Summary

Assessment of Mouse Judgment Bias through an Olfactory Digging Task

Published: March 04, 2022
doi:

Summary

This article provides a detailed description of a novel mouse judgment bias protocol. Evidence of this olfactory digging task’s sensitivity to affective state is also demonstrated and its utility across diverse research fields is discussed.

Abstract

Judgment biases (JB) are differences in the way that individuals in positive and negative affective/emotional states interpret ambiguous information. This phenomenon has long been observed in humans, with individuals in positive states responding to ambiguity ‘optimistically’ and those in negative states instead showing ‘pessimism’. Researchers aiming to assess animal affect have taken advantage of these differential responses, developing tasks to assess judgment bias as an indicator of affective state. These tasks are becoming increasingly popular across diverse species and fields of research. However, for laboratory mice, the most widely used vertebrates in research and a species heavily relied upon to model affective disorders, only one JB task has been successfully validated as sensitive to changes in affective state. Here, we provide a detailed description of this novel murine JB task, and evidence of its sensitivity to mouse affect. Though refinements are still necessary, assessment of mouse JB opens the door for answering both practical questions regarding mouse welfare, and fundamental questions about the impact of affective state in translational research.

Introduction

Measuring affectively modulated judgment bias (henceforth JB) has proven to be a useful tool for studying the emotional states of animals. This innovative approach borrows from human psychology since humans experiencing positive or negative affective states (emotions and longer-term moods) reliably demonstrate differences in the way they process information1,2,3. For example, humans experiencing anxiety or depression might interpret neutral facial expressions as negative, or neutral sentences as threatening4,5. It is likely that these biases have an adaptive value and are therefore conserved across species6,7. Researchers aiming to assess animal affect have cleverly taken advantage of this phenomenon, operationalizing optimism as the increased expectation of reward in response to neutral or ambiguous cues, and pessimism as the increased expectation of punishment or reward absence8,9. Thus, in an experimental setting, optimistic and pessimistic responses to ambiguous stimuli can be interpreted as indicators of positive and negative affect, respectively10,11.

Compared to other indicators of animal affect, JB tasks have the potential to be particularly valuable tools since they are capable of detecting both the valence and intensity of affective states10,11. The ability of JB tasks to detect positive states (e.g., Rygula et al.12) is especially useful since most indicators of animal affect are limited to the detection of negative states13. During JB tasks, animals are typically trained to respond to a positive discriminative cue predicting reward (e.g., high-frequency tone) and a negative discriminative cue predicting punishment (e.g., low-frequency tone), before being presented with an ambiguous cue (e.g., intermediate tone)8. If in response to ambiguous cues an animal 'optimistically' performs the trained response for the positive cue (as if expecting reward), this indicates a positive judgment bias. Alternatively, if animals demonstrate the negative trained response to avoid punishment, this is indicative of 'pessimism' or negative judgment bias.

Since the development of the first successful JB task for animals by Harding and colleagues8, several JB tasks have been developed for a wide range of species across diverse research fields7. But despite their increasing popularity, animal JB tasks are often labor-intensive. Moreover, perhaps because they are methodologically different from the human tasks that inspired them, they sometimes produce null or counterintuitive results14 and commonly yield only small treatment effect sizes15. As a result, JB tasks can be challenging to develop and implement. In fact, for laboratory mice, the most widely used vertebrates in research16,17 and a species heavily relied upon to model affective disorders18, only one JB task has been successfully validated as sensitive to changes in affective state19 despite many attempts over the past decade (see supplementary material of Resasco et al.19 for a summary). This article describes the recently validated murine JB task, detailing its biologically relevant design, and highlighting the ways that this humane task can be applied to test important hypotheses relevant to mouse affect. Overall, the protocol can be implemented to investigate the affective effects of any variable of interest on JB in mice. This would include categorical treatment variables as described here (drug or disease effects, environmental conditions, genetic background, etc.), or relationships with continuous variables (physiological changes, home cage behaviors, etc.).

Protocol

Experiments were approved by the University of Guelph's Animal Care Committee (AUP #3700), conducted in compliance with Canadian Council on Animal Care guidelines, and reported in accordance with ARRIVE (Animal Research: Reporting of In Vivo Experiments)20 requirements. 1. Experiment preparation Experimental design (see Table 1). NOTE: This behavioral test is a scent-based Go/Go digging task, in which mic…

Representative Results

Results presented here reflect relevant findings from Experiment 1 of Resasco et al.19. Subjects in this experiment were 18 female C57BL/6NCrl ('C57') and 18 Balb/cAnNCrl ('Balb') mice. Animals arrived at the facility at 3-4 weeks of age and were randomly assigned to environmentally enriched or conventional housing treatments (EH or CH, respectively) in mixed strain quartets25. Each cage contained one C57 and one Balb, in addition to two DBA/2NCrl mice being…

Discussion

The scent-based digging protocol and results outlined here demonstrate the ability of this novel JB task to detect changes in mouse affective state. The task thus presents a valuable tool for diverse fields of research. Similar to any JB task, to assess animal affect it is critical that animals first learn to discriminate between cues (step 4.7.3) and that the ambiguous stimulus is interpreted as intermediate (step 5.3). Though simple, meeting these requirements can be challenging, particularly in laboratory mice for whi…

Divulgations

The authors have nothing to disclose.

Acknowledgements

The authors are grateful to Miguel Ayala, Lindsey Kitchenham, Dr. Michelle Edwards, Sylvia Lam and Stephanie Dejardin for their contributions to the Reseasco et al.19 validation work which this protocol is based on. We would also like to thank the mice and our wonderful animal care technicians, Michaela Randall and Michelle Cieplak.

Materials

Absolute ethanol Commercial alcohol P016EAAN Dilute to 70% with distilled water, for cleaning
Centrifuge tubes Fischer 55395 15 mL tubes used to dilute essences here. However, size may be selected based on total volume required for sample size
Cheerios (original) Cheerios N/A Commercially available. Used as reward to train animals to enter annex cage for handling
Corncob bedding Envigo 7092 Teklad 1/8 corncob bedding used in digging pots and animal cages
Cotton pads Equate N/A Commercially available. Modified in lab to fit within tissue cassettes for scent dispensing
Digging pots Rubbermaid N/A Commercially available. Containers were modified to fit the apparatus in the lab
Dried, sweetened banana chips Stock and Barrel N/A Commercially available. High value reward in JB task
JB apparatus N/A The apparatus was made in the lab
JWatcher event recording software Animal Behavior Laboratory, Macquarie University Version 1.0 Freely available for download online. Used to score digging behavior during JB task
Mint extract Fleibor N/A Commercially "Menta (Solución)". Discriminative stimulus odor
Rodent Diet Envigo 2914 Teklad global 14% protein rodent maintenance diets. Low value reward in JB task and regular diet in home cage
SAS statistical software SAS Version 9.4 Other comparable software programs (e.g. R) are also appropriate
Vanilla extract Fleibor Commercially available "Vainilla (Solución)". Discriminative stimulus odor
Video camera Sony DCR-SX22 Sony handycam.

References

  1. Mathews, A., MacLeod, C. Cognitive vulnerability to emotional disorders. Annual Review of Clinical Psychology. 1, 167-195 (2005).
  2. Mathews, A., MacLeod, C. Cognitive approaches to emotions. Anual Review of Psychology. 45 (1), 25-50 (1994).
  3. Blanchette, I., Richards, A. The influence of affect on higher level cognition: A review of research on interpretation, judgement, decision making and reasoning. Cognition and Emotion. 24 (4), 561-595 (2010).
  4. MacLeod, C., Cohen, I. L. Anxiety and the interpretation of ambiguity: A text comprehension study. Journal of Abnormal Psychology. 102 (2), 238-247 (1993).
  5. Everaert, J., Podina, I. R., Koster, E. H. W. A comprehensive meta-analysis of interpretation biases in depression. Clinical Psychology Review. 58, 33-48 (2017).
  6. Haselton, M. G., Nettle, D. The paranoid optimist: An integrative evolutionary model of cognitive biases. Personality and Social Psychology Review. 10 (1), 47-66 (2006).
  7. Mendl, M., Paul, E. Getting to the heart of animal welfare. The study of animal emotion. Stichting Animales. , (2017).
  8. Harding, E. J., Paul, E. S., Mendl, M. Cognitive bias and affective state. Nature. 427 (6972), 312 (2004).
  9. Douglas, C., Bateson, M., Walsh, C., Bédué, A., Edwards, S. A. Environmental enrichment induces optimistic cognitive biases in pigs. Applied Animal Behaviour Science. 139 (1-2), 65-73 (2012).
  10. Paul, E. S., Harding, E. J., Mendl, M. Measuring emotional processes in animals: The utility of a cognitive approach. Neuroscience and Biobehavioral Reviews. 29 (3), 469-491 (2005).
  11. Mendl, M., Burman, O. H. P., Parker, R. M. A., Paul, E. S. Cognitive bias as an indicator of animal emotion and welfare: Emerging evidence and underlying mechanisms. Applied Animal Behaviour Science. 118 (3-4), 161-181 (2009).
  12. Rygula, R., Pluta, H., Popik, P. Laughing rats are optimistic. PLoS ONE. 7 (12), 51959 (2012).
  13. Boissy, A., et al. Assessment of positive emotions in animals to improve their welfare. Physiology and Behavior. 92 (3), 375-397 (2007).
  14. Ross, M., Garland, A., Harlander-Matauschek, A., Kitchenham, L., Mason, G. Welfare-improving enrichments greatly reduce hens’ startle responses, despite little change in judgment bias. Scientific Reports. 9 (1), 1-14 (2019).
  15. Lagisz, M., et al. Optimism, pessimism and judgement bias in animals: A systematic review and meta-analysis. Neuroscience and Biobehavioral Reviews. 118, 3-17 (2020).
  16. . Canadian Council on Animal Care CCAC Animal Data Report 2019 Available from: https://ccac.ca/Documents/AUD/2019-Animal-Data-Report.pdf (2019)
  17. Report From the Commission to the European Parlaiment and the Council. European Commission Available from: https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:52020DC0016&from=EN (2020)
  18. Cryan, J. F., Holmes, A. Model organisms: The ascent of mouse: Advances in modelling human depression and anxiety. Nature Reviews Drug Discovery. 4 (9), 775-790 (2005).
  19. Resasco, A., et al. Cancer blues? A promising judgment bias task indicates pessimism in nude mice with tumors. Physiology and Behavior. 238, 113465 (2021).
  20. Percie du Sert, N., et al. The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research. Journal of Cerebral Blood Flow and Metabolism. 40 (9), 1769-1777 (2020).
  21. Gouveia, K., Hurst, J. L. Optimising reliability of mouse performance in behavioural testing: The major role of non-aversive handling. Scientific Reports. 7, 44999 (2017).
  22. Gygax, L. The A to Z of statistics for testing cognitive judgement bias. Animal Behaviour. 95, 59-69 (2014).
  23. Gaskill, B. N., Garner, J. P. Power to the people: Power, negative results and sample size. Journal of the American Association for Laboratory Animal Science: JAALAS. 59 (1), 9-16 (2020).
  24. MacLellan, A., Adcock, A., Mason, G. Behavioral biology of mice. Behavioral Biology of Lab Animals. , 89-111 (2021).
  25. Walker, M., et al. Mixed-strain housing for female C57BL/6, DBA/2, and BALB/c mice: Validating a split-plot design that promotes refinement and reduction. BMC Medical Research Methodology. 16 (11), (2016).
  26. Weber, E. M., Dallaire, J. A., Gaskill, B. N., Pritchett-Corning, K. R., Garner, J. P. Aggression in group-housed laboratory mice: Why can’t we solve the problem. Lab Animal. 46 (4), 157-161 (2017).
  27. Nip, E., et al. Why are enriched mice nice Investigating how environmental enrichment reduces agonism in female C57BL / 6, DBA / 2, and BALB / c mice. Applied Animal Behaviour Science. 217, 73-82 (2019).
  28. Tilly, S. C., Dallaire, J., Mason, G. J. Middle-aged mice with enrichment-resistant stereotypic behaviour show reduced motivation for enrichment. Animal Behaviour. 80 (3), 363-373 (2010).
  29. Fureix, C., et al. Stereotypic behaviour in standard non-enriched cages is an alternative to depression-like responses in C57BL/6 mice. Behavioural Brain Research. 305, 186-190 (2016).
  30. Nip, E. . The long-term effects of environmental enrichment on agonism in female C57BL/6, BALB/c, and DBA/2 mice. Thesis Dissertation. , (2018).
  31. Wei, J., Carroll, R. J., Harden, K. K., Wu, G. Comparisons of treatment means when factors do not interact in two-factorial studies. Amino Acids. 42 (5), 2031-2035 (2012).
  32. Ruxton, G. D., Neuhäuser, M. When should we use one-tailed hypothesis testing. Methods in Ecology and Evolution. 1 (2), 114-117 (2010).
  33. Young, J. W., et al. The odour span task: A novel paradigm for assessing working memory in mice. Neuropharmacology. 52 (2), 634-645 (2007).
  34. Latham, N., Mason, G. From house mouse to mouse house: The behavioural biology of free-living Mus musculus and its implications in the laboratory. Applied Animal Behaviour Science. 86 (3-4), 261-289 (2004).
  35. Jones, S., et al. Assessing animal affect: an automated and self-initiated judgement bias task based on natural investigative behaviour. Scientific Reports. 8 (1), 12400 (2018).
  36. Novak, J., et al. Effects of stereotypic behaviour and chronic mild stress on judgement bias in laboratory mice. Applied Animal Behaviour Science. 174, 162-172 (2016).
  37. Krakenberg, V., von Kortzfleisch, V. T., Kaiser, S., Sachser, N., Richter, S. H. Differential effects of serotonin transporter genotype on anxiety-like behavior and cognitive judgment bias in mice. Frontiers in Behavioral Neuroscience. 13, 263 (2019).
  38. Krakenberg, V., et al. Technology or ecology? New tools to assess cognitive judgement bias in mice. Behavioural Brain Research. 362, 279-287 (2019).
  39. Krakenberg, V., et al. Effects of different social experiences on emotional state in mice. Scientific Reports. 10, 15255 (2020).
  40. Bračić, M., Bohn, L., Krakenberg, V., Schielzeth, H., Kaiser, S. Once an optimist, always an optimist? Studying cognitive judgment bias in mice. EcoEvoRxiv. , (2021).
  41. Jones, S., Paul, E. S., Dayan, P., Robinson, E. S. J., Mendl, M. Pavlovian influences on learning differ between rats and mice in a counter-balanced Go/NoGo judgement bias task. Behavioural Brain Research. 331, 214-224 (2017).
  42. Roelofs, S., Boleij, H., Nordquist, R. E., vander Staay, F. J. Making decisions under ambiguity: Judgment bias tasks for assessing emotional state in animals. Frontiers in Behavioral Neuroscience. 10 (119), 1-16 (2016).
  43. Sherwin, C. M., Haug, E., Terkelsen, N., Vadgama, M. Studies on the motivation for burrowing by laboratory mice. Applied Animal Behaviour Science. 88 (3-4), 343-358 (2004).
  44. Deacon, R. M. J. Burrowing: A sensitive behavioural assay, tested in five species of laboratory rodents. Behavioural Brain Research. 200 (1), 128-133 (2009).
  45. MacDougall-Shackleton, S. A., Bonier, F., Romero, L. M., Moore, I. T. Glucocorticoids and "stress" are not synonymous. Integrative Organismal Biology. 1 (1), 1-8 (2019).
check_url/fr/63426?article_type=t

Play Video

Citer Cet Article
MacLellan, A., Resasco, A., Young, L., Mason, G. Assessment of Mouse Judgment Bias through an Olfactory Digging Task. J. Vis. Exp. (181), e63426, doi:10.3791/63426 (2022).

View Video