Decoding bipedal locomotion from the rat sensorimotor cortex
| Autor: | Grégoire Courtine, Nadia Dominici, R. van den Brand, Jack DiGiovanna, Lucia Friedli, Jacopo Rigosa, Silvestro Micera, Jacopo Carpaneto, Alessandro Panarese |
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| Přispěvatelé: | Coordination Dynamics, Movement Behavior, Research Institute MOVE |
| Rok vydání: | 2015 |
| Předmět: |
decoding
Neuroprosthetics Biomedical Engineering Kinematics Hindlimb Electroencephalography Sensitivity and Specificity support vector machines Pattern Recognition Automated bipedal locomotion Cellular and Molecular Neuroscience Gait (human) Evoked Potentials Somatosensory medicine Animals rat brain-machine interfaces Treadmill Gait sensorimotor cortex neural prosthetics medicine.diagnostic_test Medicine (all) Reproducibility of Results Evoked Potentials Motor Rats medicine.anatomical_structure Rats Inbred Lew brain – machine interfaces Female decoding bipedal locomotion rat sensorimotor cortex neural prosthetics brain – machine interfaces support vector machines Forelimb Psychology Neuroscience Algorithms Locomotion Motor cortex |
| Zdroj: | Rigosa, J, Panarese, A, Dominici, N, Friedli, L, van den Brand, R, Carpaneto, J, DiGiovanna, J, Courtine, G & Micera, S 2015, ' Decoding bipedal locomotion from the rat sensorimotor cortex ', Journal of Neural Engineering, vol. 12, no. 5 . https://doi.org/10.1088/1741-2560/12/5/056014 Journal of Neural Engineering, 12(5). IOP Publishing Ltd. |
| ISSN: | 1741-2552 1741-2560 |
| DOI: | 10.1088/1741-2560/12/5/056014 |
| Popis: | Objective. Decoding forelimb movements from the firing activity of cortical neurons has been interfaced with robotic and prosthetic systems to replace lost upper limb functions in humans. Despite the potential of this approach to improve locomotion and facilitate gait rehabilitation, decoding lower limb movement from the motor cortex has received comparatively little attention. Here, we performed experiments to identify the type and amount of information that can be decoded from neuronal ensemble activity in the hindlimb area of the rat motor cortex during bipedal locomotor tasks. Approach. Rats were trained to stand, step on a treadmill, walk overground and climb staircases in a bipedal posture. To impose this gait, the rats were secured in a robotic interface that provided support against the direction of gravity and in the mediolateral direction, but behaved transparently in the forward direction. After completion of training, rats were chronically implanted with a micro-wire array spanning the left hindlimb motor cortex to record single and multi-unit activity, and bipolar electrodes into 10 muscles of the right hindlimb to monitor electromyographic signals. Whole-body kinematics, muscle activity, and neural signals were simultaneously recorded during execution of the trained tasks over multiple days of testing. Hindlimb kinematics, muscle activity, gait phases, and locomotor tasks were decoded using offline classification algorithms. Main results. We found that the stance and swing phases of gait and the locomotor tasks were detected with accuracies as robust as 90% in all rats. Decoded hindlimb kinematics and muscle activity exhibited a larger variability across rats and tasks. Significance. Our study shows that the rodent motor cortex contains useful information for lower limb neuroprosthetic development. However, brain-machine interfaces estimating gait phases or locomotor behaviors, instead of continuous variables such as limb joint positions or speeds, are likely to provide more robust control strategies for the design of such neuroprostheses. |
| Databáze: | OpenAIRE |
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