2016/6/241 The Quantitative Assessment System of Animal Behavior based on Image Technology (Part 1) Presenter: Min-Ji Jan Adviser: Dr. Pei-Jarn Chen Date:

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2016/6/241 The Quantitative Assessment System of Animal Behavior based on Image Technology (Part 1) Presenter: Min-Ji Jan Adviser: Dr. Pei-Jarn Chen Date: 2010/11/24 以影像技術為基礎之動物行為量化評估系統 (Part1)

2016/6/242 Outline Introduction Purpose Papers Review Materials and Methods Preliminary Results Discussion Future works References

2016/6/243 Introduction(1/5) Experimental studies of pharmacology, neuropathology and pathophysiology commonly measure the motor function of rats. The behavioural performance can be used as an index for neural disease process or therapy efficiency. Ming-Wen Chang, Ming-Shing Young, and Mao-Tsun Lin, “An inclined plane system with microcontroller to determine limb motor function of laboratory animals” Journal of Neuroscience Methods., 168: 186–194, 2008.

2016/6/244 Introduction(2/5) Selection of an assessment technique to measure nerve regeneration is critical to any scientific study of nerve injury and repair. Morphometric and electrophysiologic assessments are used universally in neuroregeneration experiments. Morphometric: 形態測定 Electrophysiologic: 電生理學 Neuroregeneration: 神經退化

2016/6/245 Introduction(3/5) Methods for behavioral testing of spinal cord injured rats contain:  Locomotor tests.  Primary open-field tests.  BBB test.  Automated walkway test.  Footprint analysis test.  Swim tests.  Inclined plane. Sedý J, Urdzíková L, Jendelová P, and Syková E, “Methods for behavioral testing of spinal cord injured rats”, Neuroscience and Biobehavioral Reviews., 32: 550–580, 2008.

2016/6/246 Introduction(4/5) BBB Score  It is probably the most commonly used test of locomotor function in spinal cord injured rats worldwide (Basso et al., 1995).  The BBB is a semiquantitative scale based on locomotor response of rats that can take on values ranging from zero to 21.

2016/6/247 Introduction(5/5) BBB Score  It is a modified open-field test, based on grading hindlimb locomotion from 0 to 21. Scores from 0 to 7 (the hip, the knee and the ankle joints). Scores from 8 to 13 (the paw placement and coordinated movements with the forelimbs). Scores from 14 to 21 (toe clearance during stepping, predominant paw position, trunk stability and tail position).

2016/6/248 Purpose(1/2) Investigating the quantitative assessment of animal behavior using the Image Technology. Demonstrate that digital video motion analysis is a  quantitative  valid method for evaluation of function in the rats with spinal cord injury.

2016/6/249 Purpose(2/2) The developed animal behavior assessment system based on image technology could be extended for use as an animal experiment. Focus of this study is to quantitative analysis of motor behavior in experimental animals, as quantified Experimental animals BBB score method.

2016/6/2410 Sedý J, Urdzíková L, Jendelová P, and Syková E, “Methods for behavioral testing of spinal cord injured rats”, Neuroscience and Biobehavioral Reviews., 32: 550–580, Yuan-Hsing Shih, and Ming-Shing Young, “Integrated digital image and accelerometer measurements of Rat locomotor and vibratory behavior” Journal of Neuroscience Methods., 166: 81–88, Ming-Wen Chang, Ming-Shing Young, and Mao-Tsun Lin, “An inclined plane system with microcontroller to determine limb motor function of laboratory animals” Journal of Neuroscience Methods., 168: 186–194, Ming-Wen Chang, Ching-Ping Chang, Ying-Chieh Weia, Shang-You Hou,Ming-Shing Young, and Mao-Tsun Lin, “A force plate measurement system to assess hindlimb weight support of spinal cord injured rats” Journal of Neuroscience Methods., 189: 130–137, Yojiro Sakiyama, Tetsujo Sujaku, and Akihiro Furuta, “A novel automated method for measuring the effect of analgesics on formalin-evoked licking behavior in rats” Journal of Neuroscience Methods., 167: 167–175, HuanWang, Robert J. Spinner, EricJ. Sorenson, and Anthony J.Windebank, “Measurement of forelimb function by digital video motion analysis in rat nerve transection models” Journal of the Peripheral Nervous System., 13: 92–102, References