Quantitative video-based gait pattern analysis for hemiparkinsonian rats

Hsiao Yu Lee, Tsung Hsun Hsieh, Jen I. Liang, Ming-Long Yeh, Jia-Jin Chen

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Gait disturbances are common in the rat model of Parkinson's disease (PD) by administrating 6-hydroxy-dopamine. However, few studies have simultaneously assessed spatiotemporal gait indices and the kinematic information of PD rats during overground locomotion. This study utilized a simple, accurate, and reproducible method for quantifying the spatiotemporal and kinematic changes of gait patterns in hemiparkinsonian rats. A transparent walkway with a tilted mirror was set to capture underview footprints and lateral joint ankle images using a high-speed and high-resolution digital camera. The footprint images were semi-automatically processed with a threshold setting to identify the boundaries of soles and the critical points of each hindlimb for deriving the spatiotemporal and kinematic indices of gait. Following PD lesion, asymmetrical gait patterns including a significant decrease in the step/stride length and increases in the base of support and ankle joint angle were found. The increased footprint length, toe spread, and intermediary toe spread were found, indicating a compensatory gait pattern for impaired locomotor function. The temporal indices showed a significant decrease in the walking speed with increased durations of the stance/swing phase and double support time, which was more evident in the affected hindlimb. Furthermore, the ankle kinematic data showed that the joint angle decreased at the toe contact stage. We conclude that the proposed gait analysis method can be used to precisely detect locomotor function changes in PD rats, which is useful for objective assessments of investigating novel treatments for PD animal model.

Original languageEnglish
Pages (from-to)937-946
Number of pages10
JournalMedical and Biological Engineering and Computing
Volume50
Issue number9
DOIs
Publication statusPublished - 2012 Sep 1

Fingerprint

Gait
Rats
Kinematics
Parkinson Disease
Biomechanical Phenomena
Toes
Ankle Joint
Hindlimb
Gait analysis
Digital cameras
Mirrors
Animals
Locomotion
Ankle
Dopamine
Animal Models
Joints

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Computer Science Applications

Cite this

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abstract = "Gait disturbances are common in the rat model of Parkinson's disease (PD) by administrating 6-hydroxy-dopamine. However, few studies have simultaneously assessed spatiotemporal gait indices and the kinematic information of PD rats during overground locomotion. This study utilized a simple, accurate, and reproducible method for quantifying the spatiotemporal and kinematic changes of gait patterns in hemiparkinsonian rats. A transparent walkway with a tilted mirror was set to capture underview footprints and lateral joint ankle images using a high-speed and high-resolution digital camera. The footprint images were semi-automatically processed with a threshold setting to identify the boundaries of soles and the critical points of each hindlimb for deriving the spatiotemporal and kinematic indices of gait. Following PD lesion, asymmetrical gait patterns including a significant decrease in the step/stride length and increases in the base of support and ankle joint angle were found. The increased footprint length, toe spread, and intermediary toe spread were found, indicating a compensatory gait pattern for impaired locomotor function. The temporal indices showed a significant decrease in the walking speed with increased durations of the stance/swing phase and double support time, which was more evident in the affected hindlimb. Furthermore, the ankle kinematic data showed that the joint angle decreased at the toe contact stage. We conclude that the proposed gait analysis method can be used to precisely detect locomotor function changes in PD rats, which is useful for objective assessments of investigating novel treatments for PD animal model.",
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Quantitative video-based gait pattern analysis for hemiparkinsonian rats. / Lee, Hsiao Yu; Hsieh, Tsung Hsun; Liang, Jen I.; Yeh, Ming-Long; Chen, Jia-Jin.

In: Medical and Biological Engineering and Computing, Vol. 50, No. 9, 01.09.2012, p. 937-946.

Research output: Contribution to journalArticle

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