ADATA-DRIVEN BIOPHYSICAL COMPUTATIONAL MODEL OF PARKINSON’S DISEASE BASED ON MARMOSET MONKEYS Caetano M. Ranieri Jhielson M. Pimentel Institute of Mathematical and Computer Sciences Edinburgh Centre for Robotics University of Sao Paulo Heriot-Watt University Sao Carlos, SP, Brazil Edinburgh, Scotland, UK
[email protected] [email protected] Marcelo R. Romano Leonardo A. Elias School of Electrical and Computer Engineering School of Electrical and Computer Engineering University of Campinas University of Campinas Campinas, SP, Brazil Campinas, SP, Brazil
[email protected] [email protected] Roseli A. F. Romero Michael A. Lones Institute of Mathematical and Computer Sciences Edinburgh Centre for Robotics University of Sao Paulo Heriot-Watt University Sao Carlos, SP, Brazil Edinburgh, Scotland, UK
[email protected] [email protected] Mariana F. P. Araujo Patricia A. Vargas Health Sciences Centre Edinburgh Centre for Robotics Federal University of Espirito Santo Heriot-Watt University Vitoria, ES, Brazil Edinburgh, Scotland, UK
[email protected] [email protected] Renan C. Moioli Digital Metropolis Institute Federal University of Rio Grande do Norte Natal, RN, Brazil
[email protected] September 2, 2021 arXiv:2107.12536v2 [q-bio.NC] 1 Sep 2021 ABSTRACT In this work we propose a new biophysical computational model of brain regions relevant to Parkin- son’s Disease (PD) based on local field potential data collected from the brain of marmoset monkeys. Parkinson’s disease is a neurodegenerative disorder, linked to the death of dopaminergic neurons at the substantia nigra pars compacta, which affects the normal dynamics of the basal ganglia-thalamus- cortex (BG-T-C) neuronal circuit of the brain.