Abstract
[Extract]
Parkinson’s disease (PD) is characterized by loss of dopamine generating neurons in the substantia nigra pars compacta (SNpc). Therefore, most models simulate PD by decreasing the quantity of dopamine levels (Helie, Chakravarthy, & Moustafa, 2013). Some theoretical models of PD incorporate projections of dopamine into the basal ganglia (BG) and also frontal cortex (Glimcher, 2011). Furthermore, it is known that dopamine also plays an important role in regulating the basal ganglia-frontal functional connectivity by modulating the connectivity efficacy (Wickens & Kotter, 1995). Based on these functional aspects of dopamine, computational models can be designed to evaluate the motor and cognitive deficits in PD.
| Original language | English |
|---|---|
| Title of host publication | Computational Models of Brain and Behavior |
| Editors | Ahmed A. Moustafa |
| Publisher | Wiley-Blackwell |
| Chapter | 10 |
| Pages | 125-138 |
| ISBN (Electronic) | 978-1-119-15918-6 |
| ISBN (Print) | 978-1-119-15906-3 |
| Publication status | Published - 2018 |
| Externally published | Yes |