Evidence map›Paper›PMID 40393389›Full record

ArticleCell reports methods2025

A circadian behavioral analysis suite for real-time classification of daily rhythms in complex behaviors.

Logan J Perry, Gavin E Ratcliff, Arthur Mayo, Blanca E Perez, Larissa Rays Wahba, K L Nikhil, William C Lenzen, Yangyuan Li, Jordan Mar, Isabella Farhy-Tselnicker and 2 more

Abstract read
In one paragraph

Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Logan J PerryDepartment of Biology, Texas A&M University, College Station, TX 77843, USA.
Gavin E RatcliffDepartment of Biology, Texas A&M University, College Station, TX 77843, USA.
Arthur MayoInstitute for Neuroscience, Texas A&M University, College Station, TX 77843, USA.
Blanca E PerezDepartment of Biology, Texas A&M University, College Station, TX 77843, USA.
Larissa Rays WahbaDepartment of Biology, Washington University in St. Louis, St. Louis, MO 63130, USA.
K L NikhilDepartment of Biology, Washington University in St. Louis, St. Louis, MO 63130, USA.
William C LenzenDepartment of Biology, Texas A&M University, College Station, TX 77843, USA.
Yangyuan LiDepartment of Biology, Texas A&M University, College Station, TX 77843, USA; Center for Biological Clocks Research, Texas A&M University, College Station, TX 77843, USA.
Jordan MarDepartment of Biology, Texas A&M University, College Station, TX 77843, USA; Institute for Neuroscience, Texas A&M University, College Station, TX 77843, USA.
Isabella Farhy-TselnickerDepartment of Biology, Texas A&M University, College Station, TX 77843, USA; Institute for Neuroscience, Texas A&M University, College Station, TX 77843, USA.
Wanhe LiDepartment of Biology, Texas A&M University, College Station, TX 77843, USA; Center for Biological Clocks Research, Texas A&M University, College Station, TX 77843, USA.
Jeff R JonesDepartment of Biology, Texas A&M University, College Station, TX 77843, USA; Institute for Neuroscience, Texas A&M University, College Station, TX 77843, USA; Center for Biological Clocks Research, Texas A&M University, College Station, TX 77843, USA. Electronic address: jjones@bio.tamu.edu.

Funding

Circadian regulation of neocortexR01NS121161 · NINDS · WASHINGTON UNIVERSITY · PI Erik Herzog · 2022 to 2026
$1.9M
Circadian output mechanisms in nocturnal and diurnal animalsR35GM151020 · NIGMS · TEXAS A&M UNIVERSITY · PI JEFFREY R JONES · 2023 to 2026
$1.9M
Functional Connectivity in the Circadian ClockR01NS139415 · NINDS · WASHINGTON UNIVERSITY · PI Erik Herzog · 2024 to 2026
$1.6M
Interdisciplinary Studies for Mechanisms Underlying Social Isolation-Induced Health Critical Behavior ChangesR35GM150832 · NIGMS · TEXAS A&M UNIVERSITY · PI Wanhe Li · 2023 to 2026
$1.5M
Regulation of Synaptic Rhythmicity by Astrocytic ClockR01NS133047 · NINDS · TEXAS A&M UNIVERSITY · PI Isabella Farhy · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM150832NIGMS NIH HHS R35 GM151020NINDS NIH HHS R01 NS121161NINDS NIH HHS R01 NS133047NINDS NIH HHS R01 NS139415
6 · The paper itself

Abstract

Long-term analysis of animal behavior has been limited by reliance on real-time sensors or manual scoring. Existing machine learning tools can automate analysis but often fail under variable conditions or ignore temporal dynamics. We developed a scalable pipeline for continuous, real-time acquisition and classification of behavior across multiple animals and conditions. At its core is a self-supervised vision model paired with a lightweight classifier that enables robust performance with minimal manual labeling. Our system achieves expert-level performance and can operate indefinitely across diverse recording environments. As a proof-of-concept, we recorded 97 mice over 2 weeks to test whether sex hormones influence circadian behaviors. We discovered sex- and estrogen-dependent rhythms in behaviors such as digging and nesting. We introduce the Circadian Behavioral Analysis Suite (CBAS), a modular toolkit that supports high-throughput, long-timescale behavioral phenotyping, allowing for the temporal analysis of behaviors that were previously difficult or impossible to observe.

Indexed as

Behavior, AnimalCircadian RhythmAnimalsFemaleMachine LearningMaleMiceMice, Inbred C57BLbehaviorcircadianCP: ImagingCP: Neurosciencehome cagemachine learningphenotypingrhythms

Identifiers

PMID40393389
PMCPMC12146638

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.