Evidence map›Paper›PMID 40392886›Full record

ArticlePloS one2025

Automated head-fixation training system with high levels of animal participation in psychoacoustic tasks.

Ji Liu, Kate Maximov, Patrick O Kanold

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Ji LiuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.
Kate MaximovDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.
Patrick O KanoldDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0000-0002-7529-5435

Funding

HIGH THROUGHPUT HOME CAGE PLATFORMS FOR INVESTIGATING NEUROPSYCHIATRIC DISORDERS IN MICER21MH116450 · NIMH · UNIV OF MARYLAND, COLLEGE PARK · PI KANOLD, PATRICK O, MURPHY, TIMOTHY H. · 2018 to 2019
$376k
NIMH NIH HHS R21 MH116450
6 · The paper itself

Abstract

Many animal training paradigms rely on head-fixation. Head-fixation training is typically laborious and can benefit from automation to relieve the workload and reduce the variability in the training outcome. Several groups have reported successful implementations of such systems, but throughput varied greatly across groups. In addition, most studies relied on brief periods of head-fixation sessions (≤ 1 minute) to reduce the potential stress on the animal. Here, we report the design of a new system that could achieve head-fixation sessions on the order of minutes with a high participation rate from the animal (100%). Throughout the training period, each mouse performed a total of close to 40 minutes of head-fixation training on average each day and learned common psychoacoustic tasks, i.e., tone detection and tone discrimination. Our system can achieve highly efficient training with minimum idling time, allowing combinations with high-end neural recording equipment to achieve maximum training and data collection efficiency.

Indexed as

PsychoacousticsAnimalsAutomationMaleMice

Identifiers

PMID40392886
PMCPMC12091756

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.