Evidence map›Paper›PMID 42040941›Full record

ArticleResearch square2026

Mouse Bio-behavioral Phenotyping Using a Digital Homecage Framework for Long-timescale, High-resolution, and Multi-factor Data Collection and Analytics.

Nicolette Ognjanovski, Anjesh Ghimire, Pho J Hale, David S Kim, Ivo H Cerda, Ethan Goldiez, Simeone Marino, Antwan Green, Paul J Fitzgerald, Priya Vijayakumar and 13 more

Abstract readPreprint
In one paragraph

Article in Research square, 2026. 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

23 authors.

Nicolette OgnjanovskiMichigan Medicine.
Anjesh GhimireMichigan Medicine.
Pho J HaleUniversity of Michigan-Ann Arbor.
David S KimMichigan Medicine.
Ivo H CerdaHarvard University.
Ethan GoldiezMichigan Medicine.
Simeone MarinoMichigan Medicine.
Antwan GreenMichigan Medicine.
Paul J FitzgeraldMichigan Medicine.
Priya VijayakumarMichigan Medicine.
Deniz KircaMichigan Medicine.
Matthew TongMichigan Medicine.
Noah MuscatMichigan Medicine.
Kennedy KnopfMichigan Medicine.
Mitchell CookMichigan Medicine.
Mingyi TangUniversity of Michigan-Ann Arbor.
Yang ChenUniversity of Michigan-Ann Arbor.
Lezio Soares Bueno JuniorMichigan Medicine.
Ridge WestonMichigan Medicine.
Tangyu LiuMichigan Medicine.
Jeremiah P HartnerMichigan Medicine.
Ivo D DinovUniversity of Michigan-Ann Arbor.
Brendon O WatsonMichigan Medicine.

Funding

Biomedical Informatics and Data Science Training Program (BIDS-TP)T32GM141746 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ivo D Dinov, RYAN E MILLS · 2021 to 2026
$2.6M
Role of waking activity in determining sleep-based modification of cortical circuitsK08MH107662 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI WATSON, BRENDON O · 2015 to 2018
$697k
NIGMS NIH HHS T32 GM141746NIMH NIH HHS K08 MH107662
6 · The paper itself

Abstract

Long-term monitoring of behavioral and physiological processes is essential for elucidating complex brain-based phenomena and disorders that develop over extended periods, such as chronic stress, circadian disruption, and metabolic syndromes. Though digital phenotyping is well-established in humans via smart devices, comparable solutions for rodent models remain limited. To address this gap, we present the Digital Homecage (DHC) system, an open-source platform that enables uninterrupted, long-timescale recording of over 20 behavioral metrics in single-housed mice. The DHC integrates video capture, operant task modules, and wheel-running data to achieve sub-second resolution in monitoring behaviors such as actigraphy, sleep, grooming, and food choice over periods spanning weeks. Initial data validate the system's capability to reveal circadian patterns across multiple spontaneous behaviors, consistently reflecting nocturnal activity. Designed for seamless integration with brain recording technologies, the DHC offers unique opportunities for longitudinal analyses of chronic conditions and neuropsychiatric syndromes. Its accessibility and modular design promote community-driven innovation, establishing the DHC as a transformative tool for advancing the study of complex traits in rodent models of brain function and behavior.

Identifiers

PMID42040941
PMCPMC13105125

What Socratic 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 Socratic graph.