Pub Date : 2018-01-01DOI: 10.1017/S0952523817000256
Michael P Stryker, Siegrid Löwel
Emerging technologies are now giving us unprecedented access to manipulate brain circuits, shedding new light on treatments for amblyopia. This research is identifying key circuit elements that control brain plasticity and highlight potential therapeutic targets to promote rewiring in the visual system during and beyond early life. Here, we explore how such recent advancements may guide future pharmacological, genetic, and behavioral approaches to treat amblyopia. We will discuss how animal research, which allows us to probe and tap into the underlying circuit and synaptic mechanisms, should best be used to guide therapeutic strategies. Uncovering cellular and molecular pathways that can be safely targeted to promote recovery may pave the way for effective new amblyopia treatments across the lifespan.
{"title":"Amblyopia: New molecular/pharmacological and environmental approaches.","authors":"Michael P Stryker, Siegrid Löwel","doi":"10.1017/S0952523817000256","DOIUrl":"https://doi.org/10.1017/S0952523817000256","url":null,"abstract":"<p><p>Emerging technologies are now giving us unprecedented access to manipulate brain circuits, shedding new light on treatments for amblyopia. This research is identifying key circuit elements that control brain plasticity and highlight potential therapeutic targets to promote rewiring in the visual system during and beyond early life. Here, we explore how such recent advancements may guide future pharmacological, genetic, and behavioral approaches to treat amblyopia. We will discuss how animal research, which allows us to probe and tap into the underlying circuit and synaptic mechanisms, should best be used to guide therapeutic strategies. Uncovering cellular and molecular pathways that can be safely targeted to promote recovery may pave the way for effective new amblyopia treatments across the lifespan.</p>","PeriodicalId":23556,"journal":{"name":"Visual Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/S0952523817000256","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36224510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-01-01DOI: 10.1017/S0952523817000189
David Hunter
During the summer of 2015, the Lasker/IRRF Initiative on Amblyopia convened two groups of scientists and clinicians with diverse backgrounds and expertise. The objective was to focus on a problem that seriously affects vision, and to see if new thinking and ideas might be helpful in the understanding of amblyopia and how these ideas can be applied to advance the field. At these sessions, David Hunter described what is currently known about this complex condition and identified the research and clinical challenges that persist. A summary of his presentation serves as an introduction to this report. As a practicing pediatric ophthalmologist, I continue to be frustrated by how frequently I encounter children with amblyopia when it is too late to restore normal or near-normal function. In this introduction to the Lasker/IRRF Initiative’s report Amblyopia: Challenges and Opportunities, I will provide the basics of amblyopia from a clinician’s view to provide common ground that facilitate open-ended discussions among clinicians and researchers interested in improving our understanding of this disease. I will present the current clinical definition of amblyopia and how we make the diagnosis, review what is understood about the cause and the nature of the deficit, provide an overview of current approaches to screening for the disease as well as its treatment, and place amblyopia in the context of its burden to the society. The current clinical definition of amblyopia is best provided by the American Academy of Ophthalmology’s Preferred Practice Pattern on Amblyopia (AAO Pediatric Ophthalmology/Strabismus Panel, 2012).
{"title":"Amblyopia: The clinician's view.","authors":"David Hunter","doi":"10.1017/S0952523817000189","DOIUrl":"https://doi.org/10.1017/S0952523817000189","url":null,"abstract":"During the summer of 2015, the Lasker/IRRF Initiative on Amblyopia convened two groups of scientists and clinicians with diverse backgrounds and expertise. The objective was to focus on a problem that seriously affects vision, and to see if new thinking and ideas might be helpful in the understanding of amblyopia and how these ideas can be applied to advance the field. At these sessions, David Hunter described what is currently known about this complex condition and identified the research and clinical challenges that persist. A summary of his presentation serves as an introduction to this report. As a practicing pediatric ophthalmologist, I continue to be frustrated by how frequently I encounter children with amblyopia when it is too late to restore normal or near-normal function. In this introduction to the Lasker/IRRF Initiative’s report Amblyopia: Challenges and Opportunities, I will provide the basics of amblyopia from a clinician’s view to provide common ground that facilitate open-ended discussions among clinicians and researchers interested in improving our understanding of this disease. I will present the current clinical definition of amblyopia and how we make the diagnosis, review what is understood about the cause and the nature of the deficit, provide an overview of current approaches to screening for the disease as well as its treatment, and place amblyopia in the context of its burden to the society. The current clinical definition of amblyopia is best provided by the American Academy of Ophthalmology’s Preferred Practice Pattern on Amblyopia (AAO Pediatric Ophthalmology/Strabismus Panel, 2012).","PeriodicalId":23556,"journal":{"name":"Visual Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/S0952523817000189","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36225435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-16DOI: 10.1017/s0952523817000323
Diane Nava, B. Antony, Li Zhang, M. Abràmoff, C. Wildsoet
{"title":"Novel method using 3-dimensional segmentation in spectral domain-optical coherence tomography imaging in the chick reveals defocus-induced regional and time-sensitive asymmetries in the choroidal thickness—ADDENDUM","authors":"Diane Nava, B. Antony, Li Zhang, M. Abràmoff, C. Wildsoet","doi":"10.1017/s0952523817000323","DOIUrl":"https://doi.org/10.1017/s0952523817000323","url":null,"abstract":"","PeriodicalId":23556,"journal":{"name":"Visual Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/s0952523817000323","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44159929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-09DOI: 10.1017/S0952523816000183
P. Keeley, Jason J Kim, Sammy C. S. Lee, S. Haverkamp, B. Reese
Abstract Retinal bipolar cells spread their dendritic arbors to tile the retinal surface, extending them to the tips of the dendritic fields of their homotypic neighbors, minimizing dendritic overlap. Such uniform nonredundant dendritic coverage of these populations would suggest a degree of spatial order in the properties of their somal distributions, yet few studies have examined the patterning in retinal bipolar cell mosaics. The present study examined the organization of two types of cone bipolar cells in the mouse retina, the Type 2 cells and the Type 4 cells, and compared their spatial statistical properties with those of the horizontal cells and the cholinergic amacrine cells, as well as to random simulations of cells matched in density and constrained by soma size. The Delauney tessellation of each field was computed, from which nearest neighbor distances and Voronoi domain areas were extracted, permitting a calculation of their respective regularity indexes (RIs). The spatial autocorrelation of the field was also computed, from which the effective radius and packing factor (PF) were determined. Both cone bipolar cell types were found to be less regular and less efficiently packed than either the horizontal cells or cholinergic amacrine cells. Furthermore, while the latter two cell types had RIs and PFs in excess of those for their matched random simulations, the two types of cone bipolar cells had spatial statistical properties comparable to random distributions. An analysis of single labeled cone bipolar cells revealed dendritic arbors frequently skewed to one side of the soma, as would be expected from a randomly distributed population of cells with dendrites that tile. Taken together, these results suggest that, unlike the horizontal cells or cholinergic amacrine cells which minimize proximity to one another, cone bipolar cell types are constrained only by their physical size.
{"title":"Random spatial patterning of cone bipolar cell mosaics in the mouse retina","authors":"P. Keeley, Jason J Kim, Sammy C. S. Lee, S. Haverkamp, B. Reese","doi":"10.1017/S0952523816000183","DOIUrl":"https://doi.org/10.1017/S0952523816000183","url":null,"abstract":"Abstract Retinal bipolar cells spread their dendritic arbors to tile the retinal surface, extending them to the tips of the dendritic fields of their homotypic neighbors, minimizing dendritic overlap. Such uniform nonredundant dendritic coverage of these populations would suggest a degree of spatial order in the properties of their somal distributions, yet few studies have examined the patterning in retinal bipolar cell mosaics. The present study examined the organization of two types of cone bipolar cells in the mouse retina, the Type 2 cells and the Type 4 cells, and compared their spatial statistical properties with those of the horizontal cells and the cholinergic amacrine cells, as well as to random simulations of cells matched in density and constrained by soma size. The Delauney tessellation of each field was computed, from which nearest neighbor distances and Voronoi domain areas were extracted, permitting a calculation of their respective regularity indexes (RIs). The spatial autocorrelation of the field was also computed, from which the effective radius and packing factor (PF) were determined. Both cone bipolar cell types were found to be less regular and less efficiently packed than either the horizontal cells or cholinergic amacrine cells. Furthermore, while the latter two cell types had RIs and PFs in excess of those for their matched random simulations, the two types of cone bipolar cells had spatial statistical properties comparable to random distributions. An analysis of single labeled cone bipolar cells revealed dendritic arbors frequently skewed to one side of the soma, as would be expected from a randomly distributed population of cells with dendrites that tile. Taken together, these results suggest that, unlike the horizontal cells or cholinergic amacrine cells which minimize proximity to one another, cone bipolar cell types are constrained only by their physical size.","PeriodicalId":23556,"journal":{"name":"Visual Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/S0952523816000183","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45906769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-01DOI: 10.1017/S0952523817000062
Daniel Kerschensteiner, William Guido
The dorsal lateral geniculate nucleus (dLGN) of the thalamus is the principal conduit for visual information from retina to visual cortex. Viewed initially as a simple relay, recent studies in the mouse reveal far greater complexity in the way input from the retina is combined, transmitted, and processed in dLGN. Here we consider the structural and functional organization of the mouse retinogeniculate pathway by examining the patterns of retinal projections to dLGN and how they converge onto thalamocortical neurons to shape the flow of visual information to visual cortex.
{"title":"Organization of the dorsal lateral geniculate nucleus in the mouse.","authors":"Daniel Kerschensteiner, William Guido","doi":"10.1017/S0952523817000062","DOIUrl":"10.1017/S0952523817000062","url":null,"abstract":"<p><p>The dorsal lateral geniculate nucleus (dLGN) of the thalamus is the principal conduit for visual information from retina to visual cortex. Viewed initially as a simple relay, recent studies in the mouse reveal far greater complexity in the way input from the retina is combined, transmitted, and processed in dLGN. Here we consider the structural and functional organization of the mouse retinogeniculate pathway by examining the patterns of retinal projections to dLGN and how they converge onto thalamocortical neurons to shape the flow of visual information to visual cortex.</p>","PeriodicalId":23556,"journal":{"name":"Visual Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380502/pdf/nihms-977384.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35561394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-01DOI: 10.1017/S0952523817000049
Reece Mazade, Jose Manuel Alonso
Visual information reaches the cerebral cortex through a major thalamocortical pathway that connects the lateral geniculate nucleus (LGN) of the thalamus with the primary visual area of the cortex (area V1). In humans, ∼3.4 million afferents from the LGN are distributed within a V1 surface of ∼2400 mm2, an afferent number that is reduced by half in the macaque and by more than two orders of magnitude in the mouse. Thalamocortical afferents are sorted in visual cortex based on the spatial position of their receptive fields to form a map of visual space. The visual resolution within this map is strongly correlated with total number of thalamic afferents that V1 receives and the area available to sort them. The ∼20,000 afferents of the mouse are only sorted by spatial position because they have to cover a large visual field (∼300 deg) within just 4 mm2 of V1 area. By contrast, the ∼500,000 afferents of the cat are also sorted by eye input and light/dark polarity because they cover a smaller visual field (∼200 deg) within a much larger V1 area (∼400 mm2), a sorting principle that is likely to apply also to macaques and humans. The increased precision of thalamic sorting allows building multiple copies of the V1 visual map for left/right eyes and light/dark polarities, which become interlaced to keep neurons representing the same visual point close together. In turn, this interlaced arrangement makes cortical neurons with different preferences for stimulus orientation to rotate around single cortical points forming a pinwheel pattern that allows more efficient processing of objects and visual textures.
{"title":"Thalamocortical processing in vision.","authors":"Reece Mazade, Jose Manuel Alonso","doi":"10.1017/S0952523817000049","DOIUrl":"https://doi.org/10.1017/S0952523817000049","url":null,"abstract":"<p><p>Visual information reaches the cerebral cortex through a major thalamocortical pathway that connects the lateral geniculate nucleus (LGN) of the thalamus with the primary visual area of the cortex (area V1). In humans, ∼3.4 million afferents from the LGN are distributed within a V1 surface of ∼2400 mm2, an afferent number that is reduced by half in the macaque and by more than two orders of magnitude in the mouse. Thalamocortical afferents are sorted in visual cortex based on the spatial position of their receptive fields to form a map of visual space. The visual resolution within this map is strongly correlated with total number of thalamic afferents that V1 receives and the area available to sort them. The ∼20,000 afferents of the mouse are only sorted by spatial position because they have to cover a large visual field (∼300 deg) within just 4 mm2 of V1 area. By contrast, the ∼500,000 afferents of the cat are also sorted by eye input and light/dark polarity because they cover a smaller visual field (∼200 deg) within a much larger V1 area (∼400 mm2), a sorting principle that is likely to apply also to macaques and humans. The increased precision of thalamic sorting allows building multiple copies of the V1 visual map for left/right eyes and light/dark polarities, which become interlaced to keep neurons representing the same visual point close together. In turn, this interlaced arrangement makes cortical neurons with different preferences for stimulus orientation to rotate around single cortical points forming a pinwheel pattern that allows more efficient processing of objects and visual textures.</p>","PeriodicalId":23556,"journal":{"name":"Visual Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/S0952523817000049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35457549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-01DOI: 10.1017/S0952523817000311
Daniel Kerschensteiner, William Guido
as the review by Morgan describes, connectomic approaches show that there is a method to such madness. Indeed, 3-D serial recon-structions of synaptic circuits reveal previously unrecognized higher-order network organization. One intriguing finding from this approach is that mouse dLGN neurons receive more retinal inputs
{"title":"Visual thalamus, \"it's complicated\".","authors":"Daniel Kerschensteiner, William Guido","doi":"10.1017/S0952523817000311","DOIUrl":"https://doi.org/10.1017/S0952523817000311","url":null,"abstract":"as the review by Morgan describes, connectomic approaches show that there is a method to such madness. Indeed, 3-D serial recon-structions of synaptic circuits reveal previously unrecognized higher-order network organization. One intriguing finding from this approach is that mouse dLGN neurons receive more retinal inputs","PeriodicalId":23556,"journal":{"name":"Visual Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/S0952523817000311","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35458483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-01Epub Date: 2017-11-16DOI: 10.1017/S095252381700013X
J Michael Hasse, Farran Briggs
The corticogeniculate circuit is an evolutionarily conserved pathway linking the primary visual cortex with the visual thalamus in the feedback direction. While the corticogeniculate circuit is anatomically robust, the impact of corticogeniculate feedback on the visual response properties of visual thalamic neurons is subtle. Accordingly, discovering the function of corticogeniculate feedback in vision has been a particularly challenging task. In this review, the morphology, organization, physiology, and function of corticogeniculate feedback is compared across mammals commonly studied in visual neuroscience: primates, carnivores, rabbits, and rodents. Common structural and organizational motifs are present across species, including the organization of corticogeniculate feedback into parallel processing streams in highly visual mammals.
{"title":"A cross-species comparison of corticogeniculate structure and function.","authors":"J Michael Hasse, Farran Briggs","doi":"10.1017/S095252381700013X","DOIUrl":"10.1017/S095252381700013X","url":null,"abstract":"<p><p>The corticogeniculate circuit is an evolutionarily conserved pathway linking the primary visual cortex with the visual thalamus in the feedback direction. While the corticogeniculate circuit is anatomically robust, the impact of corticogeniculate feedback on the visual response properties of visual thalamic neurons is subtle. Accordingly, discovering the function of corticogeniculate feedback in vision has been a particularly challenging task. In this review, the morphology, organization, physiology, and function of corticogeniculate feedback is compared across mammals commonly studied in visual neuroscience: primates, carnivores, rabbits, and rodents. Common structural and organizational motifs are present across species, including the organization of corticogeniculate feedback into parallel processing streams in highly visual mammals.</p>","PeriodicalId":23556,"journal":{"name":"Visual Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054447/pdf/nihms964093.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36332064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-01DOI: 10.1017/S0952523817000116
Josh L Morgan
Although the core functions and structure of the lateral geniculate nucleus (LGN) are well understood, this core is surrounded by questions about the integration of feedforward and feedback connections, interactions between different channels of information, and how activity dependent development restructures synaptic networks. Our understanding of the organization of the mouse LGN is particularly limited given how important it has become as a model system. Advances in circuit scale electron microscopy (cellular connectomics) have made it possible to reconstruct the synaptic connectivity of hundreds of neurons within in a circuit the size of the mouse LGN. These circuit reconstructions can reveal cell type-to-cell type canonical wiring diagrams as well as the higher order wiring motifs that are only visible in reconstructions of intact networks. Connectomic analysis of the LGN therefore not only can answer longstanding questions about the organization of the visual thalamus but also presents unique opportunities for investigating fundamental properties of mammalian circuit formation.
{"title":"A connectomic approach to the lateral geniculate nucleus.","authors":"Josh L Morgan","doi":"10.1017/S0952523817000116","DOIUrl":"https://doi.org/10.1017/S0952523817000116","url":null,"abstract":"<p><p>Although the core functions and structure of the lateral geniculate nucleus (LGN) are well understood, this core is surrounded by questions about the integration of feedforward and feedback connections, interactions between different channels of information, and how activity dependent development restructures synaptic networks. Our understanding of the organization of the mouse LGN is particularly limited given how important it has become as a model system. Advances in circuit scale electron microscopy (cellular connectomics) have made it possible to reconstruct the synaptic connectivity of hundreds of neurons within in a circuit the size of the mouse LGN. These circuit reconstructions can reveal cell type-to-cell type canonical wiring diagrams as well as the higher order wiring motifs that are only visible in reconstructions of intact networks. Connectomic analysis of the LGN therefore not only can answer longstanding questions about the organization of the visual thalamus but also presents unique opportunities for investigating fundamental properties of mammalian circuit formation.</p>","PeriodicalId":23556,"journal":{"name":"Visual Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/S0952523817000116","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35987222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-01DOI: 10.1017/S0952523817000104
Elizabeth Y Litvina, Chinfei Chen
The thalamocortical (TC) relay neuron of the dorsoLateral Geniculate Nucleus (dLGN) has borne its imprecise label for many decades in spite of strong evidence that its role in visual processing transcends the implied simplicity of the term "relay". The retinogeniculate synapse is the site of communication between a retinal ganglion cell and a TC neuron of the dLGN. Activation of retinal fibers in the optic tract causes reliable, rapid, and robust postsynaptic potentials that drive postsynaptics spikes in a TC neuron. Cortical and subcortical modulatory systems have been known for decades to regulate retinogeniculate transmission. The dynamic properties that the retinogeniculate synapse itself exhibits during and after developmental refinement further enrich the role of the dLGN in the transmission of the retinal signal. Here we consider the structural and functional substrates for retinogeniculate synaptic transmission and plasticity, and reflect on how the complexity of the retinogeniculate synapse imparts a novel dynamic and influential capacity to subcortical processing of visual information.
{"title":"An evolving view of retinogeniculate transmission.","authors":"Elizabeth Y Litvina, Chinfei Chen","doi":"10.1017/S0952523817000104","DOIUrl":"10.1017/S0952523817000104","url":null,"abstract":"<p><p>The thalamocortical (TC) relay neuron of the dorsoLateral Geniculate Nucleus (dLGN) has borne its imprecise label for many decades in spite of strong evidence that its role in visual processing transcends the implied simplicity of the term \"relay\". The retinogeniculate synapse is the site of communication between a retinal ganglion cell and a TC neuron of the dLGN. Activation of retinal fibers in the optic tract causes reliable, rapid, and robust postsynaptic potentials that drive postsynaptics spikes in a TC neuron. Cortical and subcortical modulatory systems have been known for decades to regulate retinogeniculate transmission. The dynamic properties that the retinogeniculate synapse itself exhibits during and after developmental refinement further enrich the role of the dLGN in the transmission of the retinal signal. Here we consider the structural and functional substrates for retinogeniculate synaptic transmission and plasticity, and reflect on how the complexity of the retinogeniculate synapse imparts a novel dynamic and influential capacity to subcortical processing of visual information.</p>","PeriodicalId":23556,"journal":{"name":"Visual Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6180333/pdf/nihms-991387.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35457556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}