Evidence map›Paper›PMID 39993844›Full record

ArticleeNeuro2025

Semicircular Canals Input Can Modify the Fast-Phase Nystagmus in Off-Vertical Axis Rotation of Mice.

Shijie Xiao, Tong Zhao, Wenda Liu, Zihao Peng, Fangyi Chen

Abstract read
In one paragraph

Article in eNeuro, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shijie XiaoDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Tong ZhaoDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID https://orcid.org/0009-0007-6734-3621
Wenda LiuGiant Technologies Co., Ltd, Shenzhen 518055, China.
Zihao PengGiant Technologies Co., Ltd, Shenzhen 518055, China.
Fangyi ChenDepartment of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China chenfy@sustech.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vestibular research is essential for understanding and treating disorders such as vertigo and Meniere's disease. The vestibulo-ocular reflex (VOR) is a key method for assessing vestibular function and an essential tool for diagnosing vertigo. Traditionally, the VOR comprises angular VOR (aVOR) and translational VOR (tVOR), which originate from the vestibular semicircular canals (SCCs) and otolith organs, respectively. VOR consists of both fast-phase and slow-phase eye movements, which functionally interact to contribute to gaze control. However, to calculate the gain and phase parameters of the VOR, it is common practice to exclude fast-phase information superimposed on slow-phase eye movements. As a result, the information contained in the fast phase has not been fully utilized. OVAR is primarily used to evaluate otolith function, as there is no SCC input during its steady state. It is widely accepted that fast-phase nystagmus (FPN) during OVAR is generated by periodic otolith inputs via the central vestibular velocity storage mechanism. Surprisingly, we discovered in this study that SCC input can modify the generation of FPN in mouse OVAR test, as demonstrated by testing

Indexed as

Nystagmus, PhysiologicReflex, Vestibulo-OcularSemicircular CanalsAnimalsEye MovementsFemaleMaleMiceMice, Inbred C57BLNystagmus, PathologicOtolithic MembraneRotationfast-phase nystagmusoff-vertical axis rotationslow-phase nystagmusunilateral vestibular lesionvestibular ocular reflexvestibular organ

Identifiers

PMID39993844
PMCPMC11963835

What OpenQuestion holds

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Registered trials

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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.