The invention belongs to the technical field of Parkinson's
disease sleep disorder research, and particularly relates to a
neural network modeling method for researching Parkinson's
disease sleep disorder. Firstly, nucleuses forming the neural network are determined, the nucleuses comprise a cortex,
striatum, a globular pallidum outer side, a globular pallidum inner side, a subthalamic
nucleus, a
thalamus and a foot bridge
nucleus, the cortex comprises rCTX and iCTX neurons, and the
striatum comprises D1 middle spinous neurons and D2 middle spinous neurons; then, mathematical modeling is carried out on neurons of various nuclei, and
membrane potential equations of various neurons are obtained; and finally, performing synaptic connection on neurons, adopting an Alpha synaptic model for synaptic connection between neurons rCTX and D2, between rCTX and iCTX, between iCTX and rCTX, between D1 and GPi, between D2 and GPe, between D1 and D1, between GPe and GPi, between GPe and GPe, between STN and GPi, between GPi and Th, between GPi and PPN, and between Th and rCTX, and adopting a double-index synaptic model for synaptic connection between neurons GPe and STN, between rCTX and STN, between PPN and STN, between STN and GPe, and between STN and PPN. According to the method, the foot bridge
nucleus is introduced on the basis of the basal nucleus-
thalamus-cortex neural network, the association between the foot bridge nucleus and the
sleep disorder is established, and the blank of research on the sleep disorder of the Parkinson's
disease is filled.