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Related Experiment Video

Updated: Jun 1, 2026

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage
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Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

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IntelliProfiler 2.0: An integrated R pipeline for long-term home-cage behavioral profiling in group-housed mice using

Shohei Ochi1, Masashi Azuma2, Iori Hara2

  • 1Department of Developmental Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan.

Journal of Neuroscience Methods
|May 30, 2026
PubMed
Summary

IntelliProfiler 2.0 streamlines the analysis of mouse behavior from RFID tracking data, enhancing reproducibility in research. This R-based pipeline offers a unified approach for quantifying locomotion and social interactions, crucial for behavioral phenotyping.

Keywords:
Behavioral phenotypingGroup-housed miceR programmingRFID trackingSocial interactionTravel distance

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Area of Science:

  • Ethology
  • Bioinformatics
  • Animal Behavior

Background:

  • Long-term home-cage monitoring is vital for assessing spontaneous behaviors in group-housed mice.
  • Analyzing high-density RFID tracking data presents challenges to research reproducibility.

Purpose of the Study:

  • To introduce IntelliProfiler 2.0, an R-based pipeline for analyzing RFID tracking data from group-housed mice.
  • To enhance the reproducibility and efficiency of behavioral phenotyping.

Main Methods:

  • Developed a fully R-based pipeline (IntelliProfiler 2.0) for RFID data analysis.
  • Integrated data import, preprocessing, reconstruction, missing-value handling, feature extraction, statistical testing, and visualization.
  • Included metrics such as travel distance, close contact ratio (CCR), and inter-individual distance.

Main Results:

  • IntelliProfiler 2.0 successfully captured circadian and sex-dependent locomotion and proximity patterns in mice.
  • Demonstrated analytical validity by reproducing known sex differences in behavior.
  • Utilized radar charts for intuitive comparison of behavioral profiles and variability.

Conclusions:

  • IntelliProfiler 2.0 offers a reproducible and extensible framework for high-throughput behavioral phenotyping.
  • The pipeline is scalable across various hardware configurations.
  • Facilitates robust analysis of behavioral data from group-housed mice.