Numerical Analysis of Parkinson’s Disease in a Basal Ganglia Network Model

The paper constructed a network of basal ganglia and considered the normal state, Parkinson Disease (PD) state and Deep Brain Stimulation (DBS) therapy in this basal ganglia (BG) model. The membrane potential of neurons in BG are obtained with the help of Winnerless Competition (WLC) model. The indexes of EI (Error Index) and phase plane are used in normal state, PD state and DBS therapy state respectively to show the validity of the DBS therapy. In the end, we add the receptor and effector to this network to discuss the neural network information processing of BG and explore what effect that different kinds of connectivity strength between the cortical neurons bring to the network information processing.