ArticleScientific reports2023
Automated maternal behavior during early life in rodents (AMBER) pipeline.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Does advancement in marker-less pose-estimation mean more quality research? A systematic review.Frontiers in behavioral neuroscience · 2025Pooled it
- Effects of early life adversity on acute metabolic outcomes during neonatal development.Neurobiology of stress · 2026Article
- Temporal reorganization of maternal care during early life stress in mice.Neurobiology of stress · 2026Article
- Automated Profiling of Social Behaviors to Assess the Genetic Basis of Evolution of Aggressive Behaviors in Astyanax mexicanus.Journal of experimental zoology. Part A, Ecological and integrative physiology · 2026Article
- Postnatal maternal care impacts hypothalamicbioRxiv : the preprint server for biology · 2025Article
- Rapid, Open-Source, and Automated Quantification of the Head Twitch Response in C57BL/6J Mice Using DeepLabCut and Simple Behavioral Analysis.ACS pharmacology & translational science · 2025Article
- Rapid, open-source, and automated quantification of the head twitch response in C57BL/6J mice using DeepLabCut and Simple Behavioral Analysis.bioRxiv : the preprint server for biology · 2025Article
- Disrupted maternal behavior in morphine-dependent pregnant rats and anhedonia in their offspring.Neuropharmacology · 2025Article
- Interplay between prenatal bisphenol exposure, postnatal maternal care, and offspring sex in predicting DNA methylation relevant to anxiety-like behavior in rats.Hormones and behavior · 2025Article
- Quantifying Facial Gestures Using Deep Learning in a New World Monkey.American journal of primatology · 2025Article
- Assessing the effects of 5-HTPharmacological reports : PR · 2025Article
- Disrupted Maternal Behavior in Morphine-Dependent Pregnant Rats and Anhedonia in their Offspring.bioRxiv : the preprint server for biology · 2024Article
- Limited Bedding and Nesting as a Model for Early-Life Adversity in Mice.Journal of visualized experiments : JoVE · 2024Article
- Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience.Nature neuroscience · 2024Article
- Translational models of stress and resilience: An applied neuroscience methodology review.Neuroscience applied · 2024Review
- Comprehensive ethological analysis of fear expression in rats using DeepLabCut and SimBA machine learning model.Frontiers in behavioral neuroscience · 2024Article
- Deep learning algorithms reveal increased social activity in rats at the onset of the dark phase of the light/dark cycle.PloS one · 2024Article
- Article
- Effects of ketamine on rat social behavior as analyzed by DeepLabCut and SimBA deep learning algorithms.Frontiers in pharmacology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Mother-infant interactions during the early postnatal period are critical for infant survival and the scaffolding of infant development. Rodent models are used extensively to understand how these early social experiences influence neurobiology across the lifespan. However, methods for measuring postnatal dam-pup interactions typically involve time-consuming manual scoring, vary widely between research groups, and produce low density data that limits downstream analytical applications. To address these methodological issues, we developed the Automated Maternal Behavior during Early life in Rodents (AMBER) pipeline for quantifying home-cage maternal and mother-pup interactions using open-source machine learning tools. DeepLabCut was used to track key points on rat dams (32 points) and individual pups (9 points per pup) in postnatal day 1-10 video recordings. Pose estimation models reached key point test errors of approximately 4.1-10 mm (14.39 pixels) and 3.44-7.87 mm (11.81 pixels) depending on depth of animal in the frame averaged across all key points for dam and pups respectively. Pose estimation data and human-annotated behavior labels from 38 videos were used with Simple Behavioral Analysis (SimBA) to generate behavior classifiers for dam active nursing, passive nursing, nest attendance, licking and grooming, self-directed grooming, eating, and drinking using random forest algorithms. All classifiers had excellent performance on test frames, with F
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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 OpenQuestion graph.