Evidence map›Paper›PMID 39435078›Full record

ArticleHeliyon2024

A convolutional neural network model detecting lasting behavioral changes in mice with kanamycin-induced unilateral inner ear dysfunction.

Masao Noda, Ryota Koshu, Dias Mari Shimada, Chortip Sajjaviriya, Chizu Saito, Makoto Ito, Taka-Aki Koshimizu

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Masao NodaDivision of Molecular Pharmacology, Department of Pharmacology, Jichi Medical University, Japan.
Ryota KoshuDepartment of Otolaryngology and Head and Neck Surgery, Jichi Medical University, Japan.
Dias Mari ShimadaDepartment of Otolaryngology and Head and Neck Surgery, Jichi Medical University, Japan.
Chortip SajjaviriyaDivision of Molecular Pharmacology, Department of Pharmacology, Jichi Medical University, Japan.
Chizu SaitoDepartment of Otolaryngology and Head and Neck Surgery, Jichi Medical University, Japan.
Makoto ItoDepartment of Otolaryngology and Head and Neck Surgery, Jichi Medical University, Japan.
Taka-Aki KoshimizuDivision of Molecular Pharmacology, Department of Pharmacology, Jichi Medical University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In acute aminoglycoside ototoxicity of the unilateral inner ear, physical abnormalities, such as nystagmus and postural alteration, are relieved within a few days by neural compensation. To examine exploratory behavior over an extended period, behaviors of freely moving mice after unilateral kanamycin injection into the inner ear were recorded in a home cage environment. The tail was excluded from deep learning-mediated object detection because of its delayed movement relative to the body. All detection results were confirmed using a convolutional neural network classification model. In kanamycin-injected mice, the total distance moved in 15 min increased on postoperative day 3. Furthermore, injured mice turned more frequently toward the healthy side up to 17 days after the surgery. This tendency resulted in increased clockwise movements in home cage recordings. Moreover, tail suspension and twisting toward the healthy side induced a physical sign for up to 14 days after the injury; the mice rapidly rotated with dorsal bending. Our analysis strategy employing deep learning helps to evaluate neuronal compensatory processes for an extended period and is useful for assessing the efficacy of therapeutic interventions.

Indexed as

Animal modelsDeep learningOpen field testOtotoxicityUnilateral hearing loss

Identifiers

PMID39435078
PMCPMC11492029

What OpenQuestion holds

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LicenceCC BY-NC
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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.