerschensteiner
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO63110
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO63110
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO63130
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13
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Kerschensteiner D, Feller MB. Mapping the Retina onto the Brain. Cold Spring Harb Perspect Biol 2024; 16:a041512. [PMID: 38052498 PMCID: PMC10835620 DOI: 10.1101/cshperspect.a041512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
Vision begins in the retina, which extracts salient features from the environment and encodes them in the spike trains of retinal ganglion cells (RGCs), the output neurons of the eye. RGC axons innervate diverse brain areas (>50 in mice) to support perception, guide behavior, and mediate influences of light on physiology and internal states. In recent years, complete lists of RGC types (∼45 in mice) have been compiled, detailed maps of their dendritic connections drawn, and their light responses surveyed at scale. We know less about the RGCs' axonal projection patterns, which map retinal information onto the brain. However, some organizing principles have emerged. Here, we review the strategies and mechanisms that govern developing RGC axons and organize their innervation of retinorecipient brain areas.
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Affiliation(s)
- Daniel Kerschensteiner
- Department of Ophthalmology and Visual Sciences
- Department of Neuroscience
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Marla B Feller
- Department of Molecular and Cell Biology
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California 94720, USA
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14
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Cheung G, Pauler FM, Koppensteiner P, Krausgruber T, Streicher C, Schrammel M, Gutmann-Özgen N, Ivec AE, Bock C, Shigemoto R, Hippenmeyer S. Multipotent progenitors instruct ontogeny of the superior colliculus. Neuron 2024; 112:230-246.e11. [PMID: 38096816 DOI: 10.1016/j.neuron.2023.11.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 10/06/2023] [Accepted: 11/10/2023] [Indexed: 01/21/2024]
Abstract
The superior colliculus (SC) in the mammalian midbrain is essential for multisensory integration and is composed of a rich diversity of excitatory and inhibitory neurons and glia. However, the developmental principles directing the generation of SC cell-type diversity are not understood. Here, we pursued systematic cell lineage tracing in silico and in vivo, preserving full spatial information, using genetic mosaic analysis with double markers (MADM)-based clonal analysis with single-cell sequencing (MADM-CloneSeq). The analysis of clonally related cell lineages revealed that radial glial progenitors (RGPs) in SC are exceptionally multipotent. Individual resident RGPs have the capacity to produce all excitatory and inhibitory SC neuron types, even at the stage of terminal division. While individual clonal units show no pre-defined cellular composition, the establishment of appropriate relative proportions of distinct neuronal types occurs in a PTEN-dependent manner. Collectively, our findings provide an inaugural framework at the single-RGP/-cell level of the mammalian SC ontogeny.
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Affiliation(s)
- Giselle Cheung
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Florian M Pauler
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Peter Koppensteiner
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Thomas Krausgruber
- CeMM Research Center for Molecular Medicine, Austrian Academy of Sciences; 1090 Vienna, Austria; Medical University of Vienna, Institute of Artificial Intelligence, Center for Medical Data Science, 1090 Vienna, Austria
| | - Carmen Streicher
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Martin Schrammel
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Natalie Gutmann-Özgen
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Alexis E Ivec
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine, Austrian Academy of Sciences; 1090 Vienna, Austria; Medical University of Vienna, Institute of Artificial Intelligence, Center for Medical Data Science, 1090 Vienna, Austria
| | - Ryuichi Shigemoto
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Simon Hippenmeyer
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria.
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15
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Li Z, Peng B, Huang JJ, Zhang Y, Seo MB, Fang Q, Zhang GW, Zhang X, Zhang LI, Tao HW. Enhancement and contextual modulation of visuospatial processing by thalamocollicular projections from ventral lateral geniculate nucleus. Nat Commun 2023; 14:7278. [PMID: 37949869 PMCID: PMC10638288 DOI: 10.1038/s41467-023-43147-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 11/01/2023] [Indexed: 11/12/2023] Open
Abstract
In the mammalian visual system, the ventral lateral geniculate nucleus (vLGN) of the thalamus receives salient visual input from the retina and sends prominent GABAergic axons to the superior colliculus (SC). However, whether and how vLGN contributes to fundamental visual information processing remains largely unclear. Here, we report in mice that vLGN facilitates visually-guided approaching behavior mediated by the lateral SC and enhances the sensitivity of visual object detection. This can be attributed to the extremely broad spatial integration of vLGN neurons, as reflected in their much lower preferred spatial frequencies and broader spatial receptive fields than SC neurons. Through GABAergic thalamocollicular projections, vLGN specifically exerts prominent surround suppression of visuospatial processing in SC, leading to a fine tuning of SC preferences to higher spatial frequencies and smaller objects in a context-dependent manner. Thus, as an essential component of the central visual processing pathway, vLGN serves to refine and contextually modulate visuospatial processing in SC-mediated visuomotor behaviors via visually-driven long-range feedforward inhibition.
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Affiliation(s)
- Zhong Li
- Center for Neural Circuits and Sensory Processing Disorders, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Bo Peng
- Center for Neural Circuits and Sensory Processing Disorders, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Graduate Program in Neuroscience, University of Southern California, Los Angeles, CA, 90033, USA
| | - Junxiang J Huang
- Center for Neural Circuits and Sensory Processing Disorders, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Graduate Program in Biological and Biomedical Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Yuan Zhang
- Center for Neural Circuits and Sensory Processing Disorders, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Michelle B Seo
- Center for Neural Circuits and Sensory Processing Disorders, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Graduate Program in Neuroscience, University of Southern California, Los Angeles, CA, 90033, USA
| | - Qi Fang
- Center for Neural Circuits and Sensory Processing Disorders, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Graduate Program in Neuroscience, University of Southern California, Los Angeles, CA, 90033, USA
| | - Guang-Wei Zhang
- Center for Neural Circuits and Sensory Processing Disorders, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Xiaohui Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Li I Zhang
- Center for Neural Circuits and Sensory Processing Disorders, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
- Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
| | - Huizhong Whit Tao
- Center for Neural Circuits and Sensory Processing Disorders, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
- Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
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16
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Jiang S, Honnuraiah S, Stuart GJ. Characterization of primary visual cortex input to specific cell types in the superior colliculus. Front Neuroanat 2023; 17:1282941. [PMID: 38020214 PMCID: PMC10667433 DOI: 10.3389/fnana.2023.1282941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
The superior colliculus is a critical brain region involved in processing visual information. It receives visual input directly from the retina, as well as via a projection from primary visual cortex. Here we determine which cell types in the superficial superior colliculus receive visual input from primary visual cortex in mice. Neurons in the superficial layers of the superior colliculus were classified into four groups - Wide-field, narrow-field, horizontal and stellate - based on their morphological and electrophysiological properties. To determine functional connections between V1 and these four different cell types we expressed Channelrhodopsin2 in primary visual cortex and then optically stimulated these axons while recording from different neurons in the superficial superior colliculus using whole-cell patch-clamp recording in vitro. We found that all four cell types in the superficial layers of the superior colliculus received monosynaptic (direct) input from V1. Wide-field neurons were more likely than other cell types to receive primary visual cortex input. Our results provide information on the cell specificity of the primary visual cortex to superior colliculus projection, increasing our understanding of how visual information is processed in the superior colliculus at the single cell level.
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Affiliation(s)
- Shuang Jiang
- Eccles Institute for Neuroscience, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Suraj Honnuraiah
- Eccles Institute for Neuroscience, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Greg J. Stuart
- Eccles Institute for Neuroscience, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
- Department of Physiology, Monash University, Clayton, VIC, Australia
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17
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Gehr C, Sibille J, Kremkow J. Retinal input integration in excitatory and inhibitory neurons in the mouse superior colliculus in vivo. eLife 2023; 12:RP88289. [PMID: 37682267 PMCID: PMC10491433 DOI: 10.7554/elife.88289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023] Open
Abstract
The superior colliculus (SC) is a midbrain structure that receives inputs from retinal ganglion cells (RGCs). The SC contains one of the highest densities of inhibitory neurons in the brain but whether excitatory and inhibitory SC neurons differentially integrate retinal activity in vivo is still largely unknown. We recently established a recording approach to measure the activity of RGCs simultaneously with their postsynaptic SC targets in vivo, to study how SC neurons integrate RGC activity. Here, we employ this method to investigate the functional properties that govern retinocollicular signaling in a cell type-specific manner by identifying GABAergic SC neurons using optotagging in VGAT-ChR2 mice. Our results demonstrate that both excitatory and inhibitory SC neurons receive comparably strong RGC inputs and similar wiring rules apply for RGCs innervation of both SC cell types, unlike the cell type-specific connectivity in the thalamocortical system. Moreover, retinal activity contributed more to the spiking activity of postsynaptic excitatory compared to inhibitory SC neurons. This study deepens our understanding of cell type-specific retinocollicular functional connectivity and emphasizes that the two major brain areas for visual processing, the visual cortex and the SC, differently integrate sensory afferent inputs.
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Affiliation(s)
- Carolin Gehr
- Neuroscience Research Center, Charité-Universitätsmedizin BerlinBerlinGermany
- Bernstein Center for Computational Neuroscience BerlinBerlinGermany
- Institute for Theoretical Biology, Humboldt-Universität zu BerlinBerlinGermany
- Einstein Center for Neurosciences BerlinBerlinGermany
| | - Jeremie Sibille
- Neuroscience Research Center, Charité-Universitätsmedizin BerlinBerlinGermany
- Bernstein Center for Computational Neuroscience BerlinBerlinGermany
- Institute for Theoretical Biology, Humboldt-Universität zu BerlinBerlinGermany
- Einstein Center for Neurosciences BerlinBerlinGermany
| | - Jens Kremkow
- Neuroscience Research Center, Charité-Universitätsmedizin BerlinBerlinGermany
- Bernstein Center for Computational Neuroscience BerlinBerlinGermany
- Institute for Theoretical Biology, Humboldt-Universität zu BerlinBerlinGermany
- Einstein Center for Neurosciences BerlinBerlinGermany
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