The Promise of Automated Home-Cage Monitoring in Improving Translational Utility of Psychiatric Research in Rodents

Mingrone, Alfred; Kaffman, Ayal; Kaffman, Arie

doi:10.3389/fnins.2020.618593

Cited by 30 publications

(29 citation statements)

References 45 publications

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“…Through this automated behavioral system mouse behaviors with a comprehensive and accurate behavioral phenotype can be automatically analyzed to capture the complexity of animal behaviors, characterize the timeframe in detail, reduce animal stress, minimize experimental bias, and decrease environmental-dependent variabilities 38 . Furthermore, the use of automated home-cage monitoring minimizes human interaction thereby reducing the influence of human-related factors, including the gender of experimenters, experience on handling rodents, and prior contact with rodents, on their behavior 39 . However, in the LABORAS system, mice are assessed individually in a cage wherein their physiological condition may be affected by isolation because they are social creatures.…”

Section: Introductionmentioning

confidence: 99%

Automated home-cage for the evaluation of innate non-reflexive pain behaviors in a mouse model of inflammatory pain

Hasriadi

Wasana

Vajragupta

et al. 2021

Sci Rep

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The failure to develop analgesic drugs is attributed not only to the complex and diverse pathophysiology of pain in humans but also to the poor experimental design and poor preclinical assessment of pain. Although considerable efforts have been devoted to overcoming the relevant problems, many features of the behavioral pain assessment remain to be characterized. For example, a decreased locomotor activity as a common presentation of pain-like behavior has yet to be described. Studies on mice experimentally induced with carrageenan have provided opportunities to explore pain-related behaviors in automated home-cage monitoring. Through this approach, the locomotor activities of mice with carrageenan-induced inflammatory pain can be precisely and objectively captured. Here, we found that the mobile behaviors of mice reduced, and their immobility increased, indicating that carrageenan induction in mice caused a significant decrease in locomotor activity. These non-reflexive pain behaviors were strongly correlated with the reflexive pain behaviors measured via von Frey and plantar tests. Furthermore, the pharmacological intervention using indomethacin improved the locomotor activity of mice with carrageenan-induced pain. Thus, the analysis of the locomotor activity in automated home-cage monitoring is useful for studying the behavioral analgesia and the pharmacological screening of analgesic drugs. The combined evaluation of reflexive and non-reflexive pain behaviors enhances the translational utility of preclinical pain research in rodents.

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Section: Introductionmentioning

confidence: 99%

Automated home-cage for the evaluation of innate non-reflexive pain behaviors in a mouse model of inflammatory pain

Hasriadi

Wasana

Vajragupta

et al. 2021

Sci Rep

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“…However, automatic data collection often requires observation confirmation of any specific outcomes for interpretation (e.g., stereotypic behavior, freezing behavior). Recent efforts to use fully automated assays that generate large and complex data sets such as, automated home-cage monitoring or machine learning approaches, involve extensive data acquisition of multiple endpoints that may introduce ambiguities that limit the ability to interpret biologically relevant alterations in the absence of a targeted experimental question/design ( Robinson and Riedel, 2014 ; Wiltschko et al, 2015 ; Mingrone et al, 2020 ).…”

Section: Behavioral Assessmentsmentioning

confidence: 99%

Roadbumps at the Crossroads of Integrating Behavioral and In Vitro Approaches for Neurotoxicity Assessment

Harry¹,

McBride²,

Witchey³

et al. 2022

Front. Toxicol.

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With the appreciation that behavior represents the integration and complexity of the nervous system, neurobehavioral phenotyping and assessment has seen a renaissance over the last couple of decades, resulting in a robust database on rodent performance within various testing paradigms, possible associations with human disorders, and therapeutic interventions. The interchange of data across behavior and other test modalities and multiple model systems has advanced our understanding of fundamental biology and mechanisms associated with normal functions and alterations in the nervous system. While there is a demonstrated value and power of neurobehavioral assessments for examining alterations due to genetic manipulations, maternal factors, early development environment, the applied use of behavior to assess environmental neurotoxicity continues to come under question as to whether behavior represents a sensitive endpoint for assessment. Why is rodent behavior a sensitive tool to the neuroscientist and yet, not when used in pre-clinical or chemical neurotoxicity studies? Applying new paradigms and evidence on the biological basis of behavior to neurobehavioral testing requires expertise and refinement of how such experiments are conducted to minimize variability and maximize information. This review presents relevant issues of methods used to conduct such test, sources of variability, experimental design, data analysis, interpretation, and reporting. It presents beneficial and critical limitations as they translate to the in vivo environment and considers the need to integrate across disciplines for the best value. It proposes that a refinement of behavioral assessments and understanding of subtle pronounced differences will facilitate the integration of data obtained across multiple approaches and to address issues of translation.

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“…These complex tasks are achieved while eliminating the tedious and error prone bias of human assessment over extended periods, allowing researchers to address and recognize larger arrays of behavioral outputs than those traditionally assayed. Indeed, the automated home-cage monitoring is a promising frontier for improving translational neurobehavioral research in rodents (Jhuang et al, 2010;Mingrone et al, 2020;Voikar and Gaburro, 2020), including in SUD models. In addition to the IntelliCage system, there are several other automated home-cage monitoring systems available at present (as summarized in Table 3).…”

Section: The Intellicage System For Animal Model Of Sudmentioning

confidence: 99%

The IntelliCage System: A Review of Its Utility as a Novel Behavioral Platform for a Rodent Model of Substance Use Disorder

Iman

Yusof

Talib

et al. 2021

Front. Behav. Neurosci.

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The use of animal models for substance use disorder (SUD) has made an important contribution in the investigation of the behavioral and molecular mechanisms underlying substance abuse and addiction. Here, we review a novel and comprehensive behavioral platform to characterize addiction-like traits in rodents using a fully automated learning system, the IntelliCage. This system simultaneously captures the basic behavioral navigation, reward preference, and aversion, as well as the multi-dimensional complex behaviors and cognitive functions of group-housed rodents. It can reliably capture and track locomotor and cognitive pattern alterations associated with the development of substance addiction. Thus, the IntelliCage learning system offers a potentially efficient, flexible, and sensitive tool for the high-throughput screening of the rodent SUD model.

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The Promise of Automated Home-Cage Monitoring in Improving Translational Utility of Psychiatric Research in Rodents

Cited by 30 publications

References 45 publications

Automated home-cage for the evaluation of innate non-reflexive pain behaviors in a mouse model of inflammatory pain

Automated home-cage for the evaluation of innate non-reflexive pain behaviors in a mouse model of inflammatory pain

Roadbumps at the Crossroads of Integrating Behavioral and In Vitro Approaches for Neurotoxicity Assessment

The IntelliCage System: A Review of Its Utility as a Novel Behavioral Platform for a Rodent Model of Substance Use Disorder

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