Neural model of dopaminergic control of arm movements in parkinson’s disease bradykinesia

Authors:
Vassilis Cutsuridis
Affiliations:
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Athens
Venue:
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Year:
2006

Citing 1
Cited 2

A neural network model of Parkinson's disease bradykinesia

Neural Networks

A Bio-inspired Architecture of an Active Visual Search Model

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
2011 Special Issue: Origins of a repetitive and co-contractive biphasic pattern of muscle activation in Parkinson's disease

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Patients suffering from Parkinson’s disease display a number of symptoms such a resting tremor, bradykinesia, etc. Bradykinesia is the hallmark and most disabling symptom of Parkinson’s disease1 (PD). Herein, a basal ganglia-cortico-spinal circuit for the control of voluntary arm movements in PD bradykinesia is extended by incorporating DAergic innervation of cells in the cortical and spinal components of the circuit. The resultant model simulates successfully several of the main reported effects of DA depletion on neuronal, electromyographic and movement parameters of PD bradykinesia.