Evidence map›Paper›PMID 32523509›Full record

ArticleFrontiers in neuroscience2020

Automated Analysis of Stroke Mouse Trajectory Data With Traja.

Justin Shenk, Klara J Lohkamp, Maximilian Wiesmann, Amanda J Kiliaan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 15% 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, 23 citations in OpenAlex.

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  5. Inhibition of the RNA Regulator HuR by SRI-42127 Attenuates Neuropathic Pain After Nerve Injury Through Suppression of Neuroinflammatory Responses.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
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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

4 authors at 2 institutions in 1 country.

Justin ShenkDepartment of Anatomy, Radboud University Medical Center, Preclinical Imaging Centre PRIME, Radboud Alzheimer Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands.
Klara J LohkampDepartment of Anatomy, Radboud University Medical Center, Preclinical Imaging Centre PRIME, Radboud Alzheimer Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands.
Maximilian WiesmannDepartment of Anatomy, Radboud University Medical Center, Preclinical Imaging Centre PRIME, Radboud Alzheimer Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands.
Amanda J KiliaanDepartment of Anatomy, Radboud University Medical Center, Preclinical Imaging Centre PRIME, Radboud Alzheimer Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands.
Radboud University Medical Center · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative characterization of mouse activity, locomotion and walking patterns requires the monitoring of position and activity over long periods of time. Manual behavioral phenotyping, however, is time and skill-intensive, vulnerable to researcher bias and often stressful for the animals. We present examples for using a platform-independent open source trajectory analysis software, Traja, for semi-automated analysis of high throughput mouse home-cage data for neurobehavioral research. Our software quantifies numerous parameters of movement including traveled distance, velocity, turnings, and laterality which are demonstrated for application to neurobehavioral analysis. In this study, the open source software for trajectory analysis Traja is applied to movement and walking pattern observations of transient stroke induced female C57BL/6 mice (30 min middle cerebral artery occlusion) on an acute multinutrient diet intervention (Fortasyn). After stroke induction mice were single housed in Digital Ventilated Cages [DVC, GM500, Tecniplast S.p.A., Buguggiate (VA), Italy] and activity was recorded 24/7, every 250 ms using a DVC board. Significant changes in activity, velocity, and distance walked are computed with Traja. Traja identified increased walked distance and velocity in Control and Fortasyn animals over time. No diet effect was found in preference of turning direction (laterality) and distance traveled. As open source software for trajectory analysis, Traja supports independent development and validation of numerical methods and provides a useful tool for computational analysis of 24/7 mouse locomotion in home-cage environment for application in behavioral research or movement disorders.

Indexed as

animal trackinghome-cagemachine learningmouseneuropsychiatric disordersstroke

Identifiers

PMID32523509
PMCPMC7262161
OpenAlexW3026809367

What OpenQuestion holds

Textmetadata
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.