Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease.
| Autor: | Pimentel JM; Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom., Moioli RC; Bioinformatics Multidisciplinary Environment, Digital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, Brazil., de Araujo MFP; CCS, Federal University of Espírito Santo, Vitória, Brazil., Ranieri CM; ICMC, University of São Paulo, São Paulo, Brazil., Romero RAF; ICMC, University of São Paulo, São Paulo, Brazil., Broz F; Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom., Vargas PA; Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, United Kingdom. |
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| Jazyk: | angličtina |
| Zdroj: | Frontiers in neurorobotics [Front Neurorobot] 2021 Jul 01; Vol. 15, pp. 640449. Date of Electronic Publication: 2021 Jul 01 (Print Publication: 2021). |
| DOI: | 10.3389/fnbot.2021.640449 |
| Abstrakt: | In this work, we present the first steps toward the creation of a new neurorobotics model of Parkinson's Disease (PD) that embeds, for the first time in a real robot, a well-established computational model of PD. PD mostly affects the modulation of movement in humans. The number of people suffering from this neurodegenerative disease is set to double in the next 15 years and there is still no cure. With the new model we were capable to further explore the dynamics of the disease using a humanoid robot. Results show that the embedded model under both conditions, healthy and parkinsonian , was capable of performing a simple behavioural task with different levels of motor disturbance. We believe that this neurorobotics model is a stepping stone to the development of more sophisticated models that could eventually test and inform new PD therapies and help to reduce and replace animals in research. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2021 Pimentel, Moioli, de Araujo, Ranieri, Romero, Broz and Vargas.) |
| Databáze: | MEDLINE |
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