Evidence map›Paper›PMID 31604813›Full record

ArticleeNeuro

Silhouette-Length-Scaled Gait Parameters for Motor Functional Analysis in Mice and Rats.

Ivanna K Timotius, Sandra Moceri, Anne-Christine Plank, Johanna Habermeyer, Fabio Canneva, Jürgen Winkler, Jochen Klucken, Nicolas Casadei, Olaf Riess, Bjoern Eskofier and 1 more

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  4. Early Intervention ofNutrients · 2023
    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

11 authors.

Ivanna K TimotiusMachine Learning and Data Analytics Lab, Department of Computer Science, Faculty of Engineering, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91052 Erlangen-Nürnberg, Germany.
Sandra MoceriDepartment Experimental Therapy, University Hospital Erlangen (UKEr) and Preclinical Experimental Animal Center, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054 Erlangen-Nürnberg, Germany.
Anne-Christine PlankDepartment Experimental Therapy, University Hospital Erlangen (UKEr) and Preclinical Experimental Animal Center, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054 Erlangen-Nürnberg, Germany.
Johanna HabermeyerDepartment Experimental Therapy, University Hospital Erlangen (UKEr) and Preclinical Experimental Animal Center, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054 Erlangen-Nürnberg, Germany.
Fabio CannevaDepartment Experimental Therapy, University Hospital Erlangen (UKEr) and Preclinical Experimental Animal Center, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054 Erlangen-Nürnberg, Germany.
Jürgen WinklerDepartment of Molecular Neurology, University Hospital Erlangen (UKEr), Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054 Erlangen-Nürnberg, Germany.
Jochen KluckenDepartment of Molecular Neurology, University Hospital Erlangen (UKEr), Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054 Erlangen-Nürnberg, Germany.
Nicolas CasadeiInstitute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany.
Olaf RiessInstitute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany.
Bjoern EskofierMachine Learning and Data Analytics Lab, Department of Computer Science, Faculty of Engineering, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91052 Erlangen-Nürnberg, Germany.
Stephan von HörstenDepartment Experimental Therapy, University Hospital Erlangen (UKEr) and Preclinical Experimental Animal Center, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054 Erlangen-Nürnberg, Germany Stephan.v.hoersten@fau.de.ORCID 0000-0001-6409-0664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gait analysis of transgenic mice and rats modeling human diseases often suffers from the condition that those models exhibit genotype-driven differences in body size, weight, and length. Thus, we hypothesized that scaling by the silhouette length improves the reliability of gait analysis allowing normalization for individual body size differences. Here, we computed video-derived silhouette length and area parameters from a standard markerless gait analysis system using image-processing techniques. By using length- and area-derived data along with body weight and age, we systematically scaled individual gait parameters. We compared these different scaling approaches and report here that normalization for silhouette length improves the validity and reliability of gait analysis in general. The application of this silhouette length scaling to transgenic Huntington disease mice and Parkinson´s disease rats identifies the remaining differences reflecting more reliable, body length-independent motor functional differences. Overall, this emphasizes the need for silhouette-length-based intra-assay scaling as an improved standard approach in rodent gait analysis.

Indexed as

Image Processing, Computer-AssistedAnimalsBody SizeDisease Models, AnimalGaitHuntington DiseaseMiceParkinson DiseaseRatsReproducibility of ResultsCatWalkgaitHuntingtonnormalizationParkinsonscaling

Identifiers

PMID31604813
PMCPMC6825954

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.