Theoretical and Computational Neuroscience
Author: Jiménez Armas Lijandy | Email: lijandy92@gmail.com
Lijandy Jiménez Armas 1°, Constantino Méndez Bértolo 2°, Florencia Sanmartíno 3°, Fernando López Sosa 2°, Raúl Rashid López 4°, Raúl Espinosa Rosso 4°, Javier Gonzalez Rosa 3°, Diego M Mateos 1°
1° Instituto de Matemática Aplicada del Litoral (IMAL-CONICET-UNL), 3000, Santa Fe, Argentina
2° Department of Psychology, University of Cadiz, 11003 Cadiz, Spain
3° Institute of Research and Biomedical Innovation of Cadiz (INiBICA), 11009 Cadiz, Spain
4° Department of Neurology, Puerta del Mar Universitary Hospital, 11009 Cadiz, Spain
Parkinson’s disease stands out as a prominent neurodegenerative disorder with profound impacts on both movement and muscular control, affecting a global community of over 6 million individuals. Among the array of available treatments, Deep Brain Stimulation (DBS), characterized by the implantation of cerebral electrodes, has emerged as a highly effective intervention. By delivering electrical pulses, DBS alleviates motor symptoms such as tremors and rigidity, thereby enhancing patients’ overall quality of life. However, beneath its impressive efficacy, a pivotal question lingers: What precisely unfolds within the cerebral dynamics of a person with Parkinson’s, and how does DBS modulate these dynamics?
To unravel this intricate inquiry, our investigation delved into a meticulous analysis of high-density EEG records sourced from Parkinson’s patients experiencing both active and inactive DBS, juxtaposed against a control group. Employing classical metrics like power spectrum and drawing from information theory, encompassing entropy and complexity, we aimed to uncover nuanced shifts in neural patterns and responses induced by DBS.
Our results reveal significant differences in the power spectrum and information quantifiers between control subjects and those with Parkinson’s when DBS is turned off. However, these differences noticeably diminish when DBS is turned on. This suggests that brain dynamics are indeed impacted by Parkinson’s disease, yet the implementation of DBS tends