SCORHE: A novel and practical approach to video monitoring of laboratory mice housed in vivarium cage racks

Behavior Research Methods

Volumn 47, Issue 1, 2015, Pages 235-250

  Salem, Ghadi H ^a   Dennis, John U ^b   Krynitsky, Jonathan ^a   Garmendia Cedillos, Marcial ^a   Swaroop, Kanchan ^a   Malley, James D ^a   Pajevic, Sinisa ^a   Abuhatzira, Liron ^c   Bustin, Michael ^c   Gillet, Jean Pierre ^c   Gottesman, Michael M ^c   Mitchell, James B ^c   Pohida, Thomas J ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b SAIC FREDERICK INC   (United States)

^c NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Home cage behavior; Mouse activity profiling; Mouse behavior; Video monitoring

Indexed keywords

HYPNOTIC SEDATIVE AGENT;

ADAPTIVE BEHAVIOR; ANIMAL; ANIMAL BEHAVIOR; ANIMAL HOUSING; ANIMAL MODEL; C57BL MOUSE; CIRCADIAN RHYTHM; COMPUTER AIDED DESIGN; DRUG EFFECTS; MOUSE; PROCEDURES; VIDEORECORDING;

ADAPTATION, PSYCHOLOGICAL; ANIMALS; BEHAVIOR, ANIMAL; CIRCADIAN RHYTHM; COMPUTER-AIDED DESIGN; HOUSING, ANIMAL; HYPNOTICS AND SEDATIVES; MICE; MICE, INBRED C57BL; MODELS, ANIMAL; VIDEO RECORDING;

EID: 84897357574     PISSN: 1554351X     EISSN: 15543528     Source Type: Journal    
DOI: 10.3758/s13428-014-0451-5     Document Type: Article

References (30)

1. Abuhatzira, L., Shamir, A., Schones, D. E., Schäffer, A. A., & Bustin, M. (2011). The chromatin-binding protein hmgn1 regulates the expression of methyl CpG-binding protein 2 (MECP2) and affects the behavior of mice. Journal of Biological Chemistry, 286, 42051–42062. doi:10.1074/jbc.M111.300541
2. Baker, M. (2011). Animal models: Inside the minds of mice and men. Nature, 475, 123–128. doi:10.1038/475123a
3. Branson, K. (2007). Tracking multiple mice through severe occlusions. Unpublished Ph.D. dissertation, University of California, San Diego, La Jolla, CA.
4. Branson, K., & Belongie, S. (2005, June). Tracking multiple mouse contours (without too many samples). Paper presented at the Computer Vision and Pattern Recognition Conference (CVPR 2005), San Diego, CA.
5. Chu, E. R., Kim, E. K., Gonzalez, J. M., Ko, M. H., Liew, E. C., & Tan, J. C. H. (2014). Intraocular pressure measurement in acepromazine-sedated mice. Clinical & Experimental Ophthalmology. doi:10.1111/ceo.12157
6. de Chaumont, F., Coura, R. D., Serreau, P., Cressant, A., Chabout, J., Granon, S., & Olivo-Marin, J. C. (2012). Computerized video analysis of social interactions in mice. Nature Methods, 9, 410–417. doi:10.1038/nmeth.1924
7. Edelman, N. (2011, September). Automated phenotyping of mouse social behavior. Unpublished Master's thesis, Massachusetts Institute of Technology, Cambridge, MA.
8. Farah, R., Langlois, J. M. P., & Bilodeau, G. (2012). Catching a rat by its edglets. IEEE Transactions on Image Processing, 22, 668–678. doi:10.1109/tip.2012.2221726
9. Forsyth, D., & Ponce, J. (2003). Computer vision: A modern approach. Upper Saddle River: Prentice Hall.
10. Gillet, J.-P., & Gottesman, M. M. (2011). [Unpublished data]. Bethesda, MD: National Institutes of Health.
11. Goulding, E. H., Schenk, A. K., Juneja, P., MacKay, A. W., Wade, J. M., & Tecott, L. H. (2008). A robust automated system elucidates mouse home cage behavioral structure. Proceedings of the National Academy of Sciences, 105, 20575–20582. doi:10.1073/pnas.0809053106
12. Jhuang, H., Garrote, E., Yu, X., Khilnani, V., Poggio, T., Steele, A. D., & Serre, T. (2010). Automated home-cage behavioural phenotyping of mice. Nature Communications, 1, 68. doi:10.1038/ncomms1064
13. Kelly, J., & Bianchi, M. (2012). Mammalian sleep genetics. Neurogenetics, 13, 287–326. doi:10.1007/s10048-012-0341-x
14. Krashes, M. J., Koda, S., Ye, C., Rogan, S. C., Adams, A. C., Cusher, D. S., & Lowell, B. B. (2011). Rapid, reversible activation of AgRP neurons drives feeding behavior in mice. Journal of Clinical Investigation, 121, 1424–1428. doi:10.1172/jci46229
15. Kravitz, A. V., Freeze, B. S., Parker, P. R. L., Kay, K., Thwin, M. T., Deisseroth, K., & Kreitzer, A. C. (2010). Regulation of parkinsonian motor behaviours by optogenetic control of basal ganglia circuitry. Nature, 466, 622–626. doi:10.1038/nature09159
16. Kumar, A., Vashist, A., Kumar, P., Kalonia, H., & Mishra, J. (2012). Potential role of licofelone, minocycline and their combination against chronic fatigue stress induced behavioral, biochemical and mitochondrial alterations in mice. Pharmacological Reports, 64, 1105–1115.
17. Malley, J. D., Malley, K. G., & Pajevic, S. (2011). Statistical learning for biomedical data. Cambridge, UK: Cambridge University Press.
18. Noldus, L. P. J. J., Spink, A. J., & Tegelenbosch, R. A. J. (2001). EthoVision: A versatile video tracking system for automation of behavioral experiments. Behavior Research Methods, Instruments, & Computers, 33, 398–414. doi:10.3758/BF03195394
19. Novak, C. M., Burghardt, P. R., & Levine, J. A. (2012). The use of a running wheel to measure activity in rodents: Relationship to energy balance, general activity, and reward. Neuroscience & Biobehavioral Reviews, 36, 1001–1014. doi:10.1016/j.neubiorev.2011.12.012
20. Ohayon, S., Avni, O., Taylor, A. L., Perona, P., & Roian Egnor, S. E. (2013). Automated multi-day tracking of marked mice for the analysis of social behaviour. Journal of Neuroscience Methods, 219, 10–19. doi:10.1016/j.jneumeth.2013.05.013
21. Portal, E., Riess, O., & Nguyen, H. P. (2013). Automated home cage assessment shows behavioral changes in a transgenic mouse model of spinocerebellar ataxia type 17. Behavioural Brain Research, 250, 157–165. doi:10.1016/j.bbr.2013.04.042
22. Schaefer, A. T., & Claridge-Chang, A. (2012). The surveillance state of behavioral automation. Current Opinion in Neurobiology, 22, 170–176. doi:10.1016/j.conb.2011.11.004
23. Spruijt, B. M., & DeVisser, L. (2006). Advanced behavioural screening: Automated home cage ethology. Drug Discovery Today: Technologies, 3, 231–237. doi:10.1016/j.ddtec.2006.06.010
24. Steele, A. D., Jackson, W. S., King, O. D., & Lindquist, S. (2007). The power of automated high-resolution behavior analysis revealed by its application to mouse models of Huntington’s and prion diseases. Proceedings of the National Academy of Sciences, 104, 1983–1988. doi:10.1073/pnas.0610779104
25. Weissbrod, A., Shapiro, A., Vasserman, G., Edry, L., Dayan, M., Yitzhaky, A., & Kimchi, T. (2013). Automated long-term tracking and social behavioural phenotyping of animal colonies within a semi-natural environment. Nature Communications, 4, 2018. doi:10.1038/ncomms3018
26. Zarringhalam, K., Ka, M. H., Kook, Y. H., Terranova, J. I., Suh, Y., King, O. D., & Um, M. (2012). An open system for automatic home-cage behavioral analysis and its application to male and female mouse models of Huntington’s disease. Behavioural Brain Research, 229, 216–225. doi:10.1016/j.bbr.2012.01.015
27. Zubidat, A. E., Nelson, R. J., & Haim, A. (2009). Photosensitivity to different light intensities in blind and sighted rodents. Journal of Experimental Biology, 212, 3857–3864. doi:10.1242/jeb.033969
28. Zubidat, A. E., Nelson, R. J., & Haim, A. (2010). Photoentrainment in blind and sighted rodent species: responses to photophase light with different wavelengths. The Journal of Experimental Biology, 213, 4213–4222. doi:10.1242/jeb.048629
29. Zurn, J. B., Hohmann, D., Dworkin, S. I., & Motai, Y. (2005, January). A real-time rodent tracking system for both light and dark cycle behavior analysis. Paper presented at the Seventh IEEE Workshop on Application of Computer Vision (WACV/MOTIONS’05), Breckenridge, CO.
30. Zurn, J. B., Xianhua, J., & Motai, Y. (2005, May). Video-based rodent activity measurement using near-infrared illumination. Paper presented at the IEEE Instrumentation and Measurement Technology Conference (IMTC 2005), Ottawa, ON, Canada.