Detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique.

Syringomyelia (SM) is a spinal cord disorder in which a cyst (syrinx) filled with fluid forms in the spinal cord post-injury/disease, in patients syrinx symptoms include loss of pain and temperature sensation or locomotion deficit. Currently, there are no small animal models and connected tools to h...

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Autores principales:	Dipak D Pukale, Mahmoud Farrag, Nic D Leipzig
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/232181792c104f7ebd00c91e484f31b0
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spelling	oai:doaj.org-article:232181792c104f7ebd00c91e484f31b02021-12-02T20:07:38ZDetection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique.1932-620310.1371/journal.pone.0252559https://doaj.org/article/232181792c104f7ebd00c91e484f31b02021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252559https://doaj.org/toc/1932-6203Syringomyelia (SM) is a spinal cord disorder in which a cyst (syrinx) filled with fluid forms in the spinal cord post-injury/disease, in patients syrinx symptoms include loss of pain and temperature sensation or locomotion deficit. Currently, there are no small animal models and connected tools to help study the functional impacts of SM. The objective of this study was to determine the detectability of subtle locomotion deficits due to syrinx formation/expansion in post-traumatic syringomyelia (PTSM) rat model using the recently reported method of Gait Analysis Instrumentation, and Technology Optimized for Rodents (GAITOR) with Automated Gait Analysis Through Hues and Areas (AGATHA) technique. First videos of the rats were collected while walking in an arena (using GAITOR) followed by extracting meaningful locomotion information from collected videos using AGATHA protocol. PTSM injured rats demonstrated detectable locomotion deficits in terms of duty factor imbalance, paw placement accuracy, step contact width, stride length, and phase dispersion parameters compared to uninjured rats due to SM. We concluded that this technique could detect mild and subtle locomotion deficits associated with PTSM injury, which also in future work could be used further to monitor locomotion responses after different treatment strategies for SM.Dipak D PukaleMahmoud FarragNic D LeipzigPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0252559 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dipak D Pukale Mahmoud Farrag Nic D Leipzig Detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique.
description	Syringomyelia (SM) is a spinal cord disorder in which a cyst (syrinx) filled with fluid forms in the spinal cord post-injury/disease, in patients syrinx symptoms include loss of pain and temperature sensation or locomotion deficit. Currently, there are no small animal models and connected tools to help study the functional impacts of SM. The objective of this study was to determine the detectability of subtle locomotion deficits due to syrinx formation/expansion in post-traumatic syringomyelia (PTSM) rat model using the recently reported method of Gait Analysis Instrumentation, and Technology Optimized for Rodents (GAITOR) with Automated Gait Analysis Through Hues and Areas (AGATHA) technique. First videos of the rats were collected while walking in an arena (using GAITOR) followed by extracting meaningful locomotion information from collected videos using AGATHA protocol. PTSM injured rats demonstrated detectable locomotion deficits in terms of duty factor imbalance, paw placement accuracy, step contact width, stride length, and phase dispersion parameters compared to uninjured rats due to SM. We concluded that this technique could detect mild and subtle locomotion deficits associated with PTSM injury, which also in future work could be used further to monitor locomotion responses after different treatment strategies for SM.
format	article
author	Dipak D Pukale Mahmoud Farrag Nic D Leipzig
author_facet	Dipak D Pukale Mahmoud Farrag Nic D Leipzig
author_sort	Dipak D Pukale
title	Detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique.
title_short	Detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique.
title_full	Detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique.
title_fullStr	Detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique.
title_full_unstemmed	Detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique.
title_sort	detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/232181792c104f7ebd00c91e484f31b0
work_keys_str_mv	AT dipakdpukale detectionoflocomotiondeficitinaposttraumaticsyringomyeliaratmodelusingautomatedgaitanalysistechnique AT mahmoudfarrag detectionoflocomotiondeficitinaposttraumaticsyringomyeliaratmodelusingautomatedgaitanalysistechnique AT nicdleipzig detectionoflocomotiondeficitinaposttraumaticsyringomyeliaratmodelusingautomatedgaitanalysistechnique
_version_	1718375228815441920

Detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique.

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