Evidence map›Paper›PMID 38107632›Full record

ArticleFrontiers in neurology2023

An integrated workflow for 2D and 3D posture analysis during vestibular system testing in mice.

Yong Wan, Michaela A Edmond, Colin Kitz, Joseph Southern, Holly A Holman

Abstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Yong WanScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States.
Michaela A EdmondDepartment of Neurology, University of Utah, Salt Lake City, UT, United States.
Colin KitzDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Joseph SouthernDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Holly A HolmanDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.

Funding

Biophysics and Biomechanics of the Semicircular CanalsR01DC006685 · NIDCD · UNIVERSITY OF UTAH · PI RABBITT, RICHARD D · 2005 to 2022
$6.8M
FluoRender: Rapid Quantitative Analysis and Adaptive Workflows for Fluorescence Microscopy Data in Fundamental Biomedical ResearchR01EB031872 · NIBIB · UNIVERSITY OF UTAH · PI HANSEN, CHARLES · 2021 to 2021
$1.1M
NIBIB NIH HHS R01 EB031872NIDCD NIH HHS R01 DC006685
6 · The paper itself

Abstract

Introduction: Posture extraction from videos is fundamental to many real-world applications, including health screenings. In this study, we extend the utility and specificity of a well-established protocol, the balance beam, for examining balance and active motor coordination in adult mice of both sexes. Objectives: The primary objective of this study is to design a workflow for analyzing the postures of mice walking on a balance beam. Methods: We developed new tools and scripts based on the FluoRender architecture, which can interact with DeepLabCut (DLC) through Python code. Notably, twenty input videos were divided into four feature point groups (head, body, tail, and feet), based on camera positions relative to the balance beam (left and right), and viewing angles (90° and 45° from the beam). We determined key feature points on the mouse to track posture in a still video frame. We extracted a standard walk cycle (SWC) by focusing on foot movements, which were computed by a weighted average of the extracted walk cycles. The correlation of each walk cycle to the SWC was used as the weight. Results: We learned that positions of the camera angles significantly improved the performance of 2D pose estimation (90°) and 3D (45°). Comparing the SWCs from age-matched mice, we found a consistent pattern of supporting feet on the beam. Two feet were consistently on the beam followed by three feet and another three feet in a 2-3-3 pattern. However, this pattern can be mirrored among individual subjects. A subtle phase shift of foot movement was also observed from the SWCs. Furthermore, we compared the SWCs with speed values to reveal anomalies in mouse walk postures. Some anomalies can be explained as the start or finish of the traversal, while others may be correlated to the distractions of the test environment, which will need further investigation. Conclusion: Our posture analysis workflow improves the classical behavioral testing and analysis, allowing the detection of subtle, but significant differences in vestibular function and motor coordination.

Indexed as

AIbalancecoordinationinner earMLmultisensoryspatial orientation

Identifiers

PMID38107632
PMCPMC10722188

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.