Evidence map›Paper›PMID 33018791›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2020

Detecting and Quantifying Ataxia-Related Motor Impairments in Rodents Using Markerless Motion Tracking With Deep Neural Networks.

Jana Lang, Eva Haas, Jeannette Hubener-Schmid, Collin J Anderson, Stefan M Pulst, Martin A Giese, Winfried Ilg

Open access · greenAbstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 30% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors at 3 institutions in 2 countries.

Jana Lang
Eva Haas
Jeannette Hubener-Schmid
Collin J Anderson
Stefan M Pulst
Martin A Giese
Winfried Ilg
Hertie Institute for Clinical Brain Research · DEUniversity of Tübingen · DEUniversity of Utah · US

Funding

Deep cerebellar stimulation to treat degenerative cerebellar ataxiasR21NS104799 · NINDS · UNIVERSITY OF UTAH · PI PULST, STEFAN M. · 2017 to 2018
$418k
NINDS NIH HHS R21 NS104799
6 · The paper itself

Abstract

In this study we evaluate the application of video-based markerless motion tracking based on deep neural networks for the analysis of ataxia-specific movement abnormalities in rodent models of cerebellar ataxia. Based on a small amount (<100) of manually labeled video frames, markerless motion tracking enabled the extraction of movement trajectories and parameters characterizing ataxia-specific movement abnormalities. In the first experiment, we analyzed videos of 6 shaker and 4 wildtype rats and were able to reproduce thê5 Hz tremor frequency in the shaker rat without the usage of a force plate. In the second experiment, we investigated a spinocerebellar ataxia type 3 (SCA3) mouse model (6 mice aged 3 months and 3 mice aged 9 months) in a beam-balancing task. By establishing a parameter for the assessment of rhythmicity of gait (RoG), we not only found a significantly higher RoG in wildtype mice compared to affected SCA3 mice aged 9 months, but were also able to reveal a significantly lower than typical RoG in SCA3 mice aged 3 months which exhibit no abnormalities in visual inspection. These prototypical results suggest the capability of the presented methods for the application in upcoming therapeutic intervention trials to identify subtle changes in movement behavior.

Indexed as

Cerebellar AtaxiaMotor DisordersAnimalsAtaxiaMiceNeural Networks, ComputerRatsRodentia

Identifiers

PMID33018791
PMCPMC8092116
OpenAlexW3082770044

What OpenQuestion holds

Textmetadata
LicenceTDM
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.