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An experimental pipeline to quantitatively describe the locomotor pattern of freely walking mice using the MouseWalker (MW) toolbox is provided, ranging from initial video recordings and tracking to post-quantification analysis. A spinal cord contusion injury model in mice is employed to demonstrate the usefulness of the MW system.
The execution of complex and highly coordinated motor programs, such as walking and running, is dependent on the rhythmic activation of spinal and supra-spinal circuits. After a thoracic spinal cord injury, communication with upstream circuits is impaired. This, in turn, leads to a loss of coordination, with limited recovery potential. Hence, to better evaluate the degree of recovery after the administration of drugs or therapies, there is a necessity for new, more detailed, and accurate tools to quantify gait, limb coordination, and other fine aspects of locomotor behavior in animal models of spinal cord injury. Several assays have been developed over the years to quantitatively assess free-walking behavior in rodents; however, they usually lack direct measurements related to stepping gait strategies, footprint patterns, and coordination. To address these shortcomings, an updated version of the MouseWalker, which combines a frustrated total internal reflection (fTIR) walkway with tracking and quantification software, is provided. This open-source system has been adapted to extract several graphical outputs and kinematic parameters, and a set of post-quantification tools can be to analyze the output data provided. This manuscript also demonstrates how this method, allied with already established behavioral tests, quantitatively describes locomotor deficits following spinal cord injury.
The effective coordination of four limbs is not unique to quadruped animals. Forelimb-hindlimb coordination in humans remains important to accomplish several tasks, such as swimming and alterations of speed while walking1. Various limb kinematic2 and motor program1,3,4, as well as proprioceptive feedback circuits5, are conserved between humans and other mammals and should be considered when analyzing therapeutic options for motor disorders, such as spinal cord injury (SCI)6
All handling, surgical, and post-operative care procedures were approved by Instituto de Medicina Molecular Internal Committee (ORBEA) and the Portuguese Animal Ethics Committee (DGAV) in accordance with the European Community guidelines (Directive 2010/63/EU) and the Portuguese law on animal care (DL 113/2013) under the license 0421/000/000/2022. Female C57Bl/6J mice aged 9 weeks were used for the present study. All efforts were made to minimize the number of animals and to decrease the suffering of the animals used in .......
The standard BMS system describes the gross motor deficits after SCI14. Due to its subjective nature, other quantitative assays are generally performed alongside the BMS to produce a more detailed and fine assessment of locomotion. However, these tests fail to show specific information about step cycles, stepping patterns, and forelimb-hindlimb coordination, which is extremely important in understanding how the spinal circuitry maintains function and adapts to an incomplete SCI. This section shows.......
Here, the potential of the MouseWalker method is demonstrated by analyzing locomotor behavior after SCI. It provides new insights into specific alterations in stepping, footprint, and gait patterns that would otherwise be missed by other standard tests. In addition to providing an updated version of the MW package, data analysis tools are also described using the supplied Python scripts (see step 5).
As the MW generates a large dataset and a collection of kinematic parameters that reflect a hi.......
The authors thank Laura Tucker and Natasa Loncarevic for their comments on the manuscript and the support given by the Rodent Facility of the Instituto de Medicina Molecular João Lobo Antunes. The authors want to acknowledge financial support from Prémios Santa Casa Neurociências - Prize Melo e Castro for Spinal Cord Injury Research (MC-36/2020) to L.S. and C.S.M. This work was supported by Fundação para a Ciência e a Tecnologia (FCT) (PTDC/BIA-COM/0151/2020), iNOVA4Health (UIDB/04462/2020 and UIDP/04462/2020), and LS4FUTURE (LA/P/0087/2020) to C.S.M. L.S. was supported by a CEEC Individual Principal Investigator contract (2021.02253.CEEC....
Name | Company | Catalog Number | Comments |
45º Mirror | |||
2 aluminum extrusion (2 x 2 cm), 16 cm height, 1 on each side | Misumi | ||
2 aluminum extrusion (2 x 2 cm), 23 cm, @ 45° , 1 on each side | Misumi | ||
1 aluminum extrusion (2 x 2 cm), 83 cm long | Misumi | ||
87 x 23 cm mirror | General glass supplier | ||
black cardboard filler | General stationery supplier | We used 2, one with 69 x 6 cm and another with 69 x 3cm to limit the reflection on the mirror | |
Background backlight | |||
109 x 23 cm plexiglass (0.9525 cm thick) | General hardware supplier | ||
2 lateral aluminum extrusion (4 x 4 cm), 20 cm long, 1 on each side | Misumi | ||
multicolor LED strip | General hardware supplier | ||
white opaque paper to cover the plexyglass | General stationery supplier | ||
fTIR Support base and posts | |||
2 aluminum extrusion (4 x 4 cm), 100 cm height | Misumi | ||
60 x 30 cm metric breadboard | Edmund Optics | #54-641 | |
M6 12 mm screws | Edmund Optics | ||
M6 hex nuts and wahers | Edmund Optics | ||
fTIR Walkway | |||
109 x 8.5 cm plexyglass (1.2 cm thick) | General hardware supplier | 109 x 8.5 cm plexyglass (1.2 cm thick) | |
109 cm long Base-U-channel aluminum with 1.6 cm height x 1.9 cm depth thick folds (to hold the plexyglass) | General hardware supplier | ||
2 lateral aluminum extrusion (4 x 4 cm) 20 cm length, 1 on each side | Misumi | ||
black cardboard filler | General stationery supplier | we used 2 fillers on each side to cover the limits of the plexyglass, avoiding bright edges | |
12 mm screws | Edmund Optics | M6 | |
High speed camera (on a tripod) | |||
Blackfly S USB3 | Blackfly | USB3 | This is a reccomendation. The requirement is to record at least 100 frames per second |
Infinite Horizon Impactor | |||
Infinite Horizon Impactor | Precision Systems and Instrumentation, LLC. | ||
Lens | |||
Nikkon AF Zoom-Nikkor 24-85mm | Nikkon | 2.8-4D IF | This lens is reccomended, however other lens can be used. Make sure it contains a large aperture (i.e., smaller F-stop values), to capture fTIR signals |
Software | |||
MATLAB R2022b | MathWorks | ||
Python 3.9.13 | Python Software Foundation | ||
Anaconda Navigator 2.1.4 | Anaconda, Inc. | ||
Spyder 5.1.5 | Spyder Project Contributors | ||
Walkway wall | |||
2 large rectagular acrilics with 100 x 15 cm | Any bricolage convenience store | ||
2 Trapezian acrilic laterals with 6-10 length x 15 cm height | Any bricolage convenience store | ||
GitHub Materials | |||
Folder name | URL | ||
Boxplots | https://github.com/NeurogeneLocomotion/MouseWalker/tree/main/Boxplots | Script to create Boxplots | |
Docs | https://github.com/NeurogeneLocomotion/MouseWalker/tree/main/Docs | Additional documents | |
Heatmap | https://github.com/NeurogeneLocomotion/MouseWalker/tree/main/Heatmaps | Script to create heatmap | |
Matlat script | https://github.com/NeurogeneLocomotion/MouseWalker/tree/main/Matlab%20Script | MouseWalker matlab script | |
PCA | https://github.com/NeurogeneLocomotion/MouseWalker/tree/main/PCA%20plots | Script to perform Principal Component Analysis | |
Raw data Plots | https://github.com/NeurogeneLocomotion/MouseWalker/tree/main/Rawdata%20Plots | Script to create Raw data plots | |
Residual Analysis | https://github.com/NeurogeneLocomotion/MouseWalker/tree/main/Residual_Analysis | Code to compute residuals from Raw data |
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