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Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress

Author

Listed:
  • Joeri Bordes

    (Max Planck Institute of Psychiatry)

  • Lucas Miranda

    (Max Planck Institute of Psychiatry
    International Max Planck Research School for Translational Psychiatry (IMPRS-TP))

  • Maya Reinhardt

    (Max Planck Institute of Psychiatry)

  • Sowmya Narayan

    (Max Planck Institute of Psychiatry
    International Max Planck Research School for Translational Psychiatry (IMPRS-TP))

  • Jakob Hartmann

    (Harvard Medical School, McLean Hospital)

  • Emily L. Newman

    (Harvard Medical School, McLean Hospital)

  • Lea Maria Brix

    (Max Planck Institute of Psychiatry
    International Max Planck Research School for Translational Psychiatry (IMPRS-TP))

  • Lotte Doeselaar

    (Max Planck Institute of Psychiatry
    International Max Planck Research School for Translational Psychiatry (IMPRS-TP))

  • Clara Engelhardt

    (Max Planck Institute of Psychiatry)

  • Larissa Dillmann

    (Max Planck Institute of Psychiatry)

  • Shiladitya Mitra

    (Max Planck Institute of Psychiatry)

  • Kerry J. Ressler

    (Harvard Medical School, McLean Hospital)

  • Benno Pütz

    (Max Planck Institute of Psychiatry)

  • Felix Agakov

    (Pharmatics Limited)

  • Bertram Müller-Myhsok

    (Max Planck Institute of Psychiatry)

  • Mathias V. Schmidt

    (Max Planck Institute of Psychiatry)

Abstract

Severe stress exposure increases the risk of stress-related disorders such as major depressive disorder (MDD). An essential characteristic of MDD is the impairment of social functioning and lack of social motivation. Chronic social defeat stress is an established animal model for MDD research, which induces a cascade of physiological and behavioral changes. Current markerless pose estimation tools allow for more complex and naturalistic behavioral tests. Here, we introduce the open-source tool DeepOF to investigate the individual and social behavioral profile in mice by providing supervised and unsupervised pipelines using DeepLabCut-annotated pose estimation data. Applying this tool to chronic social defeat in male mice, the DeepOF supervised and unsupervised pipelines detect a distinct stress-induced social behavioral pattern, which was particularly observed at the beginning of a novel social encounter and fades with time due to habituation. In addition, while the classical social avoidance task does identify the stress-induced social behavioral differences, both DeepOF behavioral pipelines provide a clearer and more detailed profile. Moreover, DeepOF aims to facilitate reproducibility and unification of behavioral classification by providing an open-source tool, which can advance the study of rodent individual and social behavior, thereby enabling biological insights and, for example, subsequent drug development for psychiatric disorders.

Suggested Citation

  • Joeri Bordes & Lucas Miranda & Maya Reinhardt & Sowmya Narayan & Jakob Hartmann & Emily L. Newman & Lea Maria Brix & Lotte Doeselaar & Clara Engelhardt & Larissa Dillmann & Shiladitya Mitra & Kerry J., 2023. "Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40040-3
    DOI: 10.1038/s41467-023-40040-3
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    1. Carole Morel & Sarah E. Montgomery & Long Li & Romain Durand-de Cuttoli & Emily M. Teichman & Barbara Juarez & Nikos Tzavaras & Stacy M. Ku & Meghan E. Flanigan & Min Cai & Jessica J. Walsh & Scott J., 2022. "Midbrain projection to the basolateral amygdala encodes anxiety-like but not depression-like behaviors," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Giordano, Giuseppe N. & Lindstrom, Martin, 2010. "The impact of changes in different aspects of social capital and material conditions on self-rated health over time: A longitudinal cohort study," Social Science & Medicine, Elsevier, vol. 70(5), pages 700-710, March.
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    1. Vincent Douchamps & Matteo Volo & Alessandro Torcini & Demian Battaglia & Romain Goutagny, 2024. "Gamma oscillatory complexity conveys behavioral information in hippocampal networks," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

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