Neurospine.
2019 Jun;16(2):305-316. 10.14245/ns.1836080.040.
Effective Parameters for Gait Analysis in Experimental Models for Evaluating Peripheral Nerve Injuries in Rats
- Affiliations
-
- 1Department of Surgery and Anatomy, Ribeirão Preto Medical School of the University of São Paulo, Ribeirão Preto, Brazil.
- 2Department of Pharmacology, Ribeirão Preto Medical School of the University of São Paulo, Ribeirão Preto, Brazil.
- 3Department of Neuroscience and Behavioural Sciences, Neurology Division, Ribeirão Preto Medical School of the University of São Paulo, Ribeirão Preto, Brazil.
- 4Department of Psychology, School of Philosophy, Science and Literature of Ribeirão Preto of the University of São Paulo, Ribeirão Preto, Brazil.
- 5Biomedical Sciences Institute, Federal University of Alfenas (UNIFAL-MG), Str. Gabriel Monteiro da Silva, Minas Gerais, Brazil.
- 6Center of Imaging Sciences and Medical Physics, Ribeirão Preto Medical School of the University of São Paulo, Ribeirão Preto, Brazil. rafaelmenezesreis@gmail.com
- 7Department of Biomechanics, Medicine, and Rehabilitation of Locomotor Apparatus, Ribeirão Preto Medical School of the University of São Paulo, Ribeirão Preto, Brazil.
- KMID: 2452670
- DOI: http://doi.org/10.14245/ns.1836080.040
Abstract
OBJECTIVE
Chronic constriction injury (CCI) of the sciatic nerve is a peripheral nerve injury widely used to induce mononeuropathy. This study used machine learning methods to identify the best gait analysis parameters for evaluating peripheral nerve injuries.
METHODS
Twenty-eight male Wistar rats (weighing 270±10 g), were used in the present study and divided into the following 4 groups: CCI with 4 ligatures around the sciatic nerve (CCI-4L; n=7), a modified CCI model with 1 ligature (CCI-1L; n=7), a sham group (n=7), and a healthy control group (n=7). All rats underwent gait analysis 7 and 28 days postinjury. The data were evaluated using Kinovea and WeKa software (machine learning and neural networks).
RESULTS
In the machine learning analysis of the experimental groups, the pre-swing (PS) angle showed the highest ranking in all 3 analyses (sensitivity, specificity, and area under the receiver operating characteristics curve using the Naive Bayes, k-nearest neighbors, radial basis function classifiers). Initial contact (IC), step length, and stride length also performed well. Between 7 and 28 days after injury, there was an increase in the total course time, step length, stride length, stride speed, and IC, and a reduction in PS and IC-PS. Statistically significant differences were found between the control group and experimental groups for all parameters except speed. Interactions between time after injury and nerve injury type were only observed for IC, PS, and IC-PS.
CONCLUSION
PS angle of the ankle was the best gait parameter for differentiating nonlesions from nerve injuries and different levels of injury.
Keyword
- Full Text Links
-
- Actions
-
Cited
- CITED
-
- Close
- Share
-
- Similar articles
-
- Comparative study of repair methods in peripheral nerve injury: An experimental study in sciatic nerve of rats
- Effects of Herbal Bath "HAC" on Functional Recovery and c-Fos Expression in the Ventrolateral Periaqueductal Gray Region after Sciatic Crushed Nerve Injury in Rats
- The Restorative Effect of Gallic Acid on the Experimental Sciatic Nerve Damage Model
- Noninvasive Repeatable Motor and Sensory Nerve Conduction Studies of Rat Peripheral Nerves
- Sciatic neurotmesis and periostitis ossificans progressiva due to a traumatic/unexpected glass injury: a case report
