ArticleCell reports methods2023
A fully automated home cage for long-term continuous phenotyping of mouse cognition and behavior.
Article in Cell reports methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Considerations for the selection and phenotyping of mouse models for the study of Alzheimer's disease.STAR protocols · 2026Review
- Mouse Bio-behavioral Phenotyping Using a Digital Homecage Framework for Long-timescale, High-resolution, and Multi-factor Data Collection and Analytics.Research square · 2026Article
- The Training Village: an open platform for continuous testing of rodents in cognitive tasks.bioRxiv : the preprint server for biology · 2026Article
- Challenges and expectations on the use of automated home cage monitoring for advancing laboratory animal care and welfare.Laboratory animals · 2026Article
- Dissecting novel object exploration in a fully automated homecage-based novel object recognition test.Cell reports methods · 2026Article
- Mediodorsal thalamus and ventral pallidum contribute to subcortical regulation of the default mode network.Communications biology · 2024Article
- Digitalization of toxicology: improving preclinical to clinical translation.Frontiers in toxicology · 2024Article
- The first rodent behavioral study (1822) and the diffusion of human-bred albino rats and mice in the 19th century.Frontiers in psychology · 2024Review
- A multi-disciplinary commentary on preclinical research to investigate vascular contributions to dementia.Cerebral circulation - cognition and behavior · 2023Review
- Designing animal-friendly behavioral tests for neuroscience research: The importance of an ethological approach.Frontiers in behavioral neuroscience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
Abstract
Automated home-cage monitoring systems present a valuable tool for comprehensive phenotyping of natural behaviors. However, current systems often involve complex training routines, water or food restriction, and probe a limited range of behaviors. Here, we present a fully automated home-cage monitoring system for cognitive and behavioral phenotyping in mice. The system incorporates T-maze alternation, novel object recognition, and object-in-place recognition tests combined with monitoring of locomotion, drinking, and quiescence patterns, all carried out over long periods. Mice learn the tasks rapidly without any need for water or food restrictions. Behavioral characterization employs a deep convolutional neural network image analysis. We show that combined statistical properties of multiple behaviors can be used to discriminate between mice with hippocampal, medial entorhinal, and sham lesions and predict the genotype of an Alzheimer's disease mouse model with high accuracy. This technology may enable large-scale behavioral screening for genes and neural circuits underlying spatial memory and other cognitive processes.
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What Socratic holds
Registered trials
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 Socratic graph.