Semi-Automated Tracking of Vibrissal Movements in Free-Moving Rodents Captured by High-Speed Videos
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33090
Semi-Automated Tracking of Vibrissal Movements in Free-Moving Rodents Captured by High-Speed Videos

Authors: Hyun June Kim, Tailong Shi, Seden Akdagli, Sam Most, Yuling Yan

Abstract:

Quantitative analyses of whisker movements provide a means to study functional recovery and regeneration of mouse facial nerve after an injury. However, accurate tracking of the mouse whisker movement is challenging. Most methods for whisker tracking require manual intervention, e.g. fixing the head of the mouse during a study. Here we describe a semi-automated image processing method, which is applied to high-speed video recordings of free-moving mice to track the whisker movements. We first track the head movement of a mouse by delineating the lower head contour frame-by-frame that allows for detection of the location and orientation of the head. Then, a region of interest is identified for each frame; the subsequent application of a mask and the Hough transform detects the selected whiskers on each side of the head. Our approach is used to examine the functional recovery of damaged facial nerves in mice over a course of 21 days.

Keywords: Mystacial macrovibrissae, whisker tracking, head tracking, facial nerve recovery.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1106865

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1685

References:


[1] S. B. Mehta, D. Whitmer, R. Figueroa, B. A. Williams, and D. Kleinfeld, “Active spatial perception in the vibrissa scanning sensorimotor system,” PLoS biology, vol. 5, no. 2, e15, Jan. 2007.
[2] B. Mitchinson, et al., “Active vibrissal sensing in rodents and marsupials,” Philosophical Transactions of the Royal Society B: Biological Sciences vol. 366, no. 1581, pp. 3037-3048, Oct. 2011.
[3] M. Brecht, B. Preilowski, and M. M. Merzenich, “Functional architecture of the mystacial vibrissae,” Behav. Brain Res. Vol. 84, no. 1-2, pp. 81–97, March 1997.
[4] G. E. Carvell, D. J. Simons, “Biometric analyses of vibrissal tactile discrimination in the rat,” J Neurosci, vol. 10, no. 8, pp. 2638–2648, Aug. 1990.
[5] T. Prigg, D. Goldreich, G. E. Carvell, and D. J. Simons, “Texture discrimination and unit recordings in the rat whisker/barrel system,” Physiol. Behav., vol. 77, no. 4-5, pp. 671–675, Dec. 2002.
[6] S. P. Most, “Facial Nerve Recovery in bcl2 Overexpression Mice After Crush Injury,” Arch Facial Plast Surg., vol. 6, no. 2, pp. 82-87, March 2004.
[7] D. M. Lieberman, T. A. Jan, S. O. Ahmad, S. P. Most, “Effects of Corticosteroids on Functional Recovery and Neuron Survival After Facial Nerve Injury in Mice,” Arch Facial Plast Surg., vol. 13, no. 2, pp. 117-124, March 2011.
[8] R. W. Lindsay, J. T. Heaton, C. Edwards, C. Smitson, T. A. Hadlock, “Nimodipine Accelerates Functional Recovery of the Facial Nerve after Crush Injury,” Arch Facial Plast Surg., vol. 12, no. 1, pp. 49-52, Jan/Feb. 2010.
[9] N. G. Clack, et al., “Automated tracking of whiskers in videos of head fixed rodents,” PLoS computational biology, vol.8, no. 7, e1002591, July 2012.
[10] J. T. Ritt, M. L. Andermann, and C. I. Moore, “Embodied information processing: Vibrissa mechanics and texture features shape micromotions in actively sensing rats,” Neuron, vol. 57, no. 4, pp.599–613, Feb. 2008.
[11] D. H. O’Connor, et al. “Vibrissa-based object localization in head-fixed mice,” J Neurosci., vol. 30, no. 5, pp. 1947–1967, Feb. 2010.
[12] T. Hadlock, J. Kowaleski, S. Mackinnon, J.T. Heaton, “A novel method of head fixation for the study of rodent facial function,” Exp Neurol., vol. 205, no. 1, pp. 279-282, May 2007.
[13] T. Hadlock, et al., “Functional Assessments of the Rodent Facial Nerve: A Synkinesis Model,” The Laryngoscope, vol. 118, no. 10, pp. 1744-1749, Oct. 2008.
[14] T. Hadlock, et al., “The Effect of Electrical and Mechanical stimulation on the Regenerating Rodent Facial Nerve,” The Laryngoscope, vol. 120, no. 6, pp. 1094-1102, June 2010.
[15] J. T. Heaton, et al., “A system for studying facial nerve function in rats through simultaneous bilateral monitoring of eyelid and whisker movements,” Journal of neuroscience methods, vol. 171, no. 2, pp. 197-206, June 2008.
[16] S. Venkatraman, K. Elkabany, J. D. Long, Y. Yao, J. M. Carmena, “A system for Neural Recording and Closed-Loop Intracortical Microstimulation in Awake Rodents,” IEEE Transactions on Biomedical Engineering, vol. 56, no. 1, pp. 15-22, Jan. 2009
[17] S. Roy, J. L. Bryant, Y. Cao, D. H. Heck, “High-precision, three dimensional tracking of mouse whisker movements with optical motion capture technology,” Front Behav. Neurosci., vol. 5, no. 27, pp. 1-6, June 2011.
[18] P. M. Knutsen, D. Derdikman, and E. Ahissar, “Tracking whisker and head movements in unrestrained behaving rodents,” Journal of neurophysiology, vol. 93, no. 4, pp. 2294-2301, April 2005.
[19] G. Gyory, et al., “An algorithm for automatic tracking of rat whiskers (Published Conference Proceedings style),” in Proc. International Workshop on Visual Observation and Analysis of Animal and Insect Behavior (VAIB), in conjunction with ICPR, Istanbul, 2010, pp.1-4.
[20] I. Perkson, A. Kosir, P. M. Itskov, J. Tasic, and M. E. Diamondg, “Unsupervised quantification of whisking and head movement in freely moving rodents,” Journal of Neurophysiology, vol. 105, no. 4, pp.1950-1962, April 2011.
[21] J. Voigts, B. Sakmann, T. Celikel, “Unsupervised Whisker Tracking in Unrestrained Behaving Animals,” Journal of Neurophysiology, vol. 100, no. 1, pp.504-515, July 2008.
[22] N. Otsu, “A threshold selection method from gray-level histograms,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 9, no. 1, pp. 62-66, Jan. 1975.
[23] T. Shi, G. Ling, and Y. Yan, “Tracing Vocal-fold Vibrations Using Level-set Segmentation Method. (Published Conference Proceedings style),” in Proc. 3rd International Conference on Computational and Mathematical Biomedical Engineering, Hong Kong, 2013, pp. 63-66.
[24] R. O. Duda, and P. E. Hart, “Use of the Hough transformation to detect lines and curves in pictures.” Communications of the ACM, vol. 15, no. 1 pp. 11-15, Jan. 1972.