@article{682763ddeeed4d278b8ccd34b6768d20,
title = "Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease",
abstract = "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.",
keywords = "Parkinson's disease, basal ganglia, motor control, motor cortex, neurorobotics, robot controller",
author = "Pimentel, {Jhielson M} and Moioli, {Renan C.} and {de Araujo}, {Mariana F. P.} and Ranieri, {Caetano M.} and Romero, {Roseli A. F.} and Frank Broz and Vargas, {Patricia A.}",
note = "Funding Information: This work was part of the Neuro4PD project, granted by Royal Society and Newton Fund (NAF\R2\180773), Edinburgh Centre for Robotics (ECR), grant EP/L016834/1, and S{\~a}o Paulo Research Foundation (FAPESP), grants 2017/02377-5 and 2018/25902-0.0. Funding Information: 1This work is part of a multidisciplinary project, the Neuro4PD: Neurorobotics Model of Parkinson{\textquoteright}s Disease. Its main goal is to gain further insights into the mechanisms of PD by combining neuroscience, machine learning and robotics expertise from Brazil and the UK. The project is funded by the Newton Fund and Royal Society in the UK (https://www.macs.hw.ac.uk/neuro4pd/). Funding Information: Authors would like to thank Dr. Leonardo Elias and Marcelo Romano from UNICAMP for providing the source code of the computational model. Funding. This work was part of the Neuro4PD project, granted by Royal Society and Newton Fund (NAF\R2\180773), Edinburgh Centre for Robotics (ECR), grant EP/L016834/1, and S?o Paulo Research Foundation (FAPESP), grants 2017/02377-5 and 2018/25902-0.0. Publisher Copyright: {\textcopyright} Copyright {\textcopyright} 2021 Pimentel, Moioli, de Araujo, Ranieri, Romero, Broz and Vargas.",
year = "2021",
month = jul,
day = "1",
doi = "10.3389/fnbot.2021.640449",
language = "English",
volume = "15",
journal = "Frontiers in Neurorobotics",
issn = "1662-5218",
publisher = "Frontiers Media S. A.",
}