1
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Müllner FE, Roska B. Individual thalamic inhibitory interneurons are functionally specialized toward distinct visual features. Neuron 2024; 112:2765-2782.e9. [PMID: 38917805 DOI: 10.1016/j.neuron.2024.06.001] [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: 05/27/2023] [Revised: 03/22/2024] [Accepted: 06/03/2024] [Indexed: 06/27/2024]
Abstract
Inhibitory interneurons in the dorsolateral geniculate nucleus (dLGN) are situated at the first central synapse of the image-forming visual pathway, but little is known about their function. Given their anatomy, they are expected to be multiplexors, integrating many different retinal channels along their dendrites. Here, using targeted single-cell-initiated rabies tracing, we found that mouse dLGN interneurons exhibit a degree of retinal input specialization similar to thalamocortical neurons. Some are anatomically highly specialized, for example, toward motion-selective information. Two-photon calcium imaging performed in vivo revealed that interneurons are also functionally specialized. In mice lacking retinal horizontal direction selectivity, horizontal direction selectivity is reduced in interneurons, suggesting a causal link between input and functional specialization. Functional specialization is not only present at interneuron somata but also extends into their dendrites. Altogether, inhibitory interneurons globally display distinct visual features which reflect their retinal input specialization and are ideally suited to perform feature-selective inhibition.
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Affiliation(s)
- Fiona E Müllner
- Institute of Molecular and Clinical Ophthalmology Basel, 4031 Basel, Switzerland; Department of Ophthalmology, University of Basel, 4031 Basel, Switzerland; Friedrich Miescher Institute for Biomedical Research, 4056 Basel, Switzerland
| | - Botond Roska
- Institute of Molecular and Clinical Ophthalmology Basel, 4031 Basel, Switzerland; Department of Ophthalmology, University of Basel, 4031 Basel, Switzerland.
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2
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Mai J, Gargiullo R, Zheng M, Esho V, Hussein OE, Pollay E, Bowe C, Williamson LM, McElroy AF, Saunders JL, Goolsby WN, Brooks KA, Rodgers CC. Sound-seeking before and after hearing loss in mice. Sci Rep 2024; 14:19181. [PMID: 39160202 PMCID: PMC11333604 DOI: 10.1038/s41598-024-67577-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 07/11/2024] [Indexed: 08/21/2024] Open
Abstract
How we move our bodies affects how we perceive sound. For instance, head movements help us to better localize the source of a sound and to compensate for asymmetric hearing loss. However, many auditory experiments are designed to restrict head and body movements. To study the role of movement in hearing, we developed a behavioral task called sound-seeking that rewarded freely moving mice for tracking down an ongoing sound source. Over the course of learning, mice more efficiently navigated to the sound. Next, we asked how sound-seeking was affected by hearing loss induced by surgical removal of the malleus from the middle ear. After bilateral hearing loss sound-seeking performance drastically declined and did not recover. In striking contrast, after unilateral hearing loss mice were only transiently impaired and then recovered their sound-seek ability over about a week. Throughout recovery, unilateral mice increasingly relied on a movement strategy of sequentially checking potential locations for the sound source. In contrast, the startle reflex (an innate auditory behavior) was preserved after unilateral hearing loss and abolished by bilateral hearing loss without recovery over time. In sum, mice compensate with body movement for permanent unilateral damage to the peripheral auditory system. Looking forward, this paradigm provides an opportunity to examine how movement enhances perception and enables resilient adaptation to sensory disorders.
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Affiliation(s)
- Jessica Mai
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Rowan Gargiullo
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Megan Zheng
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Valentina Esho
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Osama E Hussein
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Eliana Pollay
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Cedric Bowe
- Neuroscience Graduate Program, Emory University, Atlanta, GA, 30322, USA
| | - Lucas M Williamson
- Neuroscience Graduate Program, Emory University, Atlanta, GA, 30322, USA
| | - Abigail F McElroy
- Neuroscience Graduate Program, Emory University, Atlanta, GA, 30322, USA
| | - Jonny L Saunders
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - William N Goolsby
- Department of Cell Biology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Kaitlyn A Brooks
- Department of Otolaryngology-Head and Neck Surgery, Emory University School of Medicine, Atlanta, GA, 30308, USA
| | - Chris C Rodgers
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, 30322, USA.
- Department of Cell Biology, Emory University School of Medicine, Atlanta, GA, 30322, USA.
- Department of Biomedical Engineering, Georgia Tech and Emory University School of Medicine, Atlanta, GA, 30322, USA.
- Department of Biology, Emory College of Arts and Sciences, Atlanta, GA, 30322, USA.
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3
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Herrera E, Chédotal A, Mason C. Development of the Binocular Circuit. Annu Rev Neurosci 2024; 47:303-322. [PMID: 38635868 DOI: 10.1146/annurev-neuro-111020-093230] [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] [Indexed: 04/20/2024]
Abstract
Seeing in three dimensions is a major property of the visual system in mammals. The circuit underlying this property begins in the retina, from which retinal ganglion cells (RGCs) extend to the same or opposite side of the brain. RGC axons decussate to form the optic chiasm, then grow to targets in the thalamus and midbrain, where they synapse with neurons that project to the visual cortex. Here we review the cellular and molecular mechanisms of RGC axonal growth cone guidance across or away from the midline via receptors to cues in the midline environment. We present new views on the specification of ipsi- and contralateral RGC subpopulations and factors implementing their organization in the optic tract and termination in subregions of their targets. Lastly, we describe the functional and behavioral aspects of binocular vision, focusing on the mouse, and discuss recent discoveries in the evolution of the binocular circuit.
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Affiliation(s)
- Eloísa Herrera
- Instituto de Neurociencias (CSIC-UMH), Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Alicante, Spain;
| | - Alain Chédotal
- Université Claude Bernard Lyon 1, MeLiS, CNRS UMR5284, INSERM U1314, Lyon, France
- Institut de Pathologie, Groupe Hospitalier Est, Hospices Civils de Lyon, Lyon, France
- Institut de la Vision, INSERM, Sorbonne Université, Paris, France;
| | - Carol Mason
- Departments of Pathology and Cell Biology, Neuroscience, and Ophthalmology, Zuckerman Institute, Columbia University, New York, NY, USA;
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4
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Do MTH. Pupil constriction by contrast for contrast. Neuron 2024; 112:2261-2262. [PMID: 39024917 DOI: 10.1016/j.neuron.2024.06.008] [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: 06/10/2024] [Revised: 06/11/2024] [Accepted: 06/11/2024] [Indexed: 07/20/2024]
Abstract
The pupil is the eye's adjustable aperture. Fitzpatrick et al. find that visual contrast constricts the pupil, increasing contrast.1 This process improves behavioral performance. Its retinal origin has unorthodox elements, like interneurons that make connections in unusual locales and photoreceptive ganglion cells.
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Affiliation(s)
- Michael Tri H Do
- F.M. Kirby Neurobiology Center and Department of Neurology, Boston Children's Hospital and Harvard Medical School, Center for Life Science 12061, 3 Blackfan Circle, Boston, MA 02115, USA.
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5
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Fitzpatrick MJ, Krizan J, Hsiang JC, Shen N, Kerschensteiner D. A pupillary contrast response in mice and humans: Neural mechanisms and visual functions. Neuron 2024; 112:2404-2422.e9. [PMID: 38697114 PMCID: PMC11257825 DOI: 10.1016/j.neuron.2024.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 12/21/2023] [Accepted: 04/10/2024] [Indexed: 05/04/2024]
Abstract
In the pupillary light response (PLR), increases in ambient light constrict the pupil to dampen increases in retinal illuminance. Here, we report that the pupillary reflex arc implements a second input-output transformation; it senses temporal contrast to enhance spatial contrast in the retinal image and increase visual acuity. The pupillary contrast response (PCoR) is driven by rod photoreceptors via type 6 bipolar cells and M1 ganglion cells. Temporal contrast is transformed into sustained pupil constriction by the M1's conversion of excitatory input into spike output. Computational modeling explains how the PCoR shapes retinal images. Pupil constriction improves acuity in gaze stabilization and predation in mice. Humans exhibit a PCoR with similar tuning properties to mice, which interacts with eye movements to optimize the statistics of the visual input for retinal encoding. Thus, we uncover a conserved component of active vision, its cell-type-specific pathway, computational mechanisms, and optical and behavioral significance.
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Affiliation(s)
- Michael J Fitzpatrick
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Graduate Program in Neuroscience, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Medical Scientist Training Program, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Jenna Krizan
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Graduate Program in Neuroscience, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Jen-Chun Hsiang
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Ning Shen
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Daniel Kerschensteiner
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Neuroscience, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.
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6
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Masterson SP, Govindaiah G, Guido W, Bickford ME. Cell-type specific binocular interactions in mouse visual thalamus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.12.603141. [PMID: 39071360 PMCID: PMC11275773 DOI: 10.1101/2024.07.12.603141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Projections from each eye are segregated in separate domains within the dorsal lateral geniculate nucleus (dLGN). Yet, in vivo studies indicate that the activity of single dLGN neurons can be influenced by visual stimuli presented to either eye. In this study we explored whether intrinsic circuits mediate binocular interactions in the mouse dLGN. We employed dual color optogenetics in vitro to selectively activate input from each eye and recorded synaptic responses in thalamocortical (relay) cells as well as inhibitory interneurons, which have extensive dendritic arbors that are not confined to eye specific domains. While most relay cells received monocular retinal input, most interneurons received binocular retinal input; consequently, the majority of dLGN relay cells received binocular retinogeniculate-evoked inhibition. Moreover, in recordings from adjacent pairs of relay cells and interneurons, the most common relationship observed was binocular excitation of interneurons paired with binocular inhibition of adjacent relay cells. Finally, we found that dLGN interneurons are interconnected, displaying both monocular and binocular inhibition in response to retinal activation. In sum, our results indicate that geniculate interneurons provide one of the first locations where signals from the two eyes can be compared, integrated, and adjusted before being transmitted to cortex, shedding new light on the role of the thalamus in binocular vision. Highlights In vitro dual color optogenetics examined convergence of eye-specific retinal inputs to thalamocortical (relay) cells and interneurons in the dLGNThe majority of relay cells receive monocular excitatory retinogeniculate input while the majority of interneurons receive binocular inputBinocular relay cells are located in and around the ipsilateral patch whereas binocular interneurons are distributed throughout the dLGNThe majority of relay cells receive binocular retinogeniculate-evoked inhibitiondLGN interneurons are interconnected, receiving both monocular and binocular retinogeniculate-evoked inhibition.
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7
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Skyberg RJ, Niell CM. Natural visual behavior and active sensing in the mouse. Curr Opin Neurobiol 2024; 86:102882. [PMID: 38704868 PMCID: PMC11254345 DOI: 10.1016/j.conb.2024.102882] [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: 10/28/2023] [Revised: 04/05/2024] [Accepted: 04/10/2024] [Indexed: 05/07/2024]
Abstract
In the natural world, animals use vision for a wide variety of behaviors not reflected in most laboratory paradigms. Although mice have low-acuity vision, they use their vision for many natural behaviors, including predator avoidance, prey capture, and navigation. They also perform active sensing, moving their head and eyes to achieve behavioral goals and acquire visual information. These aspects of natural vision result in visual inputs and corresponding behavioral outputs that are outside the range of conventional vision studies but are essential aspects of visual function. Here, we review recent studies in mice that have tapped into natural behavior and active sensing to reveal the computational logic of neural circuits for vision.
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Affiliation(s)
- Rolf J Skyberg
- Department of Biology and Institute of Neuroscience, University of Oregon, Eugene OR 97403, USA. https://twitter.com/SkybergRolf
| | - Cristopher M Niell
- Department of Biology and Institute of Neuroscience, University of Oregon, Eugene OR 97403, USA.
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8
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Baden T. The vertebrate retina: a window into the evolution of computation in the brain. Curr Opin Behav Sci 2024; 57:None. [PMID: 38899158 PMCID: PMC11183302 DOI: 10.1016/j.cobeha.2024.101391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 03/14/2024] [Accepted: 03/24/2024] [Indexed: 06/21/2024]
Abstract
Animal brains are probably the most complex computational machines on our planet, and like everything in biology, they are the product of evolution. Advances in developmental and palaeobiology have been expanding our general understanding of how nervous systems can change at a molecular and structural level. However, how these changes translate into altered function - that is, into 'computation' - remains comparatively sparsely explored. What, concretely, does it mean for neuronal computation when neurons change their morphology and connectivity, when new neurons appear or old ones disappear, or when transmitter systems are slowly modified over many generations? And how does evolution use these many possible knobs and dials to constantly tune computation to give rise to the amazing diversity in animal behaviours we see today? Addressing these major gaps of understanding benefits from choosing a suitable model system. Here, I present the vertebrate retina as one perhaps unusually promising candidate. The retina is ancient and displays highly conserved core organisational principles across the entire vertebrate lineage, alongside a myriad of adjustments across extant species that were shaped by the history of their visual ecology. Moreover, the computational logic of the retina is readily interrogated experimentally, and our existing understanding of retinal circuits in a handful of species can serve as an anchor when exploring the visual circuit adaptations across the entire vertebrate tree of life, from fish deep in the aphotic zone of the oceans to eagles soaring high up in the sky.
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9
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Ambrad Giovannetti E, Rancz E. Behind mouse eyes: The function and control of eye movements in mice. Neurosci Biobehav Rev 2024; 161:105671. [PMID: 38604571 DOI: 10.1016/j.neubiorev.2024.105671] [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: 10/17/2023] [Revised: 03/12/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
The mouse visual system has become the most popular model to study the cellular and circuit mechanisms of sensory processing. However, the importance of eye movements only started to be appreciated recently. Eye movements provide a basis for predictive sensing and deliver insights into various brain functions and dysfunctions. A plethora of knowledge on the central control of eye movements and their role in perception and behaviour arose from work on primates. However, an overview of various eye movements in mice and a comparison to primates is missing. Here, we review the eye movement types described to date in mice and compare them to those observed in primates. We discuss the central neuronal mechanisms for their generation and control. Furthermore, we review the mounting literature on eye movements in mice during head-fixed and freely moving behaviours. Finally, we highlight gaps in our understanding and suggest future directions for research.
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Affiliation(s)
| | - Ede Rancz
- INMED, INSERM, Aix-Marseille University, Marseille, France.
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10
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de Malmazet D, Kühn NK, Li C, Farrow K. Retinal origin of orientation but not direction selective maps in the superior colliculus. Curr Biol 2024; 34:1222-1233.e7. [PMID: 38417446 PMCID: PMC10980837 DOI: 10.1016/j.cub.2024.02.001] [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: 08/18/2023] [Revised: 12/19/2023] [Accepted: 02/01/2024] [Indexed: 03/01/2024]
Abstract
Neurons in the mouse superior colliculus ("colliculus") are arranged in ordered spatial maps. While orientation-selective (OS) neurons form a concentric map aligned to the center of vision, direction-selective (DS) neurons are arranged in patches with changing preferences across the visual field. It remains unclear whether these maps are a consequence of feedforward input from the retina or local computations in the colliculus. To determine whether these maps originate in the retina, we mapped the local and global distribution of OS and DS retinal ganglion cell axon boutons using in vivo two-photon calcium imaging. We found that OS boutons formed patches that matched the distribution of OS neurons within the colliculus. DS boutons displayed fewer regional specializations, better reflecting the organization of DS neurons in the retina. Both eyes convey similar orientation but different DS inputs to the colliculus, as shown in recordings from retinal explants. These data demonstrate that orientation and direction maps within the colliculus are independent, where orientation maps are likely inherited from the retina, but direction maps require additional computations.
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Affiliation(s)
- Daniel de Malmazet
- Neuro-Electronics Research Flanders, Leuven 3001, Belgium; KU Leuven, Department of Biology & Leuven Brain Institute, Leuven 3000, Belgium; MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, UK
| | - Norma K Kühn
- Neuro-Electronics Research Flanders, Leuven 3001, Belgium; KU Leuven, Department of Biology & Leuven Brain Institute, Leuven 3000, Belgium; VIB, Leuven 3001, Belgium
| | - Chen Li
- Neuro-Electronics Research Flanders, Leuven 3001, Belgium; KU Leuven, Department of Biology & Leuven Brain Institute, Leuven 3000, Belgium
| | - Karl Farrow
- Neuro-Electronics Research Flanders, Leuven 3001, Belgium; KU Leuven, Department of Biology & Leuven Brain Institute, Leuven 3000, Belgium; VIB, Leuven 3001, Belgium; imec, Leuven 3001, Belgium.
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11
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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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12
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Su J, Byer L, Liang Y, Fox MA. Distribution, development, and identity of retinal ganglion cells labeled in the Sert-Cre reporter mouse. J Comp Neurol 2024; 532:e25606. [PMID: 38544361 DOI: 10.1002/cne.25606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 02/19/2024] [Accepted: 03/07/2024] [Indexed: 05/01/2024]
Abstract
The mouse retina contains over 40 types of retinal ganglion cells (RGCs) that differ in morphology, function, or gene expression. RGCs also differ by whether their axons target the brain.s ipsilateral or contralateral hemisphere. Contralaterally projecting RGCs (contraRGCs) are widespread in mouse retina, whereas ipsilateral projecting RGCs (ipsiRGCs) are confined to the ventro-temporal (VT) crescent of retina. In this study, we employed the Sert-Cre transgenic line, which had been reported to selectively label ipsiRGCs, to study ipsiRGCs during development. Although the number of Cre-expressing ipsiRGCs did not significantly increase with postnatal age, the region of retina that they occupied did, and by adulthood represented ~30% of the retinal surface. Unexpectedly, genetic ablation of Sert-Cre cells failed to fully disrupt ipsilateral projecting retinal axons, suggesting that not all ipsiRGCs generated Cre in Sert-Cre mice. To test this hypothesis, we retrogradely labeled ipsiRGCs in Sert-Cre mice which revealed that not all ipsiRGCs are labeled in Sert-Cre mice and a small population of contraRGCs flanking the VT crescent generates Cre in this line. These results do not negate the usefulness of the Sert-Cre mouse but do raise important caveats to the interpretation of such studies.
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Affiliation(s)
- Jianmin Su
- Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, Virginia, USA
- School of Neuroscience, College of Science, Virginia Tech, Blacksburg, Virginia, USA
| | - Lillian Byer
- Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, Virginia, USA
- Department of Neuroscience, Davidson College, Davidson, North Carolina, USA
- NeuroSURF Program, Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, Virginia, USA
| | - Yanping Liang
- Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, Virginia, USA
| | - Michael A Fox
- Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, Virginia, USA
- School of Neuroscience, College of Science, Virginia Tech, Blacksburg, Virginia, USA
- Department of Biological Sciences, College of Science, Virginia Tech, Blacksburg, Virginia, USA
- Department of Biology, College of Natural Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA
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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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Samonds JM, Szinte M, Barr C, Montagnini A, Masson GS, Priebe NJ. Mammals Achieve Common Neural Coverage of Visual Scenes Using Distinct Sampling Behaviors. eNeuro 2024; 11:ENEURO.0287-23.2023. [PMID: 38164577 PMCID: PMC10860624 DOI: 10.1523/eneuro.0287-23.2023] [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: 10/24/2023] [Accepted: 10/30/2023] [Indexed: 01/03/2024] Open
Abstract
Most vertebrates use head and eye movements to quickly change gaze orientation and sample different portions of the environment with periods of stable fixation. Visual information must be integrated across fixations to construct a complete perspective of the visual environment. In concert with this sampling strategy, neurons adapt to unchanging input to conserve energy and ensure that only novel information from each fixation is processed. We demonstrate how adaptation recovery times and saccade properties interact and thus shape spatiotemporal tradeoffs observed in the motor and visual systems of mice, cats, marmosets, macaques, and humans. These tradeoffs predict that in order to achieve similar visual coverage over time, animals with smaller receptive field sizes require faster saccade rates. Indeed, we find comparable sampling of the visual environment by neuronal populations across mammals when integrating measurements of saccadic behavior with receptive field sizes and V1 neuronal density. We propose that these mammals share a common statistically driven strategy of maintaining coverage of their visual environment over time calibrated to their respective visual system characteristics.
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Affiliation(s)
- Jason M Samonds
- Center for Learning and Memory and the Institute for Neuroscience, The University of Texas at Austin, Austin 78712, Texas
| | - Martin Szinte
- Institut de Neurosciences de la Timone (UMR 7289), Centre National de la Recherche Scientifique and Aix-Marseille Université, 13385 Marseille, France
| | - Carrie Barr
- Center for Learning and Memory and the Institute for Neuroscience, The University of Texas at Austin, Austin 78712, Texas
| | - Anna Montagnini
- Institut de Neurosciences de la Timone (UMR 7289), Centre National de la Recherche Scientifique and Aix-Marseille Université, 13385 Marseille, France
| | - Guillaume S Masson
- Institut de Neurosciences de la Timone (UMR 7289), Centre National de la Recherche Scientifique and Aix-Marseille Université, 13385 Marseille, France
| | - Nicholas J Priebe
- Center for Learning and Memory and the Institute for Neuroscience, The University of Texas at Austin, Austin 78712, Texas
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15
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Hu G, Chen A, Ye J, Liu Q, Wang J, Fan C, Wang X, Huang M, Dai M, Shi X, Gu Y. A developmental critical period for ocular dominance plasticity of binocular neurons in mouse superior colliculus. Cell Rep 2024; 43:113667. [PMID: 38184852 DOI: 10.1016/j.celrep.2023.113667] [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: 05/11/2023] [Revised: 09/29/2023] [Accepted: 12/25/2023] [Indexed: 01/09/2024] Open
Abstract
Detecting visual features in the environment is crucial for animals' survival. The superior colliculus (SC) is implicated in motion detection and processing, whereas how the SC integrates visual inputs from the two eyes remains unclear. Using in vivo electrophysiology, we show that mouse SC contains many binocular neurons that display robust ocular dominance (OD) plasticity in a critical period during early development, which is similar to, but not dependent on, the primary visual cortex. NR2A- and NR2B-containing N-methyl-D-aspartate (NMDA) receptors play an essential role in the regulation of SC plasticity. Blocking NMDA receptors can largely prevent the impairment of predatory hunting caused by monocular deprivation, indicating that maintaining the binocularity of SC neurons is required for efficient hunting behavior. Together, our studies reveal the existence and function of OD plasticity in SC, which broadens our understanding of the development of subcortical visual circuitry relating to motion detection and predatory hunting.
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Affiliation(s)
- Guanglei Hu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China; School of Life Sciences, Westlake University, Hangzhou 310000, China
| | - Ailin Chen
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin Eye Institute, Clinical College of Ophthalmology, Tianjin Medical University, Tianjin 300020, China
| | - Jingjing Ye
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin Eye Institute, Clinical College of Ophthalmology, Tianjin Medical University, Tianjin 300020, China; Medical College of Optometry and Ophthalmology, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Qiong Liu
- School of Life Sciences, Westlake University, Hangzhou 310000, China
| | - Jiafeng Wang
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin Eye Institute, Clinical College of Ophthalmology, Tianjin Medical University, Tianjin 300020, China
| | - Cunxiu Fan
- Jiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 800 Huangjiahuayuan Road, Shanghai 201803, China
| | - Xiaoqing Wang
- Department of Dermatology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Mengqi Huang
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Menghan Dai
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Xuefeng Shi
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin Eye Institute, Clinical College of Ophthalmology, Tianjin Medical University, Tianjin 300020, China; Medical College of Optometry and Ophthalmology, Shandong University of Traditional Chinese Medicine, Jinan 250014, China; Institute of Ophthalmology, Nankai University, Tianjin 300020, China.
| | - Yu Gu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China.
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16
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Swygart D, Yu WQ, Takeuchi S, Wong ROL, Schwartz GW. A presynaptic source drives differing levels of surround suppression in two mouse retinal ganglion cell types. Nat Commun 2024; 15:599. [PMID: 38238324 PMCID: PMC10796971 DOI: 10.1038/s41467-024-44851-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 01/05/2024] [Indexed: 01/22/2024] Open
Abstract
In early sensory systems, cell-type diversity generally increases from the periphery into the brain, resulting in a greater heterogeneity of responses to the same stimuli. Surround suppression is a canonical visual computation that begins within the retina and is found at varying levels across retinal ganglion cell types. Our results show that heterogeneity in the level of surround suppression occurs subcellularly at bipolar cell synapses. Using single-cell electrophysiology and serial block-face scanning electron microscopy, we show that two retinal ganglion cell types exhibit very different levels of surround suppression even though they receive input from the same bipolar cell types. This divergence of the bipolar cell signal occurs through synapse-specific regulation by amacrine cells at the scale of tens of microns. These findings indicate that each synapse of a single bipolar cell can carry a unique visual signal, expanding the number of possible functional channels at the earliest stages of visual processing.
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Affiliation(s)
- David Swygart
- Northwestern University Interdepartmental Neuroscience Program, Chicago, IL, USA
| | - Wan-Qing Yu
- Department of Biological Structure, University of Washington, Seattle, WA, USA
| | - Shunsuke Takeuchi
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
| | - Rachel O L Wong
- Department of Biological Structure, University of Washington, Seattle, WA, USA
| | - Gregory W Schwartz
- Northwestern University Interdepartmental Neuroscience Program, Chicago, IL, USA.
- Departments of Ophthalmology and Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
- Department of Neurobiology, Weinberg College of Arts and Sciences, Northwestern University, Chicago, IL, USA.
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17
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Mai J, Gargiullo R, Zheng M, Esho V, Hussein OE, Pollay E, Bowe C, Williamson LM, McElroy AF, Goolsby WN, Brooks KA, Rodgers CC. Sound-seeking before and after hearing loss in mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.08.574475. [PMID: 38260458 PMCID: PMC10802496 DOI: 10.1101/2024.01.08.574475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
How we move our bodies affects how we perceive sound. For instance, we can explore an environment to seek out the source of a sound and we can use head movements to compensate for hearing loss. How we do this is not well understood because many auditory experiments are designed to limit head and body movements. To study the role of movement in hearing, we developed a behavioral task called sound-seeking that rewarded mice for tracking down an ongoing sound source. Over the course of learning, mice more efficiently navigated to the sound. We then asked how auditory behavior was affected by hearing loss induced by surgical removal of the malleus from the middle ear. An innate behavior, the auditory startle response, was abolished by bilateral hearing loss and unaffected by unilateral hearing loss. Similarly, performance on the sound-seeking task drastically declined after bilateral hearing loss and did not recover. In striking contrast, mice with unilateral hearing loss were only transiently impaired on sound-seeking; over a recovery period of about a week, they regained high levels of performance, increasingly reliant on a different spatial sampling strategy. Thus, even in the face of permanent unilateral damage to the peripheral auditory system, mice recover their ability to perform a naturalistic sound-seeking task. This paradigm provides an opportunity to examine how body movement enables better hearing and resilient adaptation to sensory deprivation.
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Affiliation(s)
- Jessica Mai
- Department of Neurosurgery, Emory University School of Medicine, Atlanta GA 30322
| | - Rowan Gargiullo
- Department of Neurosurgery, Emory University School of Medicine, Atlanta GA 30322
| | - Megan Zheng
- Department of Neurosurgery, Emory University School of Medicine, Atlanta GA 30322
| | - Valentina Esho
- Department of Neurosurgery, Emory University School of Medicine, Atlanta GA 30322
| | - Osama E Hussein
- Department of Neurosurgery, Emory University School of Medicine, Atlanta GA 30322
| | - Eliana Pollay
- Department of Neurosurgery, Emory University School of Medicine, Atlanta GA 30322
| | - Cedric Bowe
- Neuroscience Graduate Program, Emory University, Atlanta GA 30322
| | | | | | - William N Goolsby
- Department of Cell Biology, Emory University School of Medicine, Atlanta GA 30322
| | - Kaitlyn A Brooks
- Department of Otolaryngology - Head and Neck Surgery, Emory University School of Medicine, Atlanta GA 30308
| | - Chris C Rodgers
- Department of Neurosurgery, Emory University School of Medicine, Atlanta GA 30322
- Department of Cell Biology, Emory University School of Medicine, Atlanta GA 30322
- Department of Biomedical Engineering, Georgia Tech and Emory University School of Medicine, Atlanta GA 30322
- Department of Biology, Emory College of Arts and Sciences, Atlanta GA 30322
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18
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Pinke D, Issa JB, Dara GA, Dobos G, Dombeck DA. Full field-of-view virtual reality goggles for mice. Neuron 2023; 111:3941-3952.e6. [PMID: 38070501 PMCID: PMC10841834 DOI: 10.1016/j.neuron.2023.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 10/03/2023] [Accepted: 11/15/2023] [Indexed: 12/23/2023]
Abstract
Visual virtual reality (VR) systems for head-fixed mice offer advantages over real-world studies for investigating the neural circuitry underlying behavior. However, current VR approaches do not fully cover the visual field of view of mice, do not stereoscopically illuminate the binocular zone, and leave the lab frame visible. To overcome these limitations, we developed iMRSIV (Miniature Rodent Stereo Illumination VR)-VR goggles for mice. Our system is compact, separately illuminates each eye for stereo vision, and provides each eye with an ∼180° field of view, thus excluding the lab frame while accommodating saccades. Mice using iMRSIV while navigating engaged in virtual behaviors more quickly than in a current monitor-based system and displayed freezing and fleeing reactions to overhead looming stimulation. Using iMRSIV with two-photon functional imaging, we found large populations of hippocampal place cells during virtual navigation, global remapping during environment changes, and unique responses of place cell ensembles to overhead looming stimulation.
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Affiliation(s)
- Domonkos Pinke
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA
| | - John B Issa
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA
| | - Gabriel A Dara
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA
| | - Gergely Dobos
- 360world Ltd, Sümegvár köz 9, 1118 Budapest, Hungary
| | - Daniel A Dombeck
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA.
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19
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Hahn J, Monavarfeshani A, Qiao M, Kao AH, Kölsch Y, Kumar A, Kunze VP, Rasys AM, Richardson R, Wekselblatt JB, Baier H, Lucas RJ, Li W, Meister M, Trachtenberg JT, Yan W, Peng YR, Sanes JR, Shekhar K. Evolution of neuronal cell classes and types in the vertebrate retina. Nature 2023; 624:415-424. [PMID: 38092908 PMCID: PMC10719112 DOI: 10.1038/s41586-023-06638-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 09/13/2023] [Indexed: 12/17/2023]
Abstract
The basic plan of the retina is conserved across vertebrates, yet species differ profoundly in their visual needs1. Retinal cell types may have evolved to accommodate these varied needs, but this has not been systematically studied. Here we generated and integrated single-cell transcriptomic atlases of the retina from 17 species: humans, two non-human primates, four rodents, three ungulates, opossum, ferret, tree shrew, a bird, a reptile, a teleost fish and a lamprey. We found high molecular conservation of the six retinal cell classes (photoreceptors, horizontal cells, bipolar cells, amacrine cells, retinal ganglion cells (RGCs) and Müller glia), with transcriptomic variation across species related to evolutionary distance. Major subclasses were also conserved, whereas variation among cell types within classes or subclasses was more pronounced. However, an integrative analysis revealed that numerous cell types are shared across species, based on conserved gene expression programmes that are likely to trace back to an early ancestral vertebrate. The degree of variation among cell types increased from the outer retina (photoreceptors) to the inner retina (RGCs), suggesting that evolution acts preferentially to shape the retinal output. Finally, we identified rodent orthologues of midget RGCs, which comprise more than 80% of RGCs in the human retina, subserve high-acuity vision, and were previously believed to be restricted to primates2. By contrast, the mouse orthologues have large receptive fields and comprise around 2% of mouse RGCs. Projections of both primate and mouse orthologous types are overrepresented in the thalamus, which supplies the primary visual cortex. We suggest that midget RGCs are not primate innovations, but are descendants of evolutionarily ancient types that decreased in size and increased in number as primates evolved, thereby facilitating high visual acuity and increased cortical processing of visual information.
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Affiliation(s)
- Joshua Hahn
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA
| | - Aboozar Monavarfeshani
- Department of Cellular and Molecular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Mu Qiao
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- LinkedIn, Mountain View, CA, USA
| | - Allison H Kao
- Department of Cellular and Molecular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Yvonne Kölsch
- Max Planck Institute for Biological Intelligence, Martinsried, Germany
| | - Ayush Kumar
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA
| | - Vincent P Kunze
- Retinal Neurophysiology Section, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ashley M Rasys
- Department of Cellular Biology, University of Georgia, Athens, GA, USA
| | - Rose Richardson
- Division of Neuroscience and Centre for Biological Timing, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Joseph B Wekselblatt
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Herwig Baier
- Max Planck Institute for Biological Intelligence, Martinsried, Germany
| | - Robert J Lucas
- Division of Neuroscience and Centre for Biological Timing, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Wei Li
- Retinal Neurophysiology Section, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
| | - Markus Meister
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Joshua T Trachtenberg
- Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Wenjun Yan
- Department of Cellular and Molecular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Yi-Rong Peng
- Department of Ophthalmology, Stein Eye Institute, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Joshua R Sanes
- Department of Cellular and Molecular Biology, Center for Brain Science, Harvard University, Cambridge, MA, USA.
| | - Karthik Shekhar
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA, USA.
- Helen Wills Neuroscience Institute,Vision Science Graduate Group, University of California, Berkeley, Berkeley, CA, USA.
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- Center for Computational Biology, Biophysics Graduate Group, University of California, Berkeley, Berkeley, CA, USA.
- California Institute of Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA, USA.
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20
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de Malmazet D, Tripodi M. Collicular circuits supporting the perceptual, motor and cognitive demands of ethological environments. Curr Opin Neurobiol 2023; 82:102773. [PMID: 37619424 PMCID: PMC10765087 DOI: 10.1016/j.conb.2023.102773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/27/2023] [Accepted: 07/29/2023] [Indexed: 08/26/2023]
Abstract
Animals evolve to survive in their environment. Accordingly, a reasonable hypothesis is that brain evolution prioritises the processing of useful sensory information over complete representation of the surroundings. The superior colliculus or tectum is a brain area that processes the animal's surroundings and directs movements in space. Here, we review recent studies on the role of the superior colliculus to assess the validity of this "utility hypothesis". We discuss how the response properties of collicular neurons vary across anatomical regions to capture ethologically relevant stimuli at a given portion of the sensory field. Next, we focus on the recent advances dissecting the role of defined types of sensory and motor neurons of the colliculus in prey capture. Finally, we discuss the recent literature describing how this ancient structure, with neural circuits over 500 million years old, implements the necessary degree of cognitive control for flexible sensorimotor transformation.
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Affiliation(s)
| | - Marco Tripodi
- MRC Laboratory of Molecular Biology, Cambridge, UK. https://twitter.com/martripodi
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21
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Chinta S, Pluta SR. Neural mechanisms for the localization of unexpected external motion. Nat Commun 2023; 14:6112. [PMID: 37777516 PMCID: PMC10542789 DOI: 10.1038/s41467-023-41755-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 09/15/2023] [Indexed: 10/02/2023] Open
Abstract
To localize objects during active sensing, animals must differentiate stimuli caused by volitional movement from real-world object motion. To determine a neural basis for this ability, we examined the mouse superior colliculus (SC), which contains multiple egocentric maps of sensorimotor space. By placing mice in a whisker-guided virtual reality, we discovered a rapidly adapting tactile response that transiently emerged during externally generated gains in whisker contact. Responses to self-generated touch that matched self-generated history were significantly attenuated, revealing that transient response magnitude is controlled by sensorimotor predictions. The magnitude of the transient response gradually decreased with repetitions in external motion, revealing a slow habituation based on external history. The direction of external motion was accurately encoded in the firing rates of transiently responsive neurons. These data reveal that whisker-specific adaptation and sensorimotor predictions in SC neurons enhance the localization of unexpected, externally generated changes in tactile space.
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Affiliation(s)
- Suma Chinta
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
- Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA
| | - Scott R Pluta
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
- Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA.
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22
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Lehnert J, Cha K, Halperin J, Yang K, Zheng DF, Khadra A, Cook EP, Krishnaswamy A. Visual attention to features and space in mice using reverse correlation. Curr Biol 2023; 33:3690-3701.e4. [PMID: 37611588 DOI: 10.1016/j.cub.2023.07.060] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 05/17/2023] [Accepted: 07/27/2023] [Indexed: 08/25/2023]
Abstract
Visual attention allows the brain to evoke behaviors based on the most important visual features. Mouse models offer immense potential to gain a circuit-level understanding of this phenomenon, yet how mice distribute attention across features and locations is not well understood. Here, we describe a new approach to address this limitation by training mice to detect weak vertical bars in a background of dynamic noise while spatial cues manipulate their attention. By adapting a reverse-correlation method from human studies, we linked behavioral decisions to stimulus features and locations. We show that mice deployed attention to a small rostral region of the visual field. Within this region, mice attended to multiple features (orientation, spatial frequency, contrast) that indicated the presence of weak vertical bars. This attentional tuning grew with training, multiplicatively scaled behavioral sensitivity, approached that of an ideal observer, and resembled the effects of attention in humans. Taken together, we demonstrate that mice can simultaneously attend to multiple features and locations of a visual stimulus.
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Affiliation(s)
- Jonas Lehnert
- Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada; Quantitative Life Sciences, McGill University, Montreal, QC H3A 1E3, Canada
| | - Kuwook Cha
- Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada
| | - Jamie Halperin
- Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada
| | - Kerry Yang
- Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada
| | - Daniel F Zheng
- Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada
| | - Anmar Khadra
- Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada; Quantitative Life Sciences, McGill University, Montreal, QC H3A 1E3, Canada; Centre for Applied Mathematics in Bioscience and Medicine, McGill University, Montreal, QC H3G 0B1, Canada
| | - Erik P Cook
- Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada; Quantitative Life Sciences, McGill University, Montreal, QC H3A 1E3, Canada; Centre for Applied Mathematics in Bioscience and Medicine, McGill University, Montreal, QC H3G 0B1, Canada.
| | - Arjun Krishnaswamy
- Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada; Quantitative Life Sciences, McGill University, Montreal, QC H3A 1E3, Canada.
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23
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Samonds JM, Szinte M, Barr C, Montagnini A, Masson GS, Priebe NJ. Mammals achieve common neural coverage of visual scenes using distinct sampling behaviors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.20.533210. [PMID: 36993477 PMCID: PMC10055212 DOI: 10.1101/2023.03.20.533210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Most vertebrates use head and eye movements to quickly change gaze orientation and sample different portions of the environment with periods of stable fixation. Visual information must be integrated across several fixations to construct a more complete perspective of the visual environment. In concert with this sampling strategy, neurons adapt to unchanging input to conserve energy and ensure that only novel information from each fixation is processed. We demonstrate how adaptation recovery times and saccade properties interact, and thus shape spatiotemporal tradeoffs observed in the motor and visual systems of different species. These tradeoffs predict that in order to achieve similar visual coverage over time, animals with smaller receptive field sizes require faster saccade rates. Indeed, we find comparable sampling of the visual environment by neuronal populations across mammals when integrating measurements of saccadic behavior with receptive field sizes and V1 neuronal density. We propose that these mammals share a common statistically driven strategy of maintaining coverage of their visual environment over time calibrated to their respective visual system characteristics.
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24
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Saleem AB, Busse L. Interactions between rodent visual and spatial systems during navigation. Nat Rev Neurosci 2023:10.1038/s41583-023-00716-7. [PMID: 37380885 DOI: 10.1038/s41583-023-00716-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2023] [Indexed: 06/30/2023]
Abstract
Many behaviours that are critical for animals to survive and thrive rely on spatial navigation. Spatial navigation, in turn, relies on internal representations about one's spatial location, one's orientation or heading direction and the distance to objects in the environment. Although the importance of vision in guiding such internal representations has long been recognized, emerging evidence suggests that spatial signals can also modulate neural responses in the central visual pathway. Here, we review the bidirectional influences between visual and navigational signals in the rodent brain. Specifically, we discuss reciprocal interactions between vision and the internal representations of spatial position, explore the effects of vision on representations of an animal's heading direction and vice versa, and examine how the visual and navigational systems work together to assess the relative distances of objects and other features. Throughout, we consider how technological advances and novel ethological paradigms that probe rodent visuo-spatial behaviours allow us to advance our understanding of how brain areas of the central visual pathway and the spatial systems interact and enable complex behaviours.
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Affiliation(s)
- Aman B Saleem
- UCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, UK.
| | - Laura Busse
- Division of Neuroscience, Faculty of Biology, LMU Munich, Munich, Germany.
- Bernstein Centre for Computational Neuroscience Munich, Munich, Germany.
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25
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Whyland KL, Masterson SP, Slusarczyk AS, Bickford ME. Synaptic properties of mouse tecto-parabigeminal pathways. Front Syst Neurosci 2023; 17:1181052. [PMID: 37251004 PMCID: PMC10213440 DOI: 10.3389/fnsys.2023.1181052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/28/2023] [Indexed: 05/31/2023] Open
Abstract
The superior colliculus (SC) is a critical hub for the generation of visually-evoked orienting and defensive behaviors. Among the SC's myriad downstream targets is the parabigeminal nucleus (PBG), the mammalian homolog of the nucleus isthmi, which has been implicated in motion processing and the production of defensive behaviors. The inputs to the PBG are thought to arise exclusively from the SC but little is known regarding the precise synaptic relationships linking the SC to the PBG. In the current study, we use optogenetics as well as viral tracing and electron microscopy in mice to better characterize the anatomical and functional properties of the SC-PBG circuit, as well as the morphological and ultrastructural characteristics of neurons residing in the PBG. We characterized GABAergic SC-PBG projections (that do not contain parvalbumin) and glutamatergic SC-PBG projections (which include neurons that contain parvalbumin). These two terminal populations were found to converge on different morphological populations of PBG neurons and elicit opposing postsynaptic effects. Additionally, we identified a population of non-tectal GABAergic terminals in the PBG that partially arise from neurons in the surrounding tegmentum, as well as several organizing principles that divide the nucleus into anatomically distinct regions and preserve a coarse retinotopy inherited from its SC-derived inputs. These studies provide an essential first step toward understanding how PBG circuits contribute to the initiation of behavior in response to visual signals.
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Affiliation(s)
| | | | | | - Martha E. Bickford
- Department of Anatomical Sciences and Neurobiology, School of Medicine, University of Louisville, Louisville, KY, United States
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26
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Zhao ZD, Zhang L, Xiang X, Kim D, Li H, Cao P, Shen WL. Neurocircuitry of Predatory Hunting. Neurosci Bull 2023; 39:817-831. [PMID: 36705845 PMCID: PMC10170020 DOI: 10.1007/s12264-022-01018-1] [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: 08/26/2022] [Accepted: 11/26/2022] [Indexed: 01/28/2023] Open
Abstract
Predatory hunting is an important type of innate behavior evolutionarily conserved across the animal kingdom. It is typically composed of a set of sequential actions, including prey search, pursuit, attack, and consumption. This behavior is subject to control by the nervous system. Early studies used toads as a model to probe the neuroethology of hunting, which led to the proposal of a sensory-triggered release mechanism for hunting actions. More recent studies have used genetically-trackable zebrafish and rodents and have made breakthrough discoveries in the neuroethology and neurocircuits underlying this behavior. Here, we review the sophisticated neurocircuitry involved in hunting and summarize the detailed mechanism for the circuitry to encode various aspects of hunting neuroethology, including sensory processing, sensorimotor transformation, motivation, and sequential encoding of hunting actions. We also discuss the overlapping brain circuits for hunting and feeding and point out the limitations of current studies. We propose that hunting is an ideal behavioral paradigm in which to study the neuroethology of motivated behaviors, which may shed new light on epidemic disorders, including binge-eating, obesity, and obsessive-compulsive disorders.
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Affiliation(s)
- Zheng-Dong Zhao
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
- Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Li Zhang
- National Institute of Biological Sciences (NIBS), Beijing, 102206, China
| | - Xinkuan Xiang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Daesoo Kim
- Department of Cognitive Brain Science, Korea Advanced Institute of Science & Technology, Daejeon, 34141, South Korea.
| | - Haohong Li
- MOE Frontier Research Center of Brain & Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, 310058, China.
- Affiliated Mental Health Centre and Hangzhou Seventh People`s Hospital, Zhejiang University School of Medicine, Hangzhou, 310013, China.
| | - Peng Cao
- National Institute of Biological Sciences (NIBS), Beijing, 102206, China.
| | - Wei L Shen
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
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27
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Hahn J, Monavarfeshani A, Qiao M, Kao A, Kölsch Y, Kumar A, Kunze VP, Rasys AM, Richardson R, Baier H, Lucas RJ, Li W, Meister M, Trachtenberg JT, Yan W, Peng YR, Sanes JR, Shekhar K. Evolution of neuronal cell classes and types in the vertebrate retina. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.07.536039. [PMID: 37066415 PMCID: PMC10104162 DOI: 10.1101/2023.04.07.536039] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
The basic plan of the retina is conserved across vertebrates, yet species differ profoundly in their visual needs (Baden et al., 2020). One might expect that retinal cell types evolved to accommodate these varied needs, but this has not been systematically studied. Here, we generated and integrated single-cell transcriptomic atlases of the retina from 17 species: humans, two non-human primates, four rodents, three ungulates, opossum, ferret, tree shrew, a teleost fish, a bird, a reptile and a lamprey. Molecular conservation of the six retinal cell classes (photoreceptors, horizontal cells, bipolar cells, amacrine cells, retinal ganglion cells [RGCs] and Muller glia) is striking, with transcriptomic differences across species correlated with evolutionary distance. Major subclasses are also conserved, whereas variation among types within classes or subclasses is more pronounced. However, an integrative analysis revealed that numerous types are shared across species based on conserved gene expression programs that likely trace back to the common ancestor of jawed vertebrates. The degree of variation among types increases from the outer retina (photoreceptors) to the inner retina (RGCs), suggesting that evolution acts preferentially to shape the retinal output. Finally, we identified mammalian orthologs of midget RGCs, which comprise >80% of RGCs in the human retina, subserve high-acuity vision, and were believed to be primate-specific (Berson, 2008); in contrast, the mouse orthologs comprise <2% of mouse RGCs. Projections both primate and mouse orthologous types are overrepresented in the thalamus, which supplies the primary visual cortex. We suggest that midget RGCs are not primate innovations, but descendants of evolutionarily ancient types that decreased in size and increased in number as primates evolved, thereby facilitating high visual acuity and increased cortical processing of visual information.
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Affiliation(s)
- Joshua Hahn
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Aboozar Monavarfeshani
- Department of Cellular and Molecular Biology, Center for Brain Science, Harvard University, MA 02138, USA
| | - Mu Qiao
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Allison Kao
- Department of Cellular and Molecular Biology, Center for Brain Science, Harvard University, MA 02138, USA
| | - Yvonne Kölsch
- Max Planck Institute for Biological Intelligence, Am Klopferspitz 18, 82152 Martinsried, Germany
| | - Ayush Kumar
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Vincent P Kunze
- Retinal Neurophysiology Section, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ashley M. Rasys
- Department of Cellular Biology, University of Georgia, Athens, GA 30602
| | - Rose Richardson
- Division of Neuroscience and Centre for Biological Timing, Faculty of Biology Medicine & Health, University of Manchester, Upper Brook Street, Manchester M13 9PT, UK
| | - Herwig Baier
- Max Planck Institute for Biological Intelligence, Am Klopferspitz 18, 82152 Martinsried, Germany
| | - Robert J. Lucas
- Division of Neuroscience and Centre for Biological Timing, Faculty of Biology Medicine & Health, University of Manchester, Upper Brook Street, Manchester M13 9PT, UK
| | - Wei Li
- Retinal Neurophysiology Section, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Markus Meister
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Joshua T. Trachtenberg
- Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
| | - Wenjun Yan
- Department of Cellular and Molecular Biology, Center for Brain Science, Harvard University, MA 02138, USA
| | - Yi-Rong Peng
- Department of Ophthalmology, Stein Eye Institute, UCLA David Geffen School of Medicine, Los Angeles, CA 90095 United States
| | - Joshua R. Sanes
- Department of Cellular and Molecular Biology, Center for Brain Science, Harvard University, MA 02138, USA
| | - Karthik Shekhar
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
- Helen Wills Neuroscience Institute, Vision Science Graduate Group, Center for Computational Biology, Biophysics Graduate Group, California Institute of Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley CA 94720, USA
- Faculty Scientist, Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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28
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Read JCA. Stereopsis without correspondence. Philos Trans R Soc Lond B Biol Sci 2023; 378:20210449. [PMID: 36511401 PMCID: PMC9745876 DOI: 10.1098/rstb.2021.0449] [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] [Indexed: 12/15/2022] Open
Abstract
Stereopsis has traditionally been considered a complex visual ability, restricted to large-brained animals. The discovery in the 1980s that insects, too, have stereopsis, therefore, challenged theories of stereopsis. How can such simple brains see in three dimensions? A likely answer is that insect stereopsis has evolved to produce simple behaviour, such as orienting towards the closer of two objects or triggering a strike when prey comes within range. Scientific thinking about stereopsis has been unduly anthropomorphic, for example assuming that stereopsis must require binocular fusion or a solution of the stereo correspondence problem. In fact, useful behaviour can be produced with very basic stereoscopic algorithms which make no attempt to achieve fusion or correspondence, or to produce even a coarse map of depth across the visual field. This may explain why some aspects of insect stereopsis seem poorly designed from an engineering point of view: for example, paying no attention to whether interocular contrast or velocities match. Such algorithms demonstrably work well enough in practice for their species, and may prove useful in particular autonomous applications. This article is part of a discussion meeting issue 'New approaches to 3D vision'.
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Affiliation(s)
- Jenny C. A. Read
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, Tyne and Wear UNE2 4HH, UK
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29
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Slavi N, Balasubramanian R, Lee MA, Liapin M, Oaks-Leaf R, Peregrin J, Potenski A, Troy CM, Ross ME, Herrera E, Kosmidis S, John SWM, Mason CA. CyclinD2-mediated regulation of neurogenic output from the retinal ciliary margin is perturbed in albinism. Neuron 2023; 111:49-64.e5. [PMID: 36351424 PMCID: PMC9822872 DOI: 10.1016/j.neuron.2022.10.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 09/28/2022] [Accepted: 10/10/2022] [Indexed: 11/09/2022]
Abstract
In albinism, aberrations in the ipsi-/contralateral retinal ganglion cell (RGC) ratio compromise the functional integrity of the binocular circuit. Here, we focus on the mouse ciliary margin zone (CMZ), a neurogenic niche at the embryonic peripheral retina, to investigate developmental processes regulating RGC neurogenesis and identity acquisition. We found that the mouse ventral CMZ generates predominantly ipsilaterally projecting RGCs, but this output is altered in the albino visual system because of CyclinD2 downregulation and disturbed timing of the cell cycle. Consequently, albino as well as CyclinD2-deficient pigmented mice exhibit diminished ipsilateral retinogeniculate projection and poor depth perception. In albino mice, pharmacological stimulation of calcium channels, known to upregulate CyclinD2 in other cell types, augmented CyclinD2-dependent neurogenesis of ipsilateral RGCs and improved stereopsis. Together, these results implicate CMZ neurogenesis and its regulators as critical for the formation and function of the mammalian binocular circuit.
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Affiliation(s)
- Nefeli Slavi
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
| | - Revathi Balasubramanian
- Department of Ophthalmology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Melissa Ann Lee
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
| | - Michael Liapin
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
| | - Rachel Oaks-Leaf
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
| | - John Peregrin
- Department of Ophthalmology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Anna Potenski
- Department of Molecular Pharmacology and Therapeutics, Columbia University, College of Physicians and Surgeons, New York, NY, USA
| | - Carol Marie Troy
- Department of Pathology and Cell Biology, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA; The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Margaret Elizabeth Ross
- Center for Neurogenetics, Feil Family Brain & Mind Research Institute, Weill Cornell Medical College, New York, NY, USA
| | - Eloisa Herrera
- Instituto de Neurociencias (CSIC-UMH), Av. Ramón y Cajal s/n, San Juan de Alicante, Spain
| | - Stylianos Kosmidis
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Howard Hughes Medical Institute, Columbia University, New York, NY, USA
| | - Simon William Maxwell John
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Department of Ophthalmology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Carol Ann Mason
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Department of Neuroscience, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Pathology and Cell Biology, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Ophthalmology, College of Physicians and Surgeons, Columbia University, New York, NY, USA.
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30
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Groves Kuhnle C, Grimes M, Suárez Casanova VM, Turrigiano GG, Van Hooser SD. Juvenile Shank3 KO Mice Adopt Distinct Hunting Strategies during Prey Capture Learning. eNeuro 2022; 9:ENEURO.0230-22.2022. [PMID: 36446569 PMCID: PMC9768843 DOI: 10.1523/eneuro.0230-22.2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/11/2022] [Accepted: 10/23/2022] [Indexed: 12/02/2022] Open
Abstract
Mice are opportunistic omnivores that readily learn to hunt and eat insects such as crickets. The details of how mice learn these behaviors and how these behaviors may differ in strains with altered neuroplasticity are unclear. We quantified the behavior of juvenile wild-type (WT) and Shank3 knock-out (KO) mice as they learned to hunt crickets during the critical period for ocular dominance plasticity. This stage involves heightened cortical plasticity including homeostatic synaptic scaling, which requires Shank3, a glutamatergic synaptic protein that, when mutated, produces Phelan-McDermid syndrome and is often comorbid with autism spectrum disorder (ASD). Both strains showed interest in examining live and dead crickets and learned to hunt. Shank3 knock-out mice took longer to become proficient, and, after 5 d, did not achieve the efficiency of wild-type mice in either time-to-capture or distance-to-capture. Shank3 knock-out mice also exhibited different characteristics when pursuing crickets that could not be explained by a simple motor deficit. Although both genotypes moved at the same average speed when approaching a cricket, Shank3 KO mice paused more often, did not begin final accelerations toward crickets as early, and did not close the distance gap to the cricket as quickly as wild-type mice. These differences in Shank3 KO mice are reminiscent of some behavioral characteristics of individuals with ASD as they perform complex tasks, such as slower action initiation and completion. This paradigm will be useful for exploring the neural circuit mechanisms that underlie these learning and performance differences in monogenic ASD rodent models.
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Affiliation(s)
| | - Micaela Grimes
- Department of Biology, Brandeis University, Waltham, MA 02453
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31
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A binocular perception deficit characterizes prey pursuit in developing mice. iScience 2022; 25:105368. [PMID: 36339264 PMCID: PMC9626674 DOI: 10.1016/j.isci.2022.105368] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 08/04/2022] [Accepted: 10/12/2022] [Indexed: 02/02/2023] Open
Abstract
Integration of binocular information at the cellular level has long been studied in the mouse model to uncover the fundamental developmental mechanisms underlying mammalian vision. However, we lack an understanding of the corresponding ontogeny of visual behavior in mice that relies on binocular integration. To address this major outstanding question, we quantified the natural visually guided behavior of postnatal day 21 (P21) and adult mice using a live prey capture assay and a computerized-spontaneous perception of objects task (C-SPOT). We found a robust and specific binocular visual field processing deficit in P21 mice as compared to adults that corresponded to a selective increase in c-Fos expression in the anterior superior colliculus (SC) of the juveniles after C-SPOT. These data link a specific binocular perception deficit in developing mice to activity changes in the SC.
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32
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Fitzpatrick MJ, Kerschensteiner D. Homeostatic plasticity in the retina. Prog Retin Eye Res 2022; 94:101131. [PMID: 36244950 DOI: 10.1016/j.preteyeres.2022.101131] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/25/2022] [Accepted: 09/28/2022] [Indexed: 02/07/2023]
Abstract
Vision begins in the retina, whose intricate neural circuits extract salient features of the environment from the light entering our eyes. Neurodegenerative diseases of the retina (e.g., inherited retinal degenerations, age-related macular degeneration, and glaucoma) impair vision and cause blindness in a growing number of people worldwide. Increasing evidence indicates that homeostatic plasticity (i.e., the drive of a neural system to stabilize its function) can, in principle, preserve retinal function in the face of major perturbations, including neurodegeneration. Here, we review the circumstances and events that trigger homeostatic plasticity in the retina during development, sensory experience, and disease. We discuss the diverse mechanisms that cooperate to compensate and the set points and outcomes that homeostatic retinal plasticity stabilizes. Finally, we summarize the opportunities and challenges for unlocking the therapeutic potential of homeostatic plasticity. Homeostatic plasticity is fundamental to understanding retinal development and function and could be an important tool in the fight to preserve and restore vision.
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33
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Strauss S, Korympidou MM, Ran Y, Franke K, Schubert T, Baden T, Berens P, Euler T, Vlasits AL. Center-surround interactions underlie bipolar cell motion sensitivity in the mouse retina. Nat Commun 2022; 13:5574. [PMID: 36163124 PMCID: PMC9513071 DOI: 10.1038/s41467-022-32762-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 08/16/2022] [Indexed: 11/09/2022] Open
Abstract
Motion sensing is a critical aspect of vision. We studied the representation of motion in mouse retinal bipolar cells and found that some bipolar cells are radially direction selective, preferring the origin of small object motion trajectories. Using a glutamate sensor, we directly observed bipolar cells synaptic output and found that there are radial direction selective and non-selective bipolar cell types, the majority being selective, and that radial direction selectivity relies on properties of the center-surround receptive field. We used these bipolar cell receptive fields along with connectomics to design biophysical models of downstream cells. The models and additional experiments demonstrated that bipolar cells pass radial direction selective excitation to starburst amacrine cells, which contributes to their directional tuning. As bipolar cells provide excitation to most amacrine and ganglion cells, their radial direction selectivity may contribute to motion processing throughout the visual system.
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Affiliation(s)
- Sarah Strauss
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
- Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
- Tübingen AI Center, University of Tübingen, Tübingen, Germany
| | - Maria M Korympidou
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
- Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
| | - Yanli Ran
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
- Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
| | - Katrin Franke
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
- Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
| | - Timm Schubert
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
- Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
| | - Tom Baden
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
- School of Life Sciences, University of Sussex, Brighton, UK
| | - Philipp Berens
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
- Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
- Tübingen AI Center, University of Tübingen, Tübingen, Germany
| | - Thomas Euler
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
- Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.
| | - Anna L Vlasits
- Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany.
- Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany.
- Department of Neurobiology, Northwestern University, Evanston, IL, USA.
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34
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Tien NW, Vitale C, Badea TC, Kerschensteiner D. Layer-Specific Developmentally Precise Axon Targeting of Transient Suppressed-by-Contrast Retinal Ganglion Cells. J Neurosci 2022; 42:7213-7221. [PMID: 36002262 PMCID: PMC9512569 DOI: 10.1523/jneurosci.2332-21.2022] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 07/02/2022] [Accepted: 07/08/2022] [Indexed: 12/15/2022] Open
Abstract
The mouse retina encodes diverse visual features in the spike trains of >40 retinal ganglion cell (RGC) types. Each RGC type innervates a specific subset of the >50 retinorecipient brain areas. Our catalog of RGC types and feature representations is nearing completion. Yet, we know little about where specific RGC types send their information. Furthermore, the developmental strategies by which RGC axons choose their targets and pattern their terminal arbors remain obscure. Here, we identify a genetic intersection (Cck-Cre and Brn3cCKOAP ) that selectively labels transient Suppressed-by-Contrast (tSbC) RGCs, a member of an evolutionarily conserved functionally mysterious RGC subclass. We find that tSbC RGCs selectively innervate the dorsolateral geniculate nucleus (dLGN) and ventrolateral geniculate nucleus (vLGN) of the thalamus, the superior colliculus (SC), and the nucleus of the optic tract (NOT) in mice of either sex. They binocularly innervate dLGN and vLGN but project only contralaterally to SC and NOT. In each target, tSbC RGC axons occupy a specific sublayer, suggesting that they restrict their input to specific circuits. The tSbC RGC axons span the length of the optic tract by birth and remain poised there until they simultaneously innervate their four targets around postnatal day 3. The tSbC RGC axons choose the right targets and establish mature stratification patterns from the outset. This precision is maintained in the absence of Brn3c. Our results provide the first map of SbC inputs to the brain, revealing a narrow target set, unexpected laminar organization, target-specific binocularity, and developmental precision.SIGNIFICANCE STATEMENT In recent years, we have learned a lot about the visual features encoded by RGCs, the output neurons of the eye. In contrast, we know little about where RGCs send their information and how RGC axons, which carry this information, target specific brain areas during development. Here, we develop an intersectional strategy to label a unique RGC type, the tSbC RGC, and map its projections. We find that tSbC RGC axons are highly selective. They innervate few retinal targets and restrict their arbors to specific sublayers within these targets. The selective tSbC RGC projection patterns develop synchronously and without trial and error, suggesting molecular determinism and coordination.
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Affiliation(s)
- Nai-Wen Tien
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, Saint Louis, Missouri 63110
- Graduate Program in Neuroscience, Washington University School of Medicine, Saint Louis, Missouri 63110
| | - Carmela Vitale
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, Saint Louis, Missouri 63110
| | - Tudor C Badea
- Retinal Circuit Development and Genetics Unit, Neurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, Bethesda, Maryland 20892
- Research and Development Institute, Transilvania University of Braşov, Braşov 500484, Romania
- National Center for Brain Research, Research Institute for Artificial Intelligence, Romanian Academy, Bucharest 050711, Romania
| | - Daniel Kerschensteiner
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, Saint Louis, Missouri 63110
- Departments of Neuroscience
- Biomedical Engineering, Washington University School of Medicine, Saint Louis, Missouri 63110
- Hope Center for Neurological Disorders, Washington University School of Medicine, Saint Louis, Missouri 63110
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35
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DePiero VJ, Borghuis BG. Phase advancing is a common property of multiple neuron classes in the mouse retina. eNeuro 2022; 9:ENEURO.0270-22.2022. [PMID: 35995559 PMCID: PMC9450563 DOI: 10.1523/eneuro.0270-22.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 08/11/2022] [Accepted: 08/18/2022] [Indexed: 11/21/2022] Open
Abstract
Behavioral interactions with moving objects are challenged by response latencies within the sensory and motor nervous systems. In vision, the combined latency from phototransduction and synaptic transmission from the retina to central visual areas amounts to 50-100 ms, depending on stimulus conditions. Time required for generating appropriate motor output adds to this latency and further compounds the behavioral delay. Neuronal adaptations that help counter sensory latency within the retina have been demonstrated in some species, but how general these specializations are, and where in the circuitry they originate, remains unclear. To address this, we studied the timing of object motion-evoked responses at multiple signaling stages within the mouse retina using two-photon fluorescence calcium and glutamate imaging, targeted whole-cell electrophysiology, and computational modeling. We found that both ON and OFF-type ganglion cells, as well as the bipolar cells that innervate them, temporally advance the position encoding of a moving object and so help counter the inherent signaling delay in the retina. Model simulations show that this predictive capability is a direct consequence of the spatial extent of the cells' linear visual receptive field, with no apparent specialized circuits that help predict beyond it.Significance StatementSignal transduction and synaptic transmission within sensory signaling pathways costs time. Not a lot of time, just tens to a few hundred milliseconds depending on the sensory system, but enough to challenge fast behavioral interactions under dynamic stimulus conditions, like catching a moving fly. To counter neuronal delays, nervous systems of many species use anticipatory mechanisms. One such mechanism in the mammalian visual system helps predict the future position of a moving target through a process called phase advancing. Here we ask for functionally diverse neuron populations in the mouse retina how common is phase advancing and demonstrate that it is common and generated at multiple signaling stages.
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Affiliation(s)
- Victor J DePiero
- Department of Anatomical Sciences and Neurobiology, University of Louisville School of Medicine, Louisville, KY 40202, USA
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Bart G Borghuis
- Department of Anatomical Sciences and Neurobiology, University of Louisville School of Medicine, Louisville, KY 40202, USA
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36
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Goetz J, Jessen ZF, Jacobi A, Mani A, Cooler S, Greer D, Kadri S, Segal J, Shekhar K, Sanes JR, Schwartz GW. Unified classification of mouse retinal ganglion cells using function, morphology, and gene expression. Cell Rep 2022; 40:111040. [PMID: 35830791 PMCID: PMC9364428 DOI: 10.1016/j.celrep.2022.111040] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 01/27/2022] [Accepted: 06/13/2022] [Indexed: 11/24/2022] Open
Abstract
Classification and characterization of neuronal types are critical for understanding their function and dysfunction. Neuronal classification schemes typically rely on measurements of electrophysiological, morphological, and molecular features, but aligning such datasets has been challenging. Here, we present a unified classification of mouse retinal ganglion cells (RGCs), the sole retinal output neurons. We use visually evoked responses to classify 1,859 mouse RGCs into 42 types. We also obtain morphological or transcriptomic data from subsets and use these measurements to align the functional classification to publicly available morphological and transcriptomic datasets. We create an online database that allows users to browse or download the data and to classify RGCs from their light responses using a machine learning algorithm. This work provides a resource for studies of RGCs, their upstream circuits in the retina, and their projections in the brain, and establishes a framework for future efforts in neuronal classification and open data distribution.
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Affiliation(s)
- Jillian Goetz
- Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Zachary F Jessen
- Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Northwestern University Interdepartmental Neuroscience Program, Northwestern University, Evanston, IL, USA; Medical Scientist Training Program, Northwestern University, Chicago, IL, USA
| | - Anne Jacobi
- F.M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Adam Mani
- Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Sam Cooler
- Northwestern University Interdepartmental Neuroscience Program, Northwestern University, Evanston, IL, USA
| | - Devon Greer
- Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Northwestern University Interdepartmental Neuroscience Program, Northwestern University, Evanston, IL, USA
| | - Sabah Kadri
- Department of Pathology, Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Jeremy Segal
- Department of Pathology, Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Karthik Shekhar
- Department of Chemical and Biomolecular Engineering and Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Joshua R Sanes
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Gregory W Schwartz
- Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Neurobiology, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA.
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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: 15] [Impact Index Per Article: 7.5] [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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38
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Sedigh-Sarvestani M, Fitzpatrick D. What and Where: Location-Dependent Feature Sensitivity as a Canonical Organizing Principle of the Visual System. Front Neural Circuits 2022; 16:834876. [PMID: 35498372 PMCID: PMC9039279 DOI: 10.3389/fncir.2022.834876] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
Traditionally, functional representations in early visual areas are conceived as retinotopic maps preserving ego-centric spatial location information while ensuring that other stimulus features are uniformly represented for all locations in space. Recent results challenge this framework of relatively independent encoding of location and features in the early visual system, emphasizing location-dependent feature sensitivities that reflect specialization of cortical circuits for different locations in visual space. Here we review the evidence for such location-specific encoding including: (1) systematic variation of functional properties within conventional retinotopic maps in the cortex; (2) novel periodic retinotopic transforms that dramatically illustrate the tight linkage of feature sensitivity, spatial location, and cortical circuitry; and (3) retinotopic biases in cortical areas, and groups of areas, that have been defined by their functional specializations. We propose that location-dependent feature sensitivity is a fundamental organizing principle of the visual system that achieves efficient representation of positional regularities in visual experience, and reflects the evolutionary selection of sensory and motor circuits to optimally represent behaviorally relevant information. Future studies are necessary to discover mechanisms underlying joint encoding of location and functional information, how this relates to behavior, emerges during development, and varies across species.
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39
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Russell AL, Dixon KG, Triplett JW. Diverse modes of binocular interactions in the mouse superior colliculus. J Neurophysiol 2022; 127:913-927. [PMID: 35294270 PMCID: PMC9076413 DOI: 10.1152/jn.00526.2021] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The superior colliculus (SC) integrates visual and other sensory information to regulate critical reflexive and innate behaviors, such as prey capture. In the mouse, the vast majority of retinal ganglion cells (RGCs) innervate the SC, including inputs from both the contralateral (contra-RGCs) and ipsilateral (ipsi-RGCs) eye. Despite this, previous studies revealed minimal neuronal responses to ipsilateral stimulation and few binocular interactions in the mouse SC. More recent work suggests that ipsi-RGC function and innervation of the SC are critical for efficient prey capture, raising the possibility that binocular interactions in the mouse SC may be more prevalent than previously thought. To explore this possibility, we investigated eye-specific and binocular influences on visual responses and tuning of SC neurons, focusing on the anteromedial region. Although the majority of SC neurons were primarily driven by contralateral eye stimulation, we observed that a substantial proportion of units were influenced or driven by ipsilateral stimulation. Clustering based on differential responses to eye-specific stimulus presentation revealed five distinct putative subpopulations and multiple modes of binocular interaction, including facilitation, summation, and suppression. Each of the putative subpopulations exhibited selectivity for orientation, and differences in spatial frequency tuning and spatial summation properties were observed between subpopulations. Further analysis of orientation tuning under different ocular conditions supported differential modes of binocular interaction between putative subtypes. Taken together, these data suggest that binocular interactions in the mouse SC may be more prevalent and diverse than previously understood.NEW & NOTEWORTHY The mouse superior colliculus (SC) receives binocular inputs, which inform complex behavioral programs. However, we know surprisingly little about binocular tuning in the rodent SC. Here, we characterize responses to eye-specific presentations of visual stimuli and reveal a previously unappreciated diversity of binocularly modulated neurons in the SC. This foundational work broadens our understanding of visual processing in the SC and sets the stage for future studies interrogating the circuit mechanisms underlying binocular tuning.
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Affiliation(s)
- Ashley L Russell
- Center for Neuroscience Research, Children's National Research Institute, Washington, District of Columbia
| | - Karen G Dixon
- Center for Neuroscience Research, Children's National Research Institute, Washington, District of Columbia
| | - Jason W Triplett
- Center for Neuroscience Research, Children's National Research Institute, Washington, District of Columbia
- Department of Pediatrics, The George Washington School of Medicine and Health Sciences, Washington, District of Columbia
- Department of Pharmacology and Physiology, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia
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40
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Shekhar K, Whitney IE, Butrus S, Peng YR, Sanes JR. Diversification of multipotential postmitotic mouse retinal ganglion cell precursors into discrete types. eLife 2022; 11:e73809. [PMID: 35191836 PMCID: PMC8956290 DOI: 10.7554/elife.73809] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 02/21/2022] [Indexed: 11/13/2022] Open
Abstract
The genesis of broad neuronal classes from multipotential neural progenitor cells has been extensively studied, but less is known about the diversification of a single neuronal class into multiple types. We used single-cell RNA-seq to study how newly born (postmitotic) mouse retinal ganglion cell (RGC) precursors diversify into ~45 discrete types. Computational analysis provides evidence that RGC transcriptomic type identity is not specified at mitotic exit, but acquired by gradual, asynchronous restriction of postmitotic multipotential precursors. Some types are not identifiable until a week after they are generated. Immature RGCs may be specified to project ipsilaterally or contralaterally to the rest of the brain before their type identity emerges. Optimal transport inference identifies groups of RGC precursors with largely nonoverlapping fates, distinguished by selectively expressed transcription factors that could act as fate determinants. Our study provides a framework for investigating the molecular diversification of discrete types within a neuronal class.
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Affiliation(s)
- Karthik Shekhar
- Department of Chemical and Biomolecular Engineering; Helen Wills Neuroscience Institute; Center for Computational Biology; California Institute for Quantitative Biosciences, QB3, University of California, BerkeleyBerkeleyUnited States
- Biological Systems and Engineering Division, Lawrence Berkeley National LaboratoryBerkeleyUnited States
- Broad Institute of Harvard and MITCambridgeUnited States
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard UniversityCambridgeUnited States
| | - Irene E Whitney
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard UniversityCambridgeUnited States
| | - Salwan Butrus
- Department of Chemical and Biomolecular Engineering; Helen Wills Neuroscience Institute; Center for Computational Biology; California Institute for Quantitative Biosciences, QB3, University of California, BerkeleyBerkeleyUnited States
| | - Yi-Rong Peng
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard UniversityCambridgeUnited States
- Department of Ophthalmology, Stein Eye Institute, UCLA David Geffen School of MedicineLos AngelesUnited States
| | - Joshua R Sanes
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard UniversityCambridgeUnited States
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41
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D'Souza SP, Swygart DI, Wienbar SR, Upton BA, Zhang KX, Mackin RD, Casasent AK, Samuel MA, Schwartz GW, Lang RA. Retinal patterns and the cellular repertoire of neuropsin (Opn5) retinal ganglion cells. J Comp Neurol 2021; 530:1247-1262. [PMID: 34743323 PMCID: PMC8969148 DOI: 10.1002/cne.25272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 11/01/2021] [Accepted: 11/02/2021] [Indexed: 11/08/2022]
Abstract
Obtaining a parts list of the sensory components of the retina is vital to understanding the effects of light in behavior, health, and disease. Rods, cones, and intrinsically photosensitive retinal ganglion cells (ipRGCs) are the best described photoreceptors in the mammalian retina, but recent functional roles have been proposed for retinal neuropsin (Opn5) - an atypical opsin. However, little is known about the pattern of Opn5 expression in the retina. Using cre (Opn5cre ) and cre-dependent reporters, we uncover patterns of Opn5 expression and find that Opn5 is restricted to retinal ganglion cells (RGCs). Opn5-RGCs are non-homogenously distributed through the retina, with greater densities of cells located in the dorsotemporal quadrant. In addition to local topology of these cells, using cre-dependent AAV viral tracing, we surveyed their central targets and found that they are biased towards image-forming and image-stabilizing regions. Finally, molecular and electrophysiological profiling reveal that Opn5-RGCs comprise previously defined RGC types which respond optimally to edges and object-motion (F-mini-ONs, HD2, HD1, LEDs, ooDSRGCs, etc.). Together, these data describe the second collection of RGCs that express atypical opsins in the mouse, and expand the roles of image-forming cells in retinal physiology and function. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Shane P D'Souza
- Molecular and Developmental Biology Graduate Program, University of Cincinnati, College of Medicine, Cincinnati, OH, 45229, USA.,The Visual Systems Group.,Center for Chronobiology, Abrahamson Pediatric Eye Institute, Division of Pediatric Ophthalmology
| | - David I Swygart
- Departments of Ophthalmology and Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Sophia R Wienbar
- Departments of Ophthalmology and Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Brian A Upton
- Molecular and Developmental Biology Graduate Program, University of Cincinnati, College of Medicine, Cincinnati, OH, 45229, USA.,The Visual Systems Group.,Center for Chronobiology, Abrahamson Pediatric Eye Institute, Division of Pediatric Ophthalmology.,Medical Scientist Training Program, College of Medicine, University of Cincinnati, Cincinnati, OH, 45229, USA
| | - Kevin X Zhang
- Molecular and Developmental Biology Graduate Program, University of Cincinnati, College of Medicine, Cincinnati, OH, 45229, USA.,The Visual Systems Group.,Center for Chronobiology, Abrahamson Pediatric Eye Institute, Division of Pediatric Ophthalmology.,Medical Scientist Training Program, College of Medicine, University of Cincinnati, Cincinnati, OH, 45229, USA
| | - Robert D Mackin
- Huffington Center on Aging, Department of Neuroscience, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Anna K Casasent
- Huffington Center on Aging, Department of Neuroscience, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Melanie A Samuel
- Huffington Center on Aging, Department of Neuroscience, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Gregory W Schwartz
- Departments of Ophthalmology and Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.,Department of Neurobiology, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, 60201, USA
| | - Richard A Lang
- The Visual Systems Group.,Center for Chronobiology, Abrahamson Pediatric Eye Institute, Division of Pediatric Ophthalmology.,Division of Developmental Biology, Cincinnati Children's Hospital, Cincinnati, OH, 45229, USA.,Department of Ophthalmology, University of Cincinnati, College of Medicine, Cincinnati, OH, 45229, USA
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42
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Holmgren CD, Stahr P, Wallace DJ, Voit KM, Matheson EJ, Sawinski J, Bassetto G, Kerr JND. Visual pursuit behavior in mice maintains the pursued prey on the retinal region with least optic flow. eLife 2021; 10:e70838. [PMID: 34698633 PMCID: PMC8547958 DOI: 10.7554/elife.70838] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/30/2021] [Indexed: 11/26/2022] Open
Abstract
Mice have a large visual field that is constantly stabilized by vestibular ocular reflex (VOR) driven eye rotations that counter head-rotations. While maintaining their extensive visual coverage is advantageous for predator detection, mice also track and capture prey using vision. However, in the freely moving animal quantifying object location in the field of view is challenging. Here, we developed a method to digitally reconstruct and quantify the visual scene of freely moving mice performing a visually based prey capture task. By isolating the visual sense and combining a mouse eye optic model with the head and eye rotations, the detailed reconstruction of the digital environment and retinal features were projected onto the corneal surface for comparison, and updated throughout the behavior. By quantifying the spatial location of objects in the visual scene and their motion throughout the behavior, we show that the prey image consistently falls within a small area of the VOR-stabilized visual field. This functional focus coincides with the region of minimal optic flow within the visual field and consequently area of minimal motion-induced image-blur, as during pursuit mice ran directly toward the prey. The functional focus lies in the upper-temporal part of the retina and coincides with the reported high density-region of Alpha-ON sustained retinal ganglion cells.
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Affiliation(s)
- Carl D Holmgren
- Department of Behavior and Brain Organization, Research center caesarBonnGermany
| | - Paul Stahr
- Department of Behavior and Brain Organization, Research center caesarBonnGermany
| | - Damian J Wallace
- Department of Behavior and Brain Organization, Research center caesarBonnGermany
| | - Kay-Michael Voit
- Department of Behavior and Brain Organization, Research center caesarBonnGermany
| | - Emily J Matheson
- Department of Behavior and Brain Organization, Research center caesarBonnGermany
| | - Juergen Sawinski
- Department of Behavior and Brain Organization, Research center caesarBonnGermany
| | - Giacomo Bassetto
- Department of Behavior and Brain Organization, Research center caesarBonnGermany
- Machine Learning in Science, Eberhard Karls University of TübingenTübingenGermany
| | - Jason ND Kerr
- Department of Behavior and Brain Organization, Research center caesarBonnGermany
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A cell-ECM mechanism for connecting the ipsilateral eye to the brain. Proc Natl Acad Sci U S A 2021; 118:2104343118. [PMID: 34654745 PMCID: PMC8545493 DOI: 10.1073/pnas.2104343118] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2021] [Indexed: 12/11/2022] Open
Abstract
Distinct features of the visual world are transmitted from the retina to the brain through anatomically segregated circuits. Despite this being an organizing principle of visual pathways in mammals, we lack an understanding of the signaling mechanisms guiding axons of different types of retinal neurons into segregated layers of brain regions. We explore this question by identifying how axons from the ipsilateral retina innervate a specific lamina of the superior colliculus. Our studies reveal a unique cell–extracellular matrix recognition mechanism that specifies precise targeting of these axons to the superior colliculus. Loss of this mechanism not only resulted in the absence of this eye-specific visual circuit, but it led to an impairment of innate predatory visual behavior as well. Information about features in the visual world is parsed by circuits in the retina and is then transmitted to the brain by distinct subtypes of retinal ganglion cells (RGCs). Axons from RGC subtypes are stratified in retinorecipient brain nuclei, such as the superior colliculus (SC), to provide a segregated relay of parallel and feature-specific visual streams. Here, we sought to identify the molecular mechanisms that direct the stereotyped laminar targeting of these axons. We focused on ipsilateral-projecting subtypes of RGCs (ipsiRGCs) whose axons target a deep SC sublamina. We identified an extracellular glycoprotein, Nephronectin (NPNT), whose expression is restricted to this ipsiRGC-targeted sublamina. SC-derived NPNT and integrin receptors expressed by ipsiRGCs are both required for the targeting of ipsiRGC axons to the deep sublamina of SC. Thus, a cell–extracellular matrix (ECM) recognition mechanism specifies precise laminar targeting of ipsiRGC axons and the assembly of eye-specific parallel visual pathways.
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44
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Establishing the ground squirrel as a superb model for retinal ganglion cell disorders and optic neuropathies. J Transl Med 2021; 101:1289-1303. [PMID: 34253851 PMCID: PMC8753557 DOI: 10.1038/s41374-021-00637-y] [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: 04/02/2021] [Revised: 06/18/2021] [Accepted: 06/21/2021] [Indexed: 01/08/2023] Open
Abstract
Retinal ganglion cell (RGC) death occurs after optic nerve injury due to acute trauma or chronic degenerative conditions such as optic neuropathies (e.g., glaucoma). Currently, there are no effective therapies to prevent permanent vision loss resulting from RGC death, underlining the need for research on the pathogenesis of RGC disorders. Modeling human RGC/optic nerve diseases in non-human primates is ideal because of their similarity to humans, but has practical limitations including high cost and ethical considerations. In addition, many retinal degenerative disorders are age-related making the study in primate models prohibitively slow. For these reasons, mice and rats are commonly used to model RGC injuries. However, as nocturnal mammals, these rodents have retinal structures that differ from primates - possessing less than one-tenth of the RGCs found in the primate retina. Here we report the diurnal thirteen-lined ground squirrel (TLGS) as an alternative model. Compared to other rodent models, the number and distribution of RGCs in the TLGS retina are closer to primates. The TLGS retina possesses ~600,000 RGCs with the highest density along the equatorial retina matching the location of the highest cone density (visual streak). TLGS and primate retinas also share a similar interlocking pattern between RGC axons and astrocyte processes in the retina nerve fiber layer (RNFL). In addition, using TLGS we establish a new partial optic nerve injury model that precisely controls the extent of injury while sparing a portion of the retina as an ideal internal control for investigating the pathophysiology of axon degeneration and RGC death. Moreover, in vivo optical coherence tomography (OCT) imaging and ex vivo microscopic examinations of the retina in optic nerve injured TLGS confirm RGC loss precedes proximal axon degeneration, recapitulating human pathology. Thus, the TLGS retina is an excellent model, for translational research in neurodegeneration and therapeutic neuroprotection.
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45
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Berson D. Keep both eyes on the prize: Hunting mice use binocular vision and specialized retinal neurons to capture prey. Neuron 2021; 109:1418-1420. [PMID: 33957069 DOI: 10.1016/j.neuron.2021.04.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
In this issue of Neuron, Johnson et al. show that mice rely on binocular vision when hunting insect prey. Specific types of retinal output neurons support this behavior. They have functional properties and brain connections well-suited to their role.
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Affiliation(s)
- David Berson
- Department of Neuroscience, Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA.
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