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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: Pukale, Dipak D., Farrag, Mahmoud, Leipzig, Nic D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584658/
https://www.ncbi.nlm.nih.gov/pubmed/34762669
http://dx.doi.org/10.1371/journal.pone.0252559
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author Pukale, Dipak D.
Farrag, Mahmoud
Leipzig, Nic D.
author_facet Pukale, Dipak D.
Farrag, Mahmoud
Leipzig, Nic D.
author_sort Pukale, Dipak D.
collection PubMed
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.
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spelling pubmed-85846582021-11-12 Detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique Pukale, Dipak D. Farrag, Mahmoud Leipzig, Nic D. PLoS One Research Article 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. Public Library of Science 2021-11-11 /pmc/articles/PMC8584658/ /pubmed/34762669 http://dx.doi.org/10.1371/journal.pone.0252559 Text en © 2021 Pukale et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Pukale, Dipak D.
Farrag, Mahmoud
Leipzig, Nic D.
Detection of locomotion deficit in a post-traumatic syringomyelia rat model using automated gait analysis technique
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8584658/
https://www.ncbi.nlm.nih.gov/pubmed/34762669
http://dx.doi.org/10.1371/journal.pone.0252559
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