Healthy life, social interaction and disability

Addabbo, Tindara; Sarti, Elena; Sciulli, Dario

doi:10.1007/s11135-015-0279-9

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…An important characteristic of MDD is the impairment of social functioning and lack of social motivation, which can lead to social withdrawal from society in extreme cases (3). In addition, disturbances in social behavior are an important risk factor for developing MDD, as poor social networks are linked to lowered mental and physical health (4, 5). The impact of social interactions was highlighted during the COVID-19 pandemic, where a substantial part of society experienced less to no social interactions for a sustained period of time.…”

Section: Introductionmentioning

confidence: 99%

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

Bordes

Miranda

Reinhardt

et al. 2022

Preprint

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Severe stress exposure is a global problem with long-lasting negative behavioral and physiological consequences, which 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 social behavioral changes. The current developments of markerless pose estimation tools allow for more complex and socially relevant behavioral tests, but the application of these tools to social behavior remains to be explored. 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. The supervised pipeline relies on pre-trained classifiers to detect defined traits for both single and dyadic animal behaviors. Subsequently, the unsupervised pipeline explores the behavioral repertoire of the animals without label priming, which has the potential of pointing towards previously unrecognized motion motifs that are systematically different across conditions. We here provide evidence that 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. The stress-induced social behavior shows a state of arousal that 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. DeepOF aims to facilitate reproducibility and unification of behavioral classification of social behavior by providing an open-source tool, which can significantly advance the study of rodent individual and social behavior, thereby enabling novel biological insights and subsequent drug development for psychiatric disorders.

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Section: Introductionmentioning

confidence: 99%

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

Bordes

Miranda

Reinhardt

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…An important characteristic of MDD is the impairment of social functioning and lack of social motivation, which can lead to social withdrawal from society in extreme cases 3 . In addition, disturbances in social behavior are an important risk factor for developing MDD, as poor social networks are linked to lowered mental and physical health 4,5 . The impact of social interactions was highlighted during the COVID-19 pandemic, where a substantial part of society experienced little to no social interactions for a sustained period.…”

mentioning

confidence: 99%

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

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

Healthy life, social interaction and disability

Cited by 2 publications

References 18 publications

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

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

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

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