Optimism, pessimism and judgement bias in animals: A systematic review and meta-analysis

Neuroscience & Biobehavioral Reviews - Tập 118 - Trang 3-17 - 2020
Malgorzata Lagisz1, Josefina Zidar2, Shinichi Nakagawa1, Vikki Neville3, Enrico Sorato2, Elizabeth S. Paul3, Melissa Bateson4, Michael Mendl3, Hanne Løvlie2
1Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia
2The Department of Physics, Chemistry and Biology, IFM Biology, Linköping University, SE-581 83, Linköping, Sweden
3Centre for Behavioural Biology, Bristol Veterinary School, University of Bristol, Langford, BS40 5DU, United Kingdom
4Centre for Behaviour and Evolution, Biosciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, United Kingdom

Tóm tắt

Từ khóa


Tài liệu tham khảo

Andreano, 2009, Sex influences on the neurobiology of learning and memory, Learn. Mem., 16, 248, 10.1101/lm.918309

Ash, 2016, The long-term impact of infant rearing background on the affective state of adult common marmosets (Callithrix jacchus), Appl. Anim. Behav. Sci., 174, 128, 10.1016/j.applanim.2015.10.009

Baciadonna, 2015, The use of judgement bias to assess welfare in farm livestock, Anim. Welf., 24, 81, 10.7120/09627286.24.1.081

Bailoo, 2018, Effects of cage enrichment on behavior, welfare and outcome variability in female mice, Front. Behav. Neurosci., 12, 232, 10.3389/fnbeh.2018.00232

Barker, 2017, Female rats display fewer optimistic responses in a judgment bias test in the absence of a physiological stress response, Physiol. Behav., 173, 124, 10.1016/j.physbeh.2017.02.006

Barton, 2009

Bateson, 2016, Optimistic and pessimistic biases: a primer for behavioural ecologists, Curr. Opin. Behav. Sci., 12, 115, 10.1016/j.cobeha.2016.09.013

Bateson, 2011, Agitated honeybees exhibit pessimistic cognitive biases, Curr. Biol., 21, 1070, 10.1016/j.cub.2011.05.017

Baumans, 2005, Science-based assessment of animal welfare: laboratory animals, Rev. Sci. Technol., 24, 503, 10.20506/rst.24.2.1585

Bethell, 2015, A “how-to” guide for designing judgment bias studies to assess captive animal welfare, J. Appl. Anim. Welf. Sci., 18, S18, 10.1080/10888705.2015.1075833

Bethell, 2015, Happy hamsters? Enrichment induces positive judgement bias for mildly (but not truly) ambiguous cues to reward and punishment in Mesocricetus auratus, R. Soc. Open Sci., 2, 140399, 10.1098/rsos.140399

Bethell, 2016, Emotion evaluation and response slowing in a non-human primate: new directions for cognitive bias measures of animal emotion?, Behav. Sci. (Basel), 6, 2, 10.3390/bs6010002

Blanchette, 2010, The influence of affect on higher level cognition: a review of research on interpretation, judgement, decision making and reasoning, Cogn. Emot., 24, 561, 10.1080/02699930903132496

Brilot, 2010, Stereotyping starlings are more “pessimistic”, Anim. Cogn., 13, 721, 10.1007/s10071-010-0323-z

Burman, 2018, A novel task to assess mood congruent memory bias in non-human animals, J. Neurosci. Methods, 308, 269, 10.1016/j.jneumeth.2018.07.003

Burman, 2009, Anxiety-induced cognitive bias in non-human animals, Physiol. Behav., 98, 345, 10.1016/j.physbeh.2009.06.012

Chamberlain, 2012, Does phylogeny matter? Assessing the impact of phylogenetic information in ecological meta‐analysis, Ecol. Lett., 15, 627, 10.1111/j.1461-0248.2012.01776.x

Cohen, 1969

Crump, 2018, Affect-driven attention biases as animal welfare indicators: review and methods, Animals, 8, 10.3390/ani8080136

da Cunha Nogueira, 2015, Does trapping influence decision-making under ambiguity in white-lipped peccary (Tayassu pecari)?, PLoS One, 10

Darwin, 1872

Davis, 2008, The use of leukocyte profiles to measure stress in vertebrates: a review for ecologists, Funct. Ecol., 22, 760, 10.1111/j.1365-2435.2008.01467.x

Deakin, 2018, State-dependent judgement bias in Drosophila: evidence for evolutionarily primitive affective processes, Biology Letters, 14, 20170779, 10.1098/rsbl.2017.0779

Destrez, 2013, Chronic stress induces pessimistic-like judgment and learning deficits in sheep, Appl. Anim. Behav. Sci., 148, 28, 10.1016/j.applanim.2013.07.016

Douglas, 2012, Environmental enrichment induces optimistic cognitive biases in pigs, Appl. Anim. Behav. Sci., 139, 65, 10.1016/j.applanim.2012.02.018

Doyle, 2011, Measuring judgement bias and emotional reactivity in sheep following long-term exposure to unpredictable and aversive events, Physiol. Behav., 102, 503, 10.1016/j.physbeh.2011.01.001

Drinkwater, 2019, Keeping invertebrate research ethical in a landscape of shifting public opinion, Methods Ecol. Evol., 10, 1265, 10.1111/2041-210X.13208

Egger, 1997, Bias in meta-analysis detected by a simple, graphical test measures of funnel plot asymmetry, BMJ, 315, 629, 10.1136/bmj.315.7109.629

Girard, 2020, Revealing animal emotions, Science, 368, 33, 10.1126/science.abb2796

Guitart-Masip, 2014, Action versus valence in decision making, Trends Cogn. Sci., 18, 194, 10.1016/j.tics.2014.01.003

Gygax, 2014, The A to Z of statistics for testing cognitive judgement bias, Anim. Behav., 95, 59, 10.1016/j.anbehav.2014.06.013

Hadfield, 2010, MCMC methods for multi-response generalized linear mixed models: the MCMCglmm R package, J. Stat. Softw., 33, 1, 10.18637/jss.v033.i02

Hales, 2014, Modelling cognitive affective biases in major depressive disorder using rodents, Br. J. Pharmacol., 171, 4524, 10.1111/bph.12603

Hales, 2016, Diffusion modelling reveals the decision making processes underlying negative judgement bias in rats, PLoS One, 11, 10.1371/journal.pone.0152592

Harding, 2004, Cognitive bias and affective state, Nature, 427, 312, 10.1038/427312a

Hedges, 1985

Hintze, 2018, A cross-species judgement bias task: integrating active trial initiation into a spatial Go/No-go task, Sci. Rep., 8, 5104, 10.1038/s41598-018-23459-3

Horváth, 2016, The effects of housing conditions on judgement bias in Japanese quail, Applied Animal Behaviour Science, 185, 121, 10.1016/j.applanim.2016.09.007

Jennions, 2002, Relationships fade with time: a meta-analysis of temporal trends in publication in ecology and evolution, Dokl. Biol. Sci., 269, 43, 10.1098/rspb.2001.1832

Jonasson, 2005, Meta-analysis of sex differences in rodent models of learning and memory: a review of behavioral and biological data, Neurosci. Biobehav. Rev., 10.1016/j.neubiorev.2004.10.006

Jones, 2017, Pavlovian influences on learning differ between rats and mice in a counter-balanced Go/NoGo judgement bias task, Behav. Brain Res., 331, 214, 10.1016/j.bbr.2017.05.044

Jones, 2018, Assessing animal affect: an automated and self-initiated judgement bias task based on natural investigative behaviour, Sci. Rep., 8, 12400, 10.1038/s41598-018-30571-x

Keay, 2006, Fecal glucocorticoids and their metabolites as indicators of stress in various mammalian species: a literature review, J. Zoo Wildl. Med., 37, 234, 10.1638/05-050.1

Keen, 2014, Validation of a novel cognitive bias task based on difference in quantity of reinforcement for assessing environmental enrichment, Anim. Cogn., 17, 529, 10.1007/s10071-013-0684-1

Lin, 2011, Environmental enrichment exerts sex-specific effects on emotionality in C57BL/6J mice, Behav. Brain Res., 216, 349, 10.1016/j.bbr.2010.08.019

Mendl, 2020, Animal affect and decision-making, Neurosci. Biobehav. Rev., 112, 144, 10.1016/j.neubiorev.2020.01.025

Mendl, 2009, Cognitive bias as an indicator of animal emotion and welfare: emerging evidence and underlying mechanisms, Appl. Anim. Behav. Sci., 118, 161, 10.1016/j.applanim.2009.02.023

Mendl, 2010, An integrative and functional framework for the study of animal emotion and mood, Proc. R. Soc. B Biol. Sci., 277, 2895, 10.1098/rspb.2010.0303

Moher, 2009, Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement, PLoS Med., 6, e100009, 10.1371/journal.pmed.1000097

Murphy, 2013, Responses of conventional pigs and Gottingen miniature pigs in an active choice judgement bias task, Appl. Anim. Behav. Sci., 148, 64, 10.1016/j.applanim.2013.07.011

Nakagawa, 2012, Methodological issues and advances in biological meta-analysis, Evol. Ecol., 26, 1253, 10.1007/s10682-012-9555-5

Nakagawa, 2013, A general and simple method for obtaining R2 from generalized linear mixed-effects models, Meth. Ecolol. Evol., 4, 133, 10.1111/j.2041-210x.2012.00261.x

Nakagawa, 2017, The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded, J. R. Soc. Interface, 14, 10.1098/rsif.2017.0213

Nakagawa, 2020, The orchard plot: cultivating forest plots for use in ecology, evolution and beyond, Res. Syn. Meth., 1

Neville, 2020, Pharmacological manipulations of judgement bias: a systematic review and meta-analysis, Neurosci. Biobehav. Rev., 108, 269, 10.1016/j.neubiorev.2019.11.008

Nguyen, 2020, Cognitive bias under adverse and rewarding conditions: a systematic review of rodent studies, Front. Behav. Neurosci., 14

Novak, 2016, Effects of stereotypic behaviour and chronic mild stress on judgement bias in laboratory mice, Appl. Anim. Behav. Sci., 174, 162, 10.1016/j.applanim.2015.10.004

Oliveira, 2016, Measurement of cognitive bias and cortisol levels to evaluate the effects of space restriction on captive collared peccary (Mammalia, Tayassuidae), Appl. Anim. Behav. Sci., 181, 76, 10.1016/j.applanim.2016.05.021

Palanza, 2017, How does sex matter? Behavior, stress and animal models of neurobehavioral disorders. 76A: 134-143, Neurosci. Biobehav. Rev., 10.1016/j.neubiorev.2017.01.037

Paul, 2005, Measuring emotional processes in animals: the utility of a cognitive approach, Neurosci. Biobehav. Rev., 29, 469, 10.1016/j.neubiorev.2005.01.002

Paul, 2020, Towards a comparative science of emotion: affect and consciousness in humans and animals, Neurosci. Biobehav. Rev., 108, 749, 10.1016/j.neubiorev.2019.11.014

R Development Core Team, 2018

Roelofs, 2016, Making decisions under ambiguity: judgment bias tasks for assessing emotional state in animals, Front. Behav. Neurosci., 10, 10.3389/fnbeh.2016.00119

Rolls, 2009

Rosenthal, 1979, The file drawer problem and tolerance for null results, Psychol. Bull., 86, 638, 10.1037/0033-2909.86.3.638

Rygula, 2013, Trait pessimism predicts vulnerability to stress-induced anhedonia in rats, Neuropsychopharmacology, 38, 2188, 10.1038/npp.2013.116

Scherer, 2005, What are emotions? And how can they be measured?, Soc. Sci. Inf., 44, 695, 10.1177/0539018405058216

Senior, 2016, Heterogeneity in ecological and evolutionary meta-analyses: its magnitude and implications, Ecology, 97, 10.1002/ecy.1591

Shansky, 2016, Considering sex as a biological variable will be valuable for neuroscience research, J. Neurosci., 36, 11817, 10.1523/JNEUROSCI.1390-16.2016

ter Horst, 2012, Relevance of stress and female sex hormones for emotion and cognition, Cell. Mol. Neurobiol., 32, 725, 10.1007/s10571-011-9774-2

Viechtbauer, 2010, Conducting meta-analyses in R with the metafor package, J. Stat. Softw., 36, 1, 10.18637/jss.v036.i03

Wallace, 2012, Deploying an interactive machine learning system in an evidence-based practice center: abstrackr, IHI’12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, 819, 10.1145/2110363.2110464

Wheeler, 2015, Effect of multilevel laboratory rat caging system on the well-being of the singly-housed Sprague Dawley rat, Lab. Anim., 49, 10, 10.1177/0023677214547404

Wolfensohn, 2018, Assessment of welfare in Zoo animals: towards optimum quality of life, Animals, 8, 110, 10.3390/ani8070110

Zidar, 2018, Environmental complexity buffers against stress-induced negative judgement bias in female chickens, Sci. Rep., 8, 5404, 10.1038/s41598-018-23545-6