The Promise of Behavioral Tracking Systems for Advancing Primate Animal Welfare.

Brenna Knaebe, Claudia C Weiss, Jan Zimmermann, Benjamin Y Hayden
Author Information
  1. Brenna Knaebe: Department of Neuroscience and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN 55455, USA.
  2. Claudia C Weiss: Department of Neuroscience and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN 55455, USA. ORCID
  3. Jan Zimmermann: Department of Neuroscience and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN 55455, USA.
  4. Benjamin Y Hayden: Department of Neuroscience and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN 55455, USA. ORCID

Abstract

Recent years have witnessed major advances in the ability of computerized systems to track the positions of animals as they move through large and unconstrained environments. These systems have so far been a great boon in the fields of primatology, psychology, neuroscience, and biomedicine. Here, we discuss the promise of these technologies for animal welfare. Their potential benefits include identifying and reducing pain, suffering, and distress in captive populations, improving laboratory animal welfare within the context of the three Rs of animal research (reduction, refinement, and replacement), and applying our understanding of animal behavior to increase the "natural" behaviors in captive and wild populations facing human impact challenges. We note that these benefits are often incidental to the designed purpose of these tracking systems, a reflection of the fact that animal welfare is not inimical to research progress, but instead, that the aligned interests between basic research and welfare hold great promise for improvements to animal well-being.

Keywords

References

  1. Philos Trans R Soc Lond B Biol Sci. 2022 Feb 14;377(1844):20200524 [PMID: 34957853]
  2. Lab Anim. 2016 Feb;50(1):30-8 [PMID: 25801331]
  3. J R Soc Interface. 2011 Oct 7;8(63):1497-509 [PMID: 21429908]
  4. Eur J Pharmacol. 2015 Jul 15;759:19-29 [PMID: 25823812]
  5. Nat Commun. 2021 Mar 31;12(1):1985 [PMID: 33790275]
  6. Dev Psychopathol. 2011 Nov;23(4):1187-95 [PMID: 22018089]
  7. Nat Neurosci. 2014 Nov;17(11):1440-1 [PMID: 25349909]
  8. Am J Primatol. 2011 Mar;73(3):220-5 [PMID: 20575044]
  9. Nat Methods. 2021 May;18(5):564-573 [PMID: 33875887]
  10. PLoS Biol. 2017 Nov 15;15(11):e2003091 [PMID: 29141002]
  11. Proc Natl Acad Sci U S A. 2019 Dec 26;116(52):26305-26312 [PMID: 31871162]
  12. J Neurosci. 2018 May 2;38(18):4383-4398 [PMID: 29626169]
  13. Nat Neurosci. 2020 Feb;23(2):252-259 [PMID: 31907436]
  14. ILAR J. 2013;54(2):234-45 [PMID: 24174445]
  15. Curr Opin Neurobiol. 2020 Feb;60:1-11 [PMID: 31791006]
  16. Proc Natl Acad Sci U S A. 2019 Dec 26;116(52):26247-26254 [PMID: 31871147]
  17. Nat Hum Behav. 2019 Nov;3(11):1215-1224 [PMID: 31501543]
  18. Sci Rep. 2020 Nov 23;10(1):20402 [PMID: 33230175]
  19. Neuron. 2014 Jun 18;82(6):1357-66 [PMID: 24881835]
  20. Am J Primatol. 1996;39(4):205-221 [PMID: 31918502]
  21. Int J Mol Sci. 2018 Jul 24;19(8): [PMID: 30042373]
  22. Proc Natl Acad Sci U S A. 2022 May 3;119(18):e2021860119 [PMID: 35486689]
  23. Proc Natl Acad Sci U S A. 2014 Dec 23;111(51):18195-200 [PMID: 25489097]
  24. Netw Neurosci. 2020 Dec 01;4(4):1181-1196 [PMID: 33409435]
  25. Behav Brain Sci. 2020 Dec 02;44:e123 [PMID: 33261698]
  26. Am J Primatol. 2002 Oct;58(2):57-69 [PMID: 12386914]
  27. Philos Trans R Soc Lond B Biol Sci. 2021 Mar;376(1819):20190664 [PMID: 33423634]
  28. Proc Natl Acad Sci U S A. 2019 Dec 26;116(52):26297-26304 [PMID: 31871181]
  29. J Anim Ecol. 2022 Jul;91(7):1334-1344 [PMID: 35388473]
  30. Front Behav Neurosci. 2021 Aug 26;15:721069 [PMID: 34512289]
  31. Proc Natl Acad Sci U S A. 2019 Dec 26;116(52):26288-26296 [PMID: 31871143]
  32. Am J Primatol. 2022 Oct;84(10):e23348 [PMID: 34855257]
  33. Physiol Behav. 2011 Mar 1;102(3-4):347-55 [PMID: 21130103]
  34. Philos Trans R Soc Lond B Biol Sci. 2019 Feb 18;374(1766):20180139 [PMID: 30966922]
  35. Brain Neurosci Adv. 2018 Apr 13;2:2398212818766675 [PMID: 32166137]
  36. Behav Processes. 1991 Dec;25(2-3):95-102 [PMID: 24923969]
  37. Sci Adv. 2017 Jan 18;3(1):e1600946 [PMID: 28116351]
  38. Elife. 2021 Sep 02;10: [PMID: 34473051]
  39. Br J Anaesth. 2019 Aug;123(2):e263-e272 [PMID: 31053232]
  40. Can Vet J. 2003 Jun;44(6):496-9 [PMID: 12839246]
  41. Cogn Affect Behav Neurosci. 2022 Oct;22(5):952-968 [PMID: 35332510]
  42. Behav Res Methods. 2021 Jun;53(3):1003-1030 [PMID: 32935327]
  43. Sci Rep. 2019 Oct 21;9(1):15091 [PMID: 31636348]
  44. Pain. 1985 Apr;21(4):315-327 [PMID: 3923417]
  45. Physiol Behav. 2016 Mar 1;155:83-94 [PMID: 26657470]
  46. Eur J Neurosci. 2018 Apr;47(8):979-993 [PMID: 29431892]
  47. J Comp Psychol. 2023 May;137(2):129-143 [PMID: 37104768]
  48. J Anim Sci. 1991 Oct;69(10):4167-75 [PMID: 1778832]
  49. ILAR J. 2014;55(2):347-60 [PMID: 25225311]
  50. Neurosci Res. 2015 Apr;93:3-7 [PMID: 25264372]
  51. Lab Anim (NY). 2017 Mar 22;46(4):152-156 [PMID: 28328893]
  52. J Cogn. 2018 Feb 21;1(1):16 [PMID: 31517190]
  53. Nat Neurosci. 2020 Dec;23(12):1537-1549 [PMID: 33169033]
  54. Annu Rev Neurosci. 2020 Jul 8;43:249-275 [PMID: 32640928]
  55. Front Psychol. 2021 Jan 05;11:631238 [PMID: 33469440]
  56. Nat Commun. 2021 Aug 10;12(1):4830 [PMID: 34376663]
  57. Cognition. 2019 Aug;189:1-10 [PMID: 30889493]
  58. Neuron. 2021 Feb 3;109(3):420-437.e8 [PMID: 33340448]
  59. Nat Neurosci. 2020 Nov;23(11):1433-1443 [PMID: 32958923]
  60. Sci Adv. 2021 Nov 12;7(46):eabi4883 [PMID: 34767448]
  61. Zoo Biol. 2019 Mar;38(2):220-235 [PMID: 30480845]
  62. Nature. 2009 May 28;459(7246):492 [PMID: 19478751]
  63. BMC Biol. 2018 Feb 23;16(1):23 [PMID: 29475451]
  64. Nat Methods. 2018 Jul;15(7):479 [PMID: 29967509]
  65. Neuron. 2020 Oct 14;108(1):44-65 [PMID: 33058765]
  66. PLoS Biol. 2015 Jun 18;13(6):e1002173 [PMID: 26086735]
  67. Animals (Basel). 2020 Dec 07;10(12): [PMID: 33297457]
  68. Proc Natl Acad Sci U S A. 2019 Dec 26;116(52):26167-26172 [PMID: 31871205]
  69. Comp Med. 2014 Jun;64(3):193-9 [PMID: 24956211]
  70. Neuron. 2019 Oct 9;104(1):11-24 [PMID: 31600508]
  71. Behav Neurosci. 2020 Aug;134(4):296-308 [PMID: 32658523]
  72. Proc Natl Acad Sci U S A. 2019 Dec 26;116(52):26280-26287 [PMID: 31871177]
  73. J Neurophysiol. 2016 Mar;115(3):1098-111 [PMID: 26631146]
  74. Nat Commun. 2022 Feb 9;13(1):792 [PMID: 35140206]
  75. ILAR J. 2000;41(2):62-71 [PMID: 11304586]
  76. R Soc Open Sci. 2017 Jan 25;4(1):160816 [PMID: 28280584]
  77. Nat Commun. 2023 Apr 26;14(1):2408 [PMID: 37100774]
  78. PLoS Biol. 2020 Nov 30;18(11):e3000951 [PMID: 33253163]
  79. Cognition. 2014 Mar;130(3):289-99 [PMID: 24374208]

Grants

  1. P30 DA048742/NIDA NIH HHS
  2. R01 MH125377/NIMH NIH HHS
  3. R01 MH128177/NIMH NIH HHS

Word Cloud

Created with Highcharts 10.0.0animalwelfaresystemsresearchgreatpromisebenefitscaptivepopulationstrackingbehavioralRecentyearswitnessedmajoradvancesabilitycomputerizedtrackpositionsanimalsmovelargeunconstrainedenvironmentsfarboonfieldsprimatologypsychologyneurosciencebiomedicinediscusstechnologiespotentialincludeidentifyingreducingpainsufferingdistressimprovinglaboratorywithincontextthreeRsreductionrefinementreplacementapplyingunderstandingbehaviorincrease"natural"behaviorswildfacinghumanimpactchallengesnoteoftenincidentaldesignedpurposereflectionfactinimicalprogressinsteadalignedinterestsbasicholdimprovementswell-beingPromiseBehavioralTrackingSystemsAdvancingPrimateAnimalWelfareimagingbigdatadeeplearningprimatesrhesusmacaque

Similar Articles

Cited By