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Dataset results
526 results for “Vestibular”
Chronic Cough and CANVAS (Cerebellar Ataxia With Neuropathy and Bilateral Vestibular Areflexia Syndrome)
ClinicalTrials.gov study NCT04703595. IPD Sharing: NO. Countries: 1. Publications: 4.
Dose of Vestibular Rehabilitation for Vestibular Hypofunction
ClinicalTrials.gov study NCT04851184. IPD Sharing: NO. Countries: 1. Publications: 17.
Recovery of Visual Acuity in People With Vestibular Deficits
ClinicalTrials.gov study NCT00411216. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Exploratory Evaluation of AR-42 Histone Deacetylase Inhibitor in the Treatment of Vestibular Schwannoma and Meningioma
ClinicalTrials.gov study NCT02282917. IPD Sharing: NO. Countries: 1. Publications: 2.
Enlarged Vestibular Aqueduct Registry
ClinicalTrials.gov study NCT02798783. IPD Sharing: YES. Countries: 1. Publications: 5.
Testing an Intraoral Electronic Balance Aid for Vestibular Imbalance
ClinicalTrials.gov study NCT02735096. IPD Sharing: YES. Countries: 1. Publications: 6.
Microscopic Fluorescence-guided Vestibular Schwannoma Resection Using Fluorescein Sodium and YELLOW 560
ClinicalTrials.gov study NCT04351373. IPD Sharing: NO. Countries: 1. Publications: 1.
Identification of immune-related candidate biomarkers in plasma of patients with sporadic vestibular schwannoma
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The potassium channel subunit Kv1.8 (Kcna10) is essential for the distinctive outwardly rectifying conductances of type I and II vestibular hair cells
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Data from: To hatch and hatch not: Rejecting the hypothesis that heterochrony in vestibular mechanosensing explains poor escape-hatching success of Agalychnis spurrelli in snake attacks compared with its congener A. callidryas
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Effects of transient, persistent, and resurgent sodium currents on excitability and spike regularity in vestibular ganglion neurons
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How do red-eyed treefrog embryos sense motion in predator attacks? Assessing the role of vestibular mechanoreception
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Data from: High-dimensional imaging of vestibular schwannoma reveals distinctive immunological networks across histomorphic niches in NF2-related schwannomatosis
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FIGURE 20. Female genitalia. Vestibular area. a in Revised classification of the New World Cylapini (Heteroptera: Miridae: Cylapinae): taxonomic review of the genera Cylapinus, Cylapoides and Peltidocylapus and a morphology-based phylogenetic analysis of tribe Cylapini
FIGURE 20. Female genitalia. Vestibular area. a. Amapacylapus amapariensis; b. Cylapinus minusculus; c. Cylapoides unicolor; d. Cylapus antennatus; e. Cylapus citus; f. Cylapus tenuicornis; g. Peltidocylapus parallelus; h. Valdasus flavinotum.
A prosthesis utilizing natural vestibular encoding strategies improves sensorimotor performance in monkeys
<p>Dataset repository for "<strong>A prosthesis utilizing natural vestibular encoding strategies improves sensorimotor performance in monkeys"</strong></p>
Dataset and code for "Tiltable objective microscope visualizes selectivity for head motion direction and dynamics in zebrafish vestibular system", Nat Commun 13, 7622 (2022). https://doi.org/10.1038/s41467-022-35190-9
<p>Dataset and code for "Tiltable objective microscope visualizes selectivity for head motion direction and dynamics in zebrafish vestibular system", Tanimoto, Watakabe, and Higashijima.</p> <p> </p> <p>The spreadsheet files contain source data for the figures.</p> <p>The file named "register_rotated_images_demo.zip" contains the MATLAB code, example image data, and instruction text data. To use the code, unzip the file and follow the instructions in the "readme.txt" file. The file named "register_rotated_images_demo_output.zip" contains expected output image data.</p> <p> </p>
Data for: Effects of vestibular stimulation on gait stability when walking at different step widths
<p><strong>Read me - Effects of vestibular stimulation on gait stability when walking at different step widths</strong></p> <p> </p> <p>In this folder you will find the data (folders named Data) and analysis (folder named software) belonging to the manuscript “Effects of vestibular stimulation on gait stability when walking at different step widths”(Magnani et al. 2021). To re-run the analysis, create a folder, and put the file subject_numbers.m, as well as the contents of data.zip and software.zip in that top level folder. Next, navigate to the “software” folder, and run scripts C_main_all_outcomes_paper2 and E_main_stats_paper2.</p> <p> </p> <p>The following subject numbers were included in the analysis: 4 5 6 8 12 14 16 17 18 19 20 21 22 23 (see also subject_numbers.m, which includes explanation of why some subjects were excluded). We had problems with dust due to reconstruction in nearby labs, so some of the kinematic data was simply not useable.</p> <p> </p> <p>The scripts were written for data from 12 conditions, being analyzed the conditions numbered 1 2 5 6 7 8 :</p> <ol> <li>Steady state walking under vestibular stimulation (control, EVS)</li> <li>Steady state walking (control, no-EVS)</li> <li>Stabilization frame walking under vestibular stimulation (frame, EVS)</li> <li>Stabilization frame walking (frame, no-EVS)</li> <li>Narrow-base walking under vestibular stimulation (narrow, EVS)</li> <li>Narrow-base walking (narrow, no-EVS)</li> <li>Wide-base walking under vestibular stimulation (wide, EVS)</li> <li>Wide-base walking (wide, no-EVS)</li> <li>Stabilization frame ML walking under vestibular stimulation looking to the left side (left_frame, EVS)</li> <li>Stabilization frame ML (left_frame, no-EVS)</li> <li>Stabilization frame AP/ML walking under vestibular stimulation looking to the left side (left_frame_AP, EVS)</li> <li>Stabilization frame AP/ML walking looking to the left side (left_frame_AP, no- EVS)</li> </ol> <p> </p> <p>Below we describe the most important contents:</p> <table> <tbody> <tr> <td> <p><strong>Folders</strong></p> </td> <td> <p><strong>Content</strong></p> </td> </tr> <tr> <td> <p><em>Data.zip</em></p> </td> <td> <p>Data of all participants. Each subject has a separate subfolder.</p> <p> </p> <p>These subfolders contain 1 excel files (used to match the conditions with the corresponding data files), as well as the pointer file corresponding to the pointer used during the measurement, needed to digitize the bony landmarks and the muscles names.</p> <p>Each subject subfolder has the following subfolders:</p> </td> </tr> <tr> <td> <p>OPTO</p> </td> <td> <p>Optotrak and force plate files</p> <ul> <li>.ndf (motion capture data)</li> <li>.afp (force plate data)</li> <li>.hs calculated heelstrikes, as done in B_main_heelstrikes.m</li> </ul> </td> </tr> <tr> <td> <p>EMG</p> </td> <td> <p>EMG data stored at .mat and .bin files (not used in current manuscript)</p> </td> </tr> <tr> <td> <p>Software</p> </td> <td> <p><em>=VU 3D model=</em></p> </td> <td> <p>Contains general functions for the analysis of our kinematic and force plate data.</p> </td> </tr> <tr> <td> <p>Functions</p> </td> <td> <p>Functions written specifically for the analysis of this dataset, including some unused functions</p> </td> </tr> <tr> <td> <p>Local Dynamic Stability</p> </td> <td> <p>Functions written specifically for the local dynamic stability.</p> <p>(Bruijn 2017).</p> </td> </tr> <tr> <td> <p>Results</p> </td> <td> <p>Contains storage of some intermediate results.</p> <p>The figures folder includes all</p> <p> </p> </td> </tr> <tr> <td> <p>A_main_check_kin</p> </td> <td> <p>Scripy used to check the kinematics</p> </td> </tr> <tr> <td> <p>B_main_heelstrikes</p> </td> <td> <p>Script to identify gait events were identified from center of pressure data (Roerdink et al. 2008), results are stored in .hs files in subject data folder</p> </td> </tr> <tr> <td> <p>C_main_all_outcomes_paper2</p> </td> <td> <p>Script to calculate all outcomes</p> </td> </tr> <tr> <td> <p>E_main_stats_paper2</p> </td> <td> <p>Scripts of the statistical analysis, which also creates the figure files as seen in the manuscript.</p> </td> </tr> <tr> <td> <p>figure1.eps</p> </td> <td> <p>Mean values of stride width and stride width variability (represents figure 2 from paper)</p> </td> </tr> <tr> <td> <p>figure2.eps</p> </td> <td> <p>Mean values of step time and step time variability (represents figure 3 from paper)</p> </td> </tr> <tr> <td> <p>figure3.eps</p> </td> <td> <p>Mean values and standard deviation of local divergence exponent and center of mass variability (represents figure 4 from paper)</p> </td> </tr> <tr> <td> <p>figure4.eps</p> </td> <td> <p>Mean values of R<sup>2</sup> (percentage of explained variance in foot placement) and the residual variance in foot placement (represents figure 5 from paper)</p> </td> </tr> <tr> <td> <p>ANOVA.csv</p> </td> <td> <p>ANOVA results for each variable</p> </td> </tr> <tr> <td> <p>Posthocs_condition.csv</p> </td> <td> <p>Posthoc results of the condition effect</p> </td> </tr> <tr> <td> <p>Posthocs_interaction.csv</p> </td> <td> <p>Posthoc results of the interaction effect</p> </td> </tr> <tr> <td> <p>Settings_rina.xls</p> </td> <td> <p>The setting of pointer, markers, and segments. </p> </td> </tr> <tr> <td> <p>Stimulationfig.pdf</p> </td> <td> <p>Figure of the electrical stimulation signal (corresponds to figure 1 from paper)</p> </td> </tr> <tr> <td> <p>Svs_5mA_0-25Hz_2000Hz_120s.txt</p> </td> <td> <p>File containing the random electrical vestibular stimulation from the zero-mean low-pass filtered (25 Hz cutoff, zero lag, fourth-order Butterworth) white noise, the peak amplitude of 5mA, root mean square (RMS) of ~ 1.2 mA, range frequency between 0 to 25Hz, and intensity of 2000Hz for 120 seconds of duration.</p> </td> </tr> <tr> <td> <p>Svs_5mA_0-25Hz_2000Hz_480s.txt</p> </td> <td> <p>File containing the electrical vestibular stimulation from the zero-mean low-pass filtered (25 Hz cutoff, zero lag, fourth-order Butterworth) white noise, the peak amplitude of 5mA, root mean square (RMS) of ~ 1.2 mA, range frequency between 0 to 25Hz, and intensity of 2000Hz for 480 seconds of duration.</p> </td> </tr> </tbody> </table> <p> </p> <p> </p> <p>Bruijn SM (2017) Local Dynamic Stability. https://zenodo.org/record/1181937#.Y1Fj7i0w354</p> <p>Magnani RM, van Dieen JH, Bruijn SM (2021) Effects of vestibular stimulation on gait stability when walking at different step widths. bioRxiv 459650:. https://doi.org/https://doi.org/10.1101/2021.09.09.459650</p> <p>Roerdink M, Coolen BH, Clairbois BHE, et al (2008) Online gait event detection using a large force platform embedded in a treadmill. J Biomech 41:2628–32. https://doi.org/10.1016/j.jbiomech.2008.06.023</p> <p> </p>
Seurat objects for "Single-cell multi-omic analysis of the vestibular schwannoma ecosystem uncovers a nerve injury-like state" (https://doi.org/10.1038/s41467-023-42762-w)
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Association Between Vestibular Rehabilitation and Quality of Life in Adults with Persistent Postural-Perceptual Dizziness: A Cross-Sectional Study.
<p><span>Association Between Vestibular Rehabilitation and Quality of Life in Adults with Persistent Postural-Perceptual Dizziness: A Cross-Sectional Study.</span></p>
Vestibular Rehabilitation Verses Virtual Reality on Dizziness, Balance and Gait in Subacute Stroke
ClinicalTrials.gov study NCT04771169. IPD Sharing: NO. Countries: 1. Publications: 6.
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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.