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