ReviewJournal of neurophysiology2019
Multiscale modeling of mechanotransduction in the utricle.
Review in Journal of neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Utricular Compound Action Potential Thresholds to Pulsed Interaural Vibration in Guinea Pig, and Mechanical Tuning Curve Estimates in Mouse, Rat, Sheep, and Human.Journal of the Association for Research in Otolaryngology : JARO · 2026Article
- Coenzyme Q10 and rikkunshito prevent age-related changes in mouse otolith morphology and function.Biochemistry and biophysics reports · 2025Article
- Effects of aging on otolith morphology and functions in mice.Frontiers in neuroscience · 2024Article
- Differential expression of mechanotransduction complex genes in auditory/vestibular hair cells in zebrafish.Frontiers in molecular neuroscience · 2023Article
- A mathematical model for mechanical activation and compound action potential generation by the utricle in response to sound and vibration.Frontiers in neurology · 2023Article
- Tiltable objective microscope visualizes selectivity for head motion direction and dynamics in zebrafish vestibular system.Nature communications · 2022Article
- Vestibular Deficits in Deafness: Clinical Presentation, Animal Modeling, and Treatment Solutions.Frontiers in neurology · 2022Review
- Implication of Vestibular Hair Cell Loss of Planar Polarity for the Canal and Otolith-Dependent Vestibulo-Ocular Reflexes inFrontiers in neuroscience · 2021Article
- Utricular Sensitivity during Hydrodynamic Displacements of the Macula.Journal of the Association for Research in Otolaryngology : JARO · 2020Article
- Evidence-based diagnostic use of VEMPs : From neurophysiological principles to clinical application.HNO · 2020Review
- Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
We review recent progress in using numerical models to relate utricular hair bundle and otoconial membrane (OM) structure to the functional requirements imposed by natural behavior in turtles. The head movements section reviews the evolution of experimental attempts to understand vestibular system function with emphasis on turtles, including data showing that accelerations occurring during natural head movements achieve higher magnitudes and frequencies than previously assumed. The structure section reviews quantitative anatomical data documenting topographical variation in the structures underlying macromechanical and micromechanical responses of the turtle utricle to head movement: hair bundles, OM, and bundle-OM coupling. The macromechanics section reviews macromechanical models that incorporate realistic anatomical and mechanical parameters and reveal that the system is significantly underdamped, contrary to previous assumptions. The micromechanics: hair bundle motion and met currents section reviews work based on micromechanical models, which demonstrates that topographical variation in the structure of hair bundles and OM, and their mode of coupling, result in regional specializations for signaling of low frequency (or static) head position and high frequency head accelerations. We conclude that computational models based on empirical data are especially promising for investigating mechanotransduction in this challenging sensorimotor system.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.