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87 results for “olfactory bulb”
Human Olfaction Without Apparent Olfactory Bulbs
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Mouse olfactory bulb intrinsic signal imaging for NNMF decomposition
<p>This dataset supplements our recent paper about automatic image segmentation using Non-negative Matrix Factorisation (NMF):</p> <p>Jan Soelter, Jan Schumacher, Hartwig Spors, Michael Schmuker (2014). Automatic segmentation of odor maps in the mouse olfactory bulb using regularized non-negative matrix factorization. <em>NeuroImage</em> 98:279-288.</p> <p>http://dx.doi.org/10.1016/j.neuroimage.2014.04.041</p>
Neither alpha-synuclein-preformed fibrils derived from patients with GBA1 mutations nor the host murine genotype significantly influence seeding efficacy in the mouse olfactory bulb
<p>Data sets for;</p> <p>Neither alpha-synuclein-preformed fibrils derived from patients with <em>GBA1</em> mutations nor the host murine genotype significantly influence seeding efficacy in the mouse olfactory bulb</p>
Example Datasets for Iliski - Neuronal calcium, RBC velocities and fUS responses to odorant stimuli in the mouse olfactory bulb
<p>Dataset containing 2 HDF5 files, one per mouse. It is intended to be used to test Iliski, a Transfer Function computation software. Iliski is available on GitLab (<a href="https://gitlab.com/AliK_A/iliski">https://gitlab.com/AliK_A/iliski</a>) along with the User Manual. Refer to the User Manual and to the ReadMe file for more details on Iliski. Data were already published on Zenodo (<a href="https://doi.org/10.5281/zenodo.3773863">https://doi.org/10.5281/zenodo.3773863</a>), but along an old version of the software. This upload is made for clarity purposes.</p> <p>Each file contains acquisitions of responses to odorant stimuli in the olfactory bulb made with :</p> <ul> <li>two-photon linescan microscopy (for Ca2+ and RBC velocity);</li> <li>functional ultrafast ultrasound, acquired from a coronal plane.</li> </ul> <p>HDF5 files tree is as follows :</p> <ul> <li>Data type <ul> <li>Raw : straight out of our extraction software, no specific treatment applied;</li> <li>Aligned : every acquisition has been aligned so that the odor delivery matches the 10 s mark. Acquisitions have also been interpolated to be meaned;</li> <li>Delta : aligned acquisitions are subtracted with the baseline value (between 5 and 10 s);</li> <li>DetaOverBSL : aligned acquisitions are subtracted and then divided with the baseline value.</li> </ul> </li> <li>Data source <ul> <li>Ca : calcium data from GCamP6f expressed in the mitral cells dendritic tufts;</li> <li>RBC : RBC velocities in a capillary near the calcium recording site, simultaneously acquired;</li> <li>FUS : fUS data, coronal plane. Only in FUS folder is two different folders then : High and Lowspeed, corresponding to different filter for fUS treatment, > 80Hz and 10-30Hz respectively.</li> </ul> </li> <li>Stimulation type : Odorant_Quantity_Duration <ul> <li>Odorant type, either Iso Amyl Acetate (AA) or Ethyl tiglate (ET);</li> <li>Odor quantity : measured and calibrated in volt with a photo-ionizator;</li> <li>Odor duration : from 5 s down to 120 ms, a single sniff for a mouse.</li> </ul> </li> </ul> <p>Ca2+ : Calcium</p> <p>fUS : functional ultrafast ultrasound</p> <p>RBC : Red Blood Cell</p>
High-resolution glomerular responses to a large variety of odorants in the mouse olfactory bulb
<p>Imaging of glomerular responses using intrinsic optical signal and synaptopHluorin. </p> <p>Find the software here: <a href="https://doi.org/10.5281/zenodo.3383874">https://doi.org/10.5281/zenodo.3383874</a></p> <p>The paper is here: </p> <p>Soelter, J., Schumacher, J., Spors, H., Schmuker, M.: Computational exploration of molecular receptive fields in the olfactory bulb reveals a glomerulus-centric chemical map. <em>Sci Rep</em> 10, 77 (2020). <a href="https://doi.org/10.1038/s41598-019-56863-4">https://doi.org/10.1038/s41598-019-56863-4</a></p>
Olfactory bulb snRNAseq dataset for Team Schlossmacher- ASAP
<p>C57BL/6 mice were nasally inoculated with either a control AAV (AAV-EF1a-TdTomato, B1-4) or an experimental AAV expressing humanized mutant alpha-synuclein (AAV-EF1a-SNCA(A53T), A1-4). The mice were 8 weeks of age at the time of inoculation and the virus was expressed for 4 weeks before the mice were sacrificed and the olfactory bulbs were collected for snRNAseq. Viral transduction of olfactory sensory neurons was confirmed in all 8 samples via cryosectioning of the contralateral olfactory bulb.</p>
Dense skeleton reconstructions of neurons in the larval zebrafish olfactory bulb
<p>Large-scale reconstructions of neuronal populations are critical for structural analyses of neuronal cell types and circuits. Dense reconstructions of neurons from image data require ultrastructural resolution throughout large volumes, which can be achieved by automated volumetric electron microscopy (EM) techniques. We used serial block face scanning EM (SBEM) and conductive sample embedding to acquire an image stack from an olfactory bulb (OB) of a zebrafish larva at a voxel resolution of 9.25 × 9.25 × 25 nm<sup>3</sup> (Wanner et al., 2016). Skeletons of 1,022 neurons, ~98% of all neurons in the OB, were reconstructed by manual tracing and efficient error correction procedures. An ergonomic software package, PyKNOSSOS, was created in Python for data browsing, neuron tracing, synapse annotation, and visualization. PyKNOSSOS is available for free download (https://github.com/adwanner/PyKNOSSOS). The reconstructions as provided for download here allow for detailed analyses of morphology, projections and subcellular features of different neuron types. The high density of reconstructions enables geometrical and topological analyses of the OB circuitry. Image data can be accessed and viewed through the neurodata web services (http://www.neurodata.io/wanner16). Raw data and reconstructions can be visualized in PyKNOSSOS.</p> <p> </p> <p>PyKNOSSOS: https://github.com/adwanner/PyKNOSSOS</p> <p>Wanner AA, Genoud C, Masudi T, Siksou L, Friedrich RW (2016) Dense EM-based reconstruction of the interglomerular projectome in the zebrafish olfactory bulb. Nat Neurosci 19:816-825.<br /> http://www.nature.com/neuro/journal/v19/n6/full/nn.4290.html</p>
Data from: Value-related learning in the olfactory bulb occurs through pathway-dependent peri-somatic inhibition of mitral cells
<p>Associating values to environmental cues is a critical aspect of learning from experiences, allowing animals to predict and maximise future rewards. Value-related signals in the brain were once considered a property of higher sensory regions, but their wide distribution across many brain regions is increasingly recognised. Here, we investigate how reward-related signals begin to be incorporated, mechanistically, at the earliest stage of olfactory processing, namely, in the olfactory bulb. In head-fixed mice performing Go/No-Go discrimination of closely related olfactory mixtures, rewarded odours evoke widespread inhibition in one class of output neurons, that is, in mitral cells but not tufted cells. The temporal characteristics of this reward-related inhibition suggest it is odour-driven, but it is also context-dependent since it is absent during pseudo-conditioning and pharmacological silencing of the piriform cortex. Further, the reward-related modulation is present in the somata but not in the apical dendritic tuft of mitral cells, suggesting an involvement of circuit component located deep in the olfactory bulb. Depth-resolved imaging from granule cell dendritic gemmules suggests that granule cells that target mitral cells receive a reward-related extrinsic drive. Thus, our study supports the notion that value-related modulation of olfactory signals is a characteristic of olfactory processing in the primary olfactory area and narrows down the possible underlying mechanisms to deeper circuit components that contact mitral cells peri-somatically.</p>
Behavioral discrimination and olfactory bulb encoding of odor plume intermittency
<p>In order to survive, animals often need to navigate a complex odor landscape where odors can exist in airborne plumes. Several odor plume properties change with distance from the odor source, providing potential navigational cues to searching animals. Here, we focus on odor intermittency, a temporal odor plume property that measures the fraction of time odor is present at a given point within the plume and decreases with increasing distance from the odor source. We sought to determine if mice are capable of using changes in intermittency to locate an odor source. To do so, we trained mice on an intermittency discrimination task. We establish that mice can discriminate odor plume samples of low and high intermittency and that the neural responses in the olfactory bulb can account for task performance and support intermittency encoding. Modulation of sniffing, a behavioral parameter that is highly dynamic during odor-guided navigation, affects both behavioral outcomes on the intermittency discrimination task as well as neural representation of intermittency. Together, this work demonstrates that intermittency is an odor plume property that can inform olfactory search and more broadly supports the notion that mammalian odor-based navigation can be guided by temporal odor plume properties.</p>
Decoding olfactory bulb output: A Behavioural assessment of rate, synchrony, and respiratory phase coding
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Behavioral discrimination and olfactory bulb encoding of odor plume intermittency
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Data from: Strength of selection on Trpc2 gene predicts accessory olfactory bulb form in bat vomeronasal evolution
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Data from: Value-related learning in the olfactory bulb occurs through pathway-dependent peri-somatic inhibition of mitral cells
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Fast-spiking interneuron detonation drives high-fidelity inhibition in the olfactory bulb
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Source data for: Presynaptic NMDARs cooperate with local spikes toward GABA release from the reciprocal olfactory bulb granule cell spine
<p><span>In the rodent olfactory bulb the smooth dendrites of the principal glutamatergic mitral cells (MCs) form reciprocal dendrodendritic synapses with large spines on GABAergic granule cells (GC), where unitary release of glutamate can trigger postsynaptic local activation of voltage-gated Na<sup>+</sup>-channels (Na<sub>v</sub>s), i.e. a spine spike. Can such single MC input evoke reciprocal release? We find that unitary-like activation via two-photon uncaging of glutamate causes GC spines to release GABA both synchronously and asynchronously onto MC dendrites. This release indeed requires activation of Na<sub>v</sub>s and high-voltage-activated Ca<sup>2+</sup>-channels (HVACCs), but also of NMDA receptors (NMDAR). Simulations show temporally overlapping HVACC- and NMDAR-mediated Ca<sup>2+</sup>-currents during the spine spike, and ultrastructural data prove NMDAR presence within the GABAergic presynapse. The cooperative action of presynaptic NMDARs allows to implement synapse-specific, activity-dependent lateral inhibition and thus could provide an efficient solution to combinatorial percept synthesis in a sensory system with many receptor channels. </span></p>
text-fig. 11. heropod frontals in ventral view, illustrating character states for characters 37 and 64. a, stereophotographs of articulated frontals of Allosaurus fragilis (UMNH VP 5470); anterior is to the left, b, same as a; outline drawing, c, stereophotographs of articulated posterior skull roof (frontals, parietals, laterosphenoids) of Troödon formosus (AMNH 6174); anterior is to the top. D, same as c; outline drawing. Abbreviations: ce, facet for the cerebral hemispheres on the frontals; f, frontal; 1, facets for the lacrimals; Is, laterosphenoid; lsf, facets for the laterosphenoids; o, orbital facet; ob, facets for the olfactory bulbs on the frontals; pa, parietal; prf, contact with the prefrontal. Scale bars represent 10 mm. in The interrelationships and evolution of basal theropod dinosaurs
text-fig. 11. heropod frontals in ventral view, illustrating character states for characters 37 and 64. a, stereophotographs of articulated frontals of Allosaurus fragilis (UMNH VP 5470); anterior is to the left, b, same as a; outline drawing, c, stereophotographs of articulated posterior skull roof (frontals, parietals, laterosphenoids) of Troödon formosus (AMNH 6174); anterior is to the top. D, same as c; outline drawing. Abbreviations: ce, facet for the cerebral hemispheres on the frontals; f, frontal; 1, facets for the lacrimals; Is, laterosphenoid; lsf, facets for the laterosphenoids; o, orbital facet; ob, facets for the olfactory bulbs on the frontals; pa, parietal; prf, contact with the prefrontal. Scale bars represent 10 mm.
Processed Stereo-seq data of mouse olfactory bulb data analyzed in STAMarker
<p>Processed Stereo-seq data of mouse olfactory bulb data analyzed in STAMarker</p>
Olfactory Function and Olfactory Bulb Volume in Acromegaly Patients
ClinicalTrials.gov study NCT04138537. IPD Sharing: NO. Countries: 1. Publications: 1.
Morphological Abnormalities of the Olfactory Bulb on MRI and Olfactometry in Anosmic Versus Normosmic COVID-19 Patients
ClinicalTrials.gov study NCT04526054. IPD Sharing: NO. Countries: 1. Publications: 1.
Source data for: Presynaptic NMDARs cooperate with local spikes toward GABA release from the reciprocal olfactory bulb granule cell spine
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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.