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206 results for “ganglion cell”
Feedback from retinal ganglion cells to the inner retina
<p>This repository contains the data files and codes used in the following paper:</p> <p>Feedback from retinal ganglion cells to the inner retina<br> Anastasiia Vlasiuk, Hiroki Asari<br> PLOS One (accepted)</p> <p>The preprint is also available from bioRxiv 2020.08.30.274514.</p>
Data from: Characterisation of GFAP-Expressing Glial Cells in the Dorsal Root Ganglion after Spared Nerve Injury
<p>This data pertain to the paper titled "Characterisation of GFAP-Expressing Glial Cells in the Dorsal Root Ganglion after Spared Nerve Injury " by Elena A. Konnova, Alexandru-Florian Deftu, Paul Chu Sin Chung, Marie Pertin, Guylène Kirschmann, Isabelle Decosterd and Marc R. Suter. The name of the data files correspond to the for each figure in the study. The data file in .csv format are organized so that they can easily be opened in R or other analysis language. To understand them and how they are labelled, it is advised to open the figure next to them and find the appropriate panel.</p><p>Here are included:</p><ul><li>the representative images of immunohistochemistry for GFAP, IBA1, Ki67, NeuN, ATF3, FABP7, GS, Cx43, Kir4.1, MBP, L1CAM in the dorsal root ganglia (DRG) of hGFAP-CFP mice after spared nerve injury (SNI).</li><li>the western blot images of DRG samples and FACS sorted CFP+ cells from the DRG of hGFAP-CFP mice after SNI</li><li>the voltage clamp data of GFAP+ cells from DRG of hGFAP-CFP mice after SNI</li></ul><p> </p>
An ON-type direction selective ganglion cell in primate retina
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Data from: Zebrafish retinal ganglion cells asymmetrically encode spectral and temporal information across visual space
<p>In vertebrate vision, the tetrachromatic larval zebrafish permits non-invasive monitoring and manipulating of neural activity across the nervous system in vivo during ongoing behaviour. However, despite a perhaps unparalleled understanding of links between zebrafish brain circuits and visual behaviours, comparatively little is known about what their eyes send to the brain via retinal ganglion cells (RGCs). Major gaps in knowledge include any information on spectral coding, and information on potentially critical variations in RGC properties across the retinal surface corresponding with asymmetries in the statistics of natural visual space and behavioural demands. Here, we use in vivo two photon (2P) imaging during hyperspectral visual stimulation as well as photolabeling of RGCs to provide a functional and anatomical census of RGCs in larval zebrafish. We find that RGCs' functional and structural properties differ across the eye and include a notable population of UV-responsive On-sustained RGCs that are only found in the acute zone, likely to support visual prey capture of UV-bright zooplankton. Next, approximately half of RGCs display diverse forms of colour opponency including many that are driven by a pervasive and slow blue-Off system - far in excess of what would be required to satisfy traditional models of colour vision. In addition, most information on spectral contrast was intermixed with temporal information. Taken together, our results suggest that zebrafish RGCs send a diverse and highly regionalised time-colour code to the brain.</p>
Classification of pseudocalcium visual responses from mouse retinal ganglion cells
<p>The dataset includes spike data of 9 different recordings from mouse retina ganglion cells and the <em>Pseudocalcium </em>traces after convolving spikes with OGB kernel.</p>
Supporting information for: Discrimination ability of central visual field testing using stimulus size I, II, and III and relationship with macular ganglion cell thickness in chiasmal compression
<p><strong>Purpose</strong><strong>: </strong>To compare the relationship between macular ganglion cell layer (mGCL) thickness and 10-2 visual field (VF) sensitivity using different stimulus sizes in patients with temporal hemianopia from chiasmal compression.</p> <p><strong>Methods:</strong><strong> </strong>A cross-sectional study was conducted involving 30 eyes from 25 patients with temporal VF loss on 24-2 SITA standard automated perimetry due to previous chiasmal compression and 30 healthy eyes (23 controls). Optical coherence tomography (OCT) of the macular area and 10-2 VF testing using Goldmann stimulus size I (GI), II (GII), and III (GIII) were performed in the Octopus 900 perimeter. For the sake of analysis, mGCL thickness and VF data were segregated into four quadrants (two temporal and two nasal) and two halves (temporal and nasal) centered on the fovea, and the groups were compared using generalized estimated equations. The discrimination ability of GI, GII, and GIII was evaluated, as was the correlation between mGCL and 10-2 VF sensitivity using GI, GII, and GIII. </p> <p><strong>Results:</strong><strong> </strong>All mGCL parameters were significantly reduced in patients compared to controls. 10-2 VF test sensitivity using GI, GII, and GIII was significantly lower in patients than in controls (p≤0.008) for all parameters, except the three nasal divisions when using GI (p=0.41, 0.07 and 0.18) Significant correlations were found between temporal VF sectors (all stimulus sizes) and the corresponding nasal mGCL measurements, with similar discrimination ability. Significant correlations were also observed between all three nasal VF divisions and the corresponding temporal mGCL thickness when using stimulus sizes I and II, but not stimulus size III.</p> <p><strong>Conclusions</strong><strong>:</strong> On 10-2 VF testing, GII outperformed GI and GIII with regard to discrimination ability and structure-function correlation with mGCL thickness in chiasmal compression. Our findings suggest that the use of GII can enhance the diagnostic power of 10-2 VF testing, although further studies are necessary to support this conclusion.</p>
High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons.
<p>This is the source file to be use for debugging problems on your own set-up. This files is a good example to both the repository provided for visual processing on the Kremow GitHub:</p> <p>https://github.com/KremkowLab/Axon-on-Neuropixels-in-Kilosort</p> <p>https://github.com/KremkowLab/tangential_recording</p>
Optical coherence tomography of the macular ganglion cell layer in children with neurofibromatosis type 1 is a useful tool in the assessment for optic pathway gliomas
<p><span>To investigate whether the ganglion cell layer assessed by OCT is a reliable measure to identify and detect relapses of symptomatic OPGs in children with NF1.</span></p>
Data from: Zebrafish retinal ganglion cells asymmetrically encode spectral and temporal information across visual space
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Supporting information for: Discrimination ability of central visual field testing using stimulus size I, II, and III and relationship with macular ganglion cell thickness in chiasmal compression
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Optogenetic response of mouse and macaque retinal ganglion cells
<p>Data presented in "Towards optogenetic vision restoration with high resolution"<br> BioRxiv https://www.biorxiv.org/content/10.1101/470773v1, to appear in PLOS Computational Biology.<br> Please cite this paper if the data have been useful for you.</p> <p>Data contains multi-electrode array recordings of optogenetic response of retinal ganglion cells subject to checkerboard visual stimulation.<br> Mouse: blind rd1 mice (4-5 weeks old) with an AAV2 encoding ReaChR-mCitrine under a pan-neuronal hSyn promoter via intravitreal injections. <br> Macaque: retinal ganglion cells have been targeted with an AAV2 encoding a human codon optimized CatCh under a strong, RGC-specific promoter. Retinas were harvested three months after injection of the virus in the adult macaque retina.</p>
Axial currents recordings in mouse retinal ganglion cells
<p>Patch-clamp recordings in mouse retinal ganglion cells performed by Martijn Sierksma. It comprises axial currents recorded in voltage clamp, spontaneous activity and the response to current pulses. The cells were filled with biocytin and subsequently labelled for ankyrin G. The dataset comprises confocal images of the full neurons morphology and their axon initial segments performed by Sarah Goethals. </p> <p> </p>
Temporal pattern recognition in retinal ganglion cells is mediated by dynamical inhibitory synapses
<p>All data used in the study https://doi.org/10.1101/2023.01.12.523643 can be found here. </p>
Ongoing Effect of Expansion Prisms Following the Discontinuation of Use on Visual Field Enlargement and Retrograde Ganglion Cell Degeneration in Homonymous Hemianopia Patients
ClinicalTrials.gov study NCT06674369. IPD Sharing: YES. Countries: 1. Publications: 1.
Retinal Ganglion Cell Neuroprotection Under Prostaglandin Analogues
ClinicalTrials.gov study NCT07074782. IPD Sharing: Not stated. Countries: 5. Publications: 30.
Efficacy of Nicotinamide on Retinal Ganglion Cell Functions in Glaucoma Patients
ClinicalTrials.gov study NCT06078605. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Macular Ganglion Cell Analysis (GCA) of the Cirrus HD-OCT in Glaucoma
ClinicalTrials.gov study NCT01272102. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Morphometric analysis of retinal ganglionic cells (3D confocal images) analyzed using filament tracer from Imaris software
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Retinofugal projections from melanopsin-expressing retinal ganglion cells revealed by intraocular injections of Cre-dependent virus
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Type-specific dendritic integration in mouse retinal ganglion cells
<p>Dataset for <a href="https://www.biorxiv.org/content/10.1101/753335v1.abstract">Ran et al (2020)</a>. These data can be read by Python (>3.6) and Pandas (>1.0.0):</p> <pre><code class="language-python">import pickle data = pickle.load(open('./data_raw.pickle', 'rb')) </code></pre> <p>Or use our custom scripts. For more details, see <a href="https://github.com/berenslab/rgc_dendrites">https://github.com/berenslab/rgc_dendrites</a>. </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.